Addressing Missing Data in Patient-Reported Outcome Measures (PROMS): Implications for the Use of PROMS for Comparing Provider Performance.
Addressing Missing Data in Patient-Reported Outcome Measures (PROMS): Implications for the Use of PROMS for Comparing Provider Performance.
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DOI：
10.1002/hec.3173
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发表时间：
2016-05
期刊：
影响因子：
2.1
通讯作者：
Street A
中科院分区：
文献类型：
--
作者：
Gomes M;Gutacker N;Bojke C;Street A
英国国家卫生服务体系现在定期收集患者报告的结局指标（PROM），并用于在高绩效薪酬计划中比较和奖励医院绩效。然而，PROM容易丢失数据。例如，医院通常无法在入院时进行术前问卷调查，或者患者可能拒绝参与或无法返回术后问卷。缺少PROM的一个关键问题是，具有完整信息的个人往往是每个提供者中不具代表性的患者样本，基于完整病例的推断将具有误导性。本研究提出了一种策略，以解决缺失的数据在英语PROM调查使用多重插补技术，并调查其对评估供应商的表现的影响。我们发现，相对供应商的性能推断是敏感的假设的原因缺失的数据。版权所有© 2015作者.出版社：John Wiley & Sons Ltd
Patient‐reported outcome measures (PROMs) are now routinely collected in the English National Health Service and used to compare and reward hospital performance within a high‐powered pay‐for‐performance scheme. However, PROMs are prone to missing data. For example, hospitals often fail to administer the pre‐operative questionnaire at hospital admission, or patients may refuse to participate or fail to return their post‐operative questionnaire. A key concern with missing PROMs is that the individuals with complete information tend to be an unrepresentative sample of patients within each provider and inferences based on the complete cases will be misleading. This study proposes a strategy for addressing missing data in the English PROM survey using multiple imputation techniques and investigates its impact on assessing provider performance. We find that inferences about relative provider performance are sensitive to the assumptions made about the reasons for the missing data. © 2015 The Authors. Health Economics Published by John Wiley & Sons Ltd.