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布基纳法索农村地区用 InterVA 和医师编码法死因分布。

Cause of death distribution with InterVA and physician coding in a rural area of Burkina Faso.

机构信息

Institute of Public Health, University Hospital of Heidelberg, Heidelberg, Germany.

出版信息

Trop Med Int Health. 2012 Jul;17(7):904-13. doi: 10.1111/j.1365-3156.2012.02998.x. Epub 2012 May 11.

Abstract

OBJECTIVES

To compare the cause of death distribution using the Physician Coded Verbal Autopsy approach versus the Interpreting Verbal Autopsy model, based on information from a French verbal autopsy questionnaire, in rural north-western Burkina Faso.

METHODS

Data from 5649 verbal autopsy questionnaires reviewed by local physicians at the Nouna Health and Demographic Surveillance Site between 1998 and 2007 were considered for analyses. Information from VA interviews was extracted to create a set of standard indicators needed to run the Interpreting Verbal Autopsy model. Cause-specific mortality fractions were used to compare Physician Coded Verbal Autopsy and Interpreting Verbal Autopsy results.

RESULTS

At the population level, 62.5% of causes of death using the Interpreting Verbal Autopsy model corresponded with those determined by two or three physicians. Although seven of the 10 main causes of death were present in both approaches, the comparison of percentages of single causes of death shows discrepancies, dominated by higher malaria rates found in the Physician Coded Verbal Autopsy approach.

CONCLUSION

Our results confirm that national mortality statistics, which are partly based on verbal autopsies, must be carefully interpreted. Difficulties in determining malaria as cause of death in holoendemic malaria regions might result in higher discrepancies than those in non-endemic areas. As neither Physician Coded Verbal Autopsy nor Interpreting Verbal Autopsy results represent a gold standard, uncertainty levels with either procedure are high.

摘要

目的

比较使用医师编码语言尸检法与解释语言尸检模型的死因分布情况,依据的是来自布基纳法索西北部农村地区语言尸检调查问卷的信息。

方法

对 1998 年至 2007 年间努纳健康和人口监测点由当地医生审查的 5649 份语言尸检问卷的数据进行了分析。从 VA 访谈中提取信息,创建了运行解释语言尸检模型所需的一套标准指标。使用死因特异性死亡率分数来比较医师编码语言尸检和解释语言尸检的结果。

结果

在人群水平上,使用解释语言尸检模型确定的死因中有 62.5%与两名或三名医师确定的死因相符。尽管两种方法都确定了 10 种主要死因中的 7 种,但单一死因的百分比比较显示存在差异,主要原因是医师编码语言尸检方法中发现的疟疾发病率较高。

结论

我们的结果证实,部分基于语言尸检的国家死亡率统计数据必须谨慎解读。在全疟疾流行地区确定疟疾作为死因可能会导致比非流行地区更高的差异。由于医师编码语言尸检和解释语言尸检的结果都不是金标准,两种方法的不确定性都很高。

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