Evidence map›Paper›PMID 38778866›Full record

ArticleDigital health

How do provider communication strategies predict online patient satisfaction? A content analysis of online patient-provider communication transcripts.

Jian Raymond Rui, Jieqiong Guo, Keqing Yang

Abstract read
In one paragraph

Article in Digital health. 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

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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.

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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

3 authors.

Jian Raymond RuiCollege of Journalism and Communication, South China University of Technology, Guangzhou, Guangdong Province, China.
Jieqiong GuoChule Cootek Information Technology Limited Company, Shanghai, China.
Keqing YangCollege of Journalism and Communication, South China University of Technology, Guangzhou, Guangdong Province, China.ORCID https://orcid.org/0000-0003-1572-4661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: As a result of the growing access to the Internet, online medical platforms have gained increased popularity in China. However, which strategies doctors should use to improve their online communication with patients remains understudied. Drawing upon the performance-evaluation-outcome (PEO) model, the present study seeks to develop a typology of patient-centered communication (PCC) strategies online and identify those strategies that can increase patient satisfaction. Methods: We employed the data crawling technique to access text-based patient-provider transcripts through a large medical consultation platform in China and coded 9140 conversational turns of doctors. Results: Our analysis revealed 15 PCC strategies that Chinese doctors often used online. In addition, several strategies were found to enhance patient satisfaction including information provision, making diagnosis, information appraisal, emotion expression, emotion recognition and support, in-depth discussion of medical treatments, providing coping strategies, and enabling self-management. Conclusion: Chinese patients may have developed multiple needs, which they expect to fulfill through their interactions with doctors. Technological affordances of online medical platforms may pressure doctors to adapt their communication strategies to patients' needs. Our findings develop the PEO model from the perspective of patient-provider communication strategies and add a perspective centering on patients' needs to the scholarship on patient satisfaction. In addition, these results provide practical implications on how to improve patient-provider communication online.

Indexed as

content analysisonline medical consultationsonline patient-provider communicationPatient-centered communicationpatient satisfaction

Identifiers

PMID38778866
PMCPMC11110499

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LicenceCC BY-NC
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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.