Kaiser Andrea Hannah, Vorn Searivoth, Ekman Björn, Ross Marlaina, Mao Sovathiro, Koy Sokunthea, Koeut Pichenda, Sundewall Jesper
Lund University, Department of Clinical Sciences, Malmö, Jan Waldenströms Gata 35, Malmö, Sweden; General Secretariat for the National Social Protection Council, Ministry of Economy and Finance of Cambodia, Street 92, 120211, Phnom Penh, Cambodia.
General Secretariat for the National Social Protection Council, Ministry of Economy and Finance of Cambodia, Street 92, 120211, Phnom Penh, Cambodia.
Soc Sci Med. 2025 Feb;367:117783. doi: 10.1016/j.socscimed.2025.117783. Epub 2025 Jan 29.
Out-of-pocket health expenditures (OOPE) are an inefficient and inequitable means of health financing. Identifying the factors driving these expenditures is crucial to design effective prepayment schemes. This study uses Cambodia-a country with high OOPE and prevalent informal employment-as a case study to analyse the relative contributions of healthcare, health, and social factors to OOPE and the OOPE budget share (OOPE as a proportion of total annual household expenditure) across different points in their distribution.
We used data from a 2023 cross-sectional survey among 3254 households engaged in informal employment with no access to prepayment schemes (uncovered households). We employed unconditional quantile regression to investigate the distributional effects of healthcare, health, and social factors on OOPE and the OOPE budget share. To examine the heterogeneity in the contributions of these factors to the explained variance in OOPE and the OOPE budget share at different quantiles, we combined unconditional quantile regression with Shapley decomposition.
Uncovered households incurred high OOPE, leading to elevated incidences of financial hardship. Healthcare factors, including levels of care, private providers, medications, and visits were the largest contributors to the explained variance in OOPE and the OOPE budget share. Health factors, including severity, days lost to illness/injury, noncommunicable diseases, and injuries, also contributed substantially. Social factors contributed less overall, with wealth being the primary driver. Contributions of these factors varied across different points in the outcome distributions.
These findings underscore the need to improve financial protection for uncovered households. The Cambodian government should consider expanding prepayment schemes that directly address the main healthcare drivers identified in this study. Schemes should provide effective access to comprehensive outpatient care and essential medications, and necessary services at higher care levels, including in the private sector. Addressing the rising burden of noncommunicable diseases alongside multisectoral efforts to reduce injuries may also be important.
自付医疗费用是一种低效且不公平的医疗融资方式。识别驱动这些支出的因素对于设计有效的预付计划至关重要。本研究以柬埔寨——一个自付医疗费用高且非正规就业普遍的国家——为案例研究,分析医疗、健康和社会因素对自付医疗费用及其在不同分布点的自付医疗费用预算份额(自付医疗费用占家庭年度总支出的比例)的相对贡献。
我们使用了2023年对3254户从事非正规就业且无法享受预付计划的家庭(未参保家庭)进行的横断面调查数据。我们采用无条件分位数回归来研究医疗、健康和社会因素对自付医疗费用及其预算份额的分布效应。为了检验这些因素对不同分位数下自付医疗费用及其预算份额的解释方差贡献的异质性,我们将无条件分位数回归与夏普里分解相结合。
未参保家庭自付医疗费用高昂,导致经济困难发生率上升。医疗因素,包括护理水平、私立医疗机构、药品和就诊次数,是自付医疗费用及其预算份额解释方差的最大贡献因素。健康因素,包括疾病严重程度、因病/伤损失的天数、非传染性疾病和伤害,也有很大贡献。社会因素总体贡献较小,财富是主要驱动因素。这些因素的贡献在结果分布的不同点有所不同。
这些发现强调了改善未参保家庭财务保护的必要性。柬埔寨政府应考虑扩大预付计划,直接解决本研究中确定的主要医疗驱动因素。这些计划应提供有效途径,以获得全面的门诊护理和基本药物,以及包括私立部门在内的更高护理水平的必要服务。应对非传染性疾病负担的上升以及通过多部门努力减少伤害也可能很重要。