Department of Asian and Policy Studies, The Education University of Hong Kong, 10 Lo Ping Road, Tai Po, New Territories, Hong Kong SAR, China.
Health Policy Plan. 2023 Feb 13;38(2):218-227. doi: 10.1093/heapol/czac080.
Gaining wide prominence in the global health arena, scaling-up increases the coverage of health innovations emerging from pilots and experimental projects to a larger scale. However, scaling-up in the health sector should not follow a linear 'pilot-diffusion' pathway in order to better facilitate local adaptation and policy refinement. This paper puts forth 'scaling-up through piloting' as a distinctive pathway for the strategic management of scaling-up in the health sector. It analyses the recent development of provider payment reforms in China, focusing particularly on the ongoing pilot programmes, namely diagnosis-related groups (DRGs) and diagnosis-intervention packet (DIP), that are being piloted in a dual-track fashion since 2020. Data were drawn from extensive documentary analysis and 20 in-depth interviews with key stakeholders, including decision-makers and implementers. This paper finds that scaling-up through piloting helps Chinese policymakers minimize the vast uncertainties associated with complex payment reforms and maximize the local adaptability of provider payment innovations. This pathway has forged a phased implementation process, allowing new payment models to be tested, evaluated, compared and adjusted in a full spectrum of local contexts before national rollout. The phased implementation creates a 'slower is faster' effect, helping reduce long-term negative consequences arising from improperly managed scaling-up in a complex system. Error detection and correction and recalibration of new policy tools can support national-level policy refinement in a more robust and dynamic fashion. Several key factors have been identified as crucial for strategic scaling-up: necessary central steering, a pragmatic piloting design, strong technical capacity and effective policy learning mechanisms.
在全球卫生领域引起广泛关注的是,扩大规模将试点和实验项目中涌现的卫生创新的覆盖范围扩大到更大的规模。然而,为了更好地促进本地适应和政策完善,卫生部门的扩大规模不应遵循线性的“试点-扩散”途径。本文提出“通过试点扩大规模”作为卫生部门扩大规模战略管理的独特途径。它分析了中国最近在提供者支付改革方面的发展,重点关注正在试点的两个方案,即自 2020 年以来以双轨制试点的按疾病诊断相关分组(DRGs)和按诊断-干预包(DIP)。数据来自广泛的文献分析和对 20 名关键利益相关者的深入访谈,包括决策者和实施者。本文发现,通过试点扩大规模有助于中国政策制定者最大限度地减少与复杂支付改革相关的巨大不确定性,并最大限度地提高提供者支付创新的本地适应性。这种途径形成了一个分阶段实施的过程,使新的支付模式能够在全国推广之前,在各种本地环境中进行测试、评估、比较和调整。分阶段实施产生了“慢即是快”的效果,有助于减少复杂系统中管理不善的扩大规模所带来的长期负面影响。错误检测和纠正以及新政策工具的重新校准可以以更稳健和动态的方式支持国家层面的政策完善。已经确定了几个关键因素,这些因素对于战略扩大规模至关重要:必要的中央指导、务实的试点设计、强大的技术能力和有效的政策学习机制。