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A cross-sectional study assessing the association between online ratings and clinical quality of care measures for US hospitals: results from an observational study

BACKGROUND: Little is known about the usefulness of online ratings when searching for a hospital. We therefore assess the association between quantitative and qualitative online ratings for US hospitals and clinical quality of care measures. METHODS: First, we collected a stratified random sample of...

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Autores principales: Emmert, Martin, Meszmer, Nina, Schlesinger, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800028/
https://www.ncbi.nlm.nih.gov/pubmed/29402321
http://dx.doi.org/10.1186/s12913-018-2886-3
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author Emmert, Martin
Meszmer, Nina
Schlesinger, Mark
author_facet Emmert, Martin
Meszmer, Nina
Schlesinger, Mark
author_sort Emmert, Martin
collection PubMed
description BACKGROUND: Little is known about the usefulness of online ratings when searching for a hospital. We therefore assess the association between quantitative and qualitative online ratings for US hospitals and clinical quality of care measures. METHODS: First, we collected a stratified random sample of 1000 quantitative and qualitative online ratings for hospitals from the website RateMDs. We used an integrated iterative approach to develop a categorization scheme to capture both the topics and sentiment in the narrative comments. Next, we matched the online ratings with hospital-level quality measures published by the Centers for Medicare and Medicaid Services. Regarding nominally scaled measures, we checked for differences in the distribution among the online rating categories. For metrically scaled measures, we applied the Spearman rank coefficient of correlation. RESULTS: Thirteen of the twenty-nine quality of care measures were significantly associated with the quantitative online ratings (Spearman p = ±0.143, p < 0.05 for all). Thereof, eight associations indicated better clinical outcomes for better online ratings. Seven of the twenty-nine clinical measures were significantly associated with the sentiment of patient narratives (p = ±0.114, p < 0.05 for all), whereof four associations indicated worse clinical outcomes in more favorable narrative comments. CONCLUSIONS: There seems to be some association between quantitative online ratings and clinical performance measures. However, the relatively weak strength and inconsistency of the direction of the association as well as the lack of association with several other clinical measures may not enable the drawing of strong conclusions. Narrative comments also seem to have limited potential to reflect the clinical quality of care in its current form. Thus, online ratings are of limited usefulness in guiding patients towards high-performing hospitals from a clinical point of view. Nevertheless, patients might prefer different aspects of care when choosing a hospital. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-2886-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-58000282018-02-13 A cross-sectional study assessing the association between online ratings and clinical quality of care measures for US hospitals: results from an observational study Emmert, Martin Meszmer, Nina Schlesinger, Mark BMC Health Serv Res Research Article BACKGROUND: Little is known about the usefulness of online ratings when searching for a hospital. We therefore assess the association between quantitative and qualitative online ratings for US hospitals and clinical quality of care measures. METHODS: First, we collected a stratified random sample of 1000 quantitative and qualitative online ratings for hospitals from the website RateMDs. We used an integrated iterative approach to develop a categorization scheme to capture both the topics and sentiment in the narrative comments. Next, we matched the online ratings with hospital-level quality measures published by the Centers for Medicare and Medicaid Services. Regarding nominally scaled measures, we checked for differences in the distribution among the online rating categories. For metrically scaled measures, we applied the Spearman rank coefficient of correlation. RESULTS: Thirteen of the twenty-nine quality of care measures were significantly associated with the quantitative online ratings (Spearman p = ±0.143, p < 0.05 for all). Thereof, eight associations indicated better clinical outcomes for better online ratings. Seven of the twenty-nine clinical measures were significantly associated with the sentiment of patient narratives (p = ±0.114, p < 0.05 for all), whereof four associations indicated worse clinical outcomes in more favorable narrative comments. CONCLUSIONS: There seems to be some association between quantitative online ratings and clinical performance measures. However, the relatively weak strength and inconsistency of the direction of the association as well as the lack of association with several other clinical measures may not enable the drawing of strong conclusions. Narrative comments also seem to have limited potential to reflect the clinical quality of care in its current form. Thus, online ratings are of limited usefulness in guiding patients towards high-performing hospitals from a clinical point of view. Nevertheless, patients might prefer different aspects of care when choosing a hospital. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-2886-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-05 /pmc/articles/PMC5800028/ /pubmed/29402321 http://dx.doi.org/10.1186/s12913-018-2886-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Emmert, Martin
Meszmer, Nina
Schlesinger, Mark
A cross-sectional study assessing the association between online ratings and clinical quality of care measures for US hospitals: results from an observational study
title A cross-sectional study assessing the association between online ratings and clinical quality of care measures for US hospitals: results from an observational study
title_full A cross-sectional study assessing the association between online ratings and clinical quality of care measures for US hospitals: results from an observational study
title_fullStr A cross-sectional study assessing the association between online ratings and clinical quality of care measures for US hospitals: results from an observational study
title_full_unstemmed A cross-sectional study assessing the association between online ratings and clinical quality of care measures for US hospitals: results from an observational study
title_short A cross-sectional study assessing the association between online ratings and clinical quality of care measures for US hospitals: results from an observational study
title_sort cross-sectional study assessing the association between online ratings and clinical quality of care measures for us hospitals: results from an observational study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800028/
https://www.ncbi.nlm.nih.gov/pubmed/29402321
http://dx.doi.org/10.1186/s12913-018-2886-3
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