Evidence map›Paper›PMID 37628474›Full record

ArticleHealthcare (Basel, Switzerland)2023

Relationship between Satisfaction Scores and Racial/Ethnic and Sex Concordance in Primary Care.

Rebekah J Walker, Aprill Z Dawson, Abigail Thorgerson, Jennifer A Campbell, Sara Engel, Mandy Kastner, Leonard E Egede

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Rebekah J WalkerDivision of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.ORCID 0000-0002-7773-557X
Aprill Z DawsonDivision of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Abigail ThorgersonCenter for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Jennifer A CampbellDivision of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Sara EngelDepartment of Emergency Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Mandy KastnerDepartment of Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Leonard E EgedeDivision of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.ORCID 0000-0003-1546-1515

Funding

HOME DM-BAT: Home-based Diabetes-Modified Behavioral Activation Treatment for Low Income Seniors with T2DM Diversity SupplementR01DK118038 · NIDDK · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EGEDE, LEONARD E. · 2019 to 2023
$3.5M
Financial Incentives And Nurse Coaching to Enhance Diabetes Outcomes (FINANCE-DM) - Diversity SupplementR01DK120861 · NIDDK · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EGEDE, LEONARD E. · 2019 to 2023
$3.4M
Lowering the Impact of Food insecurity in African American Adults with Type 2 Diabetes Mellitus (LIFT-DM) - Diversity SupplementR01MD013826 · NIMHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EGEDE, LEONARD E., WALKER, REBEKAH J · 2019 to 2023
$3.4M
Technology Intensified Diabetes Education Study in AA with T2DM (TIDES)K24DK093699 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI EGEDE, LEONARD E. · 2011 to 2020
$1.5M
Conditional Cash Transfer Intervention to Improve Health Outcomes among Inner-City African Americans with T2DMK01DK131319 · NIDDK · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Jennifer Annette Campbell · 2022 to 2026
$682k
NIDDK NIH HHS K01 DK131319NIDDK NIH HHS K24DK093699NIDDK NIH HHS R01 DK118038NIDDK NIH HHS R01DK118038NIDDK NIH HHS R01 DK120861NIDDK NIH HHS R01DK120861NIMHD NIH HHS R01 MD013826
6 · The paper itself

Abstract

Racial/ethnic and sex concordance between patients and providers has been suggested as an important consideration in improving satisfaction and increasing health equity. We aimed to guide local efforts by understanding the relationship between satisfaction with care and patient-provider racial/ethnic and sex concordance within our academic medical center's primary care clinic.

methodsSatisfaction data for encounters from August 2016 to August 2019 were matched to data from the medical record for patient demographics and comorbidities. Data on 33 providers were also obtained, and racial/ethnic and sex concordance between patients and providers was determined for each of the 3672 unique encounters. The primary outcome was top-box scoring on the CGCAHPS overall satisfaction scale (0-8 vs. 9-10). Generalized mixed-effects logistic regression, including provider- and patient-level factors as fixed effects and a random intercept effect for providers, were used to determine whether concordance had an independent relationship with satisfaction.

results89.0% of the NHW-concordant pairs and 90.4% of the Minority Race/Ethnicity-concordant pairs indicated satisfaction, while 90.1% of the male-concordant and 85.1% of the female-concordant pairs indicated satisfaction. When fully adjusted, the female-concordant (OR = 0.58, 95% CI 0.35-0.94) and male-discordant (OR = 0.68, 95% CI 0.51-0.91) pairs reported significantly lower top-box satisfaction compared to the male-concordant pairs. Significant differences did not exist in racial/ethnic concordance.

conclusionsIn this sample, differences in sex concordance were noted; however, patient- and provider-level factors may be more influential in driving patient satisfaction than race/ethnicity in this health system.

Indexed as

concordanceprimary careracial/ethnicsatisfaction with caresex

Identifiers

PMID37628474
PMCPMC10454330

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.