Evidence map›Paper›PMID 33107826›Full record

Observational studyJournal of medical Internet research2020

Correlation of Online Physician Rating Subscores and Association With Overall Satisfaction: Observational Study of 212,933 Providers.

Hanson Hanqing Zhao, Michael Luu, Brennan Spiegel, Timothy John Daskivich

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trends in product characteristics of disposable e-cigarettes sold by US online stores between 2022 and 2024.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  2. The Association Between Product Attributes and Oral Nicotine Pouch Preference-Evidence From Online Stores.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    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

4 authors at 1 institution in 1 country.

Hanson Hanqing ZhaoDivision of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.ORCID 0000-0002-9660-3476
Michael LuuDivision of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.ORCID 0000-0002-7968-7313
Brennan SpiegelCenter for Outcomes Research and Education, Cedars-Sinai Medical Center, Los Angeles, CA, United States.ORCID 0000-0002-4608-6896
Timothy John DaskivichDivision of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.ORCID 0000-0002-7540-3272
Cedars-Sinai Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnline physician rating websites commonly ask consumers to rate providers across multiple physician-based (eg, spending sufficient time, listening) and office-based (eg, appointment scheduling, friendliness) subdimensions of care in addition to overall satisfaction. However, it is unclear if consumers can differentiate between the various rated subdimensions of physicians. It is also unclear how each subdimension is related to overall satisfaction.

objectiveThe objectives of our study were to determine the correlation of physician-based and office-based subdimensions of care and the association of each with overall satisfaction.

methodsWe sampled 212,933 providers from the Healthgrades website and calculated average provider metrics for overall satisfaction (likelihood to recommend doctor), physician-based subdimensions (trust in physician, ability to explain, ability to listen and answer questions, and spending adequate time), and office-based subdimensions (ease of scheduling, office environment, staff friendliness, and wait time). We used Spearman rank correlation to assess correlation between subdimension ratings. Factor analysis was used to identify potential latent factors predicting overall satisfaction. Univariate and multivariable linear regression were performed to assess the effect of physician and office-based factors on overall satisfaction.

resultsPhysician-based metrics were highly correlated with each other (r=.95 to .98, P<.001), as were office-based metrics (r=.84 to .88, P<.001). Correlations between physician-based and office-based ratings were less robust (r=.79 to .81, P<.001). Factor analysis identified two factors, clearly distinguishing between physician-based metrics (factor loading = 0.84 to 0.88) and office-based metrics (factor loading = 0.76 to 0.84). In multivariable linear regression analysis, the composite factor representing physician-based metrics (0.65, 95% CI 0.65 to 0.65) was more strongly associated with overall satisfaction than the factor representing office-based metrics (0.42, 95% CI 0.42 to 0.42). These factors eclipsed other demographic variables in predicting overall satisfaction.

conclusionsConsumers do not differentiate between commonly assessed subdimensions of physician-based care or subdimensions of office-based care, but composite factors representing these broader categories are associated with overall satisfaction. These findings argue for a simpler ratings system based on two metrics: one addressing physician-based aspects of care and another addressing office-based aspects of care.

Indexed as

FemaleHumansInternetMalePatient SatisfactionPhysiciansHealthgradesonline ratingsphysician ratings

Identifiers

PMID33107826
PMCPMC7655464
OpenAlexW3022777916

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.