ArticleInternational journal of epidemiology2014
Record-linkage comparison of verbal autopsy and routine civil registration death certification in rural north-east South Africa: 2006-09.
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Article in International journal of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Telephonic verbal autopsies among adults in South Africa: a feasibility and acceptability pilot study.BMJ open · 2025Article
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- Population perspectives and demographic methods to strengthen CRVS systems: introduction.Genus · 2022Article
- Mortality transition over a quarter century in rural South Africa: findings from population surveillance in Agincourt 1993-2018.Global health action · 2021Article
- Understanding non-communicable diseases: combining health surveillance with local knowledge to improve rural primary health care in South Africa.Global health action · 2021Article
- Validation of verbal autopsy methods for assessment of child mortality in sub-Saharan Africa and the policy implication: a rapid review.The Pan African medical journal · 2019Review
- Assessing the completeness and accuracy of South African National Laboratory CD4 and viral load data: a cross-sectional study.BMJ open · 2018Article
- Leading causes of death of women of reproductive age in the Republic of Georgia: findings from the National Reproductive Age Mortality Survey (2014).International journal of women's health · 2018Article
- Social autopsy for identifying causes of adult mortality.PloS one · 2018Article
- Causes of death among women aged 17-49 years between 2007 and 2010 in Maputo, Mozambique.Journal of global health · 2017Article
- Estimating the impact of antiretroviral treatment on adult mortality trends in South Africa: A mathematical modelling study.PLoS medicine · 2017Article
- Integrating community-based verbal autopsy into civil registration and vital statistics (CRVS): system-level considerations.Global health action · 2017Article
- A Successful Failure: Missing the MDG4 Target for Under-Five Mortality in South Africa.PLoS medicine · 2015Article
- Innovations in health and demographic surveillance systems to establish the causal impacts of HIV policies.Current opinion in HIV and AIDS · 2015Review
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Authors and funding
9 authors.
Jané JoubertBurden 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 jane.joubert@mrc.ac.za.
Debbie BradshawBurden 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 KabudulaBurden 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 RaoBurden 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 KahnBurden 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 MeeBurden 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 TollmanBurden 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 LopezBurden 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 VosBurden 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.
Funding
Partnership for Social Science AIDS Research in South African's Era of ART RollouR24AG032112 · NIA · UNIVERSITY OF COLORADO · PI MENKEN, JANE A · 2007 to 2011
$1.6MNIA NIH HHS 1R24AG032112-01NIA NIH HHS 5R24AG032112-03NIA NIH HHS R24 AG032112Wellcome TrustWellcome Trust 058893/Z/99/AWellcome Trust 069683/Z/02/ZWellcome Trust 085477/Z/08/Z
Abstract
backgroundSouth 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.
methodsDeterministic 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.
resultsA 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.
conclusionDespite 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.
Indexed as
Cause of DeathData CollectionRegistriesAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedResearch DesignRural PopulationAgincourt Health and Demographic Surveillance Systemcauses of deathdata linkagedata qualityMortalityrural South AfricaStatistics South Africaverbal autopsyvital statistics
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