부산대학교 도서관

To purchase or authenticate to the full-text of this article, please visit this link: http://dx.doi.org/10.1111/j.1365-3156.2006.01603.x Byline: Philip W. Setel (1), David R. Whiting (2), Yusuf Hemed (3), Daniel Chandramohan (4), Lara J. Wolfson (5), K. G. M. M. Alberti (6), Alan D. Lopez (7) Keywords: cause of death; autopsy/methods; epidemiological measurements; epidemiological methods; vital statistics; child mortality Abstract: Summary Objectives To validate verbal autopsy (VA) procedures for use in sample vital registration. Verbal autopsy is an important method for deriving cause-specific mortality estimates where disease burdens are greatest and routine cause-specific mortality data do not exist. Methods Verbal autopsies and medical records (MR) were collected for 3123 deaths in the perinatal/neonatal period, post-neonatal Results Verbal autopsy produced accurate CSMFs for nine causes in different age groups: birth asphyxia; intrauterine complications; pneumonia; HIV/AIDS; malaria (adults); tuberculosis; cerebrovascular diseases; injuries and direct maternal causes. Results for 20 other causes approached the threshold for good performance. Conclusions Verbal autopsy reliably estimated CSMFs for diseases of public health importance in all age groups. Further validation is needed to assess reasons for lack of positive results for some conditions. Author Affiliation: (1) Department of Epidemiology and MEASURE Evaluation, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (2) University of Newcastle upon Tyne School of Population and Health Sciences; Faculty of Medicine; Newcastle upon Tyne, UK (3) SAVVY Regional Coordinator, MEASURE Evaluation and Tanzanian Ministry of Health, Dar es Salaam, Tanzania (4) Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK (5) Department of Immunization, Vaccines, and Biologicals, World Health Organization, Geneva, Switzerland (6) Department of Endocrinology and Metabolism, Imperial College, London, UK (7) School of Population Health, University of Queensland, Herston, Australia Article note: Corresponding Author Philip W. Setel, Department of Epidemiology and MEASURE Evaluation, Carolina Population Center, University of North Carolina at Chapel Hill, 206 W Franklin St, 2nd Floor, Chapel Hill, NC 27516, USA. Tel.: +1 919 966 7541; Fax: +1 919 966 2391; E-mail: psetel@unc.edu