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首页> 外文期刊>Medical care >Adjusting Pediatric Consumer Assessment of Health Plans Study (CAHPS) Scores to Ensure Fair Comparison of Health Plan Performances.
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Adjusting Pediatric Consumer Assessment of Health Plans Study (CAHPS) Scores to Ensure Fair Comparison of Health Plan Performances.

机译:调整小儿消费者健康计划研究评估(CAHPS)分数,以确保公平比较健康计划的绩效。

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摘要

OBJECTIVES:: When comparing the scores from Consumer Assessment of Health Plans Study (CAHPS) surveys across health plans, it is important to adjust for patient characteristics (casemix) that are not under the control of the plan but that affect plan ratings. Our goal was to develop casemix models for pediatric CAHPS surveys. METHODS:: We analyzed responses to the pediatric CAHPS 2.0 surveys from 50,583 Medicaid beneficiaries and 43,579 persons with private health insurance. We identified patient characteristics with the most substantial impact on scores and assessed casemix models that include different combinations of adjusters. In addition, we tested whether casemix coefficients differed between the Medicaid and commercial samples and across health plans. RESULTS:: Parent age and education and child health status and race were important casemix adjustment variables for pediatric CAHPS surveys. Child age and gender had smaller effects. The relationship between patient characteristics and CAHPS scoreswas different in the Medicaid and commercial samples for some variables. The effects of a patient's characteristics on ratings and report scores were not consistent across Medicaid plans but more consistent for commercial plans. CONCLUSIONS:: Our analyses indicate that plan scores on the pediatric CAHPS survey should be adjusted for plan differences in casemix. Users should consider estimating separate models for Medicaid and commercially insured respondents. Such models should adjust for child health status, parent age, and parent education.
机译:目标:当比较整个健康计划的消费者健康计划研究评估(CAHPS)调查的分数时,重要的是要调整不受计划控制但会影响计划等级的患者特征(病例组合)。我们的目标是为儿科CAHPS调查开发案例混合模型。方法:我们分析了50583名医疗补助受益人和43579名拥有私人健康保险的人对儿科CAHPS 2.0调查的回答。我们确定了对分数影响最大的患者特征,并评估了包括不同调节剂组合的病例组合模型。此外,我们测试了医疗补助和商业样本之间以及整个健康计划中,病例混合系数是否存在差异。结果:父母的年龄和教育程度以及儿童的健康状况和种族是儿童CAHPS调查的重要病例组合调整变量。儿童年龄和性别影响较小。在医疗补助和商业样本中,对于某些变量,患者特征与CAHPS评分之间的关​​系有所不同。在医疗补助计划中,患者特征对评分和报告分数的影响不一致,而在商业计划中则更为一致。结论:我们的分析表明,针对儿童CAHPS调查的计划分数应针对病例混合中的计划差异进行调整。用户应考虑为医疗补助和商业保险的受访者分别估算模型。此类模型应针对儿童健康状况,父母年龄和父母受教育程度进行调整。

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