Publication:
Estimation of Causes of Death in Suburban Nepal Using Verbal Autopsy

creativeworkseries.issn1812-2027
dc.contributor.authorIde, N
dc.contributor.authorFitzpatrick, AL
dc.contributor.authorFlaxman, AD
dc.contributor.authorKoju, R
dc.contributor.authorTamrakar, D
dc.contributor.authorHernandez, B
dc.date.accessioned2025-10-14T05:55:09Z
dc.date.available2025-10-14T05:55:09Z
dc.date.issued2016
dc.descriptionIde N,1 Fitzpatrick AL,2 Flaxman AD,3 Koju R,4 Tamrakar D,4 Hernandez B3 1Department of Global Health University of Washington Box 357965 Seattle, WA 98195 USA. 2Departments of Family Medicine, Epidemiology, and Global Health, Box 354696 Seattle, WA 98195 USA. 3Institute for Health Metrics and Evaluation 2301 5th Ave. Suite 600, Seattle, WA 98121, USA. 4Dhulikhel Hospital-Kathmandu University Hospital Dhulikhel, Kavre, Nepal
dc.description.abstractABSTRACT Background Nepal is in the midst of a disease transition, including a rapid increase of non- communicable diseases. In order for health policy makers and planners to make informed programmatic and funding decisions, they need up to date and accurate data regarding cause of death throughout the country. Methods of improving cause of death reporting in Nepal are urgently required. Objective We sought to validate SmartVA-Analyze, an application which computer certifies verbal autopsies, to evaluate it as a method for collecting mortality data in Nepal. Method We conducted a medical record review of mortality cases at Dhulikhel Hospital, Kathmandu University Hospital. Cases with a verifiable underlying cause of death were used as gold standard reference cases. Verbal autopsies were conducted with caregivers of 48 gold standard cases. Result Of the 66 adult gold standard mortality cases reviewed, 76% were caused by cancer, cirrhosis, cardiovascular disease, COPD or injury. When assessing concordance between cause of death from verbal autopsy vs. gold standards, we found an overall agreement (Kappa) of 0.50. Kappa based on broader ICD-10 categories was 0.69. Cause-Specific Mortality Fraction Accuracy was 0.625, and disease specific measures of concordance varied widely, with sensitivities ranging from 0-100%. Conclusion Ongoing, countrywide mortality data collection is crucial for evidence-based priority setting in Nepal. Though not valid for all causes, we found SmartVA-Analyze to provide useful general cause of death data, particularly in settings where death certification is unavailable. KEY WORDS Cause of death, death certification, Nepal, SmartVA, verbal autopsy
dc.identifier.urihttps://hdl.handle.net/20.500.14572/2650
dc.language.isoen_US
dc.publisherKathmandu University
dc.subjectCause of death
dc.subjectDeath certification
dc.subjectNepal
dc.subjectSmartVA
dc.subjectVerbal autopsy
dc.titleEstimation of Causes of Death in Suburban Nepal Using Verbal Autopsy
dc.typeArticle
dspace.entity.typePublication
local.article.typeOriginal Article
oaire.citation.endPage119
oaire.citation.startPage112
relation.isJournalIssueOfPublication85720222-10c0-44b9-a31b-f82c7012b09a
relation.isJournalIssueOfPublication.latestForDiscovery85720222-10c0-44b9-a31b-f82c7012b09a
relation.isJournalOfPublicationa782b7ff-cf89-4178-ad1c-11ed89cfe1bd

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