Evidence map›Paper›PMID 42412781›Full record

ArticlePloS one2026

Exploring the association between patient satisfaction and hospital quality in the United States.

Sora Kang, Huazhi Liu, Charles Ledonio, Darwin Ang

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sora KangFlorida State University College of Medicine, Tallahassee, Florida, United States of America.ORCID https://orcid.org/0009-0001-5076-299X
Huazhi LiuHCA Florida Ocala Hospital, Ocala, Florida, United States of America.
Charles LedonioUniversity of Central Florida, Orlando, Florida, United States of America.
Darwin AngFlorida State University College of Medicine, Tallahassee, Florida, United States of America.ORCID https://orcid.org/0000-0001-6165-6052

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient experience is increasingly used as a public quality metric, but its relationship to hospital safety grades remains incompletely characterized because patient reported experience and technical safety measures capture different dimensions of care.

methodsWe performed a retrospective cross-sectional analysis of publicly available hospital level data from 2023. Leapfrog Hospital Safety Grades were linked with Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) patient experience scores. The linked dataset included 1,442 U.S. hospitals; 1,390 hospitals with letter grades A through F were included in grade stratified and regression analyses. HCAHPS domains were analyzed on a 1-5 scale, with higher scores indicating more favorable patient reported experience. One way ANOVA compared mean HCAHPS scores across Leapfrog grades. Multivariable logistic regression with hospital size adjustment evaluated HCAHPS domains associated with Leapfrog Grade A versus grades B through F.

resultsMean HCAHPS domain scores declined across most domains as Leapfrog grades worsened from A to F. In multivariable analysis, nurse communication was associated with higher odds of receiving a Grade A safety rating (odds ratio [OR] 1.54, 95% confidence interval [CI] 1.11 to 2.13; p = 0.01), as was the hospital recommendation score (OR 1.54, 95% CI 1.15 to 2.06; p = 0.004). Doctor communication showed an inverse conditional association (OR 0.75, 95% CI 0.59 to 0.97; p = 0.03). Other HCAHPS domains were not independently associated with Grade A after adjustment.

conclusionsHospitals with higher Leapfrog safety grades generally had more favorable patient reported experience scores, and nurse communication and hospital recommendation were the most clinically interpretable independent predictors of Grade A status. The inverse association for doctor communication should be interpreted cautiously because HCAHPS domains are correlated and the analysis used hospital level cross-sectional data. These findings support the complementary role of patient experience in hospital quality assessment but do not establish causality.

Indexed as

HospitalsPatient SatisfactionQuality of Health CareCommunicationCross-Sectional StudiesHumansNurse-Patient RelationsPhysician-Patient RelationsRetrospective StudiesSafetyUnited States

Identifiers

PMID42412781
PMCPMC13340772

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.