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Mortality measurement in transition: proof of principle for standardised multi-country comparisons.

机译:转型中的死亡率测量:标准化的多国比较的原理证明。

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SUMMARY OBJECTIVE: To demonstrate the viability and value of comparing cause-specific mortality across four socioeconomically and culturally diverse settings using a completely standardised approach to VA interpretation. METHODS: Deaths occurring between 1999 and 2004 in Butajira (Ethiopia), Agincourt (South Africa), FilaBavi (Vietnam) and Purworejo (Indonesia) health and socio-demographic surveillance sites were identified. VA interviews were successfully conducted with the caregivers of the deceased to elicit information on signs and symptoms preceding death. The information gathered was interpreted using the InterVA method to derive population cause-specific mortality fractions for each of the four settings. RESULTS: The mortality profiles derived from 4784 deaths using InterVA illustrate the potential of the method to characterise sub-national profiles well. The derived mortality patterns illustrate four populations with plausible, markedly different disease profiles, apparently at different stages of health transition. CONCLUSIONS: Given the standardised method of VA interpretation, the observed differences in mortality cannot be because of local differences in assigning cause of death. Standardised, fit-for-purpose methods are needed to measure population health and changes in mortality patterns so that appropriate health policy and programmes can be designed, implemented and evaluated over time and place. The InterVA approach overcomes several longstanding limitations of existing methods and represents a valuable tool for health planners and researchers in resource-poor settings.
机译:摘要目的:展示使用完全标准化的VA解释方法在四种社会经济和文化背景下比较特定原因死亡率的可行性和价值。方法:确定了1999年至2004年在布塔吉拉(埃塞俄比亚),阿金库尔(南非),菲拉巴维(越南)和普禾雷霍(印度尼西亚)的健康和社会人口普查场所死亡。 VA访谈成功地与死者的看护人进行了访谈,以获取有关死亡前体征和症状的信息。使用InterVA方法对收集到的信息进行解释,以得出四种情况下每种人群特定原因的死亡率。结果:使用InterVA从4784例死亡中得出的死亡率概况说明了该方法很好地表征国家以下概况的潜力。推导的死亡率模式说明了四个人群,这些人群的疾病状况似乎合理,明显不同,显然处于健康过渡的不同阶段。结论:给定的VA解释的标准化方法,观察到的死亡率差异不能是由于确定死亡原因的局部差异。需要采用标准的,适合目的的方法来衡量人口健康状况和死亡率变化,以便可以设计,实施和评估随时间和地点变化的适当卫生政策和计划。 InterVA方法克服了现有方法的几个长期限制,对于资源匮乏的环境中的健康计划人员和研究人员而言,它是一种宝贵的工具。

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