Hsu Justine, Jowett Matthew, Mills Anne, Hanson Kara
World Health Organization, Department of Health Financing and Economics, 20 Avenue Appia, Geneva 1211, Switzerland.
London School of Hygiene & Tropical Medicine, Department of Global Health and Development, Keppel Street, London WC1E 7HT, United Kingdom.
SSM Health Syst. 2025 Jun;4:100055. doi: 10.1016/j.ssmhs.2025.100055.
Policy interventions to improve financial protection do not always work as expected and their impact can vary across settings, suggesting that underlying health financing attributes (i.e. system arrangements for revenue raising, pooling and purchasing) matter. The objective of this study is to systematically identify patterns of health financing system attributes which influence the impact of policy interventions on financial protection.
We conducted a systematic literature review to identify studies evaluating the impact of health financing interventions on financial protection. We searched across five databases from their earliest record to October 2023 and applied no geographic restrictions. Data were extracted on the measured outcome of catastrophic health expenditures and on underlying attributes of the health financing system. Patterns in the relationship between system attributes and financial protection were identified using qualitative comparative analysis (QCA). QCA compares and contrasts different combinations and assesses through formal statistical tests the degree to which combinations are present (or absent) when the intervention has been successful (or not) in obtaining the outcome of interest. Results from QCA tests were illustrated by selected studies.
We identified 128 studies in our literature review from which a rich dataset was formed, representing diverse health financing systems and country reform experiences. The QCA approach to synthesize the literature provided unique insights regarding the pathway from policy intervention to impact on financial protection. We found empirical support for the significance of system attributes influencing intervention impact on financial protection. Findings indicated that combinations of more than one attribute were needed for positive impact on catastrophic health expenditures whereas only an individual attribute was needed to avoid negative impact. Attributes can have a direct or indirect effect on impact and can be synergistic, opposing or mitigating in relation to improving financial protection.
This is the first application of QCA to health financing data. The pathway between impact on financial protection and a health financing intervention is complex and mediated by combinations of explanatory factors. Further research is needed for more comprehensive analyses across all health financing functions. Taking into account the underlying attributes of the health financing system and their interactions is critical to ensuring effective policies and progress on financial protection.
旨在改善财务保护的政策干预措施并不总是按预期发挥作用,其影响在不同环境中可能有所不同,这表明潜在的卫生筹资属性(即筹集资金、风险共担和采购的系统安排)很重要。本研究的目的是系统地确定影响政策干预对财务保护影响的卫生筹资系统属性模式。
我们进行了一项系统的文献综述,以确定评估卫生筹资干预措施对财务保护影响的研究。我们检索了五个数据库,从其最早记录到2023年10月,且未设地理限制。提取了关于灾难性卫生支出的测量结果以及卫生筹资系统的潜在属性的数据。使用定性比较分析(QCA)确定系统属性与财务保护之间关系的模式。QCA比较和对比不同组合,并通过正式统计检验评估在干预成功(或未成功)获得感兴趣的结果时组合存在(或不存在)的程度。QCA测试结果通过选定的研究进行说明。
我们在文献综述中确定了128项研究,从中形成了一个丰富的数据集,代表了不同的卫生筹资系统和国家改革经验。综合文献的QCA方法提供了关于从政策干预到对财务保护影响的途径的独特见解。我们发现系统属性对干预对财务保护的影响具有重要意义,这得到了实证支持。研究结果表明,需要多个属性的组合才能对灾难性卫生支出产生积极影响,而只需一个单独的属性即可避免负面影响。属性可以对影响产生直接或间接作用,并且在改善财务保护方面可以是协同、相反或减轻的。
这是QCA在卫生筹资数据中的首次应用。对财务保护的影响与卫生筹资干预之间的途径很复杂,并且由解释因素的组合介导。需要进一步研究以对所有卫生筹资功能进行更全面的分析。考虑卫生筹资系统的潜在属性及其相互作用对于确保有效政策和财务保护方面的进展至关重要。