Grembowski D E, Diehr P, Novak L C, Roussel A E, Martin D P, Patrick D L, Williams B, Ulrich C M
Dept of Health Services, University of Washington, Seattle 98195-7660, USA.
Health Serv Res. 2000 Aug;35(3):707-34.
(1) To develop indexes measuring the degree of managedness and the covered benefits of health insurance plans, (2) to describe the variation in these indexes among plans in one health insurance market, (3) to assess the validity of the health plan indexes, and (4) to examine the association between patient characteristics and the health plan indexes. Measures of the "managedness" and covered benefits of health plans are requisite for studying the effects of managed care on clinical practice and health system performance, and they may improve people's understanding of our complex health care system.
DATA SOURCES/STUDY SETTING: As part of our larger Physician Referral Study, we collected health insurance information for 189 insurance product lines and 755 products in the Seattle, Washington metropolitan area, which we linked with the study's data for 2,277 patients recruited in local primary care offices.
Managed care and benefit variables were constructed through content analysis of health plan information. Principal component analysis of the variables produced a managedness index, an in-network benefits index, and an out-of-network benefits index. Bivariable analyses examined associations between patient characteristics and the three indexes.
From the managed care variables, we constructed three provider-oriented indexes for the financial, utilization management, and network domains of health plans. From these, we constructed a single managedness index, which correlated as expected with the individual measures, with the domain indexes, with plan type (FFS, PPO, POS, HMO), with independent assessments of local experts, and with patients' attitudes about their health insurance. For benefits, we constructed an in-network benefits index and an out-of-network benefits index, which were correlated with the managedness index. The personal characteristics of study patients were associated with the managed care and benefit indexes. Study patients in more managed plans reported somewhat better health than patients in less managed plans.
Indexes of the managedness and benefits of health plans can be constructed from publicly available information. The managedness and benefit indexes are associated with the personal characteristics and health status of study patients. Potential uses of the managed care and benefits indexes are discussed.
(1)制定衡量医疗保险计划管理程度和涵盖福利的指标;(2)描述一个医疗保险市场中各计划在这些指标上的差异;(3)评估健康计划指标的有效性;(4)研究患者特征与健康计划指标之间的关联。衡量健康计划的“管理程度”和涵盖福利对于研究管理式医疗对临床实践和卫生系统绩效的影响是必要的,并且它们可能会增进人们对我们复杂的医疗保健系统的理解。
数据来源/研究背景:作为我们更大规模的医生转诊研究的一部分,我们收集了华盛顿州西雅图市都会区189个保险产品线和755种产品的医疗保险信息,并将其与在当地初级保健办公室招募的2277名患者的研究数据相联系。
通过对健康计划信息的内容分析构建管理式医疗和福利变量。对这些变量进行主成分分析得出了一个管理程度指数、一个网络内福利指数和一个网络外福利指数。双变量分析研究了患者特征与这三个指数之间的关联。
从管理式医疗变量中,我们为健康计划的财务、利用管理和网络领域构建了三个以提供者为导向的指标。据此,我们构建了一个单一的管理程度指数,该指数与各个指标、领域指数、计划类型(按服务项目付费、优先提供者组织、服务点、健康维护组织)、当地专家的独立评估以及患者对其医疗保险态度的预期一致。对于福利,我们构建了一个网络内福利指数和一个网络外福利指数,它们与管理程度指数相关。研究患者的个人特征与管理式医疗和福利指数相关。参与管理程度更高计划的研究患者报告的健康状况比参与管理程度较低计划的患者略好。
可以根据公开可用信息构建健康计划的管理程度和福利指标。管理程度和福利指数与研究患者的个人特征和健康状况相关。讨论了管理式医疗和福利指数的潜在用途。