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The association between Asian patient race/ethnicity and lower satisfaction scores

BACKGROUND: Patient satisfaction is increasingly being used to assess, and financially reward, provider performance. Previous studies suggest that race/ethnicity (R/E) may impact satisfaction, yet few practices adjust for patient R/E. The objective of this study is to examine R/E differences in pati...

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Autores principales: Liao, Lillian, Chung, Sukyung, Altamirano, Jonathan, Garcia, Luis, Fassiotto, Magali, Maldonado, Bonnie, Heidenreich, Paul, Palaniappan, Latha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374891/
https://www.ncbi.nlm.nih.gov/pubmed/32698825
http://dx.doi.org/10.1186/s12913-020-05534-6
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author Liao, Lillian
Chung, Sukyung
Altamirano, Jonathan
Garcia, Luis
Fassiotto, Magali
Maldonado, Bonnie
Heidenreich, Paul
Palaniappan, Latha
author_facet Liao, Lillian
Chung, Sukyung
Altamirano, Jonathan
Garcia, Luis
Fassiotto, Magali
Maldonado, Bonnie
Heidenreich, Paul
Palaniappan, Latha
author_sort Liao, Lillian
collection PubMed
description BACKGROUND: Patient satisfaction is increasingly being used to assess, and financially reward, provider performance. Previous studies suggest that race/ethnicity (R/E) may impact satisfaction, yet few practices adjust for patient R/E. The objective of this study is to examine R/E differences in patient satisfaction ratings and how these differences impact provider rankings. METHODS: Patient satisfaction survey data linked to electronic health records from two large outpatient centers in northern California – a non-profit organization of community-based clinics (Site A) and an academic medical center (Site B) – was collected and analyzed. Participants consisted of adult patients who received outpatient care at Site A from December 2010 to November 2014 and Site B from March 2013 to August 2014, and completed Press-Ganey Medical Practice Survey questionnaires (N = 216,392 (Site A) and 30,690 (Site B)). Self-reported non-Hispanic white (NHW), Black, Latino, and Asian patients were studied. For six questions each representing a survey subdomain, favorable ratings were defined as top-box (“very good”) compared to all other categories (“very poor,” “poor,” “fair,” and “good”). Using multivariable logistic regression with provider random effects, we assessed whether the likelihood of giving favorable ratings differed by patient R/E, adjusting for patient age and sex. RESULTS: Asian, younger and female patients provided less favorable ratings than other R/E, older and male patients. After adjustment, Asian patients were less likely than NHW patients to provide top-box ratings to the overall assessment question “likelihood of recommending this practice to others” (Site A: Asian predicted probability (PP) 0.680, 95% confidence interval (CI): 0.675–0.685 compared to NHW PP 0.820, 95% CI: 0.818–0.822; Site B: Asian PP 0.734, 95% CI: 0.733–0.736 compared to NHW PP 0.859, 95% CI: 0.859–0.859). The effect sizes for Asian R/E were greater than the effect sizes for older age and female sex. An absolute 3% decrease in mean composite score between providers serving different percentages of Asian patients translated to an absolute 40% drop in national ranking. CONCLUSIONS: Patient satisfaction scores may need to be adjusted for patient R/E, particularly for providers caring for high panel percentages of Asian patients.
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spelling pubmed-73748912020-07-22 The association between Asian patient race/ethnicity and lower satisfaction scores Liao, Lillian Chung, Sukyung Altamirano, Jonathan Garcia, Luis Fassiotto, Magali Maldonado, Bonnie Heidenreich, Paul Palaniappan, Latha BMC Health Serv Res Research Article BACKGROUND: Patient satisfaction is increasingly being used to assess, and financially reward, provider performance. Previous studies suggest that race/ethnicity (R/E) may impact satisfaction, yet few practices adjust for patient R/E. The objective of this study is to examine R/E differences in patient satisfaction ratings and how these differences impact provider rankings. METHODS: Patient satisfaction survey data linked to electronic health records from two large outpatient centers in northern California – a non-profit organization of community-based clinics (Site A) and an academic medical center (Site B) – was collected and analyzed. Participants consisted of adult patients who received outpatient care at Site A from December 2010 to November 2014 and Site B from March 2013 to August 2014, and completed Press-Ganey Medical Practice Survey questionnaires (N = 216,392 (Site A) and 30,690 (Site B)). Self-reported non-Hispanic white (NHW), Black, Latino, and Asian patients were studied. For six questions each representing a survey subdomain, favorable ratings were defined as top-box (“very good”) compared to all other categories (“very poor,” “poor,” “fair,” and “good”). Using multivariable logistic regression with provider random effects, we assessed whether the likelihood of giving favorable ratings differed by patient R/E, adjusting for patient age and sex. RESULTS: Asian, younger and female patients provided less favorable ratings than other R/E, older and male patients. After adjustment, Asian patients were less likely than NHW patients to provide top-box ratings to the overall assessment question “likelihood of recommending this practice to others” (Site A: Asian predicted probability (PP) 0.680, 95% confidence interval (CI): 0.675–0.685 compared to NHW PP 0.820, 95% CI: 0.818–0.822; Site B: Asian PP 0.734, 95% CI: 0.733–0.736 compared to NHW PP 0.859, 95% CI: 0.859–0.859). The effect sizes for Asian R/E were greater than the effect sizes for older age and female sex. An absolute 3% decrease in mean composite score between providers serving different percentages of Asian patients translated to an absolute 40% drop in national ranking. CONCLUSIONS: Patient satisfaction scores may need to be adjusted for patient R/E, particularly for providers caring for high panel percentages of Asian patients. BioMed Central 2020-07-22 /pmc/articles/PMC7374891/ /pubmed/32698825 http://dx.doi.org/10.1186/s12913-020-05534-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Liao, Lillian
Chung, Sukyung
Altamirano, Jonathan
Garcia, Luis
Fassiotto, Magali
Maldonado, Bonnie
Heidenreich, Paul
Palaniappan, Latha
The association between Asian patient race/ethnicity and lower satisfaction scores
title The association between Asian patient race/ethnicity and lower satisfaction scores
title_full The association between Asian patient race/ethnicity and lower satisfaction scores
title_fullStr The association between Asian patient race/ethnicity and lower satisfaction scores
title_full_unstemmed The association between Asian patient race/ethnicity and lower satisfaction scores
title_short The association between Asian patient race/ethnicity and lower satisfaction scores
title_sort association between asian patient race/ethnicity and lower satisfaction scores
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374891/
https://www.ncbi.nlm.nih.gov/pubmed/32698825
http://dx.doi.org/10.1186/s12913-020-05534-6
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