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Assessing household wealth in health studies in developing countries: a comparison of participatory wealth ranking and survey techniques from rural South Africa

机译:在发展中国家的健康研究中评估家庭财富:南非农村地区参与式财富排名和调查技术的比较

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Background Accurate tools for assessing household wealth are essential for many health studies in developing countries. Household survey and participatory wealth ranking (PWR) are two approaches to generate data for this purpose. Methods A household survey and PWR were conducted among eight villages in rural South Africa. We developed three indicators of household wealth using the data. One indicator used PWR data only, one used principal components analysis to combine data from the survey, while the final indicator used survey data combined in a manner informed by the PWR. We assessed internal consistency of the indices and assessed their level of agreement in ranking household wealth. Results Food security, asset ownership, housing quality and employment were important indicators of household wealth. PWR, consisting of three independent rankings of 9671 households, showed a high level of internal consistency (intraclass correlation coefficient 0.81, 95% CI 0.79–0.82). Data on 1429 households were available from all three techniques. There was moderate agreement in ranking households into wealth tertiles between the two indicators based on survey data (spearman rho = 0.69, kappa = 0.43), but only limited agreement between these techniques and the PWR data (spearman rho = 0.38 and 0.31, kappa = 0.20 and 0.17). Conclusion Both PWR and household survey can provide a rapid assessment of household wealth. Each technique had strengths and weaknesses. Reasons for differences might include data inaccuracies or limitations in the methods by which information was weighted. Alternatively, the techniques may measure different things. More research is needed to increase the validity of measures of socioeconomic position used in health studies in developing countries.
机译:背景技术评估家庭财富的准确工具对于发展中国家的许多健康研究至关重要。家庭调查和参与式财富排名(PWR)是为此目的生成数据的两种方法。方法对南非农村的八个村庄进行了家庭调查和压水堆。我们使用数据开发了家庭财富的三个指标。一个指标仅使用PWR数据,一个指标使用主成分分析来合并调查数据,而最后一个指标则使用以PWR通知的方式合并调查数据。我们评估了这些指标的内部一致性,并评估了它们在家庭财富排名中的一致性水平。结果粮食安全,资产所有权,住房质量和就业是家庭财富的重要指标。 PWR由9671户家庭的三个独立排名组成,显示出较高的内部一致性(类内相关系数为0.81,95%CI为0.79-0.82)。三种技术均可获得1429户的数据。在基于调查数据的两个指标之间,将家庭按财富三等分的等级进行了适度的一致(spearman rho = 0.69,kappa = 0.43),但在这些技术与PWR数据之间只有有限的一致性(spearman rho = 0.38和0.31,kappa = 0.20和0.17)。结论PWR和家庭调查都可以快速评估家庭财富。每种技术都有优点和缺点。差异的原因可能包括数据不准确或信息加权方法的局限性。可替代地,这些技术可以测量不同的事物。需要开展更多的研究来提高发展中国家卫生研究中所采用的社会经济地位衡量指标的有效性。

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