Literature DB >> 28600452

Are Facebook user ratings associated with hospital cost, quality and patient satisfaction? A cross-sectional analysis of hospitals in New York State.

Lauren Campbell1, Yue Li1.   

Abstract

BACKGROUND: Hospital care costs are high while quality varies across hospitals. Patient satisfaction may be associated with better clinical quality, and social media ratings may offer another opportunity to measure patient satisfaction with care.
OBJECTIVES: To test if Facebook user ratings of hospitals are associated with existing measures of patient satisfaction, cost and quality. RESEARCH
DESIGN: Data were obtained from Centers for Medicare and Medicaid Services Hospital Compare, the Hospital Inpatient Prospective Payment System impact files and the Area Health Resource File for 2015. Information from hospitals' Facebook pages was collected in July 2016. Multivariate linear regression was used to test if there is an association between Facebook user ratings (star rating and adjusted number of 'likes') and Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) patient satisfaction measures, the 30-day all-cause readmission rate, and the Medicare spending per beneficiary (MSPB) ratio.
SUBJECTS: One hundred and thirty-six acute care hospitals in New York State in 2015.
RESULTS: An increase in the Facebook star rating is associated with significant increases in 21/23 HCAHPS measures (p≤0.003). An increase in the adjusted number of 'likes' is associated with very small increases in 3/23 HCAHPS measures (p<0.05). Facebook user ratings are not associated with the 30-day all-cause readmission rate or the Medicare spending per beneficiary ratio.
CONCLUSIONS: Results demonstrate an association between HCAHPS patient satisfaction measures and Facebook star ratings. Adjusted number of 'likes' may not be a useful measure of patient satisfaction. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  cost of care; hospital quality; patient satisfaction; social media

Mesh:

Year:  2017        PMID: 28600452     DOI: 10.1136/bmjqs-2016-006291

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  8 in total

1.  Do Crowdsourced Hospital Ratings Coincide with Hospital Compare Measures of Clinical and Nonclinical Quality?

Authors:  Victoria Perez; Seth Freedman
Journal:  Health Serv Res       Date:  2018-08-06       Impact factor: 3.402

2.  Online Ratings of Urologists: Comprehensive Analysis.

Authors:  C William Pike; Jacqueline Zillioux; David Rapp
Journal:  J Med Internet Res       Date:  2019-07-02       Impact factor: 5.428

3.  What Do Patients Say About Doctors Online? A Systematic Review of Studies on Patient Online Reviews.

Authors:  Y Alicia Hong; Chen Liang; Tiffany A Radcliff; Lisa T Wigfall; Richard L Street
Journal:  J Med Internet Res       Date:  2019-04-08       Impact factor: 5.428

4.  The value of Facebook in nation-wide hospital quality assessment: a national mixed-methods study in Norway.

Authors:  Oyvind Bjertnaes; Hilde Hestad Iversen; Katrine Damgaard Skyrud; Kirsten Danielsen
Journal:  BMJ Qual Saf       Date:  2019-08-24       Impact factor: 7.035

5.  Wisdom of the Experts Versus Opinions of the Crowd in Hospital Quality Ratings: Analysis of Hospital Compare Star Ratings and Google Star Ratings.

Authors:  Hari Ramasubramanian; Satish Joshi; Ranjani Krishnan
Journal:  J Med Internet Res       Date:  2022-07-26       Impact factor: 7.076

6.  Automatic gender detection in Twitter profiles for health-related cohort studies.

Authors:  Yuan-Chi Yang; Mohammed Ali Al-Garadi; Jennifer S Love; Jeanmarie Perrone; Abeed Sarker
Journal:  JAMIA Open       Date:  2021-06-23

7.  How Online Quality Ratings Influence Patients' Choice of Medical Providers: Controlled Experimental Survey Study.

Authors:  Niam Yaraghi; Weiguang Wang; Guodong Gordon Gao; Ritu Agarwal
Journal:  J Med Internet Res       Date:  2018-03-26       Impact factor: 5.428

8.  Hospital Facebook Reviews Analysis Using a Machine Learning Sentiment Analyzer and Quality Classifier.

Authors:  Afiq Izzudin A Rahim; Mohd Ismail Ibrahim; Sook-Ling Chua; Kamarul Imran Musa
Journal:  Healthcare (Basel)       Date:  2021-12-03
  8 in total

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