Institute of Health Policy and Management, Erasmus University Rotterdam, PO Box 1738, 3000 DR Rotterdam, The Netherlands.
BMC Health Serv Res. 2012 Jan 27;12:23. doi: 10.1186/1472-6963-12-23.
This study examines health-related "hardship financing" in order to get better insights on how poor households finance their out-of-pocket healthcare costs. We define hardship financing as having to borrow money with interest or to sell assets to pay out-of-pocket healthcare costs.
Using survey data of 5,383 low-income households in Orissa, one of the poorest states of India, we investigate factors influencing the risk of hardship financing with the use of a logistic regression.
Overall, about 25% of the households (that had any healthcare cost) reported hardship financing during the year preceding the survey. Among households that experienced a hospitalization, this percentage was nearly 40%, but even among households with outpatient or maternity-related care around 25% experienced hardship financing.Hardship financing is explained not merely by the wealth of the household (measured by assets) or how much is spent out-of-pocket on healthcare costs, but also by when the payment occurs, its frequency and its duration (e.g. more severe in cases of chronic illnesses). The location where a household resides remains a major predictor of the likelihood to have hardship financing despite all other household features included in the model.
Rural poor households are subjected to considerable and protracted financial hardship due to the indirect and longer-term deleterious effects of how they cope with out-of-pocket healthcare costs. The social network that households can access influences exposure to hardship financing. Our findings point to the need to develop a policy solution that would limit that exposure both in quantum and in time. We therefore conclude that policy interventions aiming to ensure health-related financial protection would have to demonstrate that they have reduced the frequency and the volume of hardship financing.
本研究考察了与健康相关的“艰难融资”,以便更深入地了解贫困家庭如何为其自付医疗费用融资。我们将艰难融资定义为必须借钱支付利息或出售资产来支付自付医疗费用。
本研究使用印度奥里萨邦(印度最贫穷的邦之一)的 5383 户低收入家庭的调查数据,使用逻辑回归调查了影响艰难融资风险的因素。
总体而言,约 25%(有任何医疗费用)的家庭在调查前一年报告了艰难融资。在经历住院治疗的家庭中,这一比例接近 40%,但即使是门诊或孕产妇相关护理的家庭,也有 25%左右经历了艰难融资。艰难融资不仅可以用家庭(用资产衡量)的财富来解释,也可以用家庭自付医疗费用的数额、支付时间、频率和持续时间来解释(例如,慢性病情况下更为严重)。家庭居住的地点仍然是导致家庭发生艰难融资的主要预测因素,尽管模型中包含了所有其他家庭特征。
农村贫困家庭由于其应对自付医疗费用的间接和长期不利影响,面临着相当大的和长期的财务困境。家庭可以获得的社会网络会影响其面临艰难融资的程度。研究结果表明,需要制定一项政策解决方案,以限制其在数量和时间上的暴露程度。因此,我们得出结论,旨在确保与健康相关的财务保护的政策干预措施必须证明其已减少了艰难融资的频率和规模。