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PLAGIARSM STATEMENT
Plagiarsm (unacknowledgment borrowing and
quotation) is an examination offence and carries heavy
penalties. The following tittle:
The effect of Health Education on Knowledge
and Attitude on Medication Regimen Adherence Among
Hypertension clients at Sawangan Village, Airmadidi
sub district
I declare that, apart from properly referenced
quotations, this baby thesis is my own work and
contains no plagiarsm; it has not been submitted
previously for any other assessed unit on this or other
degree courses.
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Jedeth Jenefa Mamora Djoko Sutopo, MAN Researcher Research Advisor
DEDICATED TO:
My Beloved Parents
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AKNOWLEDGEMENT
I would like to thank you and convey my
appreciation and gratitude to the following persons
who, in various ways have helped me completed this
piece of work.
Djoko Sutopo, MAN, my adviser, for all the
critical comments, constructive and invaluable
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suggestions, guidance in helping me shape this work
into what it is;
S.J. Laoh, PhD, a panel member for his ensuring
and unselfish advises;
Ir. Amelia Tanalase, M.Si, a panel member for
enriching this study with her expertise in statistics;
Nova Langingi, MSN, a panel member for her support
to improve this writing and shaped it to a better
result;
Jennie J. Lintjewas, SKep., Head Nurse
Coordinator of Sawangan Health Community Center for
allowing this study to be conducted at Sawangan
Community; as well her support during data gathering
period;
’Kepala Jaga’ I-IX and health cadres of Sawangan
area, for all the support during data gathering period;
UNKLAB Nursing Faculties and Librarians, for your
support;
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Lely Sualang, MA and Jenny Zebedeus, MBA, friends
for your untireless encouragement;
Nursing 2nd Batch, classmates for your friendship
and good teamwork.
TABLE OF CONTENT
TABLE OF CONTENT ............................... i-ii
I. THE PROBLEM AND ITS BACKGROUND .............. 1
Introduction .............................. 1
Problem Statement............................ 5
Significant of the Study .................. 5
Scope and Limitations on Research ......... 5
Definition of terms used in the study .... 8
II. REVIEW OF LITERATURE ....................... 8
Health education .......................... 8
Knowledge .................................. 13
Attitude .................................. 18
Hypertension .............................. 21
Primary Health Care ....................... 37
District ................................... 38
Theory Framework .......................... 38
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Conceptual Framework ...................... 42
Statement of Hypotheses ................... 43
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III. RESEARCH METHOLOGY........................... 45
Design .................................... 45
Subjects Participant in the study ......... 49
Subject sampling and allocation ........... 49
Limitation on Research .................... 50
Location .................................. 51
Data Collection ........................... 51
Ethical Considerations .................... 54
Collection of data Pre and Post ............ 56
Flow of data collection ................... 58
IV. PRESENTATION, INTERPRETATION AND ANALYSIS OF DATA
Description of the Participants’Socio-
demographic Profile...............................
The Outcomes Measure.................
V. SUMMARY, CONCLUSIONS AND RECOMMENDATIONS………..
Summary..............................
Conclusions..........................
Recommendations......................
References
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Appendices
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ABSTRACT
The primary purpose of this empirical study was toevaluate the effect of health education toward knowledge, attitude and medication regiment adherence amongst clients with hypertensive disease.
The study utilized quasi experimental pre-test andpost-test design.
There was an effect to the knowledge and attitude before and after health education. The effect of knowledge and attitude to self-report medication adherence behavior were both significant. There was no effect of health education on knowledge when adjusted with gender, age and education level likewise with attitude when adjusted with age and education level except gender was influenced by the treatment.
Key words: health education, knowledge, attitude, medication adherence,
Hypertension
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Chapter I
THE PROBLEM AND ITS BACKGROUND
Introduction
Hypertension is an imperative global public-health
challenge since of its high incidence and concomitant
risks of cardiovascular and kidney disease (Whelton
and He, 1997; Whelton, 1994, in Kearney, Whelton,
Reynolds et al, 2005). It has been identified as the
leading risk factor for mortality, and is ranked third
as a cause of disability-adjusted life-years in
Kearney, Whelton, Reynolds et al, (2005) as cited by
Ezzati, Lopez, Rodgers, Vander Hoom and Murray (2002).
The prevalence of hypertension in various regions of
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the world has been widely reported (Ueshime, Zhang &
Choudbury, 2000; Singh, Suh, Singh et al, 2000;
Hernandez-Hernandez, Armas-Padilla, Armas-Hernandez &
Velasco, 2000; Halberstein, 1999; Gupta, 1999; Wolf-
Maier, Cooper, Banegas et al, 2003 in Kearney,
Whelton, Reynolds et al, 2005). According to World
Health Organization Europe survey, hypertension
remains a major health problem in most countries due
to its impact on the population attributable to
mortality and morbidity due to insufficient
hypertension prevention and control at the community
level (Murray and Lopez, 2005). The mortality rate is
accounted for more than 5.8% of total deaths; 1.9% of
years of life lost and 1.4% disability adjusted life
years all over the world; it affects about 20% of
adult world wide (Heneghan, 2007) and by 2025 it is
projected that 29% of the world’s population (over
1.56 billion adults) will have hypertension.
Hypertension is categorized under chronic disease
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since it is a lifelong disease (Lewanczuk, 2008) and
other examples of chronic disease that need a long
treatment are diabetes mellitus type 2, renal disease,
Asthma, Chronic Obstruction Pulmonary Disease (COPD),
and HIV/AIDS. A study of the burden of chronic
diseases in twenty-three low-and middle-income
countries posits that chronic disease is responsible
for 50 percent of the disease burden in 2005 and
estimates an economic loss of almost $84 billion (U.S.
dollars) between 2006 and 2015 if nothing is done to
address the burden (Mathers and Loncar, 2006).
According to Endang Rahayu Sedyaningsih the
disease prevalence of hypertension in Indonesia had an
average of 31 percent (which means from ten individuals
there will about three individuals diagnosed as having
of hypertension disease) and accounted for over six
percent of deaths in all ages of the population
(National Basic Health Research Ministrys 2007 as cited
by Endang, at the National Jakarta Post). The research
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result also pointing out that the curve line of
hypertension incidence in Indonesia is expected to
elevate as the age advances. (Endang, S., as cited in
the Jakarta post magazine).
Since the researcher interest study is at one of
the North Sulawesi regency level which is North
Minahasa thus, the most recent annual data statistic
as per ten most leading diseases found among it was
hypertension (DHO, 2009); precisely the disease rank
second from the ten top leading diseases with a total
sum of 16, 024 patients.
There are numerous and varies reason as for the
hypertension high rate contributions; related
literatures highlighted on life-style (Gascon et al,
2004) but, mark highest on low regimen adherence
(Morisky, Bowler, and Finlay; Gascon et al; Klein,
Walker and Macleod). The World Health Organization
(WHO) referred to non-adherence as “a worldwide
problem of striking magnitude” and improving adherence
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to medication has become a priority for health care
researchers and policy makers in Hayne, Akloo, Sahota,
Mcdonald &Yao report (as cited in Clifford, Garfield,
Eliiason & Barner, 2010). Researchers suggest that
30-50% of patients do not take their medication for
chronic conditions as prescribed (Home, Barner,
Weiman, Elliot, Morgan and Cribb, in Clifford, et al.,
2010). The cost of non-adherence to patients is a
missed opportunity for treatment gain and, if their
condition worsens, a possible decline in their quality
of life. Costs also arise from the perpective of the
health care system in England; the cost of unused or
unwanted medications exceeds GBP 100 million annually
(Cantrell, Eaddy, Regan and Sokol in Clifford et al
2010). Furthermore, the increased likelihood of
hospitalizations and
complications as a result of non-adherence can also
increase costs. According to Gascon et al (2004) lack
of comprehensive explanation about hypertension
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disease contribute to the low adherence as well as to
the attitude. Survey on Knowledge, Attitude and
Practice (KAP) on hypertension was conducted at
Seychelles by Aubert, et al (1998) confirm that
knowledge on hypertension was good among the
hypertension clients however; the proportion in
regards to attitude and practice in terms of adopting
healthier life-style was smaller among the
hypertension clients; and none of the survey variables
draw on regimen adherence. Numbers of studies had
been done in order to find out factors contribution to
the low medical adherence among hypertension clients
in other coutries (Al-Mehza, Al-Muhailije, Khalfan,
Al-Yahya, .(2009); Gascon, Sanchez-Ortuno, Montserrat,
Lior, Skidmore, Saturno (2004); Osteberg and Blaschke
(2005); Bin Abdullah (2007) however none of it has
attempt to analyze the effect of health education
intervention which, include knowledge and attitude to
the medical regimen adherence of clients with
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hypertension disease in Indonesia particularly at one
of the sub district of regency North Minahasa,
provincial North Sulawesi. To such reason, the
research study was conducted.
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Research Problem Statement
1. To determine the outcomes of the health
education intervention on the knowledge of
clients with high blood pressure
2. To determine the outcomes of the knowledge of
clients with high blood pressure on medical
adherence behavior
3. To determine the difference in the outcomes of
health education nursing intervention in the
knowledge of clients with high blood pressure
before and after intervention based on the
following factor influencer:
a. Gender
b. Age
c. Education background
4. To determine the outcomes of the health
education intervention on the attitude of
clients with high blood pressure
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5. To determine the outcomes of the attitude of
clients with high blood pressure on medical
adherence behavior
6. To determine the difference in the outcomes of
health education nursing intervention in
attitude of clients with high blood pressure
before and after intervention based on the
following factor influencer:
a. Gender
b. Age
c. Education background
Goal of the study:
To Community
The research study will benefit public about the
relation between knowledge, attitude and medical
adherence on hypertension disease as well as to
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enlightening clients’ wth hypertension disease in order
to comply with the physician prescription through
health education intervention.
To the Education Institution
The research study will hopefully give a
significant contribution to the education institution,
especially the Nursing Fakulties as it stands on the
behalf Nursing College students about the effect of
health education on knowledge, attitude and medical
adherence amongst hypertension clients.
To the Researcher and Knowledge Development
The research study will confidently give a
significant contribution to the researcher in terms of
gain experience in conducting the study as well as to
the gain knowledge itself. The study will hopefully
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give a significant contribution to the knowledge
development in nursing subject in terms of increase
adherence to the antihypertensive medication amongst
hypertension clients.
Scope and limitation of the study
Only clients with essential or primary
hypertension disease (without co-morbid disease) were
choosen to receive intervention. Respondents’ age
were limited to ≥18 years and have taken at least
three times blood pressure examinations. Clients was
labeled as uncontrol hypertensive if the mean of the
three measures of systolic blood pressure (SBP) is
≥140 mmHg and/or diastolic blood pressure (DBP) is ≥90
mmHg other limitation is the time given between the
pretest and posttest as to observe the study effect
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was two weeks due to financial and time constraint of
the researcher.
The study findings were limited in
generalizability because the study was conducted in
one village, in a selected geographic location with
limited number of subjects. The intent of this study
is to find causality between the natures of medication
adherence with selected intrapersonal factors using a
medium of health education; thus, the study will not
provide a complete understanding of the nature of
medication adherence. The data is a structured
questionnaire which design to withdraw responds which
basically will be subjective in nature; thus to this,
the researcher unable to guarantee the respondent’s
truthfulness. The respondents will be clients having
a hypertension disease within the working area of
North Minahasa; able to communicate and willing to
fill up the questionnaire. If the client unable to
participate then the family will be asked the
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question, while for client who refuse shall not be
used as a valid respondents.
Definitions of Operational Terms
Health education Intervention
Health education intervention is a teaching
component to a selected people with the define disease
in a housing setting and by an appointment. The aim of
the intervention is to give information and thus, the
participant may increase in knowledge about the disease
issues; and may have a new and positive outlook of the
disease as well. Both of the researcher and the
participant are expected to be active in giving
responds and raising questions.
Knowledege, Attitude and medical adherence
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Knowledge in here is the information in regards to
the disease in nature, causes, classification and
prevention. In this context, the participant may gain
information as to the disease they have and now how to
anticipate.
Attitude is the perception or how a person sees or
value. In here the outlook of the participant is
influence by the disease information given and thus, it
will intrernalized to each of the participant and sees
it as positive.
Non adherence define in this study as being absent
or not showing up on appointment time for follow up and
not taking treatment medication <80% of the prescribed
anti-hypertensive drugs.
Vital Sign Intervention
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Vital Sign intervention is the sign of life which
is recorded by the health officer in order to analize
the basic body function as this may give a clue to a
certain organs working condition which is translated in
numbers.
Sistolic is the number obtained while the heart
muscle contracted through a blood pressure instrument
using sphygmomanometer and stethoscope.
Diastolic is the number obtain while the heart
relaxing through a blood pressure instrument using
sphygmomanometer and stethoscope.
Hypertensive Client is a client resides in a
community while having the hypertension disease.
Confounding Variable Intervention
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There are number of factors which influence
someone health statuses such as behavior or practice
and values. Mediation which may influence the
knowledge, attitude and medical adherence:
Gender is a physical and spiritual aspect which
differentiates two human beings as a female and a male
or a woman and a man. This cover all sex types (man and
woman) and these differences will be used to know if
there is a difference in knowledge, attitude and
medical adherences.
Age is the phase of individual development which
measures the length of life from birth until present.
This is to refer the respondent with below or equal 50
to over 60 years; where age differences will be used to
identify knowledge, attitude and medical adherences.
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Education Attainment is a continuation education
process from a high adjustment and intelligent
development, emotional and humanity. In this context
it refer to the level attainment of each respondent
from no school, Elementary, Junior High School, Senior
High School, College and Graduate Studies which will be
used to identify differences to the knowledge, attitude
and medical adherence experienced.
Chapter II
REVIEW OF LITERATURE
This chapter analyzes theoretical framework of
health education, knowledge, attitude and adherence to
regimens medication, including supporting variables of
hypertension disease both pathologically and medically
explain. Nevertheless Beker’s Health Believe Model as
the researcher chosen foundation to the theoretical
framework will be concisely described and enclosed the
chapter with summary.
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Health Education
Health education is a common term used in health
related areas mostly at community setting. The
researcher will utilized community as the target
participants; thus, the following subjects will
describe range of definition, goal, scope, methods,
models and media of health education based on community
Definition of Health Education
The following definitions are derived from various
related literatures. Health education according to
Griffiths, “health education attempts to close the gap
between what is known about optimum health practice and
that which is actually practiced.” (Griffith, 1972).
According to Simonds health education is “bringing
about behavior changes in individual, groups, and
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larger populations from behaviors that are presumed to
be detrimental to health, to behavior that is conducive
to present future health.” (Simonds, 1976). Green et al
look at health education as “any combination of
learning experiences designed to facilitate voluntary
adaptations of behavior conducive to health (Green,
Kreuter, Partridge, and Deeds, 1980). At the
prespective of Project Preparation and Practice of
health Educators health education is a “process of
assisting individuals, acting separately or
collectively, to make informed decisions about matters
affecting their personal health and that of others”
(National Task Force on the Preparation and Practice of
Health Educators, 1985).
Scope of Health Education
Scope of health education described by Griffith
(1972) stated as “health education is concerned not
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only with individuals and their families, but also with
the institutions and social conditions that impede or
facilitate individuals toward achieving optimum
health”. Green and Keuter’s PRECEDE/PROCEED Model
(2005), addresses the multiple forces that affect
health. Most recently, experts have explicitly
recommended that interventions on social and behavioral
factors related to health should link multiple livels
of influence, including the individual, interpersonal,
institutional, community, and policy levels (Smedley
and Syme, 2000). In this context, the meaning of
health education and health behavior is interchangeable
and intertwined.
Methods of health education
Cited from Notoatmodjo in Rejeki, Mandane,
Pasulle, Tamalawe, and Rondonuwu (2010) health
education methods are classified into three parts:
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Individual, group and public or mass. The former
approach is utilizing coach system which, coaching
someone who got interested to learn a new behavior.
Basic acceptance of new behavior to every person has a
various reasons. Notoatmodjo suggested health workers
to know exactly the system in order to assist
individual needs to use educational methods. Kinds of
coaching system include guidance, counseling,
counseling (guidance and counseling sessions) and
interviews are being used currently. The latter
approach is focusing to the size or number of
individual in a target group. Notoatmodjo suggested
that if the participants have more than 15 individuals
than the effective educational methods for such size is
either lecture or seminar. Meanwhile for number
participants less than 15 individuals the effective
educational methods are brainstorming, snowballs or
play and simulation. The last approach is a means of
mass communication; the target group does not focusing
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individual’s age, gender, educational level and
socioeconomic statutes but, how general public be
imbued.
Models of health education
There are various health education models in
attempt to explain by modifying or enhancing health
behavior. In this research paper, the researcher
deliberately chose to explain in the light of community
approach – the PRECEDE model (part of PRECED/PROCEED
model) and health belief model. The former model is
utilizing problem solving approach that begins with
identifying social, behavioral and environmental
factors that affects quality of life which by means to
determine the health measures to be taken. The latter
model appropriate for personal approach which assuming
every person are protecting themselves by threat
avoidance (Pender, 1996).
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Media of health education
Harjanto in Rejeki, et al (2010) defines health
education media as tools of communication and teaching,
particularly in raltion to issues of teaching and
learning process. Meanwhile, according to Mubarak et
al (2007) as something that is delivering the message
and able to stimulate the thoughts, feelings and
interest of the audience; thus, overall able to
stimulate the learning process in itself. Edgar Dale
in Sumijatun et al (2005) divides the props into the
eleven forms, which also describes the intensity of
each tool in a cone. Of the cone is seen that in the
educational process, the original object has the
highest intensity to project the perspective
educational materials or teaching.
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Figure 2.1 Edgar Dale Cone
There are benefits drawn from utilizing educational
media as Sumijatun, et al in Rejeki, et al (2010)
suggested such as:
1. Generate interest in educational goals.
2. Achieve more. Assist in overcoming language
barriers.
3. Stimulate the target of health education to
forward a message received on others.
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4. Facilitate the delivery of language education
or information.
5. Encourage the person’s desire to know.
6. Implement the knowledge gained.
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Knowledge
Knowledge is the result of human effort process to
recognize and this is the result of the familiarity,
consciousness, awareness, understanding and cleverness.
Where it must be true otherwise, it is a contradiction.
Work out occurred after the person commits to a
particular object sensing. Sensing occurs through the
human senses, namely the senses of sight, hearing,
smell, taste, and touch. Most human knowledge is
obtained through the eyes and ears (Burhanuddin in
Rejeki, et al 2010; Notoatmodjo in Rejeki, et al 2010).
It is and important responsibility of nurses to
provide knowledge to patients, patient’s family and
community about the importance of prevention, adjusting
to a new healthy lifestyle and the importance of
medical compliance to clients with chronic diseases
which is life threatening if not prevented and treated
(WHO, 2005).
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Knowledge Level
Knowledge is varying from one individual to
another individual According to Notoatmodjo (2003); and
the differences divided into several levels, such as:
1) Know (Know). Interpret material that has
been studied previously, namely recall
(recall) something specific from the entire
material has been learned or stimulus that
has been accepted.
2) Understanding (comprehension). Is the
ability to explain properly the known
objects, and correctly interpret the material
3) Application (application). Defined as the
ability of using materials that have been
learned in actual situations or conditions
(real).
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4) Analysis (analysis). That is an ability to
describe material and translate objects into
components within an organizational
structure.
5) Synthesis (synthesis). Showed the ability to
place or connect parts into a new form.
6) Evaluation (evaluation). Relate the ability
to conduct assessment of material or object.
Health Knowledge Level Indicators
According Notoatmodjo (2003), health knowledge
level of indicators is divided into:
1) Knowledge of illness and disease cover the
causes, signs and symptoms, treatment, mode of
transmission and prevention of disease.
2) Knowledge of health care and healthy
lifestyle; covers the benefits of foods and nutritious
food; the importance of sports; danger of smoking,
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alcohol and drugs; the importance of adequate rest,
relaxation and recreation.
3) Knowledge of environmental health is an area
covers the benefits of clean water, healthy way of
waste disposal, pollution, lighting and lighting
benefits of a healthy home.
Factors Affecting Knowledge
1. Educational Background
Samal, Greisengger, Auf, Lang, and Lalouscheck
(2007) studied on five hundred ninety-one consecutive
patients with stroke and with medical history of
hypertension. They were interviewed about knowledge
concerning hypertension within a multicenter hospital-
based stroke registry.
Greisengger found out seventy-seven percent of the
patients stated to have known about hypertension being
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a risk factor for stroke, but only 30% felt at
increased risk of stroke. Less than half (47%) could
identify 140mmHg or less as the maximum tolerated
systolic blood pressure, and 53% had their blood
pressure only controlled monthly or less often.
Greisengger and colleagues conclude educational level
was significantly associated with knowledge of
increased risk, possible consequences of hypertension,
and knowledge about nonmedication treatment options.
Qureshi, Hatcher, Chaturvedi, and Jafar (2007) on their
study to find out the effect of general practitioner
education to adherence hypertensive drugs uses 200
patients, and 178 (89%) successfully completed six
weeks of follow-up. The result study showed adherence
was higher among patients who had higher levels of
education (P<0.001). Viera, Cohen, Mitchell, and
Sloane (2008) sought to assess primary care patients’
current knowledge about various aspects of high blood
pressure (BP). It was mailed questionnaire approach to
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700 hypertensive patients enrolled in a practice-based
research network cohort from 24 practices in North
Carolina. The result showed independent associations
with lower hypertension knowledge was having less than
high school education (odds ratio, 2.43; 95%CI, 1.34-
4.41).
2. Age
Descriptive study conducted by Cingil, Delen, and
Aksuoglu (2009) was performed in hypertensive patients
to determine their level of knowledge on, and attitudes
to drug use. The study was carried out in 194 patients
(144 women, 50 men) who had been on antihypertensive
treatment for at least a year. The mean duration of
hypertension was 6.3+/-5.7 years. Data were collected
using a questionnaire on sociodemographic
characteristics and level of knowledge on, and
attitudes to drug use. Of the participants, 70.1% were
at the age of 50 years or beyond. Fifty-six patients
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(28.9%) were found to have a poor compliance with drug
use.
Noncompliance showed a significant association with age
being 43.1% and 22.8% in the age groups of =/<49 years
and =/>50 years. Compliance was significantly
correlated with the delivery of information to the
patients on the dose, the right time, and the
properties of the drugs prescribed. Multivariate
logistic regression analysis showed that age =/<49
years and lack of knowledge on the right time of drug
intake were independent risk factors contributing to
irregular drug use. The incidences of nonadherence
were 2.916-fold (95% CI 1.415-6.009) and 8.964-fold
(95% CI 2.164-37.127) higher in the age group of =/<49
years, and in those who did not know the right of drug
intake, respectively.
3. Gender
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Study done by Cingil, et al (2009) was performed
in hypertensive patients to determine their level of
knowledge on, and attitude to drug use. The study was
carried out in 194 patients (144 women, 50 men) who had
been on antihypertensive treatment for at least a year.
The mean duration of hypertension was 6.3+-5.7 years.
Data were collected using a questionnaire on
sociodemographic characteristics and level of knowledge
on, and attitudes to drug use. .Noncompliance showed a
significant association with gender, being 34.7% and
12% women and men, respectively.
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Attitude
Attitude is a reaction or response from someone
who is still closed to a stimulus or object
(Notoatmodjo, 2003). There also are interpreted as
evaluative statements either desirable or undesirable
about the object, person, or event (Robbins, 2003).
Attitude Levels
Attitude consists of several levels (Notoatmodjo,
2003): Receiving (Receiving). Mean that person or
subject to and pay attention to the stimulus provided.
Responding (responding). Give an answer when asked,
doing, and complete the given task is an indication of
the attitude.
Appreciate (valuing). Inviting others involved to
discuss and work on a problem.
Accountable (responsible). Responsible for everything
that has been created and selected with all the risks,
is the attitude of most high.
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Health Attitude Indicator
Several indicators of health attitudes by
Notoatmodjo (2003):
Attitudes toward pain and disease. How can anyone
judge or argue about; symptoms or signs of disease, the
cause of the transmission, prevention of diseases and
so forth.
Attitudes and ways how to maintain healthy living. How
anyone can judge and argue about how to maintain
healthy living and behaving.
Attitudes towards environmental health. How a person
expresses himself or makes judgments on the environment
and its effects on health.
Attitude is always related to an object, and is
accompanied by positive feelings when it was valued in
his view, or negative when considered worthless or too
costly. This then underlie and lead to a number of
actions that relate to each other. Even so, one can
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only have attitudes toward things that are learned. So
there should be information on someone or something.
If based on that information resulting positive or
negative feelings toward the object and cause a
tendency to behave in particular, there is the attitude
(Slamento, 2003).
Factors Affecting Attitude
1. Educational Background
Gacson, et al., (2004) regardless of educational
background, there is no differences to the attitude
however, Kubir, et al., (2004) found out on the other
way around that education has more positive attitude
compare to the no education.
2. Age
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Wibowo (2009) in his research found that the
result in different age groups there was no difference
in attitude.
3. Gender
Hoa (2003) in Vietnam and Wang (2008) in China
found no relationship between attitudes and gender,
where women have a more positive attitude in dealing
with tuberculosis disease.
Adherence to Hypertension Treatments
Clinical trials (efficacy studies) have
demonstrated that blood pressure possible to be
controlled in 70% to 80% of patients when there is a
close follow up and forced drug titration (Black et
al., 2001; Carter et al., 1994; Carter & Zillich, 2004;
Griam et al., 2001; Hanson et al., 2998).
Oliveria and coworkers found that patient factors
(adherence, patient acceptance, regimen complexity)
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were uncommon (90%) barriers cited by physicians or
patients (Oliveria, et al., 2002). One study conducted
in patients referred to a specializes hypertension
center found that most common reason for resistant
blood pressure were drug- related, including sub
optimal regimens 61%, patient nonadherence 13%,
secondary hypertension 7% and others 18% (Garg, Folker,
Izhar, Elliot & Black, 2002)
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Hypertension
Hypertension defined by McCance and Huether, 2006
in Peate and Muralitharan (2009) as a sustained
elevation in systemic arterial blood pressure; the
elevation maybe either systolic or diastolic pressure
or in both pressures. A normal upper limit for an
adult is 130-139/85-89 mmHg (Alexander et al., 2006)
and any readings consistent with the above are
considered as hypertension. Slightly differ with the
view of the Joint National Committee (2005) which
defined hypertension beginning at 140/90 mmHg for
adults aged 18 or older. On 2005, the Seventh Report
of the Joint National Committee on Prevention,
Detection, Evaluation and Treatment of High Blood
Pressure had made significant changes in classifying
blood pressure in adults aged 18 or older. The new
classification for normal adult blood pressure is less
than 120 mmHg systolic and less than 80mmHg diastolic.
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The classification is based on the average of ≥2 seated
blood pressure measurements, properly measured with
well-maintained equipment, at each of ≥2 visits to the
officer or clinic (Joint National Committee, 2005).
Chobanian, et al., 2003 in Huether and McCance, (2008)
described the new classification of blood pressure
stages as presented in Table 1.
Individual are diagnosed as having hypertension
when the average of two or more diastolic blood
pressure measurement made on three consecutive visit is
90mm Hg or higher or when the average systolic pressure
measurements made on three consecutive visits is
greater than 140 mm Hg (Huether and Kathryn, 2000;
Pickering, et al., 2005) however the latter author
clearly add the “seated blood pressure measurement” has
to be under-taken to the procedure prior to the
diagnose. Normal blood pressure is associated with the
lowest cardiovascular risk, whereas those who fall into
prehypertension category are at 90% risk for developing
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hypertension unless lifestyle modification is
instituted (Chobanian, et al., 2003 in Huether and
McCance, 2008). All stages are associated with
increased risk for target organ disease events, such as
myocardial infarciton, kidney disease, and stroke;
hence both stage I and II hypertension need effective
long-term therapy (Chobanian, et al., 2003 in Huether
and McCance, 2008). Mensah, et al., 2005 in Huether
and McCance (2008) conducted research study at USA
about “States disparities in cardiovascular health” and
found out that age and blacks compare to the whites had
increased prevalence in essential hypertension.
McCance and Huether (2008) succinctly added to the
classification that individuals may have combined
systolic and diastolic hypertension or isolated
systolic hypertension, which in most cases a
hypertension (also called as essential or idiopathic
hypertension). Primary or "essential" hypertension has
no known cause, however genetic and certain lifestyle
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factors such as body weight and salt intake are
involved. Ninety five percent of persons diagnosed with
hypertension fall into this category. The diagnosis is
made when no other cause is found. Secondary
hypertension is caused by some other medical diagnosis
or problem, such as kidney disease, Cushing's syndrome,
pregnancy, oral contraceptive use, chronic alcohol
abuse or the use of certain medications (O’Connell,
1999).
The mechanism blood pressure in a body is part of
the systemic arterial pressure which, is a by product
of cardiac output (CO) and total peripheral vascular
resistance (PVR). Cardiac output is determined by the
stoke volume and heart rate (CO=SV X HR). Control of
peripheral vascular resistance, vessel constriction or
dilation is maintained by the automatic nervous system
and circulating hormones (Ignatavicus and Workman,
2006).
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Table 2.1 Classification of blood pressure foradults age 18 years and older
Category Systolic (mmHg)
Diastolic (mmHg)
Normal* Less than 120And
Less than 80
Prehypertension 120-139Or
80-89
Hypertension
Stage 1 140-159 Or
90-99
Stage 2 160 or higher Or
100 or higher
*Unusually low readings should be evaluated for clinical significance.
(From the Seventh Report of the Joint National Committee on Detection, Evaluation, and Treatment of High Blood Pressure, 2005).
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Epidemiology perspective
National health surveys in various countries have
shown a high prevalence of poor control of hypertension
(WHO, 1999). These studies have reported that
prevalence of hypertension is 22% in Canada, of which
16% is controlled; 26.3% in Egypt, of which 8% is
controlled; and 13.6% in China, of which 3% is
controlled. Specific prevalence and incidence data of
Indonesia so far scarce to find due to classification
system of non communicable disease such as hypertension
is a part of Artery Coronary diseases. However, from
the annual review public health on ‘Hypertension:
Trends in Prevalence, Incidence and Control’ conducted
by Hajjar et al (2006), he and colleagues investigation
on data based population noted that prevalence of the
disease increasing worldwide. “It was estimated 972
million people suffered with hypertension. The
incidence rate of hypertension range between 3% to 18%
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depending on age, gender, ethnicity and body size of
the population studied” (Hajjar et al, 2006).
Hypertension is a worldwide epidemic; in many
countries, 50% of the population older than 60 years
has hypertension. The 20% prevalence is for
hypertension defined as blood pressure in excess of
140/90 mm Hg. The prevalence dramatically increases in
patients older than 60 years.
According to Muralitharan and Peate (2009) data at
the National Health and Nutrition Examination Survey
(NHANES), record at least 65 million adult Americans,
or nearly one-third of the US adult population, have
hypertension, defined as a systolic blood pressure 140
mm Hg, diastolic blood pressure 90 mm Hg, and /or
current use of antihypertensive medication. Another
one-quarter of US adults have blood pressure in the
“prehyperteansion” range, a systolic blood pressure of
120 to 139 mm Hg or diastolic blood pressure of 80 to
89 mm Hg, ie, a level above normal yet below the
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hypertensive range. The prevalence of hypertension
rises progressively with age, such that more than half
of all Americans aged 65 years or older have
hypertension. Other sources from the evidence based
done by Brashers (2006) pointed that hypertension is a
risk factor for coronary artery disease, congestive
heart failure, stroke and renal failure. Further noted
the optimal blood pressure is 115/75 mm Hg (Dreiscbach,
2010) and at each 20-mm Hg increase in systolic
pressure or 10-mm Hg increase in diastolic pressure
above normal increases cardiovascular risk twofold
(Brashers, 2006; Dreisbach, 2010)
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Factors associated with primary hypertension
A specific cause for primary hypertension has not
been identified, and a combination of genetic and
environmental factors is thought to be responsible for
its development. Genetic predisposition to hypertension
is thought to be polygenic. The inherited defects are
associated with renal sodium excretion, insulin and
insulin sensitivity, activity of the rennin-
angiotensin-aldosterone system, cell membrane sodium or
calcium transport, and sympathetic response to
neurogenic hormones (Cowley, 1997 in Hueter and Mc
Cance, 2003). A mutation in the adducing gene has been
linked to changes in renal tubular sodium transport and
hypertension. Adducin is a membrane skeleton protein
that plays an important role in the determination of
cellular morphology and motility in the regulation of
membrane ion transport; mutation of the gene that codes
adducing cause an increase in tubular renal
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reabsorption of sodium; the person with this mutation
more likely will exhibit salt sensitivity and more
likely to respond to diuretic treatment (Bianchi and
Tripodi, 2003). Factors associated with primary
hypertension include: family history of hypertension;
advancing age; gender (more common in men than women
before age 55 years, more common in women after age
55); black race; high dietary sodium intake (more
than60 mEq.day); glucose intolerance; cigarette
smoking; obesity; heavy alcohol consumption; and low
dietary intake of potassium, calcium, and magnesium
(Huether and Mc Cance, 2008; Muralitharan and Peate,
2009)
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Clinical Manifestations
According to Bullock and Henze, 2000 in
Muralitharan and Peate (2009) for most patients are
unaware that they have hypertension and thus go
untreated. They ignore symptoms such as headache,
dizziness, nosebleed and fatigue. Frequently through
blood pressure screening or found out from other
disease that the person(s) finally discovered. Other
signs and symptoms that happened to some patients
reported to have blurred vision and tinnitus, however
thse signs do occur late since the disease has already
in the advance stage. This is more precisely explain
by Huenther and Mc Cance (2008) that during the initial
stages or “latent stage” (Price and Wilson, 2003) of
hypertension, there are no clinical manifestations
exhibits except for an elevated blood pressure neither
there are signs and symptoms that prompt patients to
seek medical care; and often found out too late or
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resulting in deaths; hence hypertension is commonly
called as a ‘silent killer’.
Pathophysiology of Primary Hypertension
Primary hypertension is the result of cardiac
output and peripheral resistance are the two
determinants of arterial pressure (Richard, 2007)
cardiac output is determined by stroke volume and heart
rate; stroke volume is related to myocardial
contractility and to the size of the vascular
compartment. Peripheral resistance is determined by
functional and anatomic changes in small arteries and
arterioles.
Fig. 1.1., factors affecting arterial blood pressure.
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Drug Therapy
According to Ignatavicius and Workman (2006), drug
medication is per individual basis meaning the
medications is administer based on person’s culture,
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age, coexistent disease, severity of blood pressure
elevation, cost of medication and follow up
consultation.
Report from the Seventh Joint National Committee
on Preventation, Detection, Evaluation and Treatment of
High Blood Pressure 2003 guidelines and ot/her studies
stated that most clients with hypertension need two or
more medications to adequately control the goal of
blood pressure of less than 140/90 mm Hg; or 130/80 mm
Hg for clients with diabetes or renal disease. (Joint
National Committee, 2003; Feldman, et al., 2009;
Gradman, 2009). Taken for example of the low cost
thiazide-type of diuretics; clients who suffer
essential or primary hypertension may choose this drug
as a single agent or in combination with other classes
drugs.
The JNC recommends starting any antihypertensive
drug at the lowest possible dose and gradually
increasing it until blood pressure sinks to a normal
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level. If the drug doesn’t lower pressure or if it
causes troublesome side effects, it should be replaced
with a different medication (JNC, 2003). The usual
course of treatment for stage 1 hypertension is to
begin with one drug and add a second if your blood
pressure does not decrease to desired levels (usually
less than 140/90 mm Hg; less than 130/80 mm Hg for
those with diabetes or chronic kidney disease). The
treatment for stage 2 hypertension often begins with a
two-drug combination. A third may be added if the
blood pressure doesn’t drop to an acceptable level.
With all stages of hypertension, and even pre-
hypertension, lifestyle changes are also an important
component of treatment (Fuchs, 2010; Rusko, 2010).
There are several classifications of medications
available to control hypertension
Diuretics
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Diuretics, commonly called “water pills,” are the
oldest and least expensive class of drugs used to treat
hypertension. They help the kidneys eliminate sodium
and water from the body. This process decreases blood
volume, so the heart has less to pump with each beat,
which in turn lowers blood pressure. Loop diuretics,
which act on the part of the kidney tubules called the
loop of Henle, block sodium and chloride from being
reabsorbed from the tubule into the bloodstream.
Thiazide diuretics act on another portion of the kidney
tubules to stop sodium from reentering circulation
(Pri-Med Patient education center, 2009)
One drawback of diuretics is they deplete
potassium, thus, the comsumer may need potassium
supplements. Doctors sometimes prescribe another type
of diuretic, called potassium-sparing diuretics, to
counteract potassium depletion. However, these drugs
can cause dangerously high levels of potassium in some
patients.
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Diuretics are especially effective for salt-
sensitive patients with hypertension and older patients
with isolated systolic hypertension. Aside from
hypertension, diuretics are often prescribed for fluid
retention (edema) caused by heart failure, kidney
disorders, liver disease, or premenstrual bloating.
According to the May 2003 JNC report, diuretics
are very effective and underused. JNC recommends that
thiazide diuretics be the initial drug used for most
people with hypertension, and suggests that these
medications to control their blood pressure.
Pri-Med Patient Education Center suggests common
side effects of these drugs include frequent urination,
lightheadedness, fatigue, diarrhea or constipation, and
muscle cramps. Men may occasionally experience
erectile dysfunction. Diuretics can cause gout, a
painful form of arthristis caused by the buildup of
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uric acid in the body, because they elevate blood
levels of this substance.
Anti-adrenergics
The pri-med patient education center suggests
Anti-adrenergics lower blood pressure by limiting the
action of the homones epinephrine and norepinephrine,
thereby relaxing the blood vessels and reducing the
speed and force of the heart’s contractions. They
include peripheral nerve acting agents, peripheral
adrenergic receptor blockers, and centrally acting
agents.
Peripheral acting agents
These anti-adrenergics (now used far less often
because of frequent side effects) deplete the autonomic
nerves of norepinephrine, a substance that causes
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vessels to contract and raises blood pressure. Such
drugs are usually prescribed along with other
antihypertensives since they are more effective this
way. Reserpine (Serpalan) can cause depression,
nightmares, nasal stffiness, and indigestion, while
guanethidine (Ismelin) is more apt to bring on a drop
in blood pressure upon standing up (orthostatic
hypertension) (Pri-Med Patient Education Center, 2009)
Peripheral adrenergic receptor blockers.
These drugs work by preventing neurotransmitters
from attaching to cells and stimulating the heart and
blood vessels. They are divided into two major groups:
beta blockers and alpha blockers. Beta blockers, which
have been used since the 1960s, lock on to cell
structures called beta receptors – the same receptors
that certain neurotransmitters (primarily epinephrine)
normally attach themselves to in order to stimulate the
heart. Thus, by preventing the neurotransmitters from
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activating heart cells, beta blockers cause the heart
rate to slow and blood pressure to fall. Beta blockers
come in two varieties: cardioselective and
nonselective. Cardioselective beta blockers attach
primarily to beta-1 receptors in the heart.
Nonselective beta blockers attach to beta-1 receptors
and beta-2 receptors, which are found in the lungs,
blood vessels, and other tissues. Either type of beta
blocker can worsen asthma or other chornic lung
disorders, but the nonselective agents are potentially
more dangerous for people with respiratory problems.
Beta blockers can also worsen heart failure in some
patients, while improving it in others. They can mask
the warning signs of hypoglycemia (low blood sugar) in
patients with diabetes. The most common side effects
of beta blockers are fatigue, depression, erectile
dysfunction, shortness of breath, insomnia, and reduced
tolerance for exercise.
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Alpha blockers are similar in action to beta
blockers, but they work on alpha receptors --- the
sites where neurotransmitters that cause vessel
constriction (primarily norepinephrine) attach
themselves. Drugs called alpha-1 blockers block alpha
receptors in the heart and blood vessels. They may be
especially useful for hypertensive patients with high
cholesterol. In addition to reducing blood pressure,
alpha-1 blockers also reduce “bad” LDL cholesterol
levels and increase “good” HDL cholesterol. They may
improve insulin sensitivity in patients with glucose
intolerance and hyperglycemia (high blood sugar). They
are also prescribed for men with benign prostatic
hyperplasia, a noncancerous enlargement of the prostate
gland, because these drugs relax smooth muscles
surrounding the prostate, relieving the constriction of
the urethra and easing urine flow.
Side effects of alpha blockers include orthostatic
hypotension, heart palpitations, dizziness, nasal
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congestion, headaches, and dry mouth. These drugs can
also cause erectile dysfunction, although not as
frequently as some other blood pressure medications.
Some patients require both alpha and beta blockers to
control their blood pressure. The drugs labetalol
(Normodyne) and carvedilol (Coreg) have properties of
both.
Centrally acting agents
These agents block the neurotransmitters that
activate the sympathetic nervous system to increase
blood pressure. They include clonidine (Cataperes),
guanabenz (Wytensin), guanfacine (Tenex), and
methyldopa (Aldomet). Like peripheral nerve acting
agents, they are generally used in combination with
other blood pressure medicines. Common side effects
include abnormally low blood pressure when standing up,
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dry mouth, depression, erectile dysfunction, and
sedation (Pri Med Patient Ediucation Center, 2009)
Direct-acting vasodilators
Direct-acting vasodilators relax the arterial
blood vessels. They act quickly and are often used in
emergencies. However, they can cause fluid retention
and tachycardia (fast heart rate), so doctors usually
prescribe them in combination with another blood
pressure medication that slows heart rate, such as a
cardioselective beta blocker. Hydralazine and
minoxidil, the direct-acting vasodilators most commonly
used to treat hypertension, can cause headaches,
weakness, flushing, and nausea. In addition, minoxidil
can cause hair growth, fluid retention, and
hyperglycemia (increased blood sugar).
Calcium-channel blockers
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Calcium-channel blockers slow the movement of
calcium into the smooth-muscle cells of the heart and
blood vessels. This reduces the strength of heart
muscle contractions and dilation of blood vessels,
lowering blood pressure. Because calcium-channel
blockers also slow nerve impulses in the heart, they
are often prescribed for arrhythmias (irrregular
heartbeat). Common side effects of calcium-channel
blockers are headache, edema, hearburn, bradycardia
(slow heart rate), and constipation. (Pri Med Patient
Education Center, 2009)
ACE inhibitors
This class of drugs, inroduced in 1981, has proved
widely effective in treating hypertension. These
agents prevent kidneys from retaining sodium and water
by deactivating angiotensin-converting enzyme (ACE),
which converts inactive angiotensin I to the active
angiotensin II. Angiotensin II raises blood pressure
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by triggering sodium and water retention and
constricting the arteries.
ACE inhibitors reduce blood pressure in most
patients and produce fewer side effects than many other
antihypertensive drugs. In addition, ACE inhibitors
protect the kidneys of people with diabetes and kidney
dysfunction and the hearts of people with congestive
heaert failure.
The most common side effects of these medications
are a reduced sense of taste and a dry cough. Rarely,
a patient can have difficulty breathing because of a
swelling of the lips, tongue, and throat. ACE
inhibitors can also cause potassium retention;
therefore, people with poor kidney function must use
them cautiously. Because these drugs can cause
spontaneous abortion, women who are pregnant or trying
to get pregnant should not take them.
Angiotensin II receptor blockers
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This class of medication, approved for treating
hypertension since 1995, blocks angiotensin II from
constricting the blood vessels and stimulating salt and
water retention. Because angiotensin receptor blockers
are highly effective and well tolerated by most people
who take them, these medications have become quite
popular. They do not produce any of the traditional
side effects of other antihypertensive medications, and
they are less likely to cause like ACE inhibitors do.
In addition, like ACE inhibitors, they benefit patients
with diabetes, congestive heart failure, or both.
Health Center
Community Health Centres (PHC) is the functional
organization where people receive health services and
counseling about health. Organizes health efforts that
are comprehensive, integrated, equitable, with costs
which are borne by the government and soociety; to
achieve optimal health status for the public by not
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ignoring the quality of service to individuals. The
institution is largely under the management of District
Health Office / Town (Great Dictionary of Indonesian
Languange, 2008).
Regency
District level autonomous region II led by a
regent and an office of a regent. A regency area is in
equal level with a city, which means, has an autonomous
region; has an authorization to regulate and manage the
affairs of the regency government. In here, the
regency affair is not accountable to the governor
(Great Dictionary of Indonesian Languange, 2008).
Synthesis
Studies by Feldman, Bacher, Campbell, Drover and
Chockalingam (1998) found out adherence to
pharmacologic therapy of hypertension is as low as 50%
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to 70% and has an important implications both for blood
pressure control and cardiovascular complication. On
the other hand, in the similar study done by Osterberg
& Blasche (2005) entitled ” Adherence to
Medication”concluded poor adherence to medication
regimens is common, contributing to substantial
worsening of disease, death and increased health care
costs.
Health education intervention was underscrored for
the area of hypertension (Ascroft & Desai , 1978 and
Hassel, 1976 in Livingston 1985). In Hassel (1976) it
was identified that from 4, 322 participants adults
only 40 percent identified as hypertensive and aware of
it and of this, only 13 percent were on medication.
The need of health education was also tapped with
studies conducted by Yang, Yan and Bong (2002). In
their studies on ”Drug Compliance of Patients with
Hypertension and Countermeasures” one of the factors
that affect drug compliance is the lack of knowledge
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about current prevalence for drug treatment of
hypertension and uncompliance to the doctor’s
prescription.
A prospective study was done by Khalil & Elzubier
(1997) on ”Drug compliance among hypertensive patients
in Tabuk, Saudia Arabia”. In this study pill-count
method was used to measure the study sample’s
compliance rate. The result showed 47 percent of the
study sample were uncomplied. The reason for
noncompliance includes the asymptomatic nature of
hypertension, a shortage of drugs, side effects,
forgetfulness and lack of health education.
There are many studies on the use of health
education and drug compliance, however the use of
variables knowledge, attitude and medical compliance
indicators have yet to be explored. This study
investigate the variable of health education
intervention and knowledge, attitude and medical
adherence indicators as dependent variables.
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Theoritical Framework
Research study by Widyastuti in Rejeki, et al
(2010) on the effect of health education with lecture
and discussion methods concluded that there is
significant influence of health education to the
knowledge and attitudes of patients’ osteoarthtritis.
Likewise study conducted by Suryanti in Rejeki, et al
(2010) reported that health education with lecture and
discussion methods able to change the motivation of the
respondents in the experimental group
In Newman’s systems model, nursing is a “unique”
profession (Newman in Fitzpatrick, 2005, p. 196)
concern with “all variables affecting a client’s
possible or actual response to stressors”. Through
purposely interventions, nursing can help individuals,
families, and a group to “retain, attain, and maintain
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a maximum level of optimal system wellness” (Newman in
Fitzpatrick, 2005, p. 197).
Hypertensive clients who has to take medication
continuously under the tertiary intervention and role
of nurse in this stage is to ‘help client to maintain
the current level of wellness” (Fitzpatrick, 2005, p.
197) in other words ‘the nurse serves as an active
participant by supporting the client’s defenses and
thereby assisting him or her to effectively respond to
the stressor (Fitzpatrick, 2005, p. 197). Watson sees
nursing as “collective caring-healing role and its
mission in society as attending to, and helping to
sustain, humanity and wholeness” (Watson in George,
2008, p. 406). Both theories hath similar perspective
in seeing nurse as an active, caring role in society.
Different perspective found from the model of health
belief. The model “addresses the individual’s
perceptions of the threat posed by a health problem
(susceptibility, severity), the benefits of avoiding
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the threat, and factors influencing the decision to
act (barriers, cues to action, and self-efficacy).”
(Rimer and Glanz, 2005). The model touches the
intrapersonal level of an individual in order to seek
an understanding of individual’s behavior. The model
is relevant to the current study since the study is
using knowledge and attitude as several component of
individual’s adherence.
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Conceptual Framework
Knowledge
Medicationregimen
AdherenceHealth
Education
Confoundingvariables:
a. Genderb. Agec. Educational
Attitude
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Hypothesis Statements:
Ho1.a: there is no effect of health education to
knowledge amongst hypertensive clients.
Ho1.b: there is no effect of health education to
attitude amomgst hypertensive clients.
Ho2.a: there is no effect of knowledge to medication
adherence amongst hypertensive clients.
Ho2.b: there is no effect of attitude to medication
adherence amongst hypertensive clients.
Ho3.a: there is no effect of health education toward
knowledge based on pre and post test scores when the
following variables are considered:
a. Gender
b. Age
c. Educational background
Ho3.b: there is no effect of health education toward
attitude based on pre and post test scores when the
following variables are considered:
a. Gender
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b. Age
c. Educational background
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Chapter III
METHODOLOGY
This chapter describes the method, the research
design, setting, instrumentation and the data
gathering procedure
The Research design
The research deliberately uses quasi experimental
study as the design of her underlying framework study.
In this study design the research’s purpose is to
examine causality between the experimental treatment
(the independent variable) and the dependent
variables. It is a partial experimental design where
“at least one of the following components of true
experimental design is lacking (random sampling,
control groups and manipulation of the treatment).”
(Burns and Groove, 1993, P. 305); the researcher has
chosen to control the threats to the validity of the
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study by controlling the treatment; the reliability
and validity measurement of the dependent variables
deliberately choose the nonequivalent control group
design specifically the one group pretest-posttest
design in controlling the threats .The nonequivalent
control group design by the researcher due to the
control group is not selected by random means (Burns
and Groove, 1993). The advantage of using the one
group pretest-posttest design is that both treatment
and dependent variables are in researcher control.
Pretest scores of treatment group is expected to serve
as a control group though the disadvantages is that it
may altered or threat the validity by “maturation
processes, administration of the pretest, changes
instrumentation and statistical regression.” (Burns
and Groove, 1993, P. 307). The researcher is also
using nonprobability sample design which is purposive
sampling process. The research design is constructed
as follow:
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O1 X O2
O1 = pre test
O2 = post test
X= health education intervention
Treatment of the data
The selected clients answer questions on the
questionnaires which were used as the pretest to the
treatment. Information which, includes the modifying
variables such as: age, gender classification and
education attainment.
Data was analyzed using SPPS software. Ratio
scale in measuring and scaling the dependent variables
was utilized in order to find the effect of health
education on knowledge and attitude on medication
adherence of clients with hypertensive.
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Ho1.a and Ho1.b, to know the effect of health
education to knowledge and attitudes amongst clients
with hypertensive using the formula:
T pair:
t=dsd√n
sd=∑ d2−¿¿¿¿
Description:
d= differences
d= mean differences
sd= standard deviation
n = sample size / population
T pair test, decision making is based on the value
that is, if p value <.05 then Ho is rejected
Ho2.a and Ho2.b, to know the effect of knowledge
and attitude to medication adherence amongst clients
with hypertensive using the following formula:
Model Regression: γ=βo+β1x
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γ=dependentvariable
βo=¿ Constant
x=Independentvariable
t test formula: t = β1−Os √SSx
s=√ SSEn−2
SSE=SSy−β1SSxy
S= standard deviation
SSE= Sum of Square Error
SSx=Sum of square variable x (independent variable)
SSy=Sum of Square variable y (dependent variable)
SSxy=Sum of Square of multiplicative variable x and y
Regression Coeficients test decision making is
based on the value that is, if p value <.05 then Ho is
rejected.
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Ho3.a and Ho3b in order to know the effect of
health education to knowledge and attitude based on
pre and post test scores when the confounding
variables such as age, gender and education attainment
are considered, two statistics tools are used.
Confounding variable of age and educational level
utilizes ANOVA; as for gender variable, Independent
sample T test is used.
The formula of ANOVA and Independent sample T
test written as follow:
ANOVA: F=MSbMSe
Independent sample T test: t=X1−X2SX1−X2
Participants in the study subjects
As the population to be used in this study is
medication compliance of hypertensive are in the
clients working area of North Minahasa, precisely at
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district of Airmadidi Bawah and will for time to time
seek treatment assessment until November 2010.
Population and Sampling
There are one hundred thirty four (134) out-
patients with hypertensive cases found in HCC
Sawangan, Airmadidi, 2009. Sixty (60) subjects
consisted of adult male female age’s ≥ 18 years used
as the sample.
Sampling and Subject Allocation
Samples in this study is the whole object being
researched or considered to represent the entire
population with inclusion criteria are the general
characteristics of the subjects from a population
target that can be reached and studied, and exclusion
criteria is to eliminate or remove a subject that does
not meet the criteria for inclusion of a study for
various reasons (Nursalam, 2008).
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The inclusion criteria in this study:
a. Respondents age 18 years and above
b. Respondents who are presently using
antihypertensive medication
c. Respondents who are diagnosed as essential
hypertensive disease
d. Respondents who seek treatment at Airmadidi
Bawah health center of North Minahasa regency.
e. Respondents who reside in the working area of
North Minahasa regency clinic.
Exclusion criteria in this study consisted of:
a. Respondents who are diagnosed as having
secondary hypertensive disease
b. Respondents in the unconscious state of mind
c. Respondents who refused to participates
Location
The existence of the respondents to be studied is
hypertensive patients who are located at the area of
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north Minahasa regency Sawangan health community
center.
Data Collection
The 60 subjects were selected by a register nurse
from the health center.. The subjects were tested
before health education given. A lesson review was
given again on the following day in order to enhance
subjects’ understanding. A follow up test was given
after 14 days of the first test. Each subject
received questionnaire, as well as verbal instruction
on how to complete the instrument; the content of pre
test and post will be the same. The collection of
data obtained from primary data, is data obtained
directly through observation and interviews with the
respondents using a questionnaire. In the
questionnaire questions for the knowledge and
attitude, medication adherence, are separated and each
correct answer and one score.
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1) Answer to question on the knowledge part
rated as one (1) if answer correctly; and rated as
zero (0) if the answer false. Set of Knowledge
questionnaire is adopted based on Abdullah (2008) in
tittle ‘Hypertension Knowledge and Adherence Study in
a Specialist Outpatient Medical Clinic in Miri
Hospital, Sarawak, Malaysia – A Pilot Study.
(Appendices C). Scores obtained from each question are
added and then divided by the number of questions;
then, the results were processed using SPPS software.
2) Answer to question on the attitude is adopted based
on questionnaire used by Abdullah (2008) in tittle
‘Hypertension Knowledge and Adherence Study In A
Specialist Outpatient Medical Clinic In Miri Hospital,
Sarawak, Malaysia – A Pilot Study in a form of Likert
scale which the value of strongly agree = 5, agree=4,
hesitated=2, disagree=2, strongly disagree=1
(appendices C). Values obtained from each column are
summed up and made up the average value-flat; the
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results are processed using SPPS software. Test
validity and reliability were perfomed. Test of
validity utilizing Pearson r was significant (0.01) in
ten- items average. Test of reliability was also
performed with a Cronbach’s alpha of .84 as a result.
This reliability coefficient was much higher than the
score of .70 which commonly considered acceptable for
research purposes (Field, 2005; Franken & Wallen, 2003
in Rondonuwu, 2006). Eight-item of questionnaires on
medication adherence which adopted from eight-item
Morisky Medication Adherence Scale will be used to
monitor patients’ adherence to the prescribe
medication (appendices C). It is a closed question
and categorizes each correct answer as one (1) and
false answer as nil (0).
Each respondent will receive a demographic form
(appendices C) and a consent form including the
investigator’s name, the purpose of the study and the
rights of the subjects regarding participation.
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All of the adopted tools were translated into
Indonesian language by the researcher. The tools were
being evaluated by three experts in this area, and
were tested unto fifteen lay people having
hypertension disease and changes were made after the
review. A statistic tools to test the validity and
reliability of attitude questionnaire was performed
with Pearson-r and alpha value (appendices B).
Ethical Considerations in Research
A recommendation letter from the Klabat
University was submitted to the health centers in
North Minahasa regency.
1. Informed consent form given to client with
hypertension disease at the working area of North
Minahasa regency. Informed consent is equipped
with the investigator’s name and purpose of the
study and subject right in participation.
2. Anonymity
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In order to maintain confidentiality, the
investigator will utilize special code to each
answered questionnaire.
3. Confidentiality
Respondents are guaranteed for information
confidentially, and only certain data will report
as a result of investigation.
Data Analysis
T paired test decision making is based on the
value that is, if p-value <.05 then Ho1 rejected,
meaning that there is an effect of health education to
the level of knowledge and attitude of hypertensive
client. Conversely, if p-value >.05 the Ho1 accepted,
meaning there is no effect of health education with
knowledge and attitude of hypertensive clients.
Likewise with Regression coefficients, decision making
is based on the value that is, if p-value .05 the ho2
rejected, meaning there is an effect of knowledge to
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medical adherence of hypertensive clients before.
Meanwhile, when the value p-value >.05 is concluded
accept Ho2, meaning that no effect of knowledge to
medical adherence of hypertensive clients. ANOVA and
Independent sample T test decision making are used on
the value that is, if p-value <.05 then Ho3 is
rejected, meaning that there is an effect of health
education to the knowledge and attitude based on pre
and post test scores when the confounding variables
are being considerered.. Conversely, if p-value >.05
the Ho3 is accepted, meaning there is no effect of
health education toward knowledge and attitude based
on pre and post test scores when the confounding
variables are being considered.
Data Collection Procedures on Pre and Post
Data collection procedure (Pre):
1. Gather preliminary data in Puskesmas
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2. Reported in the Village office for data collection
in the working area health center
3. Visiting the respondents in each house
respectively
4. Opening salutation
5. Explaining the purpose and goals
6. Give informed concent, as a sign the patient
agrees to be the respondent
7. Explaining how to fill out questionnaires.
Treatment
1. Provide health education about hypertension
disease
2. Make arrangements for another meeting
3. Thank you
4. Back to visit the respondents in their homes
5. Opening salutation
6. Repeating the material that has been given
Data collection procedures (Post)
1. Respondents completed the same questionnaire
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Chronology of Data Collection Planning
Table, Time calendar
Letter approval from thedean of nursing
Letter approval from thehead of
Airmadidi BawahCommunity Health
Third meeting:Review of lesson 30
minutes
Data collection; tabulation;data process;Data report
Second meeting:Distribute questionnaire;
conduct healthEducation 30-45 minutes;
Fourth meeting:Distribute questionnaire;collection of questionnaire
First meeting:Investigator self introduction,
clarity the purpose andadvantage of the study; gain
Approval of research proposal
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Figure 3.1 Flow of data collection planning
Table 3.1 Time calendar
No.
Keterangan
12th
month
1st month 2nd month 3rd
month
4th
month
W
1
W
2
W
3
W
1
W
2
W
3
W
4
W
1
W
2
W
3
W
4
W
1
W
2
W
3
W
4
W
1
W
2
W
3
1 Researc
h
Contrac
t
x
2 Pre
Survey
x x
3 Pilot
Study
X
4 Actual
Researc
h
x x
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5 Data
Collect
ion
x x x x
6 Analysi
s
x X
7 Report
making
X x
8 Discuss
ion/
Seminar
x X
9 Report
submiss
ion
X x x
Chapter IV
PRESENTATION, INTERPRETATION & ANALYSIS OF DATA
This chapter present the data gathered from sixty
(60) clients, with hypertension disease at Sawangan
community, Airmadidi.
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The main objective of the study was to determine
the outcomes of health education intervention on
knowledge, attitude and medical adherence among clients
with hypertension at Sawangan community, Airmadidi.
This chapter is divided into two parts. The first
part is description of the study participants’ socio-
demographic profile such as: age, sex, education
attainment and scores of knowledge, attitude and
medication adherence to age, gender and education
attainment. Part two shows the result outcomes
measures, such as the effect of health education to
knowledge, the effect of health education to attitude
and the relation between knowledge and attitude to
medical adherence.
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Part 1. Description of the Study Participants’s Socio-
Demographic Profile
Table 4.1 Demographic Characteristic of the Study
Participant
Characteristics Study Groupn %
Age < 50 12 2050-59 24 40≥ 60 24 40Total 60 100Sex Male 11 18.3Female 49 81.7Total 60 100Educational Attainment Elementary 11 18.3Junior High School 22 36.7Senior High School 22 36.7College 5 8.3Graduate Studies 0 0Total 60 100
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The study participants consisted of 60 clients
with essential hypertension disease, were used both on
pre and post intervention. Table 4.1 shows the
composition of the participants’ relative to various
socio-demographic variables. The following section
summarizes the socio-demographic variables and illness
variables.
Table 4.1 shows the distribution of the
participants’ population according to their age group.
Majority of the respondents (80 %) were between the age
period of 50-59 and more or equal to 60 years old. In
terms of participant’ ages, they were mostly in the
late adult stages. Old age is usually correlated with
blood pressure because as person ages, vascular changes
occurs. A gradual thickening within the tunica media of
large and medium-sized arteries occurs with age. This
is associated with an increase in the number and
density of collagen fibres, making the artery
increasingly rigid and less compliant (Alberto et al,
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2003). The vessels also display fracturing of the
elastic (elastin) components and often varying degrees
of calcification.
The respondents per group were sorted based on
gender differences. The sample consisted of males, 11
(18. 3 %) and females 49 (81. 7%). Most of the
respondents graduated from junior and senior high
school education levels 44 (73. 4 %), elementary school
11 (18. 3 %) and college 5 (8. 3 %). The level of
education would assists individuals in understanding
better the information given by the health care
providers.
Pre and post tests scores of knowledge, attitude
and medication adherence are displayed in the following
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Part I Table 4.2 Scores Differences before and afterKnowledge Test
POSTKNOWLEDGE Total
3.00 5.00 7.00 8.00 9.0010.00
PREKNOWLEDGE .00 0 0 0 0 0 2 2 1.00 0 0 0 0 0 1 1 2.00 0 0 0 1 1 7 9 3.00 0 0 0 0 0 10 10 4.00 0 0 0 0 0 7 7 5.00 1 1 1 1 1 5 10 6.00 0 0 0 1 2 4 7 7.00 0 0 1 1 1 7 10 8.00 0 0 0 1 0 1 2 9.00 0 0 0 0 0 1 1 10.0
0 0 0 0 0 1 0 1
Total 1 1 2 5 6 45 60
Table 4.2 showed the differences each scores
before and after the Knowledge test. Score on Knowledge
test were range from zero (0) to ten (10). On pre
Knowledge test there was one respondent received the
lowest score of one (1). However, on the post test
Knowledge there were ten (10) respondents received the
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lowest score of five (5). The highest score of ten (10)
on pre test Knowledge achieved by one (1) respondent
however, on post Knowledge test, there were 45 (forty-
five) respondents achieved scores of ten (10). The
cross tabulation calculation has showed an improvement
of respondents’ knowledges on hypertension.
Table 4.3 Scores Differences Before and After AttitudeTest
POSTATTITUDE Total 3.00 4.00 5.00
PREATTITUDE 2.00 0 4 1 5
3.00 3 20 6 29
4.00 0 20 2 22
5.00 0 2 2 4
Total 3 46 11 60
Table 4.3 displayed respondents’comparable scores
before and after Attitude test conducted. Attitude test
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scores ranged from 1 (one) to 5 (five). Scores of 2
(two) were achieved by 5 (five) respondents on pre test
result. However, on the post test result 3 (three)
respondents received the lowest score of 3 (three).
Based on ranking, score of 3 (three) on pretest result
showed 29 respondents followed by score of 4 (four)
with 22 respondents and 4 (four) respondents achieved
scores of 5 (five). As it compared with the post test
result, there were 3 (three) respondents received
scores of 3 (three); 46 respondents received score of 4
(four) followed by 11 (eleven) respondents achieved
score of 5 (five). The cross tabulation calculation has
showed respondents’ moderate improvement on attitude
about hypertension disease.
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Table 4.4 Scores Differences Before and AfterMedication Adherence Test
POSTACTIONTotal
1.00 2.00 3.00 4.00 5.00 6.00 7.008.00
PREACTION.00 1 0 0 0 0 0 0 0 1
1.00 1 0 2 0 0 1 2 6 12
2.00 0 0 0 1 1 0 2 3 7
3.00 0 2 0 1 0 1 1 5 10
4.00 1 0 0 0 1 1 3 5 11
5.00 0 0 0 0 3 0 2 3 8
6.00 0 0 0 0 0 0 0 7 7
7.00 0 0 0 0 0 0 1 2 3
8.00 0 0 0 0 0 0 0 1 1
Total 3 2 2 2 5 3 11 32 60
Table 4.4 showed comparable result of Medication
Adherence Test amongst the 60 (sixty) respondents. The
total scores of Medication Adherence Test are 8
(eight). As it showed in the table, on pre test the
lowest score of 0 (zero) has 1 (one) respondent as it
compared to post test result, none amongst the 60
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(sixty) respondents received score of 0 (zero). The
lowest score on post test was 1 (one) and it has 3
(three) respondents; the highest score of 8 (eight) has
1 (one) respondent on pre test as it compared to post
test result, there were 32 (thirty two) respondents
having the highest scores of 8 (eight). The table has
showed varied score’s improvement amongst the 60
(sixty) respondents on pre and post test result and the
scores’ variances tend to improved on the post test
score result.
Other cross tabulation scores of confounding
variables as it compare with the dependent variables
were showed at the appendix C.
Part II. The Outcome Measures
The following presentation shows the study outcome
measures: the effect of health education to knowledge,
the effect of health education to attitude and the
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relation between knowledge and attitude to medical
adherence.
The effect of health education to knowledge amongsthypertension client at Sawangan Health Community Center
The following diagram will answer the problem
statement 1 and hypothesis 1 of the research which
quest the effect of health education to knowledge among
hypertension client.
Table 4.5 shows the statistic result using paired
t test statistic tool in order to answer the problem
statement 1 and hypothesis 1.
Table 4.5 Mean Analysis Result on the effect of HealthEducation to Knowledge
Mean NStd.
DeviationStd. Error
Mean
PREKNOWLEDGE 4.5667 60 2.21219 .28559POSTKNOWLEDGE 9.4333 60 1.29362 .16701
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Table 4.6 Paired Sample t Test on the Effect of Knowledge Before and After Health Education
Paired Differences
MeanStd.
Deviation
Std.ErrorMean
95% ConfidenceInterval of
the Difference t
DFSig. (2-tailed
Lower Upper PREKNOWLEDGE – POSTKNOWLEDGE
-4.8667 2.77071 .35770 -
5.5824-
4.1509-
13.606 59 .000
A paired sample t-test was conducted to evaluate
the effect of intervention on respondents’ scores on
the Knowledge Test. There was a statistically
significant increase in Knowledge scores from pre
intervention (M= 4.6, SD= 2.2) to post intervention (M=
9.4, SD= 1.3), t = -13.6, p = 0.000 in favor of the
posttest. P value 0.000 less than .05 (two-tailed). The
Mean increase in Knowledge scores was -4.86 with 95%
confidence interval ranging from -5.58 to -4.15. The
eta squared statistic (.76) indicated a large effect
size. The effect size based on guidelines proposed by
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Cohen (1988) in Pallant (2007)
which, .01=small, .06=moderate, .14=large effect. It
rejects the Ho and suggests health education has an
effect to knowledge. This result was supported by Shi,
et al (2010) on their quasi-experimental study the
‘Effect of Health Education on farmer’s intention of
joining in the new rural cooperative medical system’.
Their research study had shown an increased of
knowledge level in two intervention counties by 29.0 %
and 37.8%. The study concluded health education was
effective and helpful in increasing farmer’s knowledge.
Based on data collection the respondents mostly having
chronic hypertensive disease with the duration of 1-4
years (28. 6%), within the span of time these
respondents assumed has hath long interaction in terms
of health education on hypertension and the use of
medication with health workers though the frequencies
of meeting are varied thus, the questions were
relatively familiar to the respondents. Aside of it, I
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did repetition on health education and discussed the
answer of each question items with the respondents. It
was unexpected result because the duration of
intervention was relatively short (two weeks) compare
to 2 years intervention health education program able
to increase level of knowledge though it was not
affected to the health behavior (Lindberga, Stahlea &
Rvdena, 1991). Other similar study also showed no
significant differences before and after health
education session toward mother’s knowledge within a
year of intervention (Yameen, 2005).
Table 4.7 Mean Analysis Result on the Effect of Health
Education to Attitude
Mean NStd.
Deviation
Std.ErrorMean
PREATTITUDE 3.3650 60 .68984 .08906 POSTATTITUDE 4.0917 60 .32275 .04167
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Paired Differences95% ConfidenceInterval of the
Difference
Mean
Std.Deviatio
nStd. Error
Lower Upper tDf
Sig.(2-
tailed)
PREATTITUDE –POSTATTITUDE
.72903 .09412 -.9150 -.538
3-7.721
59 .000
Table 4.8 Paired Sample t Test on the Effect of Attitude Before and After Health Education
A paired sample t-test was also conducted to
evaluate the effect of intervention toward respondents’
scores on Attitude Test. There was a statistically
significant increase in Attitude scores on pre test (M=
3.4, SD= 0.7) to post test (M= 4.1, SD= 0.3), t = -
7.72, p = 0.000 < .05 (two-tailed). The mean increase
in Attitude scores was .729 with a 95% confidence
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interval ranging from -.915 to -.538. The eta squared
statistic (.50) indicated a large effect size it
rejects the Ho and suggest health education has an
effect to attitude.
Similar finding was reported by Tsai, et al (2005)
on their evaluation to measure the effectiveness of
smoking prevention program on the perception of and
attitudes towards smoking in adolescents found out both
knowledge and attitudes in the experimental group
improved significantly (0.18> 0. 12, p = 0.039) after
2 (two) weeks intervention. This kind of positive
attitude given by the respondents perhaps related with
the content of the questions which mostly familiar and
have been emphasis by the health workers. The
respondents were open and receptive to the ‘right’
thing as to adhere to the regimen medication,
regardless of some respondents’ perceived
antihypertensive herbal medication less likely to give
side effect.
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Table 4.9 Analysis Regression test on the Efect of Knowledge to Medical Adherence
Model Summary
Model R R SquareAdjustedR Square
Std. Errorof theEstimate
1 .587(a) .345 .339 2.08338a. Predictors: (Constant), KNOWLEDGE
Coefficients (a)
Model
UnstandardizedCoefficients
Standardized
Coefficients t Sig.
BStd.Error Beta
(Constant) 1.582 .479 3.299 .001 KNOWLEDGE .495 .063 .587 7.880 .000a. Dependent Variable: ACTION
For the regression of Knowledge on Medication
adherence, r = .59 and r2= .34, therefore 34% of the
variance in knowledge can be accounted by knowing the
variance in medication adherence. There is 34% of the
information that need to make an accurate prediction.
The complement of r2 or 1- r2, reflects the propotion of
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variance that is not explained by the relationship
between X and Y (means, explained by other variables),
in this case 66%. Other variables which might
contribute to the prediction of medication adherence
could be the positive perception of the respondents to
the medication adherence concept, “older than 50 years,
were insured, a positive attitude toward
antihypertensive drugs...and consumed antihypertensive
drugs for more than 5 years with p = 0.05” (Hadi &
Gooran, 2004). Using knowledge as a predictor will
result in a reasonable but not thoroughly accurate,
estimate of medication adherence. Values of r square
are more meaningful for conceptualizing the extent of
an association between variables than values of r
alone. When strength of association is of interest, r
will be properly interpreted in this case r = .59
suggesting a large strength of relationship between
knowledge scores and medication adherence scores as
well to show there was a significant, positive
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correlation between knowledge and medication adherence
(ß = .59, p = .000 < .05); however, when Y is predicted
from X, r square provides a more meaningful description
of the relationship. R square will range 0.00 to 1.00.
Study which supported the positive correlation
between knowledge and medication adherence (Tsuboyoma,
et al 2005) found knowledge about hypertension showed a
positive correlation with diastolic blood pressure
(Spearman r = .298, p <.01). On the other hand, study
(Miller, et al 2001) found poor medication knowledge
after eight (8) weeks of regiment initiation was
associated with lower medication adherence (p = .3).
The value of Y= .495 X + 1.582, is obtained
through independent variable knowledge and constant as
an intercept. In other words, the prediction equation
is knowledge = .495 (medication adherence) + 1. 582,
informing that knowledge score is predicted to increase
.495 when the medication adherence score goes up by one
and is predicted to be 1. 582, when medication
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adherence score is zero. To test regression significacy
based on t resulted to 7.880 having a significant value
of 0.000. Therefore it concludes due to significant
value < α regression coefficient has a significant
meaning. The Normal P-P plot and Scatterplot of
dependent variable medication adherence are displayed
at appendices C.
Table 4.10 Analyses Regression on the Effect ofAttitude to Medical Adherence
Model Summary (b)
Model R R SquareAdjustedR Square
Std. Errorof theEstimate
1 .432(a) .187 .180 2.32085 a. Predictors: (Constant), NEWPPATTITUDE
b. Dependent Variable: action
Coefficients (a)
Model UnstandardizedCoefficients
StandardizedCoefficients t Sig.
BStd.Error Beta
(Constant) -.796 1.142 -.697 .487 NEWPPATTITUDE 1.549 .297 .432 5.208 .000
a. Dependent Variable: ACTION
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For the regression of Attitudes on Medication
adherence, r = .4 and r2= .18, therefore 18% of the
variance in attitude can be accounted by knowing the
variance in medication adherence. There is 18% of the
information that need to make an accurate prediction.
The complement of r2 or 1- r2, reflects the propotion of
variance that is not explained by the relationship
between X and Y (means, explained by other variables),
in this case 82%. Other variables which might
contribute to the prediction of medication adherence
could be the adequate knowledge of the respondents to
the medication adherence concept, “beliefs and positive
motivation” of the clients (Kocurek, 2009). Using
attitude as a predictor will result in a reasonable but
not thoroughly accurate, estimate of medication
adherence. Values of r square are more meaningful for
conceptualizing the extent of an association between
variables than values of r alone. When strength of
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association is of interest, r will be properly
interpreted in this case r = .4 suggesting a medium
strength of relationship between attitude scores and
medication adherence scores as well it showed there was
a significant, positive correlation between attitude
and medication adherence (ß = .4, p = .000 < .05);
however, when Y is predicted from X, r square provides
a more meaningful description of the relationship. R
square will range 0.00 to 1.00.
Study which supported the positive correlation
between attitude and medication adherence (Wu, et al
2007) found self reported adherence to medication had a
siginificant correlation with attitude scores (r = .30,
p = <.05) and knowledge scores (r = .25, p = <.05).
The value of Y= 1.966 X + -2.280, is obtained
through independent variable attitude and constant as
an intercept. In other words, the prediction equation
is attitude = 1.966 (medication adherence) + -2.280,
informing that attitude score is predicted to increase
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1.966 when the medication adherence score goes up by
one and is predicted to be -2.280, when medication
adherence score is zero.To test regression significacy
based on t result 6. 231 having a significant value of
0.000. Therefore it concludes due to significant value
< α regression coefficient has a significant meaning.
The Normal P-P plot and Scatterplot of dependent
variable medication adherence are displayed at
appendices C.
Table 4.11 One Way ANOVA of the Effect of HealthEducation on Knowledge on Age Variable
DescriptivesDIFKNOWLEDGE
N Mean
Std.Deviatio
nStd.Error
95% ConfidenceInterval for Mean
Minimum
Maximum
LowerBound
UpperBound
Less to50 yrs 12 4.3333 2.26969 .65520 2.8912 5.7754 1.00 8.00
50-59 yrs 24 4.2917 2.75806 .56299 3.1270 5.4563 .00 8.00
60 yrs-above 24 5.7083 2.89646 .59124 4.4853 6.9314 -2.00 10.00
Total 60 4.8667 2.77071 .35770 4.1509 5.5824 -2.00 10.00
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ANOVA
DIFKNOWLEDGE
Sum ofSquares Df
MeanSquare F Sig.
BetweenGroups 28.350 2 14.175 1.903 .158
Within Groups 424.583 57 7.449Total 452.933 59
A one-way between groups analysis of variance was
conducted to explore the impact of health education on
levels of knowledge on age. Subject were divided into
three groups according to their age (Group 1: 50 yrs or
less); Group 2: 50-59 yrs; Group 3: 60 yrs and above).
There were no statistically significant differences at
the p = .05 level in Knowledge scores for the three age
groups: F = 1.9, p = .16. In other words, there was no
significantly effect of health education to knowledge
when adjusted with age.The effect size, calculated
using eta squared, was .06 (moderate size effect). The
mean score for Group 1 (M = 4.33, SD = 2.26) was
significantly different from Group 3 (M = 5.71, SD =
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2.89). Group 2 (M = 4.29, SD = 2.76) differed
significantly from Group 3 however, did not differ
significantly from Group 1. Eventhough there were means
score differences among the age group the overall was
not significant. In other words, there were no
differences of health education intervention to the
age. Age less than 50 years or between 50-59 years or
more than 60 years will have a similar effect of the
intervention. Therefore, I can not assume that 60 years
or more were more knowledgeable compare to age period
of 50-59 years and vice versa. This might be due to
social and cultural factors. The effect size show a
moderate effect or moderate correlation between health
education intervention and age variables thus, it
suggest replicating of the study with larger sample to
increase the power of the test. Other studies (Solomon,
et al, 2003; Kadowaki, et al, 2005) found age did not
affect TB-related knowledge in tailoring up DOTS
(directly observed treatment short course) strategy in
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to the local norms. As well there was no significantly
different in the cessation rate after age adjustment
between health education and environmental changes
groups (p = 0. 189).
Table 4.12 Independent – Sample T Test of theEffect of Health Education to Knowledge on Gender
Group Statistics
GENDER N MeanStd.
Deviation
Std.ErrorMean
DIFKNWL Male 11 5.7273 2.28433 .68875
Female 49 4.6735 2.85327 .40761
Independent Samples Test
Levene'sTest forEquality
ofVariances t-test for Equality of Means
FSig. T Df
Sig.(2-tailed)
MeanDifference
Std.ErrorDifference
95% ConfidenceInterval of
the Difference Lower UpperDIFKNOWLEDGE
Equalvarianc
esassumed
1.980
.165
1.143 58 .258 1.053
8.9220
4-.7918
52.8994
6
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An independent – samples t-test was conducted to
know the effect of health education to Knowledge Scores
to gender (males and females). There were no
significant differences in scores for males (M = 5.
72, SD = 2. 28) and females, M = 4. 67, SD = 2. 85; t =
1. 14, p = .26 (two-tailed). The magnitude of the
differences in the means (mean difference = 1. 05, 95%
CI: -. 791 to 2. 736) was small (eta squared = .02).
In other words, there is a similar effect of health
education on both females and males. Other studies (Yin
et al., 2011; Selassie et al., 2003; Foster et al.,
2010) found no significant differences between genders
in terms of knowledge related subjects and learning
attitudes. It is assume as well that the quantity
sample is not equal between males and females adding
with a small size effect result, it is suggested to
replicate the study using larger sample to increase the
power of the test.
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Table 4.13 One Way ANOVA Test of theEffect of Health Education to Knowledge Considering
Education level Variable
Descriptives
DIFKNOWLEDGE
N MeanStd.
DeviationStd.Error
95% ConfidenceInterval for Mean
Minimum Maximum
LowerBound
UpperBound
Elementary 11 6.0000 2.04939 .61791 4.6232 7.3768 3.00 10.00
JuniorHS 22 5.1818 3.11121 .66331 3.8024 6.5613 -2.00 10.00
SeniorHS 22 3.9545 2.45875 .52421 2.8644 5.0447 -1.00 8.00
College 5 5.0000 3.39116 1.51658 .7893 9.2107 .00 8.00
Total 60 4.8667 2.77071 .35770 4.1509 5.5824 -2.00 10.00
ANOVA
DIFKNOWLEDGE
Sum ofSquares Df
MeanSquare F Sig.
BetweenGroups 34.706 3 11.569 1.549 .212
Within Groups 418.227 56 7.468Total 452.933 59
A one way between groups analysis of variance was
conducted to explore the effect of health education on
levels of knowledge on education attainment, as it
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measured by the Health Education intervention. Subjects
were divided into six groups (Group 1: no school; Group
2: elementary; Group 3: junior high school; Group 4:
senior high school; Group 5: college/university; Group
6: postgraduate studies). There was no statistically
difference at the p > .05 level in Knowledge scores for
the six education groups: F = 1.5, p = .21. Despite of
insignificant result, the actual difference in mean
scores between the groups was relatively large. Study
(Emtner, 2009) found that there were no significant
differences regarding patient education and knowledge
between group with or without further ER visits after
adjusting with education background, age and sex. The
effect size calculated using eta squared, was .08.
Meaning, there was moderate correlation between health
education interventions to education level. However, it
is suggested to replicate the study using larger sample
in order to increase the power of the test.
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Table 4.14 One Way ANOVA Test of theEffect of Health Education to Attitudes Considering Age
Variable
Descriptives
DIFATTITUDE
N MeanStd.
DeviationStd.Error
95% ConfidenceInterval for Mean
Minimum
Maximum
LowerBound
UpperBound
Less to 50 yrs 12 .8333 1.11464 .32177 .1251 1.5415 -1.00 3.00
50 to 59 yrs 24 .5833 .82970 .16936 .2330 .9337 -1.00 2.00
60 yrsto above 24 .7917 .72106 .14719 .4872 1.0961 .00 2.00
Total 60 .7167 .84556 .10916 .4982 .9351 -1.00 3.00
ANOVA
DIFATTITUDE
Sum ofSquares Df Mean Square F Sig.
Between Groups .725 2 .362 .498 .610Within Groups 41.458 57 .727
Total 42.183 59
A one way between-groups analysis of variance was
conducted to evaluate the effect of health education on
levels of attitudes on age, as measured by Health
Education intervention. Subjects were divided into
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three groups according to their age (Group 1: 50 yrs
and less; Group 2: 50-59 yrs; Group 3: 60 yrs and
above). There was no significant differences at the p >
.05 level in Attitude scores for the three age groups:
F (2, 57) = .49. Study (Nochajski et al., 2009) found
that there was no influence of age among gender in
showing negative attitudes toward older person. No
difference in terms of age and sex permissive attitude
toward sexual practices was also identified in
Egbochuku’s study (Egbochuku et al., 2008). Other study
conducted by Rahman et al., (2009) also found that
there were no significant association between usage of
herbal medicines during pregnancy and age. The actual
differences in mean scores between the groups were
quite small. The effect size, calculated using eta
squared (.02). In other words, the effect of health
education intervention was similar to all age groups.
It is suggested to replicate the study using larger
sample to increase the power of the test.
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Table 4.15 Independent – Sample T Test of theEffect of Health Education to Attitudes Considering
Gender Variable
Group Statistics
GENDER N MeanStd.
Deviation
Std.ErrorMean
DIFATTITUDE
Males 11 1.2727 .78625 .23706Females 49 .5918 .81441 .11634
Independent Samples Test
Levene'sTest for
Equality ofVariances t-test for Equality of Means
F Sig. T Df
Sig.(2-
tailed)
MeanDifference
Std.ErrorDifference
95%ConfidenceInterval of
theDifference
Lower UpperDIFATTITUDE
Equalvarianc
esassumed
.929 .339 2.521 58 .014 .680
9.2701
3.1401
81.2216
0
An independent – samples t-test was conducted to
know the effect of health education to Attitude Scores
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to gender (males and females). There were significant
differences in scores for males (M = 1. 27, SD =.79)
and females, M = .59, SD =.81; t = 2. 52, p = .014 <.05
(two-tailed) despite of magnitude of the differences in
the means (mean difference = .68, 95% CI: .140 to 1.
222) was small (eta squared = .01) which indicated a
small effect between variables. Study (Chung &
Phillips, 2002) found significant differences between
attitude toward physical education and leisure time
exercise both in gender and nationality where the males
had more positive attitudes toward physical education
than the females. Other study (Mirmiran & Azizi, 2010)
found as well that age, educational background and
gender are factors influencers to Knowledge, Attitude
and Practice (KAP) in regards to Nutrition.
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Table 4.16 One Way ANOVA Test of theEffect of Health Education to Attitudes Considering
Education level Variable
Descriptives
DIFATTITUDE
N MeanStd.
DeviationStd.Error
95% ConfidenceInterval for Mean
Minimum
Maximum
LowerBound
UpperBound
Elementary
11 .9091 .83121 .25062 .3507 1.4675 .00 2.00
Junior HS 22 .8182 .85280 .18182 .4401 1.1963 -1.00 2.00
Senior HS 22 .4545 .67098 .14305 .1570 .7520 -1.00 2.00
College 5 1.0000 1.41421 .63246 -.7560 2.7560 .00 3.00Total 6
0 .7167 .84556 .10916 .4982 .9351 -1.00 3.00
ANOVA
DIFATTITUDE
Sum ofSquares Df
MeanSquare F Sig.
BetweenGroups 2.547 3 .849 1.199 .318
Within Groups 39.636 56 .708Total 42.183 59
A one way between-groups analysis of variance was
conducted to explore the effect of health education on
levels of attitudes on education attainment, as
measured by Health Education intervention. Subjects
were divided into six groups according to their
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attainments (Group 1: no school; Group 2: elementary;
Group 3: junior high school; Group 4: senior high
school; Group 5: college/university; Group 6: post
graduate studies). There was no significant differences
at the p= .32 > .05 level in Attitude scores for the
six age groups: F = 1.2. Study by Rahman et al. (2009)
showed no significant association between user of
herbal medicine during pregnancy and education
background. The effect size, calculated using eta
squared, was .6 which indicate a moderate effect size
between variables. This is in other words the effect of
health education is similar to all education levels. It
is suggested to replicate the study with larger samples
in order to increase the test power.
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Chapter V
SUMMARY, CONCLUSIONS & RECOMMENDATIONS
This final chapter contains a brief summary of the
study, conclusion derived from the major findings and
recommendations based on the findings and conclusions.
Summary of the Study
The purpose of this study was to investigate the
effect of health education on knowledge and attitude on
Medication regimen adherence among hypertension clients
at Sawangan Village, Airmadidi Sub District.
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A quasi-experimental one group pretest and
posttest design was being
utilized in implementation of the treatment and
examining its effect using selected methods of
measuremement The target population was hypertensive
clients at Sawangan community health center; data
clients were taken from the health center registration
book. The study was taken on the first and third week
of December, 2010 on sixty (60) clients as the
respondents.
A quantitative, descriptive and inferential
research approaches were
adopted. The research study used purposive,
nonprobability sampling technique. Three parts of
instruments composes of Knowledge and self report were
validated to three medical experts (Appendix A); ten-
items of Attitude to medication adherence was reliable
(α= .84) and item’s validity significant at 0.01 (2-
tailed).
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Majority of the respondents was female (81.7%),
80% aged 50-59 and more or equal to 60 years old and
more than half (73. 4%) had been graduated from junior
and senior high school levels.
Highest score of 10 on Knowledge test were able to
achieved by more than half (45) of the respondents
after intervention given.
On the part of the attitude scores, more than half
(46) of respondents achieved the total score of 4 on
the post test as to compare to highest score of 5 by 11
(eleven) respondents on the pre test.
On the part of medication adherence scores, there
were 32 (thirty-two) respondents able to achieved the
highest scores of 8 (eight) after the intervention
given; whilst on the pre test result, 1 (one)
respondent able to achieved the highest scores of 8.
There was an effect of health education to
knowledge among the hypertensive clients as well as
there was an effect of health education to attitude
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FAKULTAS ILMU KEPERAWATAN UNIVERSITAS KLABAT
occurred among the hypertensive clients. Therefore
hypothesis 1 a), is rejected and hypothesis 1 b), is
rejected.
There was an effect of knowledge to medication
adherence behavior inspite of only 34% variable
knowledge contributes to medical adherence and the rest
variable (66%) contributes by other variables. It was
siginificant at 0.000 < α. Like wise with variable
attitude contributes 18% to the medication adherence
and the rest of other variables (92%) contributes to
the medical adherence behavior. It was significant at
0.000 less than 0. 05. Both hypotheses 2a) and 2b) were
rejected.
There was no effect of health education on
knowledge on age. There were no statistically
significant differences at the p = .05 level in
Knowledge scores for the three age groups: F = 1.9, p =
.16. The effect size, calculated using eta squared, was
.06. The mean score for Group 1 (M = 4.33, SD = 2.26)
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was significantly different from Group 3 (M = 5.71, SD
= 2.89). Group 2 (M = 4.29, SD = 2.76) differed
significantly from Group 3 however, did not differ
significantly from Group 1. Hence, hypotheses 3a) is
accepted
There was no effect of health education on
knowledge on gender. There were no significant
differences in scores for males (M = 5. 72, SD = 2.
28) and females, M = 4. 67, SD = 2. 85; t (58) = 1. 14,
p = .26 (two-tailed). The magnitude of the differences
in the means (mean difference = 1. 05, 95% CI: -. 791
to 2. 736) was small (eta squared = .02). Therefore,
hypotheses 3a) is accepted.
There was no effect of health education on
knowledge on education level. There was no
statistically difference at the p > .05 level in
Knowledge scores for the six education groups: F = 1.5,
p = .21. The effect size calculated using eta squared,
was .08. Hypotheses 3a) is accepted.
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There was no effect of health education on
attitudes on age.There was no significant differences
at the p > .05 level in Attitude scores for the three
age groups: F = .49. The effect size, calculated using
eta squared, was .02. Hypotheses 3b) is accepted.
There was an effect of health education on
attitudes on gender. There were significant differences
in scores for males (M = 1. 27, SD =.79) and females,
M = .59, SD =.81; t = 2. 52, p = .014<.05 (two-tailed).
The magnitude of the differences in the means (mean
difference = .68, 95% CI: .140 to 1. 222) eta squared =
.01. Hypotheses 3b) is rejected.
There was no effect of health education on
attitudes on education level. There was no significant
difference at the p > .05 level in Attitude scores for
the six groups: F = 1.2. The effect size, calculated
using eta squared, was 06. Hypotheses 3b) is accepted.
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Conclusions
There was an effect to the knowledge of
respondents before and after the health education
given. This could be happened amongst clients having
acute and chronic hypertension. They had received
information in regards to the disease pathophysiology
from the medical doctors and nurses. However, the part
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of attitude gives an effect before and after the health
education treatment. This could explain that the
respondents have a positive attitude to the medical
adherence.
The effect of knowledge and attitude to self-
report medical adherence behavior were both
significant. Meaning the respondents was aware and
positive in taking regular medication.
The effect of health education to knowledge was
not significant upon considering to three confounding
variables: gender, age and education background. This
could explain that there is no difference between
female and male, age variation and level of education
attainment in knowledge of hypertension disease.
Likewise in part of attitude, there was no effect to
the age and education levels in exception to gender.
This explains that there is no difference preference
between ages in medical adherence like wise with the
education background. Elementary school graduate will
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have a similar attitude about medical adherence with
the high school graduates and vice versa. On the other
hand gender was influenced by the treatment. Variable
males differed significantly from variable females.
These differences were assumed due to different and
vary perspective in valuing medication adherence
concept.
In the relation with the theoretical framework,
this study presented findings within the parameters of
a well articulated analytical framework, the Health
Belief Model by Pender.
The Health Belief Model is one of the most widely
used practices to understanding individual health
behaviors. It is used in this study because their
component reflects the goal of health behavior and in
this context it is apply to knowledge, attitude and
adherence to medication.
The empirical generalization of the theory was
seen in the effect between knowledge, attitude and
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medication adherence. However, this was not affected or
influenced the mediating variable of age, gender and
educational background. This could be assumed due to
high perceived benefits of action which is the
compliance in taking consistently of the medicine or
could be due to interpersonal influences, norms,
supports, models and situational influences faced by
the respondents.
Recommendations
Based on the research result the following
recommendations are proposed:
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To the Health Community Center
The health education given to the clients
hypertensive treatment should be standardized and
include all the topics needed to empower clients with
knowledge.
Health workers, professionals and non-professional
should be well versed in the principles of adult
learning.
Health education should be given as soon as the
client is diagnosed and should be on going so that the
clients understand their condition and treatment.
Awareness campaigns through a multi-sectoral
approach including schools, media and churches should
be utilized and involved disseminating information. If
the community is informed about hypertension as a
disease, they might provide better support and
motivation to the hypertension clients.
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FAKULTAS ILMU KEPERAWATAN UNIVERSITAS KLABAT
To the Education Institute
To the education institute, especially to the
Nursing Faculty of the Klabat University, the research
result would be useful as one of the supporting
research paper to the community training services.
The research result could be published as one of
the scientific article which will add the Nursing
department’s credibility.
To the Science Development
The research result could be possible use in the
future research studies. The researcher recommend to
replicate the study with larger sample size and/or
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FAKULTAS ILMU KEPERAWATAN UNIVERSITAS KLABAT
widening the scope of field such as to sub district
level and/or to add components of interpersonal
influences and situational influences, self efficacy,
the perception in antihypertensive herbal usage,
motivation, perception of barriers to medication
taking. Component of income level may be added to the
confounding variable as to observe the effect toward
medication adherences.
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The effect of Health Education on Knowledge
and Attitude on Medication Regimen Adherence Among
Hypertension clients at Sawangan Village, Airmadidi
sub district
Presented to Nursing Department of Nursing Faculties
UNKLAB Airmadidi
In Partial Fulfillment of the Requirement for the
Degree
Of Bachelor Science in Nursing (BSN)
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By
Jedeth J. Mamora
NIM: 08710005
0 1
1
Approval Sheet for Proposal Defense
The heading of the proposal is” The effect of
Health Education on Knowledge and Attitude on
Medication Adherence Among Hypertension Clients at
Sawangan Village, Airmadidi Subdistrict”
It was submitted on ____ (date) _______ (month)
_________ (year) by:
Jedeth Mamora (NIM: 08710005)
In partial fulfillment for the degree of BSN and is
ready for panel evaluation
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Djoko Sutopo, MAN
_________________
Health Advisor
List of Tables
Table
Page
Table 3.1 – Time calendar
Table 4.1 – Demographic Characteristic of the Study
Participant
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Table 4.2 – Scores Differences Before and After
Knowledge Test
Table 4.3 – Scores Differences Before and After
Attitude Test
Table 4.4 – Scores Differences Before and After Medication Adherence Test
Table 4.5 – Mean Analysis result the effect of health
education to knowledge
Table 4.6 – Paired T Test on the Effect of Knowledge
before and after
Health Education
Table 4.7 – Mean Analysis Result Before and After Health Education to Attitude
Table 4.8 – Paired T Test on the Effect of Attitude Before and After Health
Education
Table 4.9 – Analysis Regression test on the Efect of Knowledge to Medical
AdherenceTable 4.10 – Analyses Regression on the Effect of Attitude to Medical Adherence
Table 4.11 – One way ANOVA of the Effect of Health Education on Knowledge
Considering Age Variable
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Table 4.12 – Independent Sample T Test of the Effect ofHealth Education on
Knowledge Considering Gender Variable
Table 4.13 – One way ANOVA of the Effect of Health Education on Knowledge
Considering Education Attainment Variable
Table 4.14 – One way ANOVA of the Effect of Health Education on Attitudes
Considering Age Variable
Table 4.15 – Independent Sample T Test of the Effect ofHealth Education on
Attitudes Considering Gender Variable
Table 4.16 – One way ANOVA of the Effect of Health Education on Attitudes
Considering Education Attainment Variable
List of Figures
Figure
Page
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List of Appendices
Appendix Page