Women physicians receive lower Press Ganey patient satisfaction scores in a multicenter study of outpatient gynecology care.

Press Ganey gender bias gender in medicine gynecology outpatient care patient experience patient satisfaction patient survey women in medicine women physicians

Journal

American journal of obstetrics and gynecology
ISSN: 1097-6868
Titre abrégé: Am J Obstet Gynecol
Pays: United States
ID NLM: 0370476

Informations de publication

Date de publication:
09 2023
Historique:
received: 02 01 2023
revised: 17 05 2023
accepted: 09 06 2023
medline: 28 8 2023
pubmed: 18 6 2023
entrez: 17 6 2023
Statut: ppublish

Résumé

Emerging data suggest that patient satisfaction data are subject to inherent biases that negatively affect women physicians. This study aimed to describe the association between the Press Ganey patient satisfaction survey and physician gender in a multi-institutional study of outpatient gynecologic care. This was a multisite, observational, population-based survey study using the results of Press Ganey patient satisfaction surveys from 5 unrelated community-based and academic medical institutions with outpatient gynecology visits between January 2020 and April 2022. The primary outcome variable was the likelihood to recommend a physician, and individual survey responses served as the unit of analysis. Patient demographic data were collected through the survey, including self-reported age, gender, and race and ethnicity (categorized as White, Asian, or Underrepresented in Medicine, which groups together Black, Hispanic or LatinX, American Indian or Alaskan Native, and Hawaiian or Pacific Islander). Bivariate comparisons between demographics (physician gender, patient and physician age quartile, patient and physician race) and likelihood to recommend were assessed using generalized estimating equation models clustered by physician. Odds ratios, 95% confidence intervals, and P values for these analyses are reported, and results were considered statistically significant at P<.05. Analysis was performed using SAS, version 9.4 (SAS Institute Inc., Cary, NC). Data were obtained from 15,184 surveys for 130 physicians. Most physicians were women (n=95 [73%]) and White (n=98 [75%]), and patients were also predominantly White (n=10,495 [69%]). A little over half of all visits were race-concordant, meaning that both patient and physician reported the same race (57%). Women physicians were less likely to receive a topbox survey score (74% vs 77%) and in the multivariate model had 19% lower odds of receiving a topbox score (95% confidence interval, 0.69-0.95). Patient age had a statistically significant relationship with score, with patients aged ≥63 years having >3-fold increase in odds of providing a topbox score (odds ratio, 3.10; 95% confidence interval, 2.12-4.52) compared with the youngest patients. After adjustment, patient and physician race and ethnicity showed similar effects on the odds of a topbox likelihood-to-recommend score, with Asian physicians and Asian patients having lower odds of a topbox likelihood-to-recommend score when compared with White physicians and patients (odds ratio: 0.89 [95% confidence interval, 0.81-0.98] and 0.62 [95% confidence interval, 0.48-0.79], respectively). Underrepresented in medicine physicians and patients showed significantly increased odds of a topbox likelihood-to-recommend score (odds ratio: 1.27 [95% confidence interval, 1.21-1.33] and 1.03 [95% confidence interval, 1.01-1.06], respectively). The physician age quartile was not significantly associated with odds of a topbox likelihood-to-recommend score. Women gynecologists were 18% less likely to receive top patient satisfaction scores compared with men in this multisite, population-based survey study using the results of Press Ganey patient satisfaction surveys. The results of these questionnaires should be adjusted for bias given that they provide data currently being used to understand patient-centered care.

Sections du résumé

BACKGROUND
Emerging data suggest that patient satisfaction data are subject to inherent biases that negatively affect women physicians.
OBJECTIVE
This study aimed to describe the association between the Press Ganey patient satisfaction survey and physician gender in a multi-institutional study of outpatient gynecologic care.
STUDY DESIGN
This was a multisite, observational, population-based survey study using the results of Press Ganey patient satisfaction surveys from 5 unrelated community-based and academic medical institutions with outpatient gynecology visits between January 2020 and April 2022. The primary outcome variable was the likelihood to recommend a physician, and individual survey responses served as the unit of analysis. Patient demographic data were collected through the survey, including self-reported age, gender, and race and ethnicity (categorized as White, Asian, or Underrepresented in Medicine, which groups together Black, Hispanic or LatinX, American Indian or Alaskan Native, and Hawaiian or Pacific Islander). Bivariate comparisons between demographics (physician gender, patient and physician age quartile, patient and physician race) and likelihood to recommend were assessed using generalized estimating equation models clustered by physician. Odds ratios, 95% confidence intervals, and P values for these analyses are reported, and results were considered statistically significant at P<.05. Analysis was performed using SAS, version 9.4 (SAS Institute Inc., Cary, NC).
RESULTS
Data were obtained from 15,184 surveys for 130 physicians. Most physicians were women (n=95 [73%]) and White (n=98 [75%]), and patients were also predominantly White (n=10,495 [69%]). A little over half of all visits were race-concordant, meaning that both patient and physician reported the same race (57%). Women physicians were less likely to receive a topbox survey score (74% vs 77%) and in the multivariate model had 19% lower odds of receiving a topbox score (95% confidence interval, 0.69-0.95). Patient age had a statistically significant relationship with score, with patients aged ≥63 years having >3-fold increase in odds of providing a topbox score (odds ratio, 3.10; 95% confidence interval, 2.12-4.52) compared with the youngest patients. After adjustment, patient and physician race and ethnicity showed similar effects on the odds of a topbox likelihood-to-recommend score, with Asian physicians and Asian patients having lower odds of a topbox likelihood-to-recommend score when compared with White physicians and patients (odds ratio: 0.89 [95% confidence interval, 0.81-0.98] and 0.62 [95% confidence interval, 0.48-0.79], respectively). Underrepresented in medicine physicians and patients showed significantly increased odds of a topbox likelihood-to-recommend score (odds ratio: 1.27 [95% confidence interval, 1.21-1.33] and 1.03 [95% confidence interval, 1.01-1.06], respectively). The physician age quartile was not significantly associated with odds of a topbox likelihood-to-recommend score.
CONCLUSION
Women gynecologists were 18% less likely to receive top patient satisfaction scores compared with men in this multisite, population-based survey study using the results of Press Ganey patient satisfaction surveys. The results of these questionnaires should be adjusted for bias given that they provide data currently being used to understand patient-centered care.

Identifiants

pubmed: 37330126
pii: S0002-9378(23)00415-5
doi: 10.1016/j.ajog.2023.06.023
pii:
doi:

Types de publication

Observational Study Multicenter Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

304.e1-304.e9

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Auteurs

Lisa J Rogo-Gupta (LJ)

Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA. Electronic address: lrgupta@stanford.edu.

Jonathan Altamirano (J)

Office of Faculty Development and Diversity, Stanford University School of Medicine, Stanford, CA.

Laura N Homewood (LN)

Department of Obstetrics and Gynecology, University of Virginia, Charlottesville, VA.

Nicole M Donnellan (NM)

Department of Obstetrics and Gynecology, UPMC Magee-Womens Hospital, Pittsburgh, PA.

Shana Miles (S)

Department of Obstetrics and Gynecology, UPMC Magee-Womens Hospital, Pittsburgh, PA.

Mallory Stuparich (M)

Department of Obstetrics and Gynecology, University of California, Riverside, Riverside, CA.

Julia Salinaro (J)

Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC.

Deirdre Lum (D)

Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA.

Magali Fassiotto (M)

Office of Faculty Development and Diversity, Stanford University School of Medicine, Stanford, CA.

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