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Case-mix adjustment of the National CAHPS benchmarking data 1.0: a violation of model assumptions?

机译:国家CAHPS基准数据1.0的案例混合调整:是否违反模型假设?

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摘要

OBJECTIVE: To compare models for the case-mix adjustment of consumer reports and ratings of health care. DATA SOURCES: The study used the Consumer Assessment of Health Plans (CAHPS) survey 1.0 National CAHPS Benchmarking Database data from 54 commercial and 31 Medicaid health plans from across the United States: 19,541 adults (age > or = 18 years) in commercial plans and 8,813 adults in Medicaid plans responded regarding their own health care, and 9,871 Medicaid adults responded regarding the health care of their minor children. STUDY DESIGN: Four case-mix models (no adjustment; self-rated health and age; health, age, and education; and health, age, education, and plan interactions) were compared on 21 ratings and reports regarding health care for three populations (adults in commercial plans, adults in Medicaid plans, and children in Medicaid plans). The magnitude of case-mix adjustments, the effects of adjustments on plan rankings, and the homogeneity of these effects across plans were examined. DATA EXTRACTION: All ratings and reports were linearly transformed to a possible range of 0 to 100 for comparability. PRINCIPAL FINDINGS: Case-mix adjusters, especially self-rated health, have substantial effects, but these effects vary substantially from plan to plan, a violation of standard case-mix assumptions. CONCLUSION: Case-mix adjustment of CAHPS data needs to be re-examined, perhaps by using demographically stratified reporting or by developing better measures of response bias.
机译:目的:比较消费者报告和医疗保健评级的病例组合调整模型。数据来源:该研究使用了美国健康计划消费者评估(CAHPS)调查1.0美国CAHPS基准数据库中来自美国54个商业和31个医疗补助健康计划的数据:19,541个成年人(年龄≥18岁)的商业计划和医疗补助计划中有8,813名成年人对自己的医疗保健做出了回应,而医疗补助计划中有9,871名成年人对未成年子女的保健做出了回应。研究设计:比较了四个病例组合模型(不进行调整;自我评估的健康和年龄;健康,年龄和教育程度;以及健康,年龄,教育和计划相互作用),对三个人群的21个健康护理评分和报告进行了比较(成人为商业计划,成人为Medicaid计划,儿童为Medicaid计划)。研究了病例组合调整的幅度,调整对计划排名的影响以及这些影响在计划之间的同质性。数据提取:为了可比性,所有评级和报告都线性转换为0到100的可能范围。主要发现:病例混合调整者,特别是自我评估的健康状况,具有重大影响,但是这些影响在计划之间有很大不同,这违反了标准病例混合假设。结论:CAHPS数据的病例混合调整需要重新检查,可能是通过使用人口统计学分层报告或通过开发更好的应对偏见度量。

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