Implementing and scaling verbal autopsies: into the unknown

Boyce, Ross M.; Reyes, Raquel

doi:10.1186/s12916-020-01527-8

Cited by 3 publications

(5 citation statements)

References 8 publications

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“…Answers to these questions may hinge on the time, institutional and societal learning curves, and transformations necessary for the development of more effective CRVS systems in LMICs. The importance of time -a critical factor -in CRVS system evolution and development is well recognized (Boyce and Reyes 2020;Lasisi et al 2018;Hazard et al 2020). Time will play out in the short-, medium-, and long-term developmental prospects and trajectories for CRVS systems in LMICs.…”

Section: Discussion Of Results Of Key Issues Analysismentioning

confidence: 99%

“…Verbal autopsy (VA) is a community mortality data mechanism (CMDM) often implemented as a solution to the mortality and COD data challenges of LMICs (Sankoh and Byass 2014;Boyce and Reyes 2020;Bratschi 2021). VA is a procedure for collecting mortality and COD data from populations through various community survey techniques.…”

Section: Verbal Autopsy As a Solution To Mortality Data Challenges In...mentioning

confidence: 99%

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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

Maduekwe,

Banjo,

Sangodapo

et al. 2023

DemRes

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BACKGROUNDMultidimensional 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). OBJECTIVESThis 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. METHODOLOGYIssues 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. RESULTSTwo 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

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Section: Discussion Of Results Of Key Issues Analysismentioning

confidence: 99%

Section: Verbal Autopsy As a Solution To Mortality Data Challenges In...mentioning

confidence: 99%

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

Maduekwe,

Banjo,

Sangodapo

et al. 2023

DemRes

View full text Add to dashboard Cite

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“…Other countries (Colombia, China, Peru) are now following Philippine’s lead and using a similar model for certification of deaths [ 18 ]. As countries aim to improve their data for community deaths, this intervention is a realistic and achievable option [ 19 ].…”

Section: Discussionmentioning

confidence: 99%

Improving cause of death certification in the Philippines: implementation of an electronic verbal autopsy decision support tool (SmartVA auto-analyse) to aid physician diagnoses of out-of-facility deaths

et al. 2021

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Background The majority of deaths in the Philippines occur out-of-facility and require a medical certificate of cause of death by Municipal Health Officers (MHOs) for burial. MHOs lack a standardised certification process for out-of-facility deaths and when no medical records are available, certify a high proportion of ill-defined causes of death. We aimed to develop and introduce SmartVA Auto-Analyse, a verbal autopsy (VA) based electronic decision support tool in order to assist the MHOs in certifying out-of-facility deaths. Method We conducted a stakeholder consultation, process mapping and a pre-test to assess feasibility and acceptability of SmartVA Auto-Analyse. MHOs were first asked to conduct an open-ended interview from the family members of the deceased, and if they were not able to arrive at a diagnosis, continue the interview using the standardised SmartVA questionnaire. Auto-Analyse then presented the MHO with the three most likely causes of death. For the pilot, the intervention was scaled-up to 91 municipalities. We performed a mixed-methods evaluation using the cause of death data and group discussions with the MHOs. Results Of the 5649 deaths registered, Auto-Analyse was used to certify 4586 (81%). For the remaining 19%, doctors believed they could assign a cause of death based on the availability of medical records and the VA open narrative. When used, physicians used the Auto-Analyse diagnosis in 85% of cases to certify the cause of death. Only 13% of the deaths under the intervention had an undetermined cause of death. Group discussions identified two themes: Auto-Analyse standardized the certification of home deaths and assisted the MHOs to improve the quality of death certification. Conclusion Standardized VA combined with physician diagnosis using the SmartVA Auto-Analyse support tool was readily used by MHOs in the Philippines and can improve the quality of death certification of home deaths.

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“…4). Deaths of infants and children (0-10years) and young adults (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) are the least registered. Age distribution of death data collected through each source generally follows this pattern.…”

Section: Age Distribution Of Deaths By Sourcesmentioning

confidence: 99%

“…Already formal Policies and interventions promoting the adoption and use of CMDMs to enhance CRVS systems mortality data capacity in LMICs is gaining traction at various levels of governance [6,22]. At the National level Countries like India, Mozambique, Zambia, Malawi have already adopted some form of CMDMs (especially VA) programmes into their CRVS systems.…”

Section: Introductionmentioning

confidence: 99%

Is Data from Community Mortality Data Mechanisms and Civil Registration and Vital Statistics Systems Compatible and Co-Usable? Evidence from a pilot Study in Nigeria

Maduekwe,

Vincent,

Oladunjoye

et al. 2023

Preprint

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Background: Community mortality data mechanisms (CMDMs) -including verbal autopsy programmes and mortality surveillance systems-are taken as pragmatic solutions to the mortality data incapacity of CRVS systems in Low and Middle Income Countries (LMICs). This paper addresses issues related to the compatibility and co-usability of CMDM and CRVS systems data instruments and data. It demonstrates a methodology for the development of a CRVS system compatible community mortality checklist (CMC) instrument applicable to a routine community mortality surveillance system (RCMS). It compares mortality data from the Nigerian CRVS system and a pilot implementation of RCMS using the CMC. Methods: Development of the CMC was demonstrated with the Nigerian death registration data instrument. RCMS and CRVS generated data on 180 deaths were compared in nine mortality data fields or elements of registered mortality events (ERMEs): age and sex of deceased, timeliness of registration (TOR), place -facility- of death (POD), locality of death, place of registration, death certification, and causes of death (COD). Results: Differences between RCMS and CRVS mortality data were insignificant in some ERMEs like age, sex and POD of deceased but significant in others like TOR, COD and locality of death. CRVS data were slightly less male biased and more concentrated at older age groups while RCMS data were more evenly spread across age groups. Conclusion: Data from the two sources are largely compatible. CMC based RCMS can significantly expand coverage of CRVS mortality data in LMICs and help adjust its sex and age bias.

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Implementing and scaling verbal autopsies: into the unknown

Abstract: Please see related article: http://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-020-01520-1.

Cited by 3 publications

References 8 publications

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

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

Improving cause of death certification in the Philippines: implementation of an electronic verbal autopsy decision support tool (SmartVA auto-analyse) to aid physician diagnoses of out-of-facility deaths

Is Data from Community Mortality Data Mechanisms and Civil Registration and Vital Statistics Systems Compatible and Co-Usable? Evidence from a pilot Study in Nigeria

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