Literature DB >> 34027743

Are Online Patient Reviews Associated With Health Care Outcomes? A Systematic Review of the Literature.

Andrew M Placona1, Cheryl Rathert2.   

Abstract

Although online patient reviews (OPRs) are ubiquitous, there has been debate about whether OPRs are associated with measures of health care outcomes. The majority of patients search for online information about a hospital or provider before scheduling an encounter, therefore, the extent to which OPRs are valid information is important. We conducted a systematic review of the literature to examine the extent to which OPRs are associated with measures of patient experience, clinical quality, and other outcomes. We searched Medline, CINAHL, Web of Science, and PsycInfo, which yielded 32 studies. There were consistent positive correlations between OPRs and patient experience at both the organization and individual provider levels of analysis. However, associations between OPRs and quality measures were mixed. Organizational level OPRs may be more reliable than individual provider OPRs. In addition, the strength of association could be affected by the type of encounter setting, specialty, and specific measures.

Entities:  

Keywords:  online patient reviews; patient experience; patient outcomes; patient safety; patient satisfaction

Mesh:

Year:  2021        PMID: 34027743     DOI: 10.1177/10775587211014534

Source DB:  PubMed          Journal:  Med Care Res Rev        ISSN: 1077-5587            Impact factor:   3.929


  3 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.  Nursing Homes: Affiliation to Large Chains, Quality and Public-Private Collaboration.

Authors:  Inmaculada Aguiar-Díaz; María Victoria Ruiz-Mallorquí; Beatriz González-López Valcarcel
Journal:  Healthcare (Basel)       Date:  2022-07-30

3.  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
  3 in total

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