Indiana University - Purdue University Fort Wayne, USA.
J Health Polit Policy Law. 2012 Oct;37(5):815-49. doi: 10.1215/03616878-1672727. Epub 2012 Jun 14.
This article utilizes a theoretical framework of policy innovation, diffusion, and reinvention to investigate the evolving nature of Medicaid managed care programs over time. By estimating two separate models, one for primary care case management (PCCM) and a second for risk-based program enrollment, this study seeks to disentangle two different paths of learning (internal and external), investigate the potential effects of vertical diffusion of policy, and examine the impact of internal state characteristics on the extent of Medicaid managed care. With respect to diffusion and learning, the data reveal that earlier adopters implement more extensive programs. The data fail to reveal much internal learning, although there is evidence of some. External impacts are clear: managed care enrollments in neighboring states and changes in the federal waiver process affect states' decisions. Other policy choices are important: states with more generous Medicaid eligibility rules implement more extensive managed care programs. Complementing other studies of Medicaid, we find that politics and economics make a difference for the extent of managed care programs; unlike other Medicaid studies, we find no effect of race and ethnicity.
本文利用政策创新、扩散和再发明的理论框架,研究了医疗补助管理式医疗计划随时间演变的性质。通过估计两个独立的模型,一个用于初级保健病例管理(PCCM),另一个用于基于风险的计划入组,本研究旨在厘清两种不同的学习路径(内部和外部),调查政策垂直扩散的潜在影响,并研究州内特征对医疗补助管理式医疗范围的影响。关于扩散和学习,数据显示早期采用者实施了更广泛的计划。数据没有显示出太多的内部学习,尽管有一些证据。外部影响是明显的:邻近州的管理式医疗参保人数和联邦豁免程序的变化影响了各州的决策。其他政策选择也很重要:医疗补助资格规则更宽松的州实施了更广泛的管理式医疗计划。与其他关于医疗补助的研究相补充,我们发现政治和经济对管理式医疗计划的范围有影响;与其他医疗补助研究不同,我们没有发现种族和族裔的影响。