The sisterhood method of estimating maternal mortality : a study in Matlab, Bangladesh
Abstract
The thesis is about ways to improve the technique of
maternal mortality estimation known as the "sisterhood
method', which entails questioning respondents on the
circumstances of death for any sister who may have died.
From the records of maternal deaths that occurred during
1976-90 in the Matlab Demographic Surveillance System
(DSS) area, a field station of the International Centre
for Diarrhoeal Disease Research, Bangladesh (ICDDR,B), a
list was prepared of deceased women's surviving brothers
and sisters, aged 15 years and over, born to the same
mother. One adult brother or sister of each of the
deceased women was interviewed and asked whether he or
she had a sister whose death was due to pregnancy,
childbirth or in the 90 days after childbirth.
Information on maternity-related deaths obtained in the
survey was then compared with the information recorded
in the DSS.
Results suggest that in places similar to Matlab the
sisterhood method will produce negative bias in
estimates of maternal mortality mainly through
misreporting of induced abortion-related deaths,
particularly those associated with premarital
conceptions. The analysis demonstrates that the problem
giving rise to most of this negative bias is not with
the method but with the sociocultural background of respondents, which encourages them to hide pregnancyrelated
deaths to never-married women. These findings
highlight the need for more research into ways of asking
questions about pregnancy status of sisters,
particularly the never-married sisters, who have died.
This study not only found out that the sisterhood
estimate of maternal mortality will contain a negative
bias but also offered recommendations to improve
reporting in future sisterhood surveys by identifying
some important determinants of accurate reporting of
maternal deaths. It then explored the possibilities for
extending the sisterhood method. The main question asked
in this regard was whether causes of maternal deaths
could be studied using this method. It is concluded that
though cause-of-death information obtained by the method
will always be subject to some error, it can provide an
indication of an overall distribution of causes of
maternal deaths which can be of value to public health,
particularly for the planning of programs aimed at
reducing maternal mortality and for evaluation of such
programs over time.
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