Gutacker, Nils orcid.org/0000-0002-2833-0621 and Street, Andrew David orcid.org/0000-0002-2540-0364 (2015) Multidimensional performance assessment using dominance criteria. Discussion Paper. CHE Research Paper . Centre for Health Economics, University of York , York, UK.
Abstract
Public sector organisations pursue multiple objectives and serve a number of stakeholders. But stakeholders are rarely explicit about the valuations they attach to different objectives, nor are these valuations likely to be identical. This complicates the assessment of their performance because no single set of weights can be legitimately chosen by regulators to aggregate outputs into unidimensional composite scores. We propose the use of dominance criteria in a multidimensional performance assessment framework to identify best practice and poor performance under relatively weak assumptions about stakeholders’ preferences. We estimate multivariate multilevel models to study providers of hip replacement surgery in the English NHS with respect to their performance in terms of length of stay, readmission rates, post-operative patient-reported health status and waiting time. We find substantial correlation between objectives and demonstrate that ignoring the correlation can lead to incorrect assessments of performance.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Keywords: | : Performance assessment, provider classification, multidimensional, multilevel modelling |
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: | 19 Sep 2018 09:40 |
Last Modified: | 25 Oct 2024 00:25 |
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:135885 |
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