Evidence map›Paper›PMID 41664907›Full record

ArticleAnaesthesiology intensive therapy2026

Predictors of patient satisfaction with anesthesia using the Press Ganey patient satisfaction survey.

Dan Drzymalski, Evan Liu, Miki Calderon, Joseph Jung

Abstract read
In one paragraph

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Dan DrzymalskiDepartment of Anesthesiology and Perioperative Medicine, Tufts Medical Center, Boston, MA, USA.
Evan LiuTufts University School of Medicine, Boston, MA, USA.
Miki CalderonTufts University School of Medicine, Boston, MA, USA.
Joseph JungQuality and Patient Safety, Tufts Medical Center, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile patient satisfaction is a major marker of quality in healthcare, predictors of Press Ganey scores for anesthesia survey questions have not been well explored. This study aimed to explore factors associated with anesthesia-specific patient satisfaction scores. MATERIAL AND

methodsUnivariable and multivariable regression analyses were performed to identify predictors of percentile ranking on patient satisfaction questions. We conducted a retrospective analysis of the patient experiences with anesthesia at our institution. Three questions were added to the Press Ganey surveys: (1) rating of anesthesia services, (2) explanations provided by the anesthesiologists, (3) friendliness/courtesy of the anesthesiologist. A total of 3,218, 3,294, and 3,200 patients, respectively, answered the questions on a Likert scale. Covariates included attending anesthesiologist workload, number of comparator healthcare institutions, and season of year.

resultsLower percentile rank with rating of anesthesia services was associated with greater attending anesthesiologist workload (-13.7; 95% CI: -24.8 to -2.6; P = 0.017), season of year (-9.0; 95% CI: -16.2 to -1.8; P = 0.016), and smaller number of comparator healthcare institutions (2.4; 95% CI: 0.5 to 4.3; P = 0.015). Lower percentile rank with explanations provided by the anesthesiologists (0.7; 95% CI: 0.1 to 1.3; P = 0.021) and friendliness/courtesy of the anesthesiologist (0.9; 95% CI: 0.2 to 1.5; P = 0.008) were associated with decreasing number of comparator healthcare institutions.

conclusionsImproving patient satisfaction may require reduction or redistribution of anesthesiologist workload, improvement in resident communication skills, and increased supervision of junior residents. Anesthesia-specific patient satisfaction scores should be risk-adjusted for contextual factors such as seasonality, workload, and number of comparator institutions before being tied to payment.

Indexed as

AnesthesiaPatient SatisfactionAdultAnesthesiologistsFemaleHumansMaleMiddle AgedRetrospective StudiesSurveys and QuestionnairesWorkloadpatient satisfactionquality improvementquality measurement

Identifiers

PMID41664907
PMCPMC12969980

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.