Center for Health Services and Nursing Research, University of Leuven, Kapucijnenvoer 35, 3000 Leuven, Belgium.
Health Policy. 2013 Jun;111(1):14-23. doi: 10.1016/j.healthpol.2013.03.013. Epub 2013 Apr 25.
To test the hypothesis that care typology-being complex and highly unpredictable versus being clear-cut and highly predictable-guides healthcare payment preferences of physicians, policy makers, healthcare executives, and researchers. We collected survey data from 942 stakeholders across Canada, Europe, Oceania, and the United States. A total of 48 international societies invited their members to participate in our study.
Cross-sectional analysis of stakeholder survey data linked to four scenarios of care typology: primary prevention, trial-and-error care, standard care and network care.
We identified two "extremes": (1) dominant preferences of physicians, who embraced fee for service (FFS), even when this precludes the advantages of other payment systems associated with a minimal risk of harm (OR 1.85 for primary prevention; OR 1.89 for standard care, compared to non-physicians); and (2) the dominant preferences of healthcare executives and researchers, who supported quality bonus or adjustment (OR 1.92) and capitation (OR 2.05), respectively, even when these could cause harm.
Based on exploratory findings, we can cautiously state that payment reform will prove to be difficult as long as physicians, healthcare executives, and researchers misalign payment systems with the nature of care. Replication studies are needed to (dis)confirm our findings within representative subsamples per area and stakeholder group.
为了检验以下假设,即护理类型——复杂且高度不可预测与明确且高度可预测——指导医生、政策制定者、医疗保健高管和研究人员的医疗保健支付偏好。我们从加拿大、欧洲、大洋洲和美国的 942 名利益相关者那里收集了调查数据。共有 48 个国际协会邀请其成员参加我们的研究。
对利益相关者调查数据的横断面分析,这些数据与护理类型的四个情景相关联:初级预防、试错护理、标准护理和网络护理。
我们确定了两个“极端”:(1)医生的主导偏好,他们支持按服务收费(FFS),即使这排除了与最小伤害风险相关的其他支付系统的优势(与非医生相比,初级预防的 OR 为 1.85;标准护理的 OR 为 1.89);(2)医疗保健高管和研究人员的主导偏好,他们分别支持质量奖金或调整(OR 1.92)和人头费(OR 2.05),即使这可能造成伤害。
基于探索性发现,只要医生、医疗保健高管和研究人员将支付系统与护理性质不匹配,我们就可以谨慎地表示,支付改革将被证明是困难的。需要进行复制研究以(确认或)否定我们在每个地区和利益相关者群体的代表性子样本中的发现。