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Nichols EK, Byass P, Chandramohan D, Clark SJ, Flaxman AD, Jakob R, Leitao J, Maire N, Rao C, Riley I, Setel PW. The WHO 2016 verbal autopsy instrument: An international standard suitable for automated analysis by InterVA, InSilicoVA, and Tariff 2.0. PLoS Med 2018; 15:e1002486. [PMID: 29320495 PMCID: PMC5761828 DOI: 10.1371/journal.pmed.1002486] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Verbal autopsy (VA) is a practical method for determining probable causes of death at the population level in places where systems for medical certification of cause of death are weak. VA methods suitable for use in routine settings, such as civil registration and vital statistics (CRVS) systems, have developed rapidly in the last decade. These developments have been part of a growing global momentum to strengthen CRVS systems in low-income countries. With this momentum have come pressure for continued research and development of VA methods and the need for a single standard VA instrument on which multiple automated diagnostic methods can be developed. METHODS AND FINDINGS In 2016, partners harmonized a WHO VA standard instrument that fully incorporates the indicators necessary to run currently available automated diagnostic algorithms. The WHO 2016 VA instrument, together with validated approaches to analyzing VA data, offers countries solutions to improving information about patterns of cause-specific mortality. This VA instrument offers the opportunity to harmonize the automated diagnostic algorithms in the future. CONCLUSIONS Despite all improvements in design and technology, VA is only recommended where medical certification of cause of death is not possible. The method can nevertheless provide sufficient information to guide public health priorities in communities in which physician certification of deaths is largely unavailable. The WHO 2016 VA instrument, together with validated approaches to analyzing VA data, offers countries solutions to improving information about patterns of cause-specific mortality.
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Affiliation(s)
- Erin K. Nichols
- National Center for Health Statistics, Centers for Disease Control and Prevention, United States Public Health Service, Hyattsville, Maryland, United States of America
| | - Peter Byass
- WHO Collaborating Centre for Verbal Autopsy, Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
- MRC-Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Samuel J. Clark
- MRC-Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Sociology, The Ohio State University, Columbus, Ohio, United States of America
- ALPHA Network, London School of Hygiene and Tropical Medicine, London, United Kingdom
- INDEPTH Network, Accra, Ghana
| | - Abraham D. Flaxman
- Institute for Health Metrics and Evaluation, Department of Global Health, University of Washington, Seattle, Seattle, Washington, United States of America
| | - Robert Jakob
- World Health Organization (WHO), Geneva, Switzerland
| | | | - Nicolas Maire
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Chalapati Rao
- Department of Global Health, Research School of Population Health, Australian National University, Canberra, Australia
| | - Ian Riley
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Philip W. Setel
- Vital Strategies, New York, New York, United States of America
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Joubert J, Bradshaw D, Kabudula C, Rao C, Kahn K, Mee P, Tollman S, Lopez AD, Vos T. Record-linkage comparison of verbal autopsy and routine civil registration death certification in rural north-east South Africa: 2006-09. Int J Epidemiol 2014; 43:1945-58. [PMID: 25146564 PMCID: PMC4276059 DOI: 10.1093/ije/dyu156] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background: South African civil registration (CR) provides a key data source for local health decision making, and informs the levels and causes of mortality in data-lacking sub-Saharan African countries. We linked mortality data from CR and the Agincourt Health and Socio-demographic Surveillance System (Agincourt HDSS) to examine the quality of rural CR data. Methods: Deterministic and probabilistic techniques were used to link death data from 2006 to 2009. Causes of death were aggregated into the WHO Mortality Tabulation List 1 and a locally relevant short list of 15 causes. The matching rate was compared with informant-reported death registration. Using the VA diagnoses as reference, misclassification patterns, sensitivity, positive predictive values and cause-specific mortality fractions (CSMFs) were calculated for the short list. Results: A matching rate of 61% [95% confidence interval (CI): 59.2 to 62.3] was attained, lower than the informant-reported registration rate of 85% (CI: 83.4 to 85.8). For the 2264 matched cases, cause agreement was 15% (kappa 0.1083, CI: 0.0995 to 0.1171) for the WHO list, and 23% (kappa 0.1631, CI: 0.1511 to 0.1751) for the short list. CSMFs were significantly different for all but four (tuberculosis, cerebrovascular disease, other heart disease, and ill-defined natural) of the 15 causes evaluated. Conclusion: Despite data limitations, it is feasible to link official CR and HDSS verbal autopsy data. Data linkage proved a promising method to provide empirical evidence about the quality and utility of rural CR mortality data. Agreement of individual causes of death was low but, at the population level, careful interpretation of the CR data can assist health prioritization and planning.
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Affiliation(s)
- Jané Joubert
- Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia and Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia and Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Debbie Bradshaw
- Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia and Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Chodziwadziwa Kabudula
- Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia and Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Chalapati Rao
- Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia and Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Kathleen Kahn
- Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia and Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia and Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The Uni
| | - Paul Mee
- Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia and Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia and Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Stephen Tollman
- Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia and Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia and Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The Uni
| | - Alan D Lopez
- Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia and Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Theo Vos
- Burden of Disease Research Unit, South African Medical Research Council, Parow Vallei, Western Cape, South Africa, School of Population Health, The University of Queensland, Brisbane, QLD, Australia, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa, Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden, INDEPTH Network, Accra, Ghana, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia and Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA
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