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Women physicians receive lower Press Ganey patient satisfaction scores in a multicenter study of outpatient gynecology care.
Rogo-Gupta, Lisa J; Altamirano, Jonathan; Homewood, Laura N; Donnellan, Nicole M; Miles, Shana; Stuparich, Mallory; Salinaro, Julia; Lum, Deirdre; Fassiotto, Magali.
Afiliação
  • Rogo-Gupta LJ; Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA. Electronic address: lrgupta@stanford.edu.
  • Altamirano J; Office of Faculty Development and Diversity, Stanford University School of Medicine, Stanford, CA.
  • Homewood LN; Department of Obstetrics and Gynecology, University of Virginia, Charlottesville, VA.
  • Donnellan NM; Department of Obstetrics and Gynecology, UPMC Magee-Womens Hospital, Pittsburgh, PA.
  • Miles S; Department of Obstetrics and Gynecology, UPMC Magee-Womens Hospital, Pittsburgh, PA.
  • Stuparich M; Department of Obstetrics and Gynecology, University of California, Riverside, Riverside, CA.
  • Salinaro J; Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC.
  • Lum D; Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA.
  • Fassiotto M; Office of Faculty Development and Diversity, Stanford University School of Medicine, Stanford, CA.
Am J Obstet Gynecol ; 229(3): 304.e1-304.e9, 2023 09.
Article em En | MEDLINE | ID: mdl-37330126
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Médicas / Ginecologia Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies Limite: Female / Humans / Male Idioma: En Revista: Am J Obstet Gynecol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Médicas / Ginecologia Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies Limite: Female / Humans / Male Idioma: En Revista: Am J Obstet Gynecol Ano de publicação: 2023 Tipo de documento: Article