Gomes, Manuel, Gutacker, Nils orcid.org/0000-0002-2833-0621, Bojke, Christopher orcid.org/0000-0003-2601-0314 et al. (1 more author) (2014) Addressing missing data in patient-reported outcome measures (PROMs): implications for comparing provider performance. Discussion Paper. CHE Research Paper . Centre for Health Economics, University of York , York, UK.
Abstract
Patient-reported outcome measures (PROMs) are now routinely collected in the English National Health Service (NHS) 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 PROMs 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.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Keywords: | Missing data,Multiple Imputation,Patient-reported outcome measures,Provider performance, Missing not at Random |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York) The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York) > CHE Research Papers (York) |
Depositing User: | Pure (York) |
Date Deposited: | 26 Sep 2018 08:20 |
Last Modified: | 16 Oct 2024 11:37 |
Status: | Published |
Publisher: | Centre for Health Economics, University of York |
Series Name: | CHE Research Paper |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:136103 |
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