Evidence map›Paper›PMID 29402321›Full record

Observational studyBMC health services research2018

A cross-sectional study assessing the association between online ratings and clinical quality of care measures for US hospitals: results from an observational study.

Martin Emmert, Nina Meszmer, Mark Schlesinger

Abstract readObservational Study
In one paragraph

Observational study in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
–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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. 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
  6. Assessment of hospitals' websites in Portugal.Frontiers in public health · 2022
    Article
  7. Article
  8. The Quality of Infectious Disease Hospital Websites in Poland in Light of the COVID-19 Pandemic.International journal of environmental research and public health · 2021
    Article
  9. [Advertising or information in ophthalmology? : Scientific evaluation of a YouTube sample].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2021
    Review
  10. Article
  11. Article
  12. Article
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

3 authors.

Martin Emmert2014-15 Harkness & Robert Bosch Fellow in Healthcare Policy and Practice; Department of Health Policy and Management, Yale University, School of Public Health, 47 College Street, New Haven, CT, 06520, USA. martin.emmert@yale.edu.ORCID 0000-0002-7130-8497
Nina MeszmerFriedrich-Alexander-University Erlangen-Nuremberg, School of Business and Economics, Institute of Management (IFM), Lange Gasse 20, 90403, Nuremberg, Germany.
Mark SchlesingerYale University, School of Public Health, Room 304 LEPH, 60 College Street, New Haven, CT, 06520, USA.

Funding

The Commonwealth Fund 2014-15 Harkness & Robert Bosch Fellow in Healthcare Policy and Practice
6 · The paper itself

Abstract

backgroundLittle is known about the usefulness of online ratings when searching for a hospital. We therefore assess the association between quantitative and qualitative online ratings for US hospitals and clinical quality of care measures.

methodsFirst, we collected a stratified random sample of 1000 quantitative and qualitative online ratings for hospitals from the website RateMDs. We used an integrated iterative approach to develop a categorization scheme to capture both the topics and sentiment in the narrative comments. Next, we matched the online ratings with hospital-level quality measures published by the Centers for Medicare and Medicaid Services. Regarding nominally scaled measures, we checked for differences in the distribution among the online rating categories. For metrically scaled measures, we applied the Spearman rank coefficient of correlation.

resultsThirteen of the twenty-nine quality of care measures were significantly associated with the quantitative online ratings (Spearman p = ±0.143, p < 0.05 for all). Thereof, eight associations indicated better clinical outcomes for better online ratings. Seven of the twenty-nine clinical measures were significantly associated with the sentiment of patient narratives (p = ±0.114, p < 0.05 for all), whereof four associations indicated worse clinical outcomes in more favorable narrative comments.

conclusionsThere seems to be some association between quantitative online ratings and clinical performance measures. However, the relatively weak strength and inconsistency of the direction of the association as well as the lack of association with several other clinical measures may not enable the drawing of strong conclusions. Narrative comments also seem to have limited potential to reflect the clinical quality of care in its current form. Thus, online ratings are of limited usefulness in guiding patients towards high-performing hospitals from a clinical point of view. Nevertheless, patients might prefer different aspects of care when choosing a hospital.

Indexed as

InternetQuality of Health CareClinical CompetenceCross-Sectional StudiesDelivery of Health CareFemaleHospitalsHumansMaleNarrationPatient SatisfactionPhysician-Patient RelationsUnited StatesWorkforceOnline ratingsPatient narrativesPatient satisfactionPublic reportingQuality of care

Identifiers

PMID29402321
PMCPMC5800028

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.