Cargando…
Reporting of Patient Experience Data on Health Systems’ Websites and Commercial Physician-Rating Websites: Mixed-Methods Analysis
BACKGROUND: Some hospitals’ and health systems’ websites report physician-level ratings and comments drawn from the Consumer Assessment of Healthcare Providers and Systems surveys. OBJECTIVE: The aim was to examine the prevalence and content of health system websites reporting these data and compare...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456827/ https://www.ncbi.nlm.nih.gov/pubmed/30916654 http://dx.doi.org/10.2196/12007 |
_version_ | 1783409818145390592 |
---|---|
author | Lagu, Tara Norton, Caroline M Russo, Lindsey M Priya, Aruna Goff, Sarah L Lindenauer, Peter K |
author_facet | Lagu, Tara Norton, Caroline M Russo, Lindsey M Priya, Aruna Goff, Sarah L Lindenauer, Peter K |
author_sort | Lagu, Tara |
collection | PubMed |
description | BACKGROUND: Some hospitals’ and health systems’ websites report physician-level ratings and comments drawn from the Consumer Assessment of Healthcare Providers and Systems surveys. OBJECTIVE: The aim was to examine the prevalence and content of health system websites reporting these data and compare narratives from these sites to narratives from commercial physician-rating sites. METHODS: We identified health system websites active between June 1 and 30, 2016, that posted clinician reviews. For 140 randomly selected clinicians, we extracted the number of star ratings and narrative comments. We conducted a qualitative analysis of a random sample of these physicians’ narrative reviews and compared these to a random sample of reviews from commercial physician-rating websites. We described composite quantitative scores for sampled physicians and compared the frequency of themes between reviews drawn from health systems’ and commercial physician-rating websites. RESULTS: We identified 42 health systems that published composite star ratings (42/42, 100%) or narratives (33/42, 79%). Most (27/42, 64%) stated that they excluded narratives deemed offensive. Of 140 clinicians, the majority had composite scores listed (star ratings: 122/140, 87.1%; narrative reviews: 114/140, 81.4%), with medians of 110 star ratings (IQR 42-175) and 25.5 (IQR 13-48) narratives. The rating median was 4.8 (IQR 4.7-4.9) out of five stars, and no clinician had a score less than 4.2. Compared to commercial physician-rating websites, we found significantly fewer negative comments on health system websites (35.5%, 76/214 vs 12.8%, 72/561, respectively; P<.001). CONCLUSIONS: The lack of variation in star ratings on health system sites may make it difficult to differentiate between clinicians. Most health systems report that they remove offensive comments, and we notably found fewer negative comments on health system websites compared to commercial physician-rating sites. |
format | Online Article Text |
id | pubmed-6456827 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-64568272019-04-26 Reporting of Patient Experience Data on Health Systems’ Websites and Commercial Physician-Rating Websites: Mixed-Methods Analysis Lagu, Tara Norton, Caroline M Russo, Lindsey M Priya, Aruna Goff, Sarah L Lindenauer, Peter K J Med Internet Res Original Paper BACKGROUND: Some hospitals’ and health systems’ websites report physician-level ratings and comments drawn from the Consumer Assessment of Healthcare Providers and Systems surveys. OBJECTIVE: The aim was to examine the prevalence and content of health system websites reporting these data and compare narratives from these sites to narratives from commercial physician-rating sites. METHODS: We identified health system websites active between June 1 and 30, 2016, that posted clinician reviews. For 140 randomly selected clinicians, we extracted the number of star ratings and narrative comments. We conducted a qualitative analysis of a random sample of these physicians’ narrative reviews and compared these to a random sample of reviews from commercial physician-rating websites. We described composite quantitative scores for sampled physicians and compared the frequency of themes between reviews drawn from health systems’ and commercial physician-rating websites. RESULTS: We identified 42 health systems that published composite star ratings (42/42, 100%) or narratives (33/42, 79%). Most (27/42, 64%) stated that they excluded narratives deemed offensive. Of 140 clinicians, the majority had composite scores listed (star ratings: 122/140, 87.1%; narrative reviews: 114/140, 81.4%), with medians of 110 star ratings (IQR 42-175) and 25.5 (IQR 13-48) narratives. The rating median was 4.8 (IQR 4.7-4.9) out of five stars, and no clinician had a score less than 4.2. Compared to commercial physician-rating websites, we found significantly fewer negative comments on health system websites (35.5%, 76/214 vs 12.8%, 72/561, respectively; P<.001). CONCLUSIONS: The lack of variation in star ratings on health system sites may make it difficult to differentiate between clinicians. Most health systems report that they remove offensive comments, and we notably found fewer negative comments on health system websites compared to commercial physician-rating sites. JMIR Publications 2019-03-27 /pmc/articles/PMC6456827/ /pubmed/30916654 http://dx.doi.org/10.2196/12007 Text en ©Tara Lagu, Caroline M Norton, Lindsey M Russo, Aruna Priya, Sarah L Goff, Peter K Lindenauer. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 27.03.2019. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Lagu, Tara Norton, Caroline M Russo, Lindsey M Priya, Aruna Goff, Sarah L Lindenauer, Peter K Reporting of Patient Experience Data on Health Systems’ Websites and Commercial Physician-Rating Websites: Mixed-Methods Analysis |
title | Reporting of Patient Experience Data on Health Systems’ Websites and Commercial Physician-Rating Websites: Mixed-Methods Analysis |
title_full | Reporting of Patient Experience Data on Health Systems’ Websites and Commercial Physician-Rating Websites: Mixed-Methods Analysis |
title_fullStr | Reporting of Patient Experience Data on Health Systems’ Websites and Commercial Physician-Rating Websites: Mixed-Methods Analysis |
title_full_unstemmed | Reporting of Patient Experience Data on Health Systems’ Websites and Commercial Physician-Rating Websites: Mixed-Methods Analysis |
title_short | Reporting of Patient Experience Data on Health Systems’ Websites and Commercial Physician-Rating Websites: Mixed-Methods Analysis |
title_sort | reporting of patient experience data on health systems’ websites and commercial physician-rating websites: mixed-methods analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456827/ https://www.ncbi.nlm.nih.gov/pubmed/30916654 http://dx.doi.org/10.2196/12007 |
work_keys_str_mv | AT lagutara reportingofpatientexperiencedataonhealthsystemswebsitesandcommercialphysicianratingwebsitesmixedmethodsanalysis AT nortoncarolinem reportingofpatientexperiencedataonhealthsystemswebsitesandcommercialphysicianratingwebsitesmixedmethodsanalysis AT russolindseym reportingofpatientexperiencedataonhealthsystemswebsitesandcommercialphysicianratingwebsitesmixedmethodsanalysis AT priyaaruna reportingofpatientexperiencedataonhealthsystemswebsitesandcommercialphysicianratingwebsitesmixedmethodsanalysis AT goffsarahl reportingofpatientexperiencedataonhealthsystemswebsitesandcommercialphysicianratingwebsitesmixedmethodsanalysis AT lindenauerpeterk reportingofpatientexperiencedataonhealthsystemswebsitesandcommercialphysicianratingwebsitesmixedmethodsanalysis |