Evidence map›Paper›PMID 38302814›Full record

ArticleJournal of general internal medicine2024

Differential Effect of Patient- and Provider-Level Factors on Patient Satisfaction Scores in Academic General Internal Medicine Clinics.

Aprill Z Dawson, Laura Hawks, Rebekah J Walker, Leonard E Egede

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
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

4 authors at 1 institution in 1 country.

Aprill Z DawsonDivision of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Laura HawksDivision of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Rebekah J WalkerDivision of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Leonard E EgedeDivision of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA. legede@mcw.edu.ORCID 0000-0003-1546-1515
Medical College of Wisconsin · US

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
MANAGe-DM: novel nurse case management to improve diabetes outcomes in Black men recently released from incarcerationK23DK132505 · NIDDK · MEDICAL COLLEGE OF WISCONSIN · PI Laura C. Hawks · 2023 to 2026
$714k
American Diabetes Association 11-22-JDFHD-01NIDDK NIH HHS K23DK132505NIDDK NIH HHS R01DK118038NIDDK NIH HHS R01DK120861NIMHD NIH HHS R01MD013826
6 · The paper itself

Abstract

objectiveDetermine whether patient-level or provider-level factors have greater influence on patient satisfaction scores in an academic general internal medicine clinic.

methodsTwo years of data (2017-2019) from the Clinician and Group Consumer Assessment of Healthcare Providers and Systems (CGCAHPS) surveys from ambulatory internal medicine clinic visits in an academic health center located in the Midwest United States were used. Patient satisfaction was measured using the overall provider satisfaction score (0-10), dichotomized with 9-10 defined as satisfactory and 0-8 as unsatisfactory. Provider-level independent variables included age, sex, race/ethnicity, provider type, service type, clinical effort, academic rank, and years since graduation. Patient-level factors included age, sex, race/ethnicity, education, and Epic Risk Score. Generalized mixed-effects logistic regression models were used to investigate associations between top-box satisfaction score and patient- and provider-level factors, accounting for the nesting of patients within providers.

resultsThirty-three providers and 4597 patients were included in the analysis. Male providers (OR, 1.57; 95% CI, 1.00, 2.47), minority group 2 (OR, 3.54; 95% CI, 1.24, 10.07) and minority group 3 (OR, 6.04; 95% CI, 1.45, 25.12), faculty (OR, 3.83; 95% CI, 1.56, 9.36), and primary care providers (OR, 5.60; 95% CI, 1.62, 19.34) had increased odds of having a top-box rating compared with females, minority group 1, advanced practice providers, and perioperative providers respectively. Age was the only patient independent correlate of top-box rating with a 3% increased odds of top-box rating for every year increase in age (OR, 1.03; 95% CI 1.02, 1.03).

conclusionsIn this academic general internal medicine clinic, top-box satisfaction scores were more strongly associated with provider-level factors, including provider race/ethnicity, provider type, and service type, as opposed to patient-level factors. Further research is needed to confirm these findings and identify potential system-level interventions.

Indexed as

Academic Medical CentersInternal MedicinePatient SatisfactionAdultAgedAmbulatory Care FacilitiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesCGCAHPSpatient experiencepatient factorspatient satisfactionprovider factorsquality of carevalue-based care

Identifiers

PMID38302814
PMCPMC11347540
OpenAlexW4391426171

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.