Quality of vital event data for infant mortality estimation in prospective, population-based studies: an analysis of secondary data from Asia, Africa, and Latin America
Introduction Infant and neonatal mortality estimates are typically derived from retrospective birth histories collected through surveys in countries with unreliable civil registration and vital statistics systems. Yet such data are subject to biases, including under-reporting of deaths and age misre...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2023
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/131400 |
| _version_ | 1855522199808507904 |
|---|---|
| author | Erchick, Daniel J. Subedi, Seema Verhulst, Andrea Guillot, Michel Adair, Linda S. Barros, Aluísio J. D. Huybregts, Lieven |
| author_browse | Adair, Linda S. Barros, Aluísio J. D. Erchick, Daniel J. Guillot, Michel Huybregts, Lieven Subedi, Seema Verhulst, Andrea |
| author_facet | Erchick, Daniel J. Subedi, Seema Verhulst, Andrea Guillot, Michel Adair, Linda S. Barros, Aluísio J. D. Huybregts, Lieven |
| author_sort | Erchick, Daniel J. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Introduction
Infant and neonatal mortality estimates are typically derived from retrospective birth histories collected through surveys in countries with unreliable civil registration and vital statistics systems. Yet such data are subject to biases, including under-reporting of deaths and age misreporting, which impact mortality estimates. Prospective population-based cohort studies are an underutilized data source for mortality estimation that may offer strengths that avoid biases.
Methods
We conducted a secondary analysis of data from the Child Health Epidemiology Reference Group, including 11 population-based pregnancy or birth cohort studies, to evaluate the appropriateness of vital event data for mortality estimation. Analyses were descriptive, summarizing study designs, populations, protocols, and internal checks to assess their impact on data quality. We calculated infant and neonatal morality rates and compared patterns with Demographic and Health Survey (DHS) data.
Results
Studies yielded 71,760 pregnant women and 85,095 live births. Specific field protocols, especially pregnancy enrollment, limited exclusion criteria, and frequent follow-up visits after delivery, led to higher birth outcome ascertainment and fewer missing deaths. Most studies had low follow-up loss in pregnancy and the first month with little evidence of date heaping. Among studies in Asia and Latin America, neonatal mortality rates (NMR) were similar to DHS, while several studies in Sub-Saharan Africa had lower NMRs than DHS. Infant mortality varied by study and region between sources.
Conclusions
Prospective, population-based cohort studies following rigorous protocols can yield high-quality vital event data to improve characterization of detailed mortality patterns of infants in low- and middle-income countries, especially in the early neonatal period where mortality risk is highest and changes rapidly. |
| format | Journal Article |
| id | CGSpace131400 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1314002025-12-08T09:54:28Z Quality of vital event data for infant mortality estimation in prospective, population-based studies: an analysis of secondary data from Asia, Africa, and Latin America Erchick, Daniel J. Subedi, Seema Verhulst, Andrea Guillot, Michel Adair, Linda S. Barros, Aluísio J. D. Huybregts, Lieven data data analysis infants mortality surveys Introduction Infant and neonatal mortality estimates are typically derived from retrospective birth histories collected through surveys in countries with unreliable civil registration and vital statistics systems. Yet such data are subject to biases, including under-reporting of deaths and age misreporting, which impact mortality estimates. Prospective population-based cohort studies are an underutilized data source for mortality estimation that may offer strengths that avoid biases. Methods We conducted a secondary analysis of data from the Child Health Epidemiology Reference Group, including 11 population-based pregnancy or birth cohort studies, to evaluate the appropriateness of vital event data for mortality estimation. Analyses were descriptive, summarizing study designs, populations, protocols, and internal checks to assess their impact on data quality. We calculated infant and neonatal morality rates and compared patterns with Demographic and Health Survey (DHS) data. Results Studies yielded 71,760 pregnant women and 85,095 live births. Specific field protocols, especially pregnancy enrollment, limited exclusion criteria, and frequent follow-up visits after delivery, led to higher birth outcome ascertainment and fewer missing deaths. Most studies had low follow-up loss in pregnancy and the first month with little evidence of date heaping. Among studies in Asia and Latin America, neonatal mortality rates (NMR) were similar to DHS, while several studies in Sub-Saharan Africa had lower NMRs than DHS. Infant mortality varied by study and region between sources. Conclusions Prospective, population-based cohort studies following rigorous protocols can yield high-quality vital event data to improve characterization of detailed mortality patterns of infants in low- and middle-income countries, especially in the early neonatal period where mortality risk is highest and changes rapidly. 2023 2023-08-04T20:55:58Z 2023-08-04T20:55:58Z Journal Article https://hdl.handle.net/10568/131400 en Open Access Springer Erchick, Daniel J.; Subedi, Seema; Verhulst, Andrea; Guillot, Michel; Adair, Linda S.; Huybregts, Lieven; et al. 2023. Quality of vital event data for infant mortality estimation in prospective, population-based studies: an analysis of secondary data from Asia, Africa, and Latin America. Population Health Metrics 21:10. https://doi.org/10.1186/s12963-023-00309-7 |
| spellingShingle | data data analysis infants mortality surveys Erchick, Daniel J. Subedi, Seema Verhulst, Andrea Guillot, Michel Adair, Linda S. Barros, Aluísio J. D. Huybregts, Lieven Quality of vital event data for infant mortality estimation in prospective, population-based studies: an analysis of secondary data from Asia, Africa, and Latin America |
| title | Quality of vital event data for infant mortality estimation in prospective, population-based studies: an analysis of secondary data from Asia, Africa, and Latin America |
| title_full | Quality of vital event data for infant mortality estimation in prospective, population-based studies: an analysis of secondary data from Asia, Africa, and Latin America |
| title_fullStr | Quality of vital event data for infant mortality estimation in prospective, population-based studies: an analysis of secondary data from Asia, Africa, and Latin America |
| title_full_unstemmed | Quality of vital event data for infant mortality estimation in prospective, population-based studies: an analysis of secondary data from Asia, Africa, and Latin America |
| title_short | Quality of vital event data for infant mortality estimation in prospective, population-based studies: an analysis of secondary data from Asia, Africa, and Latin America |
| title_sort | quality of vital event data for infant mortality estimation in prospective population based studies an analysis of secondary data from asia africa and latin america |
| topic | data data analysis infants mortality surveys |
| url | https://hdl.handle.net/10568/131400 |
| work_keys_str_mv | AT erchickdanielj qualityofvitaleventdataforinfantmortalityestimationinprospectivepopulationbasedstudiesananalysisofsecondarydatafromasiaafricaandlatinamerica AT subediseema qualityofvitaleventdataforinfantmortalityestimationinprospectivepopulationbasedstudiesananalysisofsecondarydatafromasiaafricaandlatinamerica AT verhulstandrea qualityofvitaleventdataforinfantmortalityestimationinprospectivepopulationbasedstudiesananalysisofsecondarydatafromasiaafricaandlatinamerica AT guillotmichel qualityofvitaleventdataforinfantmortalityestimationinprospectivepopulationbasedstudiesananalysisofsecondarydatafromasiaafricaandlatinamerica AT adairlindas qualityofvitaleventdataforinfantmortalityestimationinprospectivepopulationbasedstudiesananalysisofsecondarydatafromasiaafricaandlatinamerica AT barrosaluisiojd qualityofvitaleventdataforinfantmortalityestimationinprospectivepopulationbasedstudiesananalysisofsecondarydatafromasiaafricaandlatinamerica AT huybregtslieven qualityofvitaleventdataforinfantmortalityestimationinprospectivepopulationbasedstudiesananalysisofsecondarydatafromasiaafricaandlatinamerica |