School of Labor and Human Resources, Renmin University of China, No. 59, Zhongguancun Street, Beijing, China.
Department of Social Work, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
Health Policy Plan. 2023 Jan 6;38(1):83-96. doi: 10.1093/heapol/czac086.
Subnational disparities in most health systems often defy 'one-size-fits-all' approach in policy implementation. When local authorities implement a national policy in a decentralized context, they behave as a strategic policy actor in specifying the central mandates, selecting appropriate tools and setting key implementation parameters. Local policy discretion leads to diverse policy mixes across regions, thus complicating evidence-based evaluations of policy impacts. When measuring complex policy reforms, mainstream policy evaluation methodologies have tended to adopt simplified policy proxies that often disguise distinct policy choices across localities, leaving the heterogeneous effects of the same generic policy largely unknown. Using the emerging 'text-as-data' methodology and drawing from subnational policy documents, this study developed a novel approach to policy measurement through analysing policy big data. We applied this approach to examine the impacts of China's Urban Employee Basic Medical Insurance (UEBMI) on individuals' out-of-pocket (OOP) spending. We found substantial disparities in policy choices across prefectures when categorizing the UEBMI policy framework into benefit-expansion and cost-containment reforms. Overall, the UEBMI policies lowered enrollees' OOP spending in prefectures that embraced both benefit-expansion and cost-containment reforms. In contrast, the policies produced ill effects on OOP spending of UEBMI enrollees and uninsured workers in prefectures that carried out only benefit-expansion or cost-containment reforms. The micro-level impacts of UEBMI enrolment on OOP spending were conditional on whether prefectural benefit-expansion and cost-containment reforms were undertaken in concert. Only in prefectures that promulgated both types of reforms did UEBMI enrolment reduce OOP spending. These findings contribute to a comprehensive text-mining measurement approach to locally diverse policy efforts and an integration of macro-level policy analysis and micro-level individual analysis. Contextualizing policy measurements would improve the methodological rigour of health policy evaluations. This paper concludes with implications for health policymakers in China and beyond.
在大多数卫生系统中,次国家级差异常常使政策实施中的“一刀切”方法失效。当地方当局在权力下放的背景下实施国家政策时,它们作为一个战略政策行为者,在明确中央任务、选择适当工具和设定关键实施参数方面发挥作用。地方政策酌处权导致了不同地区的政策组合多样化,从而使政策影响的循证评估变得复杂。在衡量复杂的政策改革时,主流政策评估方法往往采用简化的政策代理,这些代理常常掩盖了不同地方的明显政策选择,使得同一通用政策的异质效应在很大程度上不为人知。本研究利用新兴的“文本即数据”方法,并从地方政策文件中提取数据,通过分析政策大数据,为政策衡量开发了一种新方法。我们应用这种方法来检验中国城镇职工基本医疗保险(UEBMI)对个人自付支出(OOP)的影响。我们发现,在将 UEBMI 政策框架划分为福利扩张和成本控制改革时,各地区的政策选择存在很大差异。总体而言,在同时实施福利扩张和成本控制改革的地区,UEBMI 政策降低了参保人员的 OOP 支出。相比之下,在仅实施福利扩张或成本控制改革的地区,UEBMI 参保人员和未参保人员的 OOP 支出则产生了不良影响。UEBMI 参保对 OOP 支出的微观影响取决于是否在县级层面上同步实施了福利扩张和成本控制改革。只有在同时颁布这两种类型的改革的县,UEBMI 参保才能降低 OOP 支出。这些发现为地方多样化政策努力的综合文本挖掘衡量方法以及宏观政策分析和微观个人分析的整合做出了贡献。对政策衡量进行背景化处理将提高卫生政策评估的方法严谨性。本文最后为中国及其他国家的卫生政策制定者提出了相关启示。