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Exposure to Hardship Financing for Healthcare among Rural Poor in Chhattisgarh, India

机译:在印度Chhattisgarh的农村贫困人口遭受医疗保健的困难融资

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Background: This article examines the exposure of hardship financing in a cross-section of households in four blocks of Rajnandgaon district in Chhattisgarh state, India. We define hardship financing as having to borrow money with interest or to sell assets to pay out-of-pocket healthcare costs. Methods: We used survey data of 4,600 low-income rural households using a three-stage cluster sampling procedure. In first stage, blocks were selected purposively, the second stage involved selection of villages using probability proportional to size (PPS) sampling and lastly, households were randomly selected. Binary logistics regression analysis was used to identify the determinants of exposure to hardship financing related to out-of-pocket expenses for healthcare. Results: About 14.9 per cent of the total households were exposed to hardship financing. Hardship financing occurs not only for hospitalization (nearly 10 per cent) but also for outpatient care (7.91 per cent) and maternity (around 10 per cent). Our logistics regression revealed that health expenditure in the last year was positively associated with the risk for hardship financing. Other correlates of hardship financing included education-level of the head of the household, in-house toilet facility and place of residence/blocks. Conclusion: Rural households, especially the poorer households, spend higher average healthcare payments and are exposed to hardship financing on health.
机译:背景:本文审查了印度Chhattisgarh州的四个街区的户际住户困难融资。我们界定困难融资,因为必须利益借钱或销售资产以支付港口的医疗保健费用。方法:我们使用三阶段集群采样程序使用4,600家低收入农村家庭的调查数据。在第一阶段,块被任意选择,第二阶段涉及使用概率与大小(PPS)采样的概率选择,并且是随机选择的损失。二进制物流回归分析用于确定与医疗保健的港口支出相关的困难融资的决定因素。结果:约有14.9%的家庭陷入困难融资。困难融资不仅发生住院治疗(近10%),还出现了门诊护理(7.91%)和产妇(约10%)。我们的物流回归透露,去年的健康支出与困难融资风险正相关。其他相关的困难融资包括家庭负责人的教育水平,内部厕所设施和居住地/街区。结论:农村家庭,特别是较贫穷的家庭,花费更高的平均医疗保健支付,并暴露于健康的困难融资。

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