Literature DB >> 32239874

Social media hospital ratings and HCAHPS survey scores.

Subhajit Chakraborty1, E Mitchell Church1.   

Abstract

PURPOSE: To empirically verify whether patient hospital satisfaction ratings on social media such as Yelp provide similar information as the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) surveys. DESIGN/METHODOLOGY/APPROACH: OLS and ordinal regressions performed on secondary data obtained from Yelp.com and 2016 Hospital Compare database disclosed by CMS.
FINDINGS: Results show that the patient hospital satisfaction ratings from Yelp can predict the patient experience of care domain scores obtained through the annual HCAHPS surveys and are also positively and significantly correlated to the overall hospital quality performance scores given by CMS. RESEARCH LIMITATIONS/IMPLICATIONS: Study suggests that social media patient review information could be used to supplement the information obtained from HCAHPS surveys, thereby providing hospitals more accurate information about their patient experiences. PRACTICAL IMPLICATIONS: Hospital leaders need not wait an entire year to receive their HCHAPS scores to know about the issues related to their patient experience that need improvement and can periodically refer to free Yelp patient review scores on Yelp.com to obtain similar information. ORIGINALITY/VALUE: To the best of knowledge, this research is the first to empirically demonstrate that patient reviews freely obtained from social media sites like Yelp can provide similar information as obtained from HCAHPS surveys and can thus be used to supplement HCAHPS. © Emerald Publishing Limited.

Entities:  

Keywords:  HCAHPS surveys; Patient experience of care score; Patient hospital satisfaction rating; Social media

Mesh:

Year:  2020        PMID: 32239874     DOI: 10.1108/JHOM-08-2019-0234

Source DB:  PubMed          Journal:  J Health Organ Manag        ISSN: 1477-7266


  2 in total

1.  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

2.  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
  2 in total

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