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Country estimates of maternal mortality: an alternative model
1UNFPA Country Support Team for Latin America and the Caribbean, Mexico City, Mexico.
Statistics in Medicine
|December 18, 2001
Summary
This study revises maternal mortality estimates by using maternal mortality ratios (MMRs) instead of proportions maternal among deaths of females of reproductive age (PMDF). The new model provides more accurate country-level MMR estimates, despite similar global totals.
Area of Science:
- Global Health
- Demography
- Epidemiology
Background:
- Country-level maternal mortality estimates by WHO and UNICEF have faced controversy.
- Previous revisions using modified multivariate models did not resolve these controversies.
- Disagreements persist regarding the higher figures generated by the WHO/UNICEF multivariate modeling approach.
Purpose of the Study:
- To address the controversy surrounding WHO/UNICEF maternal mortality estimates.
- To propose and evaluate an alternative multivariate model using maternal mortality ratios (MMRs) as the dependent variable.
- To provide revised country-level maternal mortality estimates for 1995.
Main Methods:
- Developed an alternative multivariate model using MMR as the dependent variable.
- Incorporated age standardization for demographic and health surveys (DHS) direct sisterhood data.
- Compared the results of the new model with existing WHO/UNICEF estimates.
Main Results:
- The proposed model using MMR as the dependent variable demonstrated smaller root mean square relative errors.
- While global maternal death estimates were similar to WHO/UNICEF figures, significant country-level discrepancies were observed.
- The study highlights conceptual and practical disadvantages of using PMDF, including its dependence on non-maternal deaths.
Conclusions:
- Using MMR as the dependent variable in multivariate models is preferable to PMDF for estimating maternal mortality.
- The alternative model offers more reliable country-specific maternal mortality estimates.
- Further discussion is needed on optimally incorporating DHS direct sisterhood data into these models.
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