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Profiling quality of care: Is there a role for peer review?
BACKGROUND: We sought to develop a more reliable structured implicit chart review instrument for use in assessing the quality of care for chronic disease and to examine if ratings are more reliable for conditions in which the evidence base for practice is more developed. METHODS: We conducted a reli...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2004
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC434524/ https://www.ncbi.nlm.nih.gov/pubmed/15151701 http://dx.doi.org/10.1186/1472-6963-4-9 |
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author | Hofer, Timothy P Asch, Steven M Hayward, Rodney A Rubenstein, Lisa V Hogan, Mary M Adams, John Kerr, Eve A |
author_facet | Hofer, Timothy P Asch, Steven M Hayward, Rodney A Rubenstein, Lisa V Hogan, Mary M Adams, John Kerr, Eve A |
author_sort | Hofer, Timothy P |
collection | PubMed |
description | BACKGROUND: We sought to develop a more reliable structured implicit chart review instrument for use in assessing the quality of care for chronic disease and to examine if ratings are more reliable for conditions in which the evidence base for practice is more developed. METHODS: We conducted a reliability study in a cohort with patient records including both outpatient and inpatient care as the objects of measurement. We developed a structured implicit review instrument to assess the quality of care over one year of treatment. 12 reviewers conducted a total of 496 reviews of 70 patient records selected from 26 VA clinical sites in two regions of the country. Each patient had between one and four conditions specified as having a highly developed evidence base (diabetes and hypertension) or a less developed evidence base (chronic obstructive pulmonary disease or a collection of acute conditions). Multilevel analysis that accounts for the nested and cross-classified structure of the data was used to estimate the signal and noise components of the measurement of quality and the reliability of implicit review. RESULTS: For COPD and a collection of acute conditions the reliability of a single physician review was quite low (intra-class correlation = 0.16–0.26) but comparable to most previously published estimates for the use of this method in inpatient settings. However, for diabetes and hypertension the reliability is significantly higher at 0.46. The higher reliability is a result of the reviewers collectively being able to distinguish more differences in the quality of care between patients (p < 0.007) and not due to less random noise or individual reviewer bias in the measurement. For these conditions the level of true quality (i.e. the rating of quality of care that would result from the full population of physician reviewers reviewing a record) varied from poor to good across patients. CONCLUSIONS: For conditions with a well-developed quality of care evidence base, such as hypertension and diabetes, a single structured implicit review to assess the quality of care over a period of time is moderately reliable. This method could be a reasonable complement or alternative to explicit indicator approaches for assessing and comparing quality of care. Structured implicit review, like explicit quality measures, must be used more cautiously for illnesses for which the evidence base is less well developed, such as COPD and acute, short-course illnesses. |
format | Text |
id | pubmed-434524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-4345242004-06-25 Profiling quality of care: Is there a role for peer review? Hofer, Timothy P Asch, Steven M Hayward, Rodney A Rubenstein, Lisa V Hogan, Mary M Adams, John Kerr, Eve A BMC Health Serv Res Research Article BACKGROUND: We sought to develop a more reliable structured implicit chart review instrument for use in assessing the quality of care for chronic disease and to examine if ratings are more reliable for conditions in which the evidence base for practice is more developed. METHODS: We conducted a reliability study in a cohort with patient records including both outpatient and inpatient care as the objects of measurement. We developed a structured implicit review instrument to assess the quality of care over one year of treatment. 12 reviewers conducted a total of 496 reviews of 70 patient records selected from 26 VA clinical sites in two regions of the country. Each patient had between one and four conditions specified as having a highly developed evidence base (diabetes and hypertension) or a less developed evidence base (chronic obstructive pulmonary disease or a collection of acute conditions). Multilevel analysis that accounts for the nested and cross-classified structure of the data was used to estimate the signal and noise components of the measurement of quality and the reliability of implicit review. RESULTS: For COPD and a collection of acute conditions the reliability of a single physician review was quite low (intra-class correlation = 0.16–0.26) but comparable to most previously published estimates for the use of this method in inpatient settings. However, for diabetes and hypertension the reliability is significantly higher at 0.46. The higher reliability is a result of the reviewers collectively being able to distinguish more differences in the quality of care between patients (p < 0.007) and not due to less random noise or individual reviewer bias in the measurement. For these conditions the level of true quality (i.e. the rating of quality of care that would result from the full population of physician reviewers reviewing a record) varied from poor to good across patients. CONCLUSIONS: For conditions with a well-developed quality of care evidence base, such as hypertension and diabetes, a single structured implicit review to assess the quality of care over a period of time is moderately reliable. This method could be a reasonable complement or alternative to explicit indicator approaches for assessing and comparing quality of care. Structured implicit review, like explicit quality measures, must be used more cautiously for illnesses for which the evidence base is less well developed, such as COPD and acute, short-course illnesses. BioMed Central 2004-05-19 /pmc/articles/PMC434524/ /pubmed/15151701 http://dx.doi.org/10.1186/1472-6963-4-9 Text en Copyright © 2004 Hofer et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. |
spellingShingle | Research Article Hofer, Timothy P Asch, Steven M Hayward, Rodney A Rubenstein, Lisa V Hogan, Mary M Adams, John Kerr, Eve A Profiling quality of care: Is there a role for peer review? |
title | Profiling quality of care: Is there a role for peer review? |
title_full | Profiling quality of care: Is there a role for peer review? |
title_fullStr | Profiling quality of care: Is there a role for peer review? |
title_full_unstemmed | Profiling quality of care: Is there a role for peer review? |
title_short | Profiling quality of care: Is there a role for peer review? |
title_sort | profiling quality of care: is there a role for peer review? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC434524/ https://www.ncbi.nlm.nih.gov/pubmed/15151701 http://dx.doi.org/10.1186/1472-6963-4-9 |
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