Integrating community-based verbal autopsy into civil registration and vital statistics (CRVS): system-level considerations

References

• AbouZahr C, de Savigny D, Mikkelsen L, et al. Towards universal civil registration and vital statistics systems: the time is now. Lancet. 2015;386:1407–14.
   PubMed Web of Science ®Google Scholar
• AbouZahr C, de Savigny D, Mikkelsen L, et al. Civil registration and vital statistics: progress in the data revolution for counting and accountability. Lancet. 2015;386:1373–1385.
   PubMed Web of Science ®Google Scholar
• Mikkelsen L, Phillips DE, AbouZahr C, et al. A global assessment of civil registration and vital statistics systems: monitoring data quality and progress. Lancet. 2015;386:1395–1406.
   PubMed Web of Science ®Google Scholar
• Phillips DE, AbouZahr C, Lopez AD, et al. Are well functioning civil registration and vital statistics systems associated with better health outcomes? Lancet. 2015;386:1386–1394.
   PubMed Web of Science ®Google Scholar
• Murray CJ, Lopez AD, Barofsky JT, et al. Estimating population cause-specific mortality fractions from in-hospital mortality: validation of a new method. PLoS Med. 2007;4:e326.
   PubMed Web of Science ®Google Scholar
• Joubert J, Bradshaw D, Kabudula C, et al. Record-linkage comparison of verbal autopsy and routine civil registration death certification in rural north-east South Africa: 2006–09. Int J Epidemiol. 2014;43:1945–1958.
   PubMed Web of Science ®Google Scholar
• World Health Organization. Towards a monitoring framework with targets and indicators for the health goals of the post-2015 sustainable development goals. Geneva: World Health Organization; 2015.
   Google Scholar
• Sankoh O, Byass P. Cause-specific mortality at INDEPTH health and demographic surveillance system sites in Africa and Asia: concluding synthesis. Glob Health Action. 2014;7:25590.
   PubMed Web of Science ®Google Scholar
• Byass P, de Savigny D, Lopez AD. Essential evidence for guiding health system priorities and policies: anticipating epidemiological transition in Africa. Glob Health Action. 2014;7:23359.
   PubMed Web of Science ®Google Scholar
• World Bank, World Health Organization. Global civil registration and vital statistics scaling up investment plan 2015–2024. Washington (DC): World Bank; 2014.
   Google Scholar
• ESCAP Statistics Division. Regional strategic plan for the improvement of civil registration and vital statistics in Asia and the Pacific (Draft). Bangkok: ESCAP; 2012.
   Google Scholar
• Economic Commission for Africa. Reforming and improving civil registration and vital statistics systems in Africa. Regional Medium-Term Plan: 2010-2015. Durban: Republic of South Africa: UNECA; 2012.
   Google Scholar
• McCormick TH, Li Z, Calvert C, et al. Probabilistic cause-of-death assignment using verbal autopsies. ArXiv. 2015;1:1411.304.
   Google Scholar
• Byass P, Chandramohan D, Clark SJ, et al. Strengthening standardised interpretation of verbal autopsy data: the new InterVA-4 tool. Glob Health Action. 2012;5:19281.
   PubMed Web of Science ®Google Scholar
• Murray CJL, Lozano R, Flaxman AD, et al. Using verbal autopsy to measure causes of death: the comparative performance of existing methods. BMC Med. 2014;5:12.
   PubMed Web of Science ®Google Scholar
• Garenne M. Prospects for automated diagnosis of verbal autopsies. BMC Med. 2014;12:18.
   PubMed Web of Science ®Google Scholar
• AbouZahr C. Verbal autopsy: who needs it? Popul Health Metr. 2011;9:19.
   PubMed Web of Science ®Google Scholar
• Oti SO, Kyobutungi C. Verbal autopsy interpretation: a comparative analysis of the InterVA model versus physician review in determining causes of death in the Nairobi DSS. Popul Health Metr. 2010;8:21.
   PubMed Web of Science ®Google Scholar
• Serina P, Riley I, Stewart A, et al. A shortened verbal autopsy instrument for use in routine mortality surveillance systems. BMC Med. 2015;13:302.
   PubMed Web of Science ®Google Scholar
• Serina P, Riley I, Stewart A, et al. Improving performance of the tariff method for assigning causes of death to verbal autopsies. BMC Med. 2015;13:291.
   PubMed Web of Science ®Google Scholar
• King G, Lu Y, Shibuya K. Designing verbal autopsy studies. Popul Health Metr. 2010;8:19.
   PubMed Web of Science ®Google Scholar
• Sankoh O, Byass P. The INDEPTH network: filling vital gaps in global epidemiology. Int J Epidemiol. 2012;41:579–588.
   PubMed Web of Science ®Google Scholar
• Streatfield PK, Khan WA, Bhuiya A, et al. Cause-specific mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites. Glob Health Action. 2014;7:25362.
   PubMed Web of Science ®Google Scholar
• Leitao J, Chandramohan D, Byass P, et al. Revising the WHO verbal autopsy instrument to facilitate routine cause-of-death monitoring. Glob Health Action. 2013;6:21518.
   PubMed Web of Science ®Google Scholar
• World Health Organization. Verbal autopsy standards: the 2014 WHO verbal autopsy instrument. Geneva: WHO; 2015.
   Google Scholar
• King C, Zamawe C, Banda M, et al. The quality and diagnostic value of open narratives in verbal autopsy: a mixed-methods analysis of partnered interviews from Malawi. BMC Med Res Methodol. 2016;16:13.
   PubMed Web of Science ®Google Scholar
• Liu L, Li M, Cummings S, et al. Deriving causes of child mortality by re-analyzing national verbal autopsy data applying a standardized computer algorithm in Uganda, Rwanda and Ghana. J Glob Health. 2015;5:010414.
   PubMed Web of Science ®Google Scholar
• Byass P, Herbst K, Fottrell E, et al. Comparing verbal autopsy cause of death findings as determined by physician coding and probabilistic modelling: a public health analysis of 54 000 deaths in Africa and Asia. J Glob Health. 2015;5:65–73.
   Web of Science ®Google Scholar
• Desai N, Aleksandrowicz L, Miasnikof P, et al. Performance of four computer-coded verbal autopsy methods for cause of death assignment compared with physician coding on 24,000 deaths in low- and middle-income countries. BMC Med. 2014;12:20.
   PubMed Web of Science ®Google Scholar
• James SL, Flaxman AD, Murray CJ, et al. Performance of the Tariff Method: validation of a simple additive algorithm for analysis of verbal autopsies. Popul Health Metr. 2011;9:31.
   PubMed Web of Science ®Google Scholar
• Setel PW. Verbal autopsy and global mortality statistics: if not now, then when? Popul Health Metr. 2011;9:20.
   PubMed Web of Science ®Google Scholar
• D’Ambruoso L, Boerma T, Byass P, et al. The case for verbal autopsy in health systems strengthening. Lancet Glob Health. 2016;5:1.
   PubMed Web of Science ®Google Scholar
• Lozano R, Lopez AD, Atkinson C, et al. Performance of physician-certified verbal autopsies: multisite validation study using clinical diagnostic gold standards. Popul Health Metr. 2011;9:32.
   PubMed Web of Science ®Google Scholar
• Miasnikof P, Giannakeas V, Gomes M, et al. Naive Bayes classifiers for verbal autopsies: comparison to physician-based classification for 21,000 child and adult deaths. BMC Med. 2015;13:286.
   PubMed Web of Science ®Google Scholar
• Leitao J, Desai N, Aleksandrowicz L, et al. Comparison of physician-certified verbal autopsy with computer-coded verbal autopsy for cause of death assignment in hospitalized patients in low- and middle-income countries: systematic review. BMC Med. 2014;12:22.
   PubMed Web of Science ®Google Scholar
• Garenne M, Fauveau V. Potential and limits of verbal autopsies. Bull World Health Organ. 2006;84:164.
   PubMed Web of Science ®Google Scholar
• Soleman N, Chandramohan D, Shibuya K. Verbal autopsy: current practices and challenges. Bull World Health Organ. 2006;84:239–245.
   PubMed Web of Science ®Google Scholar
• Polprasert W, Rao C, Adair T, et al. Cause-of-death ascertainment for deaths that occur outside hospitals in Thailand: application of verbal autopsy methods. Popul Health Metr. 2010;8:13.
   PubMed Web of Science ®Google Scholar
• Ohemeng-Dapaah S, Pronyk P, Akosa E, et al. Combining vital events registration, verbal autopsy and electronic medical records in rural Ghana for improved health services delivery. Stud Health Technol Inform. 2010;160:416–420.
   PubMedGoogle Scholar
• United Nations Statistical Division. Principles and recommendations for a vital statistics system, Revision 3. New York: United Nations Statistical Division; 2014.
   Google Scholar
• Giduthuri JG, Maire N, Joseph S, et al. Developing and validating a tablet version of an illness explanatory model interview for a public health survey in Pune, India. PLoS One. 2014;9:e107374.
   PubMed Web of Science ®Google Scholar
• Bird J, Byass P, Kahn K, et al. A matter of life and death: practical and ethical constraints in the development of a mobile verbal autopsy tool. CHI. Paris; 2013 Apr. p. 1489.
   Google Scholar
• Kabadi GS, Geubbels E, Lyatuu I, et al. Data resource profile: the sentinel panel of districts: Tanzania’s national platform for health impact evaluation. Int J Epidemiol. 2015;44:79–86.
   PubMed Web of Science ®Google Scholar
• Ndila C, Bauni E, Nyirongo V, et al. Verbal autopsy as a tool for identifying children dying of sickle cell disease: a validation study conducted in Kilifi district, Kenya. BMC Med. 2014;12:65.
   PubMed Web of Science ®Google Scholar
• Mudenda S, Kamocha S, Mswia R, et al. Feasibility of using a World Health Organization-standard methodology for Sample Vital Registration with Verbal Autopsy (SAVVY) to report leading causes of death in Zambia: results of a pilot in four provinces, 2010. Popul Health Metr. 2011;9:40.
   PubMed Web of Science ®Google Scholar
• Hussain-Alkhateeb L, Petzold M, Collinson M, et al. Effects of recall time on cause-of-death findings using verbal autopsy: empirical evidence from rural South Africa. Emerg Themes Epidemiol. 2016;13:10.
   PubMed Web of Science ®Google Scholar
• Kabadi G, Mwanyika H, de Savigny D. Mobile phone SMS support to improve coverage of birth and death registration: a scalable solution. Queensland (Australia): Health Information Systems Knowledge Hub, School of Population Health, The University of Queensland; 2013.
   Google Scholar
• World health Organization. MOVE-IT: report on monitoring of vital events using information technology: WHO; 2013. [cited 6 Dec 2016]. Available from: http://www.who.int/healthinfo/civil_registration/crvs_report_it_2013.pdf?ua=1
   Google Scholar
• Aborigo RA, Allotey P, Tindana P, et al. Cultural imperatives and the ethics of verbal autopsies in rural Ghana. Glob Health Action. 2013;6:18570.
   PubMed Web of Science ®Google Scholar
• Gouda HN, Kelly-Hanku A, Wilson L, et al. “Whenever they cry, I cry with them”: reciprocal relationships and the role of ethics in a verbal autopsy study in Papua New Guinea. Soc Sci Med. 2016;163:1–9.
   PubMed Web of Science ®Google Scholar
• Gouda HNF A, Joshi R, Riley I, et al. New challenges for verbal autopsy: considering the ethical and social implications of verbal autopsy methods in routine health information systems. Soc Sci Med. Submitted 2016.
   Web of Science ®Google Scholar
• INDEPTH. INDEPTH resource kit for demographic surveillance systems. Accra. 2008. [cited 2016 Dec 6]. Available from: www.indepth-network.org
   Google Scholar
• Ye Y, Wamukoya M, Ezeh A, et al. Health and demographic surveillance systems: a step towards full civil registration and vital statistics system in sub-Sahara Africa? BMC Public Health. 2012;12:741.
   PubMed Web of Science ®Google Scholar
• Joshi R, Praveen D, Jan S, et al. How much does a verbal autopsy based mortality surveillance system cost in rural India? PLoS One. 2015;10:e0126410.
   PubMed Web of Science ®Google Scholar
• Pratiwi ED, Kosen S. Development of an Indonesian sample registration system: a longitudinal study. Lancet. 2013;381:S118.
   Web of Science ®Google Scholar
• Godefay H, Abrha A, Kinsman J, et al. Undertaking cause-specific mortality measurement in an unregistered population: an example from Tigray Region, Ethiopia. Glob Health Action. 2014;7:25264.
   PubMed Web of Science ®Google Scholar
• WHO. Verbal autopsy standards: ascertaining and attributing causes of death Geneva. 2014. [cited 6 Dec 2016]. Available from: http://www.who.int/healthinfo/statistics/verbalautopsystandards/en/
   Google Scholar
• Scanlon P, Nichols EK. Results of the cognitive interviewing study of the 2012 WHO verbal autopsy instrument in Nyanza Province, Kenya. Hyattsville: National Center for Health Statistics, Centers for Disease Control and Prevention; 2013.
   Google Scholar
• UNECA. CRVS digitisation guidebook: a step-by-step guide to digitising civil registration and vital statistics processes in low resource settings Africa programme for accelerated improvement of civil registration and vital statistics; 2015. [cited 6 December 2016]. Available from: http://www.crvs-dgb.org/en/
   Google Scholar
• Hartung C, Anokwa Y, Brunnette W, et al., editors. Open data kit: tools to build information services for developing regions. In: ICTD ‘10 Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development; 2010 Dec. London (UK): ICTD; 2010.
   Google Scholar
• DHIS2. DHIS2. [cited 6 Dec 2016]. Available from: https://www.dhis2.org/
   Google Scholar
• DHIS2. DHIS2 implementation guide. editor. Oslo (Norway). [cited 6 Dec 2016]. Available from: https://ci.dhis2.org/docs/2.24/en/implementer/dhis2_implementation_guide.pdf
   Google Scholar
• Garenne M, Collinson MA, Kabudula CW, et al. Completeness of birth and death registration in a rural area of South Africa: the Agincourt health and demographic surveillance, 1992–2014. Glob Health Action. 2016;9:32795.
   PubMed Web of Science ®Google Scholar