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Improving survey data on pregnancy-related deaths in low and middle-income countries: a validation study in Senegal

Authors :
UCL - SSH/IACS - Institute of Analysis of Change in Contemporary and Historical Societies
Helleringer, Stéphane
Pison, Gilles
Masquelier, Bruno
Kanté, Almamy Malick
Douillot, Laetitia
Ndiaye, Cheikh Tidiane
Duthé, Géraldine
Sokhna, Cheikh
Delaunay, Valérie
UCL - SSH/IACS - Institute of Analysis of Change in Contemporary and Historical Societies
Helleringer, Stéphane
Pison, Gilles
Masquelier, Bruno
Kanté, Almamy Malick
Douillot, Laetitia
Ndiaye, Cheikh Tidiane
Duthé, Géraldine
Sokhna, Cheikh
Delaunay, Valérie
Source :
Tropical Medicine & International Health, Vol. 11, p. 1415-1423 (2015)
Publication Year :
2015

Abstract

Objective In low and middle-income countries (LMICs), siblings’ survival histories (SSH) are often used to estimate maternal mortality, but SSH data on causes of death at reproductive ages have seldom been validated. We compared the accuracy of two SSH instruments: the standard questionnaire used during the demographic and health surveys (DHS) and the siblings’ survival calendar (SSC), a new questionnaire designed to improve survey reports of deaths among women of reproductive ages. Methods We recruited 1,189 respondents in a SSH survey in Niakhar, Senegal. Mortality records from a health and demographic surveillance system (HDSS) constituted the reference dataset. Respondents were randomly assigned to an interview with the DHS or SSC questionnaires. 164 respondents had a sister who died at reproductive ages over the past 15 years before the survey according to the HDSS. Results The DHS questionnaire led to selective omissions of deaths: DHS respondents were significantly more likely to report their sister's death if she had died of pregnancy-related causes than if she had died of other causes (96.4% vs 70.9%, p<0.007). Among reported deaths, both questionnaires had high sensitivity (>90%) in recording pregnancy-related deaths. But the DHS questionnaire had significantly lower specificity than the SSC (79.5% vs. 95.0%, p=0.015). The DHS questionnaire overestimated the proportion of deaths due to pregnancy-related causes, whereas the SSC yielded unbiased estimates of this parameter. Conclusion Statistical models informed by SSH data collected using the DHS questionnaire might exaggerate maternal mortality in Senegal and similar settings. The SSC could permit better tracking progress towards the reduction of maternal mortality.

Details

Database :
OAIster
Journal :
Tropical Medicine & International Health, Vol. 11, p. 1415-1423 (2015)
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1130477729
Document Type :
Electronic Resource