Comparison of the Causes of Death Identified Using Automated Verbal Autopsy and Complete Autopsy among Brought-in-Dead Cases at a Tertiary Hospital in Sub-Sahara Africa.
Comparison of the Causes of Death Identified Using Automated Verbal Autopsy and Complete Autopsy among Brought-in-Dead Cases at a Tertiary Hospital in Sub-Sahara Africa.
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DOI：
10.1055/s-0042-1749118
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发表时间：
2022-05
影响因子：
2.9
通讯作者：
Mucheleng'anga, Luchenga
中科院分区：
文献类型：
--
作者：
Yokobori, Yuta;Matsuura, Jun;Sugiura, Yasuo;Mutemba, Charles;Julius, Peter;Himwaze, Cordelia;Nyahoda, Martin;Mwango, Chomba;Kazhumbula, Lloyd;Yuasa, Motoyuki;Munkombwe, Brian;Mucheleng'anga, Luchenga
赞比亚卫生机构记录的死亡人数中有三分之一以上是死亡（BID），死亡原因（COD）没有得到充分分析。据报告，使用自动推断尸检（VA）确定的BID病例的COD比医院发布的死亡通知表多。然而，自动VA的有效性还有待充分研究。 目的比较自动化VA与尸体解剖鉴定的COD，以检验VA工具的有效性。 方法研究地点为赞比亚首都的一家三级医院。 从2019年9月至2020年1月，所有13岁及以上在工作日白天被带到医院的BID病例均入组本研究。排除外部COD病例。死者的亲属使用2016年世界卫生组织VA问卷进行了采访。使用InterVA（一种自动VA工具）分析数据，以确定COD，并将其与完整尸检的结果进行比较。 结果共纳入63例患者。 50例BID病例的COD由InterVA和完整尸检确定。InterVA的阳性预测值为22%。InterVA在100%的孕产妇COD、27.5%的非传染性疾病COD和5.3%的传染性疾病COD中正确确定了COD。使用三个更广泛的疾病组，56.0%的病例被归类在同一组的两种方法。 结论虽然阳性预测值较低，但超过一半的病例被归类为相同的更广泛的类别。 然而，这项研究有几个局限性，包括样本量小。需要进行更多的研究，以调查导致这两种方法确定的COD之间的差异的因素，以优化自动VA在赞比亚的使用。
Background Over one-third of deaths recorded at health facilities in Zambia are brought in dead (BID) and the causes of death (CODs) are not fully analyzed. The use of automated verbal autopsy (VA) has reportedly determined the CODs of more BID cases than the death notification form issued by the hospital. However, the validity of automated VA is yet to be fully investigated. Objectives To compare the CODs identified by automated VA with those by complete autopsy to examine the validity of a VA tool. Methods The study site was the tertiary hospital in the capital city of Zambia. From September 2019 to January 2020, all BID cases aged 13 years and older brought to the hospital during the daytime on weekdays were enrolled in this study. External COD cases were excluded. The deceased's relatives were interviewed using the 2016 World Health Organization VA questionnaire. The data were analyzed using InterVA, an automated VA tool, to determine the CODs, which were compared with the results of complete autopsies. Results A total of 63 cases were included. The CODs of 50 BID cases were determined by both InterVA and complete autopsies. The positive predictive value of InterVA was 22%. InterVA determined the CODs correctly in 100% cases of maternal CODs, 27.5% cases of noncommunicable disease CODs, and 5.3% cases of communicable disease CODs. Using the three broader disease groups, 56.0% cases were classified in the same groups by both methods. Conclusion While the positive predictive value was low, more than half of the cases were categorized into the same broader categories. However, there are several limitations in this study, including small sample size. More research is required to investigate the factors leading to discrepancies between the CODs determined by both methods to optimize the use of automated VA in Zambia.
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影响因子：
3.3
作者：
França E;Campos D;Guimarães MD;Souza Mde F
通讯作者：
Souza Mde F
影响因子：
3.4
作者：
Byass, P;Fottrell, E;Van, DD
通讯作者：
Van, DD
影响因子：
3.3
作者：
Lozano R;Freeman MK;James SL;Campbell B;Lopez AD;Flaxman AD;Murray CJ;Population Health Metrics Research Consortium (PHMRC)
通讯作者：
Population Health Metrics Research Consortium (PHMRC)
影响因子：
9.3
作者：
Flaxman, Abraham D.;Joseph, Jonathan C.;Lopez, Alan D.
通讯作者：
Lopez, Alan D.
影响因子：
7.2
作者：
Byass, Peter;Herbst, Kobus;Tollman, Stephen M.
通讯作者：
Tollman, Stephen M.