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(Dis)Incentivizing Patient Satisfaction Metrics: The Unintended Consequences of Institutional Bias

Background: Patient satisfaction surveys as a metric for quality-based financial incentives carry a risk of bias toward women and underrepresented physicians. Previous assessments in our department of medicine found that most women faculty were rated in the bottom quartile of patient satisfaction sc...

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Autores principales: Sotto-Santiago, Sylk, Slaven, James E., Rohr-Kirchgraber, Theresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6363594/
https://www.ncbi.nlm.nih.gov/pubmed/30729230
http://dx.doi.org/10.1089/heq.2018.0065
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author Sotto-Santiago, Sylk
Slaven, James E.
Rohr-Kirchgraber, Theresa
author_facet Sotto-Santiago, Sylk
Slaven, James E.
Rohr-Kirchgraber, Theresa
author_sort Sotto-Santiago, Sylk
collection PubMed
description Background: Patient satisfaction surveys as a metric for quality-based financial incentives carry a risk of bias toward women and underrepresented physicians. Previous assessments in our department of medicine found that most women faculty were rated in the bottom quartile of patient satisfaction scores, whereas analysis of scores for underrepresented physicians had not been performed. To investigate, we compared patient satisfaction scores and relevant demographics of faculty physicians during 1 year when quality-related financial incentives were offered based on this metric. Methods: Patient satisfaction and communication scores collected during academic year 2015–2016 were obtained for 369 physicians (119 women and 250 men) at Indiana University Health system. Independent variables included physician gender, race, ethnicity, and subspecialty or division; 190 physicians constituted the study cohort for whom data were available for comparison. Statistical analyses were performed to determine if there were differences between gender and race in patient satisfaction scores (mean, median, t-tests, and Chi-square tests). A factorial analysis of variance model was performed to incorporate both main effects and to determine if there was a significant interaction between them. Results: Median and mean of scores were lower for women physicians and underrepresented physicians. Analysis demonstrated nonsignificant effect between gender-segregated cohorts. Racially underrepresented physicians had significantly lower mean scores than their white colleagues [F(4, 185)=2.46, p=0.046]. Conclusion and Relevance: Our results indicate a significant difference in patient satisfaction scores between underrepresented and white physicians. These data may suggest a potential bias, among patients and institutional practices, ultimately leading to pay inequities through differences in financial incentives toward underrepresented physicians.
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spelling pubmed-63635942019-02-06 (Dis)Incentivizing Patient Satisfaction Metrics: The Unintended Consequences of Institutional Bias Sotto-Santiago, Sylk Slaven, James E. Rohr-Kirchgraber, Theresa Health Equity Original Article Background: Patient satisfaction surveys as a metric for quality-based financial incentives carry a risk of bias toward women and underrepresented physicians. Previous assessments in our department of medicine found that most women faculty were rated in the bottom quartile of patient satisfaction scores, whereas analysis of scores for underrepresented physicians had not been performed. To investigate, we compared patient satisfaction scores and relevant demographics of faculty physicians during 1 year when quality-related financial incentives were offered based on this metric. Methods: Patient satisfaction and communication scores collected during academic year 2015–2016 were obtained for 369 physicians (119 women and 250 men) at Indiana University Health system. Independent variables included physician gender, race, ethnicity, and subspecialty or division; 190 physicians constituted the study cohort for whom data were available for comparison. Statistical analyses were performed to determine if there were differences between gender and race in patient satisfaction scores (mean, median, t-tests, and Chi-square tests). A factorial analysis of variance model was performed to incorporate both main effects and to determine if there was a significant interaction between them. Results: Median and mean of scores were lower for women physicians and underrepresented physicians. Analysis demonstrated nonsignificant effect between gender-segregated cohorts. Racially underrepresented physicians had significantly lower mean scores than their white colleagues [F(4, 185)=2.46, p=0.046]. Conclusion and Relevance: Our results indicate a significant difference in patient satisfaction scores between underrepresented and white physicians. These data may suggest a potential bias, among patients and institutional practices, ultimately leading to pay inequities through differences in financial incentives toward underrepresented physicians. Mary Ann Liebert, Inc., publishers 2019-02-04 /pmc/articles/PMC6363594/ /pubmed/30729230 http://dx.doi.org/10.1089/heq.2018.0065 Text en © Sylk Sotto-Santiago et al. 2019; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Sotto-Santiago, Sylk
Slaven, James E.
Rohr-Kirchgraber, Theresa
(Dis)Incentivizing Patient Satisfaction Metrics: The Unintended Consequences of Institutional Bias
title (Dis)Incentivizing Patient Satisfaction Metrics: The Unintended Consequences of Institutional Bias
title_full (Dis)Incentivizing Patient Satisfaction Metrics: The Unintended Consequences of Institutional Bias
title_fullStr (Dis)Incentivizing Patient Satisfaction Metrics: The Unintended Consequences of Institutional Bias
title_full_unstemmed (Dis)Incentivizing Patient Satisfaction Metrics: The Unintended Consequences of Institutional Bias
title_short (Dis)Incentivizing Patient Satisfaction Metrics: The Unintended Consequences of Institutional Bias
title_sort (dis)incentivizing patient satisfaction metrics: the unintended consequences of institutional bias
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6363594/
https://www.ncbi.nlm.nih.gov/pubmed/30729230
http://dx.doi.org/10.1089/heq.2018.0065
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