Weissert W G, Lesnick T, Musliner M, Foley K A
University of Michigan, USA.
J Health Polit Policy Law. 1997 Dec;22(6):1329-57. doi: 10.1215/03616878-22-6-1329.
The Arizona Long-Term Care System is the first capitated, long-term care Medicaid program in the nation to operate statewide. It promotes an extensive home and community-based services program intended to lower long-term care costs by substituting home care for institutional care. Because the program is statewide, finding a suitable control group to evaluate it was a serious problem. A substitute strategy was chosen that compares actual costs incurred to an estimate of what costs would have been in the absence of home and community-based (HCB) services. To estimate the likelihood of institutionalizing clients in the absence of HCB services, coefficients for institutionalization risk factors were estimated in a logistic regression model developed using national data. These were applied to characteristics of Arizona clients. The model assigned approximately 75 percent of the program's clients to a category with traits that were determined to resemble nursing home residents' traits. A similar methodology was used to estimate lengths of nursing home stays. Lengths of stay by the program's nursing home patients were regressed on their characteristics using an event history analysis model. Coefficients for these characteristics from the regression analysis were then applied to HCB services clients to estimate how long their nursing home stays would have lasted, had they been institutionalized. These estimated nursing home stays were generally shorter than these same patients' observed home and community stays. Risk of institutionalization was then multiplied by estimated length of stay and by monthly nursing home costs to estimate what costs would have been without the HCB services option. The expected costs were compared to actual costs to judge cost savings. Home and community-based services appeared to save substantial amounts on costs of nursing home care. Estimates of savings were very robust and did not appear to be declining as the program matured. Savings probably came from several sources: the assessment teams that judged client eligibility were employed by a state agency and thus were independent from the program contractors; clients were required to be in need of at least a three-month nursing home stay; a cap was placed on the number of HCB services clients contractors were allowed to serve each month; the capitated payment methodology forced managed care contractors to hold down average HCB services costs or lose money; and the HCB services and nursing home costs were blended in the capitated rate, so that plans that failed to place clients in HCB services would lose money by using more nursing home days than their monthly capitated rate allowed.
亚利桑那长期护理系统是美国首个在全州范围内运营的按人头付费的长期护理医疗补助计划。它推行了一项广泛的基于家庭和社区的服务计划,旨在通过用家庭护理替代机构护理来降低长期护理成本。由于该计划覆盖全州,找到一个合适的对照组来评估它是个严重问题。于是选择了一种替代策略,即将实际发生的成本与在没有基于家庭和社区(HCB)服务的情况下预计的成本进行比较。为了估计在没有HCB服务的情况下客户入住机构的可能性,在使用全国数据建立的逻辑回归模型中估计了入住机构风险因素的系数。这些系数应用于亚利桑那州客户的特征。该模型将该计划约75%的客户归为一类,其特征被确定与疗养院居民的特征相似。采用了类似的方法来估计疗养院的住院时长。使用事件史分析模型,根据该计划中疗养院患者的特征对其住院时长进行回归分析。然后将回归分析中这些特征的系数应用于接受HCB服务的客户,以估计如果他们被送进机构,其疗养院住院时长会持续多久。这些估计的疗养院住院时长通常比这些相同患者实际的家庭和社区停留时间短。然后将入住机构的风险乘以估计的住院时长和每月的疗养院成本,以估计在没有HCB服务选项的情况下成本会是多少。将预期成本与实际成本进行比较,以判断成本节约情况。基于家庭和社区的服务似乎在疗养院护理成本上节省了大量资金。节约成本的估计非常可靠,而且似乎并没有随着该计划的成熟而下降。节约成本可能来自几个方面:判断客户资格的评估团队由一个州机构雇佣,因此独立于该计划的承包商;要求客户至少需要在疗养院住三个月;对每个月HCB服务承包商被允许服务的客户数量设了上限;按人头付费的方法迫使管理式医疗承包商压低平均HCB服务成本,否则就会亏损;HCB服务和疗养院成本在按人头付费率中混合计算,因此那些未能将客户安排到HCB服务的计划,由于使用的疗养院天数超过其每月按人头付费率允许范围,将会亏损。