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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
immunology and microbiology
Using verbal autopsy to ascertain perinatal cause of death: Are trained non-physicians adequate?
Tropical Medicine and International Health, Volume 14, No. 12, Year 2009
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Description
Objectives To develop a standardized verbal autopsy (VA) training program and evaluate whether its implementation resulted in comparable knowledge required to classify perinatal cause of death (COD) by physicians and non-physicians. Methods Training materials, case studies, and written and mock scenarios for this VA program were developed using conventional VA and ICD-10 guidelines. This program was used to instruct physicians and non-physicians in VA methodology using a train-the-trainer model. Written tests of cognitive and applied knowledge required to classify perinatal COD were administered before and after training to evaluate the effect of the VA training program. Results Fifty-three physicians and non-physicians (nurse-midwives/nurses and Community Health Workers [CHW]) from Pakistan, Zambia, the Democratic Republic of Congo, and Guatemala were trained. Cognitive and applied knowledge mean scores among all trainees improved significantly (12.8 and 28.8% respectively, P < 0.001). Cognitive and applied knowledge post-training test scores of nurse-midwives/nurses were comparable to those of physicians. CHW (high-school graduates with 15 months or less formal health/nursing training) had the largest improvements in post-training applied knowledge with scores comparable to those of physicians and nurse-midwives/nurses. However, CHW cognitive knowledge post-training scores were significantly lower than those of physicians and nurses. Conclusions With appropriate training in VA, cognitive and applied knowledge required to determine perinatal COD is similar for physicians and nurses-midwives/nurses. This suggests that midwives and nurses may play a useful role in determining COD at the community level, which may be a practical way to improve the accuracy of COD data in rural, remote, geographic areas. © 2009 Blackwell Publishing Ltd.
Authors & Co-Authors
Engmann, Cyril Mark
Unknown Affiliation
Jehan, Imtiaz
Unknown Affiliation
Ditekemena, John Dinanga
Unknown Affiliation
Garcés, Ana Lucía
Unknown Affiliation
Phiri, M.
Unknown Affiliation
Mazariegos, Manolo
Unknown Affiliation
Chomba, Elwyn Nachanya
Unknown Affiliation
Pasha, Omrana
Unknown Affiliation
Tshefu, Antoinette Kitoto
Unknown Affiliation
Hemed, Yusuf
Unknown Affiliation
McClure, Elizabeth M.
Unknown Affiliation
Thorsten, Vanessa R.
Unknown Affiliation
Bann, Carla M.
Unknown Affiliation
Goldenberg, Robert L.
Unknown Affiliation
Bose, Carl Lewis
Unknown Affiliation
Setel, Philip W.
Unknown Affiliation
Carlo, Waldemar A.
Unknown Affiliation
Wright, Linda L.
Unknown Affiliation
Statistics
Citations: 18
Authors: 18
Affiliations: 12
Identifiers
Doi:
10.1111/j.1365-3156.2009.02395.x
ISSN:
13602276
e-ISSN:
13653156
Research Areas
Health System And Policy
Study Locations
Congo
Zambia