MCH Group M&E Work Plan

MCH group M&E Work Plan © [Haihuwa Lafiya Foundation and 2011] Page 1 of 27

Haihuwa Lafiya Foundation

[September 19, 2011 – Oct 18, 2012]

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Version: First

Date of Release: September 29, 2011

MCH group M&E Work Plan © Haihuwa Lafiya Foundation, 2011 Page 2 of 27

Table of Contents

1. Introduction .............................................................................................................................................. 4

1.1. Vision and Mission of Haihuwa Lafiya Foundation ............................................................................. 4

1.2. Background / Context Information for Haihuwa Lafiya Foundation .................................................... 4

1.3. [project name] and Funding Mechanism ............................................................................................. 6

1.4. Purpose of the Monitoring & Evaluation Work Plan ............................................................................ 6

1.5. Monitoring & Evaluation Team ............................................................................................................ 7

1.6. Audience Analysis ............................................................................................................................... 7

2. Frameworks / Models [organizational / project level] ............................................................................. 12

2.1. Conceptual Framework ..................................................................................................................... 12

2.2. Logic Model ....................................................................................................................................... 13

2.3. Results Framework ........................................................................................................................... 14

2.4. Results Framework Hypothesis .......................................................... Error! Bookmark not defined.

3. [project x] Implementation Plan ............................................................................................................. 15

4. [project x] Indicator Information Sheets ................................................................................................. 17

5. Evaluation Plan ...................................................................................................................................... 22

6. Data Quality Plan ................................................................................................................................... 23


Acronyms

Acronym Explanation


1. Introduction

1.1. Vision and Mission of Haihuwa Lafiya Foundation

The vision of Haihuwa Lafiya Foundation is to be the leading organization in the protection and

improvement of the wellbeing of women, infants and children in Zamfara state, with emphasis on the health

status of women of childbearing age.

The Mission of Haihuwa Lafiya Foundation is committed to ensuring the quality of health care for women,

infants, and children, and through working effectively with communities and other development partners.

The underlying values of Maternal & Child Health Services are:

1. Promotion of health facility based delivery.

2. Capacity building for health workforce.

3. Coordination and collaboration with local communities, other state agencies, organizations and

individuals concerned with the health and well-being of women, infants, and children.

1.2. Background / Context Information [for organisation X and project name]

INTRODUCTION

Proper care during pregnancy and delivery is important for the health of both the mother and the baby, and is

an indicator of the status of maternal and child health in the society. In the 2008 NDHS, women who had

given birth in the five years preceding the survey were asked a number of questions about maternal care.

For all live births in the past five years, mothers were asked what type of assistance they received at the time

of delivery. The health care that a mother receives during pregnancy, at the time of delivery, and soon after

delivery is important for the survival and well-being of both the mother and her child. The 2008 NDHS

obtained information on the extent to which women in Nigeria receive care during pregnancy, during delivery,

and in the period after the baby is born. These findings are important to policy- makers and programme

implementers in designing appropriate strategies and interventions to improve maternal and child health care

services. 1

According to the World Health Organisation (WHO), a skilled health worker is “an accredited health

professional—such as a midwife, doctor, or nurse—who has been educated and trained to proficiency in the

skills needed to manage normal (uncomplicated) pregnancies, childbirth and the immediate post-partum

period, and in the identification, management, and referral of complications in women and newborns” (WHO,

2008). WHO further states that traditional birth attendants (TBA), trained or untrained, are excluded from the

category of skilled health workers. In this context, the term TBA refers to traditional, independent (of the

health system), non-formally trained and community-based providers of care during pregnancy, childbirth,

and the postnatal period.

PLACE OF DELIVERY


Increasing the percentage of births delivered in health facilities is an important factor in reducing deaths

arising from the complications of pregnancy. The expectation is that if a complication arises during delivery, a

skilled health worker can manage the complication or refer the mother to the next level of care. Table 1

shows the percent distribution of all live births in the five years preceding the survey by place of delivery, and

the percentage of births delivered in a health facility, according to background characteristics. The factors

that have been described as determinants include mother’s age, birth order, residence and zone. Others

include mother’s education, antenatal care visits and wealth quintile.

By age, women 20-34 are most likely to deliver in a health facility (38 percent). Women having their first baby

are more likely than other women to deliver in a health facility; the proportion of births occurring in a facility

decreases sharply as birth order increases. Women in urban areas are more than twice as likely to deliver in

a health facility as their rural counterparts (60 percent compared with 25 percent). The North West has the

lowest proportion (8 percent). Women with higher levels of educational attainment are more likely to deliver

in a health facility than women with less education or no education. For example, women with more than

secondary education (90 percent) are nine times more likely to deliver in a health facility, compared with

women with no education (10 percent). The proportion of births occurring in a health facility increases

steadily with increasing wealth quintile. The majority of women who received no ANC services delivered at

home (96 percent).

ASSISTANCE DURING DELIVERY

In addition to place of birth, assistance during childbirth is an important variable influencing the birth outcome

and the health of the mother and infant. The skills and performance of the person providing assistance

during delivery determine whether complications are managed and hygienic practices are observed. Table 2

shows the percent distribution of live births in the five years preceding the survey by person providing

assistance at delivery and the percentage of births attended by a skilled health worker, according to

background characteristics. According to this table, 39 percent of births in the five years preceding the

survey were assisted by a skilled health worker (doctor, nurse, midwife, or auxiliary nurse/midwife); 9 percent

by a doctor; 25 percent by a nurse or midwife; and 5 percent by auxiliary nurse/midwife. In the absence of a

skilled health worker, a traditional birth attendant was the next most common person assisting a delivery (22

percent). Nineteen percent of births were assisted by a relative or other person, and an equal proportion of

births were attended by no one.

Women under age 20 (25 percent) are least likely to receive assistance from a skilled provider at delivery.

Older women (35-49 years) are most likely to deliver without any assistance (25 percent). The likelihood of a

skilled attendant delivering a birth decreases with increasing birth order, from 49 percent for first-order births

to 25 percent for births of order six or higher. One of the most striking differentials in assistance during

childbirth is by urban-rural residence. About seven in ten births to urban women are attended by a skilled

provider, compared with three in ten births to women in rural areas. Women in urban areas are most likely to

be assisted by a nurse or midwife (40 percent), while women in rural areas are most likely to be assisted by

a traditional birth attendant (25 percent). Thirty-three percent of births in the North West zones are assisted

by a traditional birth attendant. Women in North West are much more likely to deliver without any assistance


(44 percent) than are women in other zones (19 percent or lower). A mother’s level of education and wealth

status have a positive association with the likelihood that her delivery will be attended by a skilled provider.

PERCEIVED PROBLEMS IN ACCESSING HEALTH CARE

Many factors can prevent women from getting medical advice or treatment for themselves when they are

sick. Information on such factors is particularly important in understanding and addressing the barriers some

women face in seeking care during pregnancy and at the time of delivery. In the 2008 NDHS, women were

asked whether each of the following factors would be a big problem in seeking medical care: getting

permission to go for treatment, getting money for treatment, distance to health facility, transport cost, not

wanting to go alone, concern there may not be a female provider or any health provider, and concern that

drugs may not be available. Table 3 present information on the extent to which women reported that each of

these factors was a serious problem for them in accessing health care. Three-quarters of women reported

that they have at least one serious problem in accessing health care. The leading barrier to health care for

Nigerian women is getting money for treatment. Fifty-six percent of women said that getting money for

treatment was a serious problem in accessing health care. Problems getting permission to go for treatment

(14 percent) were less likely to be reported as a hindrance to seeking health care..

1.3. Haihuwa Lafiya Foundation and Funding Mechanism

Costs for the M&E plan and its implementation, including data collection, were covered under the overall

budget for project activities. Total funding for the first year, amounted to US$169,805.

1.4. Purpose of the Monitoring & Evaluation Work Plan

Monitoring and evaluation (M&E) is an important part of this important programme. It is very germane to

the success of this important public health programmes on maternal and child programmes. It will be

invaluable at all levels of this programme; from planning, implementation and evaluations.

This monitoring and evaluation plan is a comprehensive document showing all the activities outlined in

an M&E programme included in the parent programme or project.

This plan will assist the monitoring and evaluation of this programme of Increasing Women Delivered

by Skilled Birth Attendants in Zamfara State in North-West Nigeria.

The various reasons for M&E summarized below

Provides the structure to M&E

M&E plans explain its entire purpose and scope to all in an organization

It helps to organize, shows the various system within the M&E and how its various components

could be integrated.

It explains what is to be achieved, the people responsible for it, the purpose of M&E, when it will

be done and how it will be presented in a single document


The method of communicating the findings to all stakeholders.

1.5. Monitoring & Evaluation Team

A committed and multi-disciplinary team with experience in Monitoring and evaluation in maternal and child

health programs

1. Akomolafe Toyin a specialist in maternal and child health and will lead the group and provide the

guidance to the group, she is responsible for overseeing trainings, mobilization and awareness of all

stakeholders. She is responsible for the success of the whole process

2. Dr Adesina Olubukola is a specialist in obstetrics and Gynecology will head the training and

community mapping, she will also be charged with the responsibility of sensitizing the health facilities

as well as heading the dissemination team.

3. Dr Akanbiemu Adegoke Francis Community health specialist will oversee the completion of reports,

update and back check whether all the processes were done according to the set guidelines and

procedures

4. Mr Natukwatsa Amon Health and development Economics specialist will head the process of data

collection, data analysis and spearhead the process of report writing, he will be responsible for

software identification to be used in report writing

5. Mbwayo W Anne is a specialist in clinical psychology, training and report writing, she will work with

the person responsible for data analysis and reports and offer technical, she will liaise with the local

governments and state government to make ensure that stakeholders have their input in reports and

discussion.

6. Dr Falola Ezekiel Olajide tests and Measurement, its important to include and identify stakeholders

in the monitoring and evaluation process, he will mobilize all the identified stakeholders foe

discussion, update them, identify their roles and responsibilities, draw various modalities on how

they can fully participate in the process as well as ensuring that they are involved in all stages of

monitoring and evaluation.

1.6. Audience Analysis

The audiences in this programme are the stake holders who were involved right from the beginning of the

programme. The stake holders include:

1. The service providers who are in public, private or in the community and faith based

facilities.

2. Local government as represented by the chair person


3. State government as represented by the following commissioners- health, Women

Affairs and Justice.

4. Permanent secretary in the ministry of Health

5. Hospital Management Board

6. MCH Desk officer at the LGA

7. MCH Programme Manager at the state

8. Civil societies/Non governmental Organization

9. Implementing partner Monitoring and Evaluation Officer, and Programme Manager

10. Community members; religious leaders, opinion leaders, district heads, ward heads,

men, women, and children

The service providers

1. They will attend training

2. They will provide the delivery services to the women

3. Keep record

4. They will also be involved in advocacy and IEC distribution

They are likely to ask:

That they do not have enough skills- so what will happen to improve on these

The personnel are not enough, so where will they get the extra personnel

The facilities do not have enough delivery kits, where shall we get them from?

Some of the skilled personnel are deployed for in other duties, what will happen so that

they can manage to do the work?

What mechanism will be used to make the women come o deliver in the health facilities

as many pregnant women deliver at homes?

Local government as represented by the chair person

1. Facilitate whole process of the programme by providing an enabling environment

2. They can also employ staff.

The LGA is likely to ask:

What are our roles?

Are we supposed to provide money in any form?

The state


1. Employ staff

2. Will distribute in a rational manner the available staff.

3. Provide money.

Just as the LGA it is likely to ask

What their roles are

Are we supposed to provide money in any form?

Whom will you be reporting to?

We have shortage of personnel, where shall we get enough to send to the facilities?

Will it be possible to pass all the bills that are relevant, can you at least give some outline of

what you expect

Will this guarantee safe delivery of mothers?

Permanent secretary in the ministry of Health

1. Accounting officer for example in fund utelization

2. Will facilitate and spearhead the policy making and implementation

They would want to know:

How that affects the budget and how is it more important than the other areas of health like

Malaria, HIV and TB, so as to be given priority

Where will you get the curriculum that you will be using to upgrade the health workers and is

that not taught in their basic nursing course?

What is new that you will be imparting that the health providers do not have? If they have

this knowledge are you suggesting that the health providers are not doing their work well?

Have you consulted the current training curriculum so that you point out what is missing?

Commissioner of justice

1. Drafting laws dealing with MCH

2. Facilitate passing of MCH laws

Commissioner of women affairs

Advocate for the passing of laws MCH

Hospital Management Board

1. Ensure that amenities e available in the hospitals


2. Will ensure that those with delivery skills are doing the work and not being involved in unrelated

duties

Some of the skilled personnel are in the management of our health facilities, are you

suggesting that we make them work in the two areas?

You know that we have shortage of personnel in our health facilities, how will the

programme work and that is why we are not able to provide 24 hour skilled services?

Our facilities do not get enough materials and that is why we ask the mothers to come with

some essential delivery kits like gloves, how will the programme assist the facilities so that

the kits can be available all the time?

Much as we would like to provide skilled services, none of our current personnel has mid

wifely skills, how do you intend to cover this gap and we have been talking to the ministry of

health to send even one and they keep promising?

MCH Programme Manager at the state/ MCH Desk officer at the LGA

Will provide data on what is happening on the ground and also compile the incoming data for the programme

As the people in charge of the MCH how will the programme work in collaboration with us?

Why is the programme not covering the whole state?

What form of reporting will be done to us will you be having new forms or just the ones that

are in use?

There are other NGOs working almost on the same in the area, why don’t you combine, or

how different are you from them?

How will you convince the mothers to come to the clinics and even deliver in the facilities, as

we have tried before and the culture here is that mothers should deliver alone as a sign of

being a woman? In fact some of the reasons why many women do not come to deliver in our

facilities is because of that myth and hence the funding is neglected and money diverted to

other areas for example HIV.

Civil societies/Non governmental Organization

1. They will mobilize the community so that there can be support for the mothers to deliver in the

health facilities

2. They will also push the government to pass laws affecting MCH

They will want to know:

How will the programme deal with stigma associated with delivery in health facilities?


How will the community elders be convinced that it is important that women deliver in the

hospitals?

The government has been charging some money and many of the women do not have the

money to deliver in hospitals, let alone buying the kits they are told to carry by the health

facilities. So how will the programme address this issue?

Implementing partner Monitoring and Evaluation Officer, and Programme Manager

What are your suggestions?

If all the issues that you have raised are addressed, can we go ahead and plan for the

programme to start and monitor the progress?


2. Frameworks / Models [organizational / project level]

2.1. Conceptual Framework

Conceptual FrameworkReasons why women in Zamfara State deliver at

homeIndividual Characteristics

Community characteristics

Organizational Characteristics

•Poverty •Literacy level

•Age

•Culture of Shame•Religion •Tradition

•Gender disparity

•Poor political commitment

•Lack of skilled personnel

Increased Maternal

morbidity or mortality

Delivery without

SBA

Poor service utilization

Unavailability of quality services

with skilled birth attendants (SBA)


2.2. Logic Model

Logic Model

Inputs

• Materials

• Money

• Training curriculum

• Personnel

Activities

• Advocacy

• Mobilization & sensitization

• Training of health workers

• Supply kits & equipments purchased

• Develop IEC materials

Outputs

• No of health workers trained

• No of delivery kits provided

• No of IEC materials distributed

• No of sensitization programs organised

• No of advocacy visits conducted

Outcome

- Increased knowledge &

attitude among women

- Increased % of women

delivering by SBA

- Improved community

attitude towards

delivery by SBA

- Improved political will

Impact

Reduction in

maternal morbidity

and mortality


2.3. Results Framework

Table 2.1:

Result FrameworkGoal: Reducing maternal morbidity and mortality

IR1: Increased demand for services

IR2: Health System strengthening

SO: Doubling the % annually of women delivered by skilled birth attendants in Zamfara over a 5 year period

IR1.1: Increased knowledge among women

IR2.1: Trained personnel

IR1.3: Improved family and community support for

pregnant women

IR1.2: Women empowerment

IR2.2: Rational distribution of personnel

IR2.3: Rational distribution of well equipped facilities


3. Implementation Plan

[project x] Implementation Plan: name of organisation

Grant Goal– Reducing Maternal Mortality And Morbidity

Project Objective #1 – increased demand for services

Key Activities Target Beneficiaries Time Frame Person / Partner

Responsible

Results Anticipated (Target

input / output)

Budget Comments

Start

date

End date

Conduct

advocacy visits

Women and the

community.

Oct 2011 Oct 2012 Community health worker.

Implementing partner

(representative)

Improved community support for

delivery by skilled birth

attendants.

Distribution of

culturally

acceptable IEC

materials.

Women and the

community.

Oct 2011 Oct 2013 Community health worker. Improved knowledge of women

about benefits of delivery by

skilled birth attendants.

Mobilization and

sensitization by

community health

workers

Women and the

community.

Oct 2011 Oct 2012 Community health worker.

Improved knowledge of women

about benefits of delivery by

skilled birth attendants.

[project x] Implementation Plan: name of organisation

Grant Goal – Reducing Maternal Mortality And Morbidity

Project Objective #2 – health system strengthening

Key Activities Target Time Frame Person / Partner Results Anticipated Budget Comments


Beneficiaries Start

date

End

date

Responsible (Target input / output)

Training of

health workers.

Care providers State ministry of health.

Implementing partner.

Increased no of skilled birth

attendants available.

Procurement

and supply of

kits and

equipment.

Facility clients State ministry of health. Delivery kits available for

service provision.


4. [project x] Indicator Information Sheets

Indicator Protocol Reference Sheet Number: I

Name of Indicator: Number of Government policies enacted by Government on MCH

Result to Which Indicator Responds: Health system strengthened

Level of Indicator: Input

Description

Definition: The number of policies formulated and adopted (passed into law) on MCH in the last two years

Unit of Measure: Numbers

Disaggregated by: State Government

Justification and Management Utility: The formulation and ratification of laws on MCH provide an enabling environment for women to be attended by skilled birth attendants.

Plan for Data Acquisition

Data Collection Method: Inspection of Government’s records

Data Source: Parliament, ministry of health and local government

Frequency and Timing of Data Acquisition: Data collection will biannual

Estimated Cost of Data Acquisition: Cost included in the contract with implementing partners.

Individual Responsible: Commissioner of Justice

Location of Data Storage: Commissioner of Justice and State ministry of health

Data Quality Issues

Known Data Limitations and Significance: Not Applicable

Actions Taken or Planned to Address this Limitation: Not Applicable

Internal Data Quality Assessments: Not Applicable

Plan for Data Analysis, Review & Reporting

Data Analysis: Not Applicable

Presentation of Data: Not Applicable

Review of Data: Not Applicable

Reporting of Data: Not Applicable

Baselines: -

Year Target Actual Cumulative Net Change Notes

2013 1 1 -

2014 2 2 3

Performance Indicator Values

Year Target Actual Notes

This Sheet Last Updated On:

September 2011



Name of Indicator: IEC Distribution

Result to Which Indicator Responds: Increasing demand for services


Description

Definition: Number of IEC materials distributed during the year


Disaggregated by: LGA and ward facilities

Justification and Management Utility: Providing information is one of the means of favourable behavioural change


Data Collection Method: Community Based worker’s record

Data Source: Communit worker’s record

Frequency and Timing of Data Acquisition: Annually


Individual Responsible: State Government (Program Manager/Directro of statistics)

Location of Data Storage: State ministry of health and LGA

Data Quality Issues









Baselines: - -


2012 20% 15% -

2013 40% 60%




September 2011



Name of Indicator: Community outreach effort

Result to Which Indicator Responds: Increasing demand for services


Description

Definition: Number of persons reached during community mobilization by community health workers in a year


Disaggregated by: Senatorial district, LGA, ward and community

Justification and Management Utility: Members of the community participated in decision in making and contribute to health seeking practices of pregnant women.


Data Collection Method: Renew of community health workers records

Data Source: Health worker’s record

Frequency and Timing of Data Acquisition: Monthly


Individual Responsible: State Government (Program manager/Director of statistics)

Location of Data Storage: SMOH and each LGA

Data Quality Issues









Baselines: -


2013 2012 20% -

2014 2013 30% 50%




September 2011



Name of Indicator: Number of personnel trained to provide skilled care

Result to Which Indicator Responds: Health system strengthened


Description

Definition: Capacity building: Numbers of personnel trained to provide skilled care during delivery in a quarter


Disaggregated by: Senatorial Districts, by LGA’s, Ward and Community groups

Justification and Management Utility: Attendants by skilled birth attendants at birth provide better health outcomes for mother and child


Data Collection Method: Review of training records and sessions

Data Source: Attendance lists, curriculum

Frequency and Timing of Data Acquisition: Annual


Individual Responsible: State Government

Location of Data Storage: Hard and Soft copies by LGA and Senatorial Districts

Data Quality Issues









Baselines: -


2012 20% 15% -

20143 30% 50%




September 2011



Name of Indicator: Percentage of Health facilities providing 24 hours basic obstetric care

Result to Which Indicator Responds: Strengthening health system


Description

Definition: Proportion of health centres providing 24 hours basic obstetrics care services by skilled birth attendants

Unit of Measure: Proportion

Disaggregated by: Political wards, LGA, Senatorial district

Justification and Management Utility: Skilled attendants at delivery contribute to better health outcome to the mother and child


Data Collection Method: Records and surveys from health facilities, HMB and SMOH

Data Source: Health facilities, HMB and SMOH

Frequency and Timing of Data Acquisition: Annually


Individual Responsible: Program Manager

Location of Data Storage: LGA and SMOH

Data Quality Issues









Baselines: -


2013 10% 15% -

2014 20% 30%




September 2011


5. Evaluation Plan

6.

Evaluation study designObjective Indicator Source of

informationCollection method

Target group

1. To determine the proportion of pregnant women delivered by skilled birth attendants in Zamfara by 2016

% of women delivered by skilled birth attendants

Communitysurvey,Facility survey

survey, questionnaire,focus group discussion,And facility records

Relevant officials of SMOH and LGA

1. Normative evaluation2. Evaluation study design- pre and post intervention


Data Quality Plan

As part of the construction of the indictor information sheets you will have noted some data

quality issues. You need to construct a data quality plan, which clearly identifies for the

project as a whole how you intend to manage your data quality risks.

1. Why do I need a Data Quality Plan?

It is essential that any data that is being collected and reported be of the best possible

quality. This is due to decisions, related to the effectiveness and efficiency of any project,

being based on the data collected during monitoring and evaluation. In order to ensure

data quality and to avoid unnecessary and costly data repairs a Data Quality Plan (DQP) is

constructed in support of the Monitoring and Evaluation Plan (MEP) and in line with the

Indicator Information Sheets (IIS). The DQP forms the basis for ensuring that the five

critical elements of data quality, namely: validity, reliability, timeliness, precision and

integrity, are given due regard during the planning for monitoring and evaluation and

activity rollout. The DQP is an essential record of how the project managed its data

quality issues and as such is an excellent source of information for the Auditor during a

Data Quality Audit (DQA).

2. What is the significance of the ‘Items’ in column A?

The items listed in column A are broadly related to the Indictor Information Sheets but

contextualised to address specific data quality issues that must be considered at

operational level when planning the monitoring and evaluation activities.

3. What ‘Explanations’ are required in column B?

This is where the implementing partner explains how the requirements for data quality are

realised operationally. For example: data quality, in terms of validity, is always dependent

on the partner having a specific definition for the indicator they are reporting on.

Although the indicator has a definition in the IIS it is important for the partner to explain

the definition in terms of their program and hence what data is included or excluded

during data collection in order for them to prove validity.


4. What is meant by ‘Source / Records’ in column C?

All implementing partners must be able to prove, during a DQA, that they have a data

quality management system, which enables them to report data that is accurate, valid and

reliable. In order to save the implementing partner and the auditor time it is always a

good idea to list the ready sources of evidence / records which would demonstrate the

information given in the DQP. This could be a list of document types, or record numbers,

or references to academic works, or even a reference to a filing location etc.

5. How and why do I do a ‘Risk Type’ analysis as required in column D?

All data has an associated quality risk and sometimes the cost of managing the risk

outweighs the additional benefit to be gained from improving the data quality. The use of

a risk matrix enables the implementing partner to establish those elements within the data

management system, which pose the greatest data quality risk so that the appropriate

controls can be put in place to minimise the impact of a risk being realised in practice.

Use the matrix given below to establish the data risk. Identify the probable frequency

with which an error in the data could arise and assign the appropriate value. Identify how

serious the error would be in terms of the overall effect on the quality of the data and

assign an appropriate value. Multiply the two values together to get the risk score.

Review the score against the risk analysis table below and take the appropriate actions.

Risk Matrix

Overall Effect on

Data Quality

Probability of Error Occurring

(4) - Constantly (3) - Frequently (2) - Occasionally (1) - Unlikely

(4) - Catastrophic 16 12 8 4

(3) – Critical 12 9 6 3

(2) - Marginal 8 6 4 2

(1) - Negligible 4 3 2 1


Risk Analysis Table

Risk Score Risk Type Remedial Action

9 – 16 High Risk Establish contingency plan to reduce risk, verify and validate prior to each reporting episode, maintain strict audit trail.

4 – 8 Medium Risk Establish contingency plan to reduce risk, verify and validate prior to annual return,

maintain strict audit trail.

1 – 3 Low Risk No immediate action required; risk could be managed through normal internal audit processes.

6. Where can I get more information to help me understand Data Quality?

ADS Chapter 203 – Assessing and Learning [http://www.usaid.gov/pubs/ads/200/]

TIPS 12: Guidelines for Indicator and Data Quality [http://www.dec.org/usaid eval/#004]


Data Quality Plan Table XX of XX

A. ITEM B. EXPLANATION C. SOURCE /

RECORDS

D. RISK

TYPE

1. Desired Outcome

Indicator:

2. Measure of Validity

Unit of measure:

Operational

definition:

Definitional

inclusions:

Definitional

exclusions:

Definitional bias:

Desegregations:

Operational

justification:

Source of data:

3. Measure of Reliability

Collection

methodology:

Collection

instrumentation:

Sampling

frameworks:

Collection personnel:

Collection bias:

Analysis

methodology:

Arithmetic

manipulations:

4. Measure of Timeliness

Frequency of

collection:

Reporting frequency:

Collection: Collation:

Reporting time lags:


A. ITEM B. EXPLANATION C. SOURCE /

RECORDS

D. RISK

TYPE

5. Measure of Precision

Source error:

Instrument error:

Sampling error:

Transcription errors:

Manipulation errors:

Total margin of

error:

6. Measure of Integrity

Cost of collection:

Source integrity:

Collector integrity:

Anti-tampering

controls:

Data cleaning:

Hard copy storage:

Electronic storage:

Internal audit:

External audit:

MCH Group M&E Work Plan

Documents

haihuwa lafiya

traditional

indictor information

skilled birth

input description

skilled health

iec materials

annually estimated