Literature DB >> 27044971

Yelp Reviews Of Hospital Care Can Supplement And Inform Traditional Surveys Of The Patient Experience Of Care.

Benjamin L Ranard1, Rachel M Werner2, Tadas Antanavicius3, H Andrew Schwartz4, Robert J Smith5, Zachary F Meisel6, David A Asch7, Lyle H Ungar8, Raina M Merchant9.   

Abstract

Little is known about how real-time online rating platforms such as Yelp may complement the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey, which is the US standard for evaluating patients' experiences after hospitalization. We compared the content of Yelp narrative reviews of hospitals to the topics in the HCAHPS survey, called domains in HCAHPS terminology. While the domains included in Yelp reviews covered the majority of HCAHPS domains, Yelp reviews covered an additional twelve domains not found in HCAHPS. The majority of Yelp topics that most strongly correlate with positive or negative reviews are not measured or reported by HCAHPS. The large collection of patient- and caregiver-centered experiences found on Yelp can be analyzed with natural language processing methods, identifying for policy makers the measures of hospital quality that matter most to patients and caregivers. The Yelp measures and analysis can also provide actionable feedback for hospitals. Project HOPE—The People-to-People Health Foundation, Inc.

Entities:  

Keywords:  Consumer Issues; Hospitals; Personal Experience (-Narrative Matters-); Quality Of Care; Research And Technology

Mesh:

Year:  2016        PMID: 27044971      PMCID: PMC4845957          DOI: 10.1377/hlthaff.2015.1030

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  17 in total

1.  Taking Patients' Narratives about Clinicians from Anecdote to Science.

Authors:  Mark Schlesinger; Rachel Grob; Dale Shaller; Steven C Martino; Andrew M Parker; Melissa L Finucane; Jennifer L Cerully; Lise Rybowski
Journal:  N Engl J Med       Date:  2015-08-13       Impact factor: 91.245

2.  A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews.

Authors:  Byron C Wallace; Michael J Paul; Urmimala Sarkar; Thomas A Trikalinos; Mark Dredze
Journal:  J Am Med Inform Assoc       Date:  2014-06-10       Impact factor: 4.497

3.  Associations between Internet-based patient ratings and conventional surveys of patient experience in the English NHS: an observational study.

Authors:  Felix Greaves; Utz J Pape; Dominic King; Ara Darzi; Azeem Majeed; Robert M Wachter; Christopher Millett
Journal:  BMJ Qual Saf       Date:  2012-04-20       Impact factor: 7.035

4.  A mixed-methods analysis of patient reviews of hospital care in England: implications for public reporting of health care quality data in the United States.

Authors:  Tara Lagu; Sarah L Goff; Nicholas S Hannon; Amy Shatz; Peter K Lindenauer
Journal:  Jt Comm J Qual Patient Saf       Date:  2013-01

5.  Who chooses, who uses, who rates: the impact of agency on electronic word-of-mouth about hospitals stays.

Authors:  Florian Drevs; Vera Hinz
Journal:  Health Care Manage Rev       Date:  2014 Jul-Sep

6.  The relationship between commercial website ratings and traditional hospital performance measures in the USA.

Authors:  Naomi S Bardach; Renée Asteria-Peñaloza; W John Boscardin; R Adams Dudley
Journal:  BMJ Qual Saf       Date:  2012-11-23       Impact factor: 7.035

7.  Identifying key hospital service quality factors in online health communities.

Authors:  Yuchul Jung; Cinyoung Hur; Dain Jung; Minki Kim
Journal:  J Med Internet Res       Date:  2015-04-07       Impact factor: 5.428

8.  Use of social media across US hospitals: descriptive analysis of adoption and utilization.

Authors:  Heather M Griffis; Austin S Kilaru; Rachel M Werner; David A Asch; John C Hershey; Shawndra Hill; Yoonhee P Ha; Allison Sellers; Kevin Mahoney; Raina M Merchant
Journal:  J Med Internet Res       Date:  2014-11-27       Impact factor: 5.428

9.  Personality, gender, and age in the language of social media: the open-vocabulary approach.

Authors:  H Andrew Schwartz; Johannes C Eichstaedt; Margaret L Kern; Lukasz Dziurzynski; Stephanie M Ramones; Megha Agrawal; Achal Shah; Michal Kosinski; David Stillwell; Martin E P Seligman; Lyle H Ungar
Journal:  PLoS One       Date:  2013-09-25       Impact factor: 3.240

10.  Tweets about hospital quality: a mixed methods study.

Authors:  Felix Greaves; Antony A Laverty; Daniel Ramirez Cano; Karo Moilanen; Stephen Pulman; Ara Darzi; Christopher Millett
Journal:  BMJ Qual Saf       Date:  2014-04-19       Impact factor: 7.035

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  45 in total

1.  "Told": the Word Most Correlated to Negative Online Hospital Reviews.

Authors:  Anish K Agarwal; Arthur P Pelullo; Raina M Merchant
Journal:  J Gen Intern Med       Date:  2019-07       Impact factor: 5.128

2.  "Sunshine Is the Best Disinfectant".

Authors:  David B Nash
Journal:  Am Health Drug Benefits       Date:  2017-06

3.  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

4.  What Words Convey: The Potential for Patient Narratives to Inform Quality Improvement.

Authors:  Rachel Grob; Mark Schlesinger; Lacey Rose Barre; Naomi Bardach; Tara Lagu; Dale Shaller; Andrew M Parker; Steven C Martino; Melissa L Finucane; Jennifer L Cerully; Alina Palimaru
Journal:  Milbank Q       Date:  2019-03       Impact factor: 4.911

5.  Patients' Awareness, Usage and Impact of Hospital Report Cards in the US.

Authors:  Martin Emmert; Mark Schlesinger
Journal:  Patient       Date:  2017-12       Impact factor: 3.883

6.  Rate Your Addiction Treatment Facility: Exploring the Quality Chasm Online.

Authors:  Kevin M Chen; David A Fiellin
Journal:  J Gen Intern Med       Date:  2020-06       Impact factor: 5.128

Review 7.  Getting Started: A Social Media Primer.

Authors:  Dalya M Ferguson; Lillian S Kao
Journal:  Clin Colon Rectal Surg       Date:  2017-09-12

8.  On Patient Safety: Are Online Reviews a Reliable Assessment of Safety?

Authors:  Michael J Lee
Journal:  Clin Orthop Relat Res       Date:  2018-03       Impact factor: 4.176

Review 9.  Making Sense of Big Textual Data for Health Care: Findings from the Section on Clinical Natural Language Processing.

Authors:  A Névéol; P Zweigenbaum
Journal:  Yearb Med Inform       Date:  2017-09-11

10.  Patient Perspectives in Comparing Hospitals for Childbirth: Insights from Hawai'i.

Authors:  Charmaine Milla; Mary Guo; Ann Chang; Nancy Chen; Jill Miyamura; Tetine Sentell
Journal:  Hawaii J Med Public Health       Date:  2019-03
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