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Use of standard verbal autopsies to improve the mortality data capacity of civil registration and vital statistics systems in low- and middle-income countries: Analysis of key issues

Author

Listed:
  • Nnamdi Maduekwe

    (National Population Commission of Nigeria)

  • Olufunmilayo Banjo

    (Obafemi Awolowo University)

  • Mike O. Sangodapo

    (National Open University of Nigeria)

  • Aisha Abdulazeez

    (National Population Commission of Nigeria)

Abstract

Background: Multidimensional issues confront the use of standard verbal autopsies (SVAs), such as the WHO’s verbal autopsy standards and the Population Health Metrics Research Consortium’s gold standard verbal autopsy, to improve the mortality data performance of civil registration and vital statistics (CRVS) systems in low- and middle-income countries (LMICs). Objective: This paper attempts an inclusive analysis of these issues and their implications for policies intending to integrate routine SVAs into CRVS systems to enhance mortality data coverage in LMICs. Methods: Issues were identified from the verbal autopsy and CRVS literature, official documents, and the authors’ field experiences with the Nigerian CRVS system. These were analysed using a problem (key issues) analysis methodology. Results: Two classes of issues were shown to impinge on the use of SVAs within CRVS systems. One class is generic to SVAs (technical complexity, cost, and standardization issues) and to CRVS systems (contextual, resource, and infrastructural limitations) in LMICs. The other is related to the incompatibility of SVA and CRVS system functions, operations, instruments, and data. Conclusions: The results indicate a need for alternative solutions to the mortality data challenges of CRVS systems in LMICs that are more pragmatic than SVAs, especially in the short and medium term. Such alternatives must involve less complex data procedures and costs and must be adapted to CRVS system functions, operations, and socioeconomic contexts in LMICs. Contribution: The paper contributes to the discourse on the use of SVAs to improve the mortality data capacity of CRVS systems in LMICs.

Suggested Citation

  • Nnamdi Maduekwe & Olufunmilayo Banjo & Mike O. Sangodapo & Aisha Abdulazeez, 2023. "Use of standard verbal autopsies to improve the mortality data capacity of civil registration and vital statistics systems in low- and middle-income countries: Analysis of key issues," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 49(10), pages 219-248.
  • Handle: RePEc:dem:demres:v:49:y:2023:i:10
    DOI: 10.4054/DemRes.2023.49.10
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    References listed on IDEAS

    as
    1. Nnamdi Ifeanyi Maduekwe & Olufunmilayo O. Banjo & Mike O. Sangodapo, 2018. "Data for the Sustainable Development Goals: Metrics for Evaluating Civil Registration and Vital Statistics Systems Data Relevance and Production Capacity, Illustrations with Nigeria," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(1), pages 101-124, November.
    2. Chan, K.S. & Roberts, E. & McCleary, R. & Buttorff, C. & Gaskin, D.J., 2014. "Community characteristics and mortality: The relative strength of association of different community characteristics," American Journal of Public Health, American Public Health Association, vol. 104(9), pages 1751-1758.
    3. Nnamdi Ifeanyi Maduekwe & Olufunmilayo O. Banjo & Mike O. Sangodapo, 2017. "The Nigerian Civil Registration and Vital Statistics System: Contexts, Institutions, Operation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 651-674, November.
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    More about this item

    Keywords

    data collection; verbal autopsies; Nigeria; mortality data; CRVS systems; LMICs;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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