Chuma Jane, Molyneux Catherine
Kenya Medical Research Institute, Kilifi, Kenya.
Health Policy Plan. 2009 Mar;24(2):83-93. doi: 10.1093/heapol/czn050.
Research on the impact of socio-economic status (SES) on access to health care services and on health status is important for allocating resources and designing pro-poor policies. Socio-economic differences are increasingly assessed using asset indices as proxy measures for SES. For example, several studies use asset indices to estimate inequities in ownership and use of insecticide treated nets as a way of monitoring progress towards meeting the Abuja targets. The validity of different SES measures has only been tested in a limited number of settings, however, and there is little information on how choice of welfare measure influences study findings, conclusions and policy recommendations. In this paper, we demonstrate that household SES classification can depend on the SES measure selected. Using data from a household survey in coastal Kenya (n = 285 rural and 467 urban households), we first classify households into SES quintiles using both expenditure and asset data. Household SES classification is found to differ when separate rural and urban asset indices, or a combined asset index, are used. We then use data on bednet ownership to compare inequalities in ownership within each setting by the SES measure selected. Results show a weak correlation between asset index and monthly expenditure in both settings: wider inequalities in bednet ownership are observed in the rural sample when expenditure is used as the SES measure [Concentration Index (CI) = 0.1024 expenditure quintiles; 0.005 asset quintiles]; the opposite is observed in the urban sample (CI = 0.0518 expenditure quintiles; 0.126 asset quintiles). We conclude that the choice of SES measure does matter. Given the practical advantages of asset approaches, we recommend continued refinement of these approaches. In the meantime, careful selection of SES measure is required for every study, depending on the health policy issue of interest, the research context and, inevitably, pragmatic considerations.
研究社会经济地位(SES)对获得医疗服务和健康状况的影响,对于资源分配和制定扶贫政策具有重要意义。社会经济差异越来越多地通过资产指数来评估,以此作为SES的替代指标。例如,多项研究使用资产指数来估计在拥有和使用经杀虫剂处理的蚊帐方面的不平等情况,以此作为监测实现阿布贾目标进展的一种方式。然而,不同SES指标的有效性仅在有限的一些环境中进行过测试,而且关于福利指标的选择如何影响研究结果、结论和政策建议的信息很少。在本文中,我们证明家庭SES分类可能取决于所选择的SES指标。利用肯尼亚沿海地区一次家庭调查的数据(农村285户,城市467户),我们首先使用支出和资产数据将家庭划分为SES五分位数。结果发现,当使用单独的农村和城市资产指数或综合资产指数时,家庭SES分类会有所不同。然后我们使用蚊帐拥有情况的数据,通过所选择的SES指标来比较每个环境中拥有情况的不平等程度。结果表明,在两个环境中资产指数与月支出之间的相关性都较弱:在农村样本中,当使用支出作为SES指标时,蚊帐拥有情况的不平等程度更大[集中指数(CI)=支出五分位数为0.1024;资产五分位数为0.005];而在城市样本中情况则相反(CI =支出五分位数为0.0518;资产五分位数为0.126)。我们得出结论,SES指标的选择确实很重要。鉴于资产方法的实际优势,我们建议继续完善这些方法。与此同时,每项研究都需要根据所关注的卫生政策问题、研究背景以及不可避免的实际考虑因素,仔细选择SES指标。