Addis Ababa Mortality Surveillance Program, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
BMC Med Res Methodol. 2012 Aug 28;12:130. doi: 10.1186/1471-2288-12-130.
Verbal autopsy has been widely used to estimate causes of death in settings with inadequate vital registries, but little is known about its validity. This analysis was part of Addis Ababa Mortality Surveillance Program to examine the validity of verbal autopsy for determining causes of death compared with hospital medical records among adults in the urban setting of Ethiopia.
This validation study consisted of comparison of verbal autopsy final diagnosis with hospital diagnosis taken as a "gold standard". In public and private hospitals of Addis Ababa, 20,152 adult deaths (15 years and above) were recorded between 2007 and 2010. With the same period, a verbal autopsy was conducted for 4,776 adult deaths of which, 1,356 were deceased in any of Addis Ababa hospitals. Then, verbal autopsy and hospital data sets were merged using the variables; full name of the deceased, sex, address, age, place and date of death. We calculated sensitivity, specificity and positive predictive values with 95% confidence interval.
After merging, a total of 335 adult deaths were captured. For communicable diseases, the values of sensitivity, specificity and positive predictive values of verbal autopsy diagnosis were 79%, 78% and 68% respectively. For non-communicable diseases, sensitivity of the verbal autopsy diagnoses was 69%, specificity 78% and positive predictive value 79%. Regarding injury, sensitivity of the verbal autopsy diagnoses was 70%, specificity 98% and positive predictive value 83%. Higher sensitivity was achieved for HIV/AIDS and tuberculosis, but lower specificity with relatively more false positives.
These findings may indicate the potential of verbal autopsy to provide cost-effective information to guide policy on communicable and non communicable diseases double burden among adults in Ethiopia. Thus, a well structured verbal autopsy method, followed by qualified physician reviews could be capable of providing reasonable cause specific mortality estimates in Ethiopia. However, the limited generalizability of this study due to the fact that matched verbal autopsy deaths were all in-hospital deaths in an urban center, thus results may not be generalizable to rural home deaths. Such application and refinement of existing verbal autopsy methods holds out the possibility of obtaining replicable, sustainable and internationally comparable mortality statistics of known quality. Similar validation studies need to be undertaken considering the limitation of medical records as "gold standard" since records may not be confirmed using laboratory investigations or medical technologies. The validation studies need to address child and maternal causes of death and possibly all underlying causes of death.
在生命登记系统不完善的情况下,死因推断已被广泛用于评估死因,但对于其准确性知之甚少。本分析是亚的斯亚贝巴死亡率监测计划的一部分,旨在检查死因推断在城市环境下与医院病历相比确定成人死因的准确性。
本验证研究包括将死因推断的最终诊断与医院诊断进行比较,后者被视为“金标准”。在亚的斯亚贝巴的公立和私立医院中,2007 年至 2010 年记录了 20152 例成人死亡(15 岁及以上)。同期,对 4776 例成人死亡进行了死因推断,其中 1356 例死亡于亚的斯亚贝巴的任何一家医院。然后,使用全名、性别、地址、年龄、地点和死亡日期等变量合并死因推断和医院数据集。我们计算了敏感性、特异性和阳性预测值,并给出了 95%置信区间。
合并后,共捕获了 335 例成人死亡。对于传染病,死因推断诊断的敏感性、特异性和阳性预测值分别为 79%、78%和 68%。对于非传染性疾病,死因推断诊断的敏感性为 69%,特异性为 78%,阳性预测值为 79%。对于伤害,死因推断诊断的敏感性为 70%,特异性为 98%,阳性预测值为 83%。HIV/AIDS 和结核病的敏感性较高,但特异性较低,假阳性较多。
这些发现表明,死因推断有可能为埃塞俄比亚成年人的传染病和非传染病双重负担提供具有成本效益的信息,从而为政策提供指导。因此,采用结构合理的死因推断方法,并由合格的医生进行审核,有可能提供合理的病因特异性死亡率估计。然而,由于匹配的死因推断死亡均为城市中心的院内死亡,因此该研究的结果可能不具有普遍性。因此,现有死因推断方法的应用和改进有可能获得可复制、可持续和具有国际可比性的高质量死亡率统计数据。由于病历可能未通过实验室检查或医疗技术进行确认,因此需要开展类似的验证研究,考虑到将病历作为“金标准”的局限性。这些验证研究需要涵盖儿童和孕产妇死因以及可能的所有根本死因。