Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Artículo Open Access |
| Pubblicazione: |
Wiley
2024
|
| Soggetti: | |
| Accesso online: | https://onlinelibrary.wiley.com/doi/10.1002/sim.10197 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1867020919773331456 |
|---|---|
| author | Kenneth J. Nieser Alex H. S. Harris |
| author_facet | Kenneth J. Nieser Alex H. S. Harris Kenneth J. Nieser Alex H. S. Harris |
| collection | Wiley Open Access |
| contents | Comparing methods for assessing the reliability of health care quality measures Kenneth J. Nieser Alex H. S. Harris Statistics in Medicine Quality measurement plays an increasing role in U.S. health care. Measures inform quality improvement efforts, public reporting of variations in quality of care across providers and hospitals, and high‐stakes financial decisions. To be meaningful in these contexts, measures should be reliable and not heavily impacted by chance variations in sampling or measurement. Several different methods are used in practice by measure developers and endorsers to evaluate reliability; however, there is uncertainty and debate over differences between these methods and their interpretations. We review methods currently used in practice, pointing out differences that can lead to disparate reliability estimates. We compare estimates from 14 different methods in the case of two sets of mental health quality measures within a large health system. We find that estimates can differ substantially and that these discrepancies widen when sample size is reduced. 10.1002/sim.10197 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| doi_str_mv | 10.1002/sim.10197 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_sim_10197 |
| institution | Wiley Open Access |
| license_str_mv | http://onlinelibrary.wiley.com/termsAndConditions#vor |
| publishDate | 2024 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Comparing methods for assessing the reliability of health care quality measures Kenneth J. Nieser Alex H. S. Harris Statistics in Medicine Comparing methods for assessing the reliability of health care quality measures Kenneth J. Nieser Alex H. S. Harris Statistics in Medicine Quality measurement plays an increasing role in U.S. health care. Measures inform quality improvement efforts, public reporting of variations in quality of care across providers and hospitals, and high‐stakes financial decisions. To be meaningful in these contexts, measures should be reliable and not heavily impacted by chance variations in sampling or measurement. Several different methods are used in practice by measure developers and endorsers to evaluate reliability; however, there is uncertainty and debate over differences between these methods and their interpretations. We review methods currently used in practice, pointing out differences that can lead to disparate reliability estimates. We compare estimates from 14 different methods in the case of two sets of mental health quality measures within a large health system. We find that estimates can differ substantially and that these discrepancies widen when sample size is reduced. 10.1002/sim.10197 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| title | Comparing methods for assessing the reliability of health care quality measures |
| topic | Statistics in Medicine |
| url | https://onlinelibrary.wiley.com/doi/10.1002/sim.10197 |