Evidence map›Paper›PMID 37398580›Full record

ArticleFrontiers in psychiatry2023

A sentiment analysis on online psychiatrist reviews to identify clinical attributes of psychiatrists that shape the therapeutic alliance.

Soo Hwan Park, Christopher P Cheng, Nicholas J Buehler, Timothy Sanford, William Torrey

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Soo Hwan Park *Geisel School of Medicine at Dartmouth, Hanover, NH, United States.
Christopher P Cheng *Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Nicholas J BuehlerIcahn School of Medicine at Mount Sinai, New York, NY, United States.
Timothy SanfordNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.
William TorreyGeisel School of Medicine at Dartmouth, Hanover, NH, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While online reviews from physician rating websites are increasingly utilized by healthcare providers to better understand patient needs, it remains difficult to objectively identify areas for improvement in providing psychiatric care. Objectives: To quantitatively characterize the sentiment of online written reviews of psychiatrists to determine clinical attributes that can be strengthened to improve psychiatrists' therapeutic alliance with their patients. Materials and methods: Sentiment scores of 6,400 written reviews of 400 US-based psychiatrists on a US-based online physician rating website were obtained through a natural-language-processing-based sentiment analysis. Relationships among sentiment scores, average star ratings, and demographics were examined. Linguistic analyses determined words and bigrams that were highly associated with reviews with the most positive and negative sentiment. Findings: Sentiment scores were significantly correlated with average star ratings of the psychiatrists ( Conclusion: Psychiatrists who are younger and located in the Northeast receive more positive reviews; there may be potential for demographic bias among patient reviewers. Patients positively rate psychiatrists who make them feel heard and comfortable but negatively rate encounters centered around medications and their side effects. Our study lends quantitative evidence to support the importance of thorough and empathetic communication of psychiatrists in building a strong therapeutic alliance.

Indexed as

medication side effectsphysician rating websitespsychiatristsentiment analysistherapeutic alliance

Identifiers

PMID37398580
PMCPMC10313228

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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.