Evidence map›Paper›PMID 30916654›Full record

ArticleJournal of medical Internet research2019

Reporting of Patient Experience Data on Health Systems' Websites and Commercial Physician-Rating Websites: Mixed-Methods Analysis.

Tara Lagu, Caroline M Norton, Lindsey M Russo, Aruna Priya, Sarah L Goff, Peter K Lindenauer

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. 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
6.2field-weighted citation impact, top 4% of its field
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, 24 citations in OpenAlex.

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  9. Online Ratings of Urologists: Comprehensive Analysis.Journal of medical Internet research · 2019
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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

6 authors at 2 institutions in 1 country.

Tara Lagu *Baystate Health, Institute for Healthcare Delivery and Population Science and Department of Medicine, University of Massachusetts Medical School-Baystate, Springfield, MA, United States.ORCID 0000-0001-6155-5796
Caroline M Norton *College of Natural Sciences, University of Massachusetts, Amherst, MA, United States.ORCID 0000-0002-9767-9253
Lindsey M Russo *School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, United States.ORCID 0000-0002-7639-8655
Aruna Priya *Baystate Health, Institute for Healthcare Delivery and Population Science and Department of Medicine, University of Massachusetts Medical School-Baystate, Springfield, MA, United States.ORCID 0000-0002-2431-0543
Sarah L Goff *Baystate Health, Institute for Healthcare Delivery and Population Science and Department of Medicine, University of Massachusetts Medical School-Baystate, Springfield, MA, United States.ORCID 0000-0003-2005-1369
Peter K Lindenauer *Baystate Health, Institute for Healthcare Delivery and Population Science and Department of Medicine, University of Massachusetts Medical School-Baystate, Springfield, MA, United States.ORCID 0000-0002-8414-0507
University of Massachusetts Chan Medical School · USUniversity of Massachusetts Amherst · US

Funding

Identifying effective strategies used by Medicare Accountable Care Organizations to improve outcomes for patients with heart failure: A mixed-methods studyR01HL139985 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LAGU, TARA C · 2018 to 2021
$2.8M
Defining Optimal Clinical Strategies for Critically Ill Heart Failure PatientsK01HL114745 · NHLBI · BAYSTATE MEDICAL CENTER, INC. · PI LAGU, TARA C · 2013 to 2017
$721k
Identifying Factors Associated With High Quality Pediatric Primary CareK23HD080870 · NICHD · BAYSTATE MEDICAL CENTER, INC. · PI GOFF, SARAH L · 2015 to 2018
$534k
NHLBI NIH HHS K01 HL114745NHLBI NIH HHS R01 HL139985NICHD NIH HHS K23 HD080870
6 · The paper itself

Abstract

backgroundSome hospitals' and health systems' websites report physician-level ratings and comments drawn from the Consumer Assessment of Healthcare Providers and Systems surveys.

objectiveThe aim was to examine the prevalence and content of health system websites reporting these data and compare narratives from these sites to narratives from commercial physician-rating sites.

methodsWe identified health system websites active between June 1 and 30, 2016, that posted clinician reviews. For 140 randomly selected clinicians, we extracted the number of star ratings and narrative comments. We conducted a qualitative analysis of a random sample of these physicians' narrative reviews and compared these to a random sample of reviews from commercial physician-rating websites. We described composite quantitative scores for sampled physicians and compared the frequency of themes between reviews drawn from health systems' and commercial physician-rating websites.

resultsWe identified 42 health systems that published composite star ratings (42/42, 100%) or narratives (33/42, 79%). Most (27/42, 64%) stated that they excluded narratives deemed offensive. Of 140 clinicians, the majority had composite scores listed (star ratings: 122/140, 87.1%; narrative reviews: 114/140, 81.4%), with medians of 110 star ratings (IQR 42-175) and 25.5 (IQR 13-48) narratives. The rating median was 4.8 (IQR 4.7-4.9) out of five stars, and no clinician had a score less than 4.2. Compared to commercial physician-rating websites, we found significantly fewer negative comments on health system websites (35.5%, 76/214 vs 12.8%, 72/561, respectively; P<.001).

conclusionsThe lack of variation in star ratings on health system sites may make it difficult to differentiate between clinicians. Most health systems report that they remove offensive comments, and we notably found fewer negative comments on health system websites compared to commercial physician-rating sites.

Indexed as

Social NetworkingFemaleHumansInternetMalePatient SatisfactionPhysiciansResearch DesignSurveys and Questionnairesphysician reviewspublic reportingsocial networking

Identifiers

PMID30916654
PMCPMC6456827
OpenAlexW2911275276

What OpenQuestion holds

Textmetadata
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.