Evidence map›Paper›PMID 30084168›Full record

ArticleHealth services research2018

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

Victoria Perez, Seth Freedman

Abstract readComparative Study
In one paragraph

Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A cross-sectional analysis of Yelp and Google reviews of hospitals in the United States.Journal of the American College of Emergency Physicians open · 2023
    Article
  5. Review
  6. Article
  7. Article
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Victoria PerezSchool of Public and Environmental Affairs, Indiana University, Bloomington, IN.ORCID 0000-0002-1201-4712
Seth FreedmanSchool of Public and Environmental Affairs, Indiana University, Bloomington, IN.ORCID 0000-0002-4081-3239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the consistency with which government-issued hospital quality ratings and crowdsourced ratings on social media sites identify hospital quality. DATA SOURCES: Hospital ratings from Facebook, Google, and Yelp were linked with Hospital Compare (HC) measures. STUDY

designFixed-effects linear regression model. PRINCIPAL

findingsAmong crowdsourcing sites' best-ranked hospitals, 50-60% were also the best ranked on HC's overall and patient experience ratings; 20% ranked as the worst. Best-ranked hospitals had significantly better clinical quality scores than worst ranked hospitals, but were not more likely to be the highest rated in terms of HC's clinical quality measures alone.

conclusionsCrowdsourcing sites and HC provide comparable information on patient experience; scores were less consistent in terms of risk-adjusted measures of patient safety and clinical quality.

Indexed as

CrowdsourcingHospitalsHumansPatient ReadmissionPatient SafetyPatient SatisfactionQuality Indicators, Health CareSocial MediaHospitalsmeasurementquality

Identifiers

PMID30084168
PMCPMC6232393

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.