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The profile inter‐unit reliability
To assess the quality of health care, patient outcomes associated with medical providers (eg, dialysis facilities) are routinely monitored in order to identify poor (or excellent) provider performance. Given the high stakes of such evaluations for payment as well as public reporting of quality, it i...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7318309/ https://www.ncbi.nlm.nih.gov/pubmed/31642521 http://dx.doi.org/10.1111/biom.13167 |
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author | He, Kevin Dahlerus, Claudia Xia, Lu Li, Yanming Kalbfleisch, John D. |
author_facet | He, Kevin Dahlerus, Claudia Xia, Lu Li, Yanming Kalbfleisch, John D. |
author_sort | He, Kevin |
collection | PubMed |
description | To assess the quality of health care, patient outcomes associated with medical providers (eg, dialysis facilities) are routinely monitored in order to identify poor (or excellent) provider performance. Given the high stakes of such evaluations for payment as well as public reporting of quality, it is important to assess the reliability of quality measures. A commonly used metric is the inter‐unit reliability (IUR), which is the proportion of variation in the measure that comes from inter‐provider differences. Despite its wide use, however, the size of the IUR has little to do with the usefulness of the measure for profiling extreme outcomes. A large IUR can signal the need for further risk adjustment to account for differences between patients treated by different providers, while even measures with an IUR close to zero can be useful for identifying extreme providers. To address these limitations, we propose an alternative measure of reliability, which assesses more directly the value of a quality measure in identifying (or profiling) providers with extreme outcomes. The resulting metric reflects the extent to which the profiling status is consistent over repeated measurements. We use national dialysis data to examine this approach on various measures of dialysis facilities. |
format | Online Article Text |
id | pubmed-7318309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73183092020-06-29 The profile inter‐unit reliability He, Kevin Dahlerus, Claudia Xia, Lu Li, Yanming Kalbfleisch, John D. Biometrics Biometric Practice To assess the quality of health care, patient outcomes associated with medical providers (eg, dialysis facilities) are routinely monitored in order to identify poor (or excellent) provider performance. Given the high stakes of such evaluations for payment as well as public reporting of quality, it is important to assess the reliability of quality measures. A commonly used metric is the inter‐unit reliability (IUR), which is the proportion of variation in the measure that comes from inter‐provider differences. Despite its wide use, however, the size of the IUR has little to do with the usefulness of the measure for profiling extreme outcomes. A large IUR can signal the need for further risk adjustment to account for differences between patients treated by different providers, while even measures with an IUR close to zero can be useful for identifying extreme providers. To address these limitations, we propose an alternative measure of reliability, which assesses more directly the value of a quality measure in identifying (or profiling) providers with extreme outcomes. The resulting metric reflects the extent to which the profiling status is consistent over repeated measurements. We use national dialysis data to examine this approach on various measures of dialysis facilities. John Wiley and Sons Inc. 2019-11-10 2020-06 /pmc/articles/PMC7318309/ /pubmed/31642521 http://dx.doi.org/10.1111/biom.13167 Text en © 2019 The Authors. Biometrics published by Wiley Periodicals, Inc. on behalf of International Biometric Society This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Biometric Practice He, Kevin Dahlerus, Claudia Xia, Lu Li, Yanming Kalbfleisch, John D. The profile inter‐unit reliability |
title | The profile inter‐unit reliability |
title_full | The profile inter‐unit reliability |
title_fullStr | The profile inter‐unit reliability |
title_full_unstemmed | The profile inter‐unit reliability |
title_short | The profile inter‐unit reliability |
title_sort | profile inter‐unit reliability |
topic | Biometric Practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7318309/ https://www.ncbi.nlm.nih.gov/pubmed/31642521 http://dx.doi.org/10.1111/biom.13167 |
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