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Design strategies and innovations in the medical expenditure panel survey.

机译:医疗支出面板调查中的设计策略和创新。

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BACKGROUND: Recent efforts to provide an annual profile of the health care quality of the nation's health care delivery system and to identify health care disparities in the population's access to and use of health care services have served to stimulate design innovations and content enhancements to the Medical Expenditure Panel Survey (MEPS). OBJECTIVES: To present a summary of the analytical objectives, design, and core content of the MEPS, and to provide an overview of the new and innovative design features that add capacity for health status and quality of care measurement and improve data quality. SUMMARY: The MEPS questionnaire has been expanded to include content taken from the Consumer Assessment of Health Plans Study (CAHPS) to facilitate assessments of patient experiences with health care at the national level. The survey now includes the series of questions from the SF-12 and the EuroQol 5D to improve the survey's capacity to measure health status. Additional condition-specific questions fordiabetes, asthma, high blood pressure, and heart disease were added to identify the health care services received for treatment and to determine whether the care received was consistent with practice guidelines. Sample design modifications are presented, with particular emphasis given to a summary of the recent sample size increase and resultant improvements in the precision of resultant survey estimates. Attention is also given to changes in survey design, estimation, and data collection strategies that improve data quality.
机译:背景:最近作出的关于提供国家医疗保健提供系统的医疗保健质量的年度概况以及查明人口在获得和使用医疗保健服务方面的医疗保健差距的努力,已刺激了医疗领域的设计创新和内容增强。支出面板调查(MEPS)。目标:概述MEPS的分析目标,设计和核心内容,并概述新的创新设计功能,这些功能可增加健康状况和护理测量质量并改善数据质量。摘要:MEPS问卷已进行扩展,包括从“健康计划消费者评估研究”(CAHPS)中获得的内容,以促进评估患者在国家一级的医疗保健经历。该调查现在包括来自SF-12和EuroQol 5D的一系列问题,以提高调查测量健康状况的能力。添加了针对糖尿病,哮喘,高血压和心脏病的其他特定条件问题,以识别接受治疗的医疗保健服务并确定接受的护理是否与实践指南一致。介绍了样本设计的修改,特别强调了最近样本数量增加的摘要以及由此产生的调查估计精度的改善。还应注意调查设计,估计和数据收集策略的变化,以提高数据质量。

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