Literature DB >> 30261085

Does Patient Experience Predict 30-Day Readmission? A Patient-Level Analysis of HCAHPS Data.

Zishan Siddiqui1, Stephen Berry2, Amanda Bertram3, Lisa Allen2, Erik Hoyer4, Nowella Durkin3, Rehan Qayyum5, Elizabeth Wick6, Peter Pronovost3, Daniel J Brotman3.   

Abstract

BACKGROUND: Hospital-level studies have found an inverse relationship between patient experience and readmissions. However, based on typical survey response time, it is unclear if patients are able to respond to surveys before they get readmitted and whether being readmitted might be a driver of poor experience scores (reverse causation).
OBJECTIVE: Using patient-level Hospital Consumer Assessment of Healthcare Providers and Systems (HCHAPS) and Press Ganey data to examine the relationship between readmissions and experience scores and to distinguish between patients who responded before or after a subsequent readmission.
DESIGN: Retrospective analysis of 10-year HCAHPS data.
SETTING: Single tertiary care academic hospital. PARTICIPANTS: Patients readmitted within 30 days of an index hospitalization who received an HCAHPS survey linked to index admission comprised the exposure group. This group was divided into those who responded prior to readmission and those who responded after readmission. Nonreadmitted patients comprised the control group. ANALYSIS: Multivariable-logistic regression to analyze the association between HCHAPS and Press Ganey scores and 30-readmission status, adjusted for patient factors.
RESULTS: Only 15.8% of the readmitted patients responded to the survey prior to readmission, and their scores were not significantly different from the nonreadmitted patients. The patients who responded after readmission were significantly more dissatisfied with physicians (doctors listened 73.0% vs 79.2%, aOR 0.75, P < .0001), staff responsiveness, (call button 50.0% vs 59.1%, aOR 0.71, P < .0001) pain control, discharge plan, noise, and cleanliness of the hospital.
CONCLUSIONS: Our findings suggest that poor patient experience may be due to being readmitted, rather than being predictive of readmission.
© 2018 Society of Hospital Medicine.

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Mesh:

Year:  2018        PMID: 30261085     DOI: 10.12788/jhm.3037

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.960


  7 in total

1.  ASSOCIATION RULES IN HEART FAILURE READMISSION RATES AND PATIENT EXPERIENCE SCORES.

Authors:  Braden Tabisula
Journal:  Perspect Health Inf Manag       Date:  2021-07-01

2.  A Multicomponent Intervention to Reduce Readmissions Among People With HIV.

Authors:  Ank E Nijhawan; Song Zhang; Matthieu Chansard; Ang Gao; Mamta K Jain; Ethan A Halm
Journal:  J Acquir Immune Defic Syndr       Date:  2022-06-01       Impact factor: 3.771

3.  Relationship Between HCAHPS Scores and Survey Response Rate Is Linked to Hospital Size.

Authors:  Larissa G Rodriguez-Homs; Bradley G Hammill; Marc D Ryser; Harry R Phillips; Paul J Mosca
Journal:  J Patient Exp       Date:  2020-06-22

Review 4.  Inpatient pharmacists using a readmission risk model in supporting discharge medication reconciliation to reduce unplanned hospital readmissions: a quality improvement intervention.

Authors:  David Gallagher; Maegan Greenland; Desirae Lindquist; Lisa Sadolf; Casey Scully; Kristian Knutsen; Congwen Zhao; Benjamin A Goldstein; Lindsey Burgess
Journal:  BMJ Open Qual       Date:  2022-03

5.  Relationship between patient experience and hospital readmission: system-level survey with deterministic data linkage method.

Authors:  Eliza Lai-Yi Wong; Chin-Man Poon; Annie Wai-Ling Cheung; Frank Youhua Chen; Eng-Kiong Yeoh
Journal:  BMC Med Res Methodol       Date:  2022-07-21       Impact factor: 4.612

6.  Measuring discharge quality based on elderly patients' experiences with discharge conversation: a cross-sectional study.

Authors:  Ranveig Marie Boge; Arvid Steinar Haugen; Roy Miodini Nilsen; Frøydis Bruvik; Stig Harthug
Journal:  BMJ Open Qual       Date:  2019-12-16

7.  Patient Satisfaction With Telemedicine During the COVID-19 Pandemic: Retrospective Cohort Study.

Authors:  Ashwin Ramaswamy; Miko Yu; Siri Drangsholt; Eric Ng; Patrick J Culligan; Peter N Schlegel; Jim C Hu
Journal:  J Med Internet Res       Date:  2020-09-09       Impact factor: 5.428

  7 in total

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