Joshi Rohina, Lopez Alan D, MacMahon Stephen, Reddy Srinath, Dandona Rakhi, Dandona Lalit, Neal Bruce
The George Institute for International Health, University of Sydney, Sydney, Australia.
Bull World Health Organ. 2009 Jan;87(1):51-7. doi: 10.2471/blt.08.051250.
To assess the impact on the reported cause-of-death patterns of a verbal autopsy coding strategy based on a review of every death by multiple coders versus a single coder.
Deaths in 45 villages (total population 180,162) in southern India were documented during 12 months in 2003-2004, and a standard verbal autopsy questionnaire was completed for each death. Two physician coders, each unaware of the other's decisions, assigned an underlying cause of death in accordance with the causes listed in the chapter headings of the International classification of diseases and related health problems, 10th revision (ICD-10). For the three chapter headings that applied to more than 100 of the deaths, agreement for subsets of causes of death within the chapter was also analysed. In the event of discrepancies, a third coder was used to finalize a cause of death. Cohen's kappa statistic (Kappa) was used to measure levels of agreement between the two physician coders.
In total, 1354 deaths were documented, and a verbal autopsy was completed for 1329 (98%) of them. At the chapter heading level of the ICD-10, physician coders assigned the same cause to 1255 deaths (94%) (Kappa = 0.93; 95% confidence interval: 0.92-0.94). The patterns of death derived from the causes assigned by each physician were all very similar to the patterns obtained through the consensus process, with the rank order of the 10 leading causes of death being the same for all three coding methods.
Duplicate coding of verbal autopsy results has little advantage over a single-coder system for mortality surveillance or for identifying population patterns of death. Resources could be better diverted to other parts of the mortality surveillance process, such as validation.
评估基于多名编码员与一名编码员对每例死亡进行审查的死因解剖编码策略对报告的死因模式的影响。
2003 - 2004年的12个月期间,记录了印度南部45个村庄(总人口180,162)的死亡情况,并为每例死亡填写了一份标准的死因解剖调查问卷。两名医生编码员,彼此都不知道对方的决定,根据《国际疾病和相关健康问题统计分类》第十版(ICD - 10)章节标题中列出的原因确定根本死因。对于适用于100例以上死亡的三个章节标题,还分析了章节内死因子集的一致性。如有差异,则由第三名编码员确定最终死因。使用科恩kappa统计量(Kappa)来衡量两名医生编码员之间的一致程度。
总共记录了1354例死亡,其中1329例(98%)完成了死因解剖。在ICD - 10的章节标题层面,医生编码员为1255例死亡(94%)确定了相同的死因(Kappa = 0.93;95%置信区间:0.92 - 0.94)。每位医生确定的死因所产生的死亡模式与通过共识过程获得的模式非常相似,所有三种编码方法的前10位主要死因的排名顺序相同。
对于死亡率监测或确定人群死亡模式,死因解剖结果的重复编码相对于单编码员系统几乎没有优势。资源可以更好地转向死亡率监测过程的其他部分,如验证。