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Utilization of Skilled Maternity Personnel in “Wa” Ethnic Group in Hopang Township, Northern Shan State, Myanmar Thinzar Wai M.B.,B.S, MHA Lara Jaskiewicz Ph.D School of Public, Nonprofit, and Health Administration
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Utilization of Skilled Maternity Personnel in “Wa” Ethnic ... · Utilization of Skilled Maternity Personnel in “Wa” Ethnic Group in Hopang Township, Northern Shan State, Myanmar

Apr 06, 2018

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Page 1: Utilization of Skilled Maternity Personnel in “Wa” Ethnic ... · Utilization of Skilled Maternity Personnel in “Wa” Ethnic Group in Hopang Township, Northern Shan State, Myanmar

Utilization of Skilled Maternity Personnel in “Wa” Ethnic Group in Hopang Township, Northern Shan State, Myanmar

Thinzar Wai M.B.,B.S, MHA

Lara Jaskiewicz Ph.D

School of Public, Nonprofit, and Health Administration

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Presenter Disclosures

There is no financial or commercial conflict of interest for this project.

Thinzar Wai

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Where is Myanmar (Burma)

located?

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MIMU: Myanmar States and Division overview map

Hopang

Study area

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Background

• Daily about 800 preventable maternal deaths

• Almost 99% occur in developing countries

• One third from South Asia

Millennium Development Goal 5: Reduction of maternal mortality ratio by three quarters between 1990 and 2015

• Myanmar (Burma)

• >50% of women give birth alone, with a family member, or with a traditional birth attendant

• Focus on Wa ethnic group in Hopang Township of Northern Shan State—hard to reach

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Determinants of Maternal Mortality

McCarthy J & Maine D (1992). A Framework for Analyzing the

Determinants of Maternal Mortality. Studies in Family Planning,

Vol. 23

• Socioeconomic status

• Culture

Distant determinants

• Healthcare status

• Reproductive status

• Access to healthcare services

• Healthcare behavior/ use of health services

• Unknown or unpredicted factors

Intermediatedeterminants • Pregnancy related

complications

• Death/Disability

Outcomes

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Maternal Deaths in Myanmar

520

380

300

230200

0

100

200

300

400

500

600

1990 1995 2000 2005 2010

Rat

e per

100,0

00 l

ive

bir

ths

MMR WHO Target

Data Source: WHO 2012

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Hypothesis

What are the sociodemographic characteristics and key variables that predict “Wa” ethnic group women’s choice of skilled vs. unskilled maternal healthcare providers?

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Methods

Study design

• Secondary analysis of a cross-sectional survey collected during 2008-2010

• Face-to-face interviews with women (>18years) who gave birth during previous two years (2006-2008) or close relatives of deceased mothers

Inclusion criteria:

• Mothers of ‘Wa’ ethnic who lived in the study area over two years

• Close family members of deceased mothers who met the pervious criterion

Exclusion criteria:

• Mothers who delivered outside the study area

• Mothers who transferred out of the study area during the study period

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Methods

Variables

• Dependent variables

• Utilization of skilled birth attendants during pregnancy and delivery

• Independent variables

• Socio-demographic factors

• Determinants

Statistical analysis

• Descriptive statistics

• Bivariate statistics (Chi-square)

• Logistic regression and Generalized Linear Models

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ResultsFrequency Table for Scio-demographic results

Variables Number (%) N= 358

Residential setting

Urban 161 (45%)

Rural 197 (55%)

Age

18-25 177 (49.4%)

26-35 143 (39.9%)

36-49 38 (10.6%)

Education

Illiterate 155 (43.3%)

Literate 203 (56.7%)

Religion

Buddhist 185 (51.7%)

Other 173 (48.3%)

Variables Number (%) N= 358

Occupation

Dependent (Housewife) 116 (32.4%)

Employed 242 (67.6%)

Household Size

1-3 44 (12.3%)

4-5 150 (41.9%)

>5 164 (45.8%)

Distance to nearest skilled personnel

< 1 mile 135 (37.7%)

>1 miles 223 (62.3%)

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Use of Skilled vs. Unskilled Attendants for Antenatal Care and Birth

No Antenatal Care26.0%

Skilled attendant73.3%

Unskilled attendant23.7%

Antenatal Care74.0%

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Reasons for Not Choosing SBA

3532

13

0

5

10

15

20

25

30

35

40

Cannot Afford Easy to deliver Low access to services

Percent

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Frequency of Indicators

34.3

68.2

0.8

84.2

23.5

65.7

31.2

99.2

15.9

76.5

0

10

20

30

40

50

60

70

80

90

100

Frequency of

ANC visits

TT immunization Can Read

Maternal Record?

Health problems

during pregnancy

Place of Birth

<4 v

isit

s

< 2

tim

es

≥2ti

me

s

Som

e

no

ne

≥4 v

isit

s

No

Oth

er

Ho

me

Percen

t

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Predictors of Use of Skilled Birth Attendant

• Distance to reach nearest healthcare personnel

• Utilization of Skilled Birth Attendant at Antenatal Care

• Education

• Place of birth

• Religion

• Occupation

• Health Problems during delivery

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Discussion

• Key factors for utilization of SBA

• Geographical barriers, clinical staffing, transportation and financial concerns can also prevent in assessing healthcare in rural areas of Myanmar (Kyaw Oo et al, 2012).

• Accessibility also depends on traditional beliefs, mutual coordination between healthcare workers and the community (Tarenkegn et al, 2014).

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Discussion

Three Delays Model

Delay in Decision to

Seeking Care

Delay in Reaching

CareDelay in

Receiving Adequate Healthcare

Thaddeus, S., & Maine, D. (1994). Too far to walk: Maternal

mortality in context. Social Science & Medicine, 38(8)

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Study Limitations

• Use of interpreters may have affected responses

• Recall bias of actions over the previous two years

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Conclusion

• Myanmar Ministry of Health needs to cooperate with NGOs and UNICEF to hit the MMR target

• Strategic planning is essential to increase resources targeting hardest to reach areas

• These findings in Hopang Township provide promising evidence to focus maternal services in other regions of Myanmar

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Acknowledgement

• Department of Medical Research Upper Myanmar, Pyin Oo Lwin

• Statistical Consultation Center at Grand Valley State University

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Questions?