Evidence map›Paper›PMID 33207156›Full record

Observational studyThe western journal of emergency medicine2020

Patient Age, Race and Emergency Department Treatment Area Associated with "Topbox" Press Ganey Scores.

Moon O Lee, Jonathan Altamirano, Luis C Garcia, Michael A Gisondi, N Ewen Wang, Suzanne Lippert, Yvonne Maldonado, Laleh Gharahbaghian, Ryan Ribeira, Magali Fassiotto

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in The western journal of emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
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  6. Health care heroes?Journal of the American College of Emergency Physicians open · 2021
    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

10 authors at 3 institutions in 1 country.

Moon O LeeStanford University School of Medicine, Department of Emergency Medicine, Stanford, California.
Jonathan AltamiranoStanford University School of Medicine, Office of Faculty Development and Diversity, Stanford, California.
Luis C GarciaStanford University School of Medicine, Office of Faculty Development and Diversity, Stanford, California.
Michael A GisondiStanford University School of Medicine, Department of Emergency Medicine, Stanford, California.
N Ewen WangStanford University School of Medicine, Department of Emergency Medicine, Stanford, California.
Suzanne LippertKaiser-Permanente East Bay, Department of Emergency Medicine, Oakland, California.
Yvonne MaldonadoStanford University School of Medicine, Office of Faculty Development and Diversity, Stanford, California.
Laleh GharahbaghianStanford University School of Medicine, Department of Emergency Medicine, Stanford, California.
Ryan RibeiraStanford University School of Medicine, Department of Emergency Medicine, Stanford, California.
Magali FassiottoStanford University School of Medicine, Office of Faculty Development and Diversity, Stanford, California.
Stanford University · USKaiser Permanente · USOffice of Diversity and Inclusion · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHospitals commonly use Press Ganey (PG) patient satisfaction surveys for benchmarking physician performance. PG scores range from 1 to 5, with 5 being the highest, which is known as the "topbox" score. Our objective was to identify patient and physician factors associated with topbox PG scores in the emergency department (ED).

methodsWe looked at PG surveys from January 2015-December 2017 at an academic, urban hospital with 78,000 ED visits each year. Outcomes were topbox scores for the questions: "Likelihood of your recommending our ED to others"; and "Courtesy of the doctor." We analyzed topbox scores using generalized estimating equation models clustered by physician and adjusted for patient and physician factors. Patient factors included age, gender, race, ethnicity, and ED area where patient was seen. The ED has four areas based on patient acuity: emergent; urgent; vertical (urgent but able to sit in a recliner rather than a gurney); and fast track (non-urgent). Physician factors included age, gender, race, ethnicity, and number of years at current institution.

resultsWe analyzed a total of 3,038 surveys. For "Likelihood of your recommending our ED to others," topbox scores were more likely with increasing patient age (odds ratio [OR] 1.07; 95% confidence interval [CI], 1.03-1.12); less likely among female compared to male patients (OR 0.81; 95% CI, 0.70-0.93); less likely among Asian compared to White patients (OR 0.71; 95% CI, 0.60-0.83); and less likely in the urgent (OR 0.71; 95% CI, 0.54-0.93) and vertical areas (OR 0.71; 95% CI 0.53-0.95) compared to fast track. For "Courtesy of the doctor," topbox scores were more likely with increasing patient age (OR 1.1; CI, 1.06-1.14); less likely among Asian (OR 0.70; 95% CI, 0.58-0.84), Black (OR 0.66; 95% CI, 0.45-0.96), and Hispanic patients (OR 0.68; 95% CI, 0.55-0.83) compared to White patients; and less likely in urgent area (OR 0.69; 95% CI, 0.50-0.95) compared to fast track.

conclusionIncreasing patient age was associated with increased likelihood of topbox scores, while Asian patients, and urgent and vertical areas had decreased likelihood of topbox scores. We encourage hospitals that use PG topbox scores as financial incentives to understand the contribution of non-service factors to these scores.

Indexed as

Racial GroupsAdolescentAdultAgedAged, 80 and overAge DistributionEmergenciesEmergency Service, HospitalEmergency TreatmentFemaleHumansMaleMiddle AgedOdds RatioPatient SatisfactionPhysicians

Identifiers

PMID33207156
PMCPMC7673899
OpenAlexW3097339113

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.