Nicholas Lauren Hersch
University of Michigan.
Forum Health Econ Policy. 2013 May 15;16(1):137-161. doi: 10.1515/fhep-2012-0037.
Do differences in rates of use among managed care and Fee-for-Service Medicare beneficiaries reflect selection bias or successful care management by insurers? I demonstrate a new method to estimate the treatment effect of insurance status on health care utilization. Using clinical information and risk-adjustment techniques on data on acute admission that are unrelated to recent medical care, I create a proxy measure of unobserved health status. I find that positive selection accounts for between one-quarter and one-third of the risk-adjusted differences in rates of hospitalization for ambulatory care sensitive conditions and elective procedures among Medicare managed care and Fee-for-Service enrollees in 7 years of Healthcare Cost and Utilization Project State Inpatient Databases from Arizona, Florida, New Jersey and New York matched to Medicare enrollment data. Beyond selection effects, I find that managed care plans reduce rates of potentially preventable hospitalizations by 12.5 per 1,000 enrollees (compared to mean of 46 per 1,000) and reduce annual rates of elective admissions by 4 per 1,000 enrollees (mean 18.6 per 1,000).
管理式医疗和按服务收费的医疗保险受益人在使用率上的差异反映的是选择偏差还是保险公司成功的医疗管理?我展示了一种新方法来估计保险状态对医疗保健利用率的治疗效果。利用与近期医疗护理无关的急性入院数据中的临床信息和风险调整技术,我创建了一个未观察到的健康状况的代理指标。我发现,在与医疗保险参保数据匹配的来自亚利桑那州、佛罗里达州、新泽西州和纽约州的7年医疗成本和利用项目州住院数据库中,医疗保险管理式医疗和按服务收费的参保人中,正向选择占门诊护理敏感疾病和择期手术住院率风险调整差异的四分之一到三分之一。除了选择效应,我还发现管理式医疗计划将每1000名参保人中潜在可预防的住院率降低了12.5例(相比之下平均每1000人中有46例),并将每1000名参保人的择期入院年率降低了4例(平均每1000人中有18.6例)。