Evidence map›Paper›PMID 40949667›Full record

ArticleDigital health

From clinics to clicks: Investigating the motivations and competency framework of healthcare professionals on social media.

Deli Kong, Jiayin Qi

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

2 authors.

Deli KongCollege of Shanghai Lausanne Hospitality Management, Shanghai Business School, Shanghai, China.ORCID https://orcid.org/0000-0001-6533-1749
Jiayin QiCyberspace Institute of Advanced Technology, Guangzhou University (Huangpu), Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the underlying motivations that prompt healthcare professionals (HCPs) to engage in social-media health communication and to construct a competency framework explaining how they develop and sustain this activity. Methods: We employed grounded theory and qualitative content analysis, conducting semi-structured in-depth interviews with 28 verified HCPs on major Chinese platforms (Douyin, Weibo, Zhihu, Xiaohongshu). Open, axial and selective coding mapped the resulting categories onto the classic Onion Model. Results: Coding generated 237 initial concepts, 33 first-order categories, and eight axial competencies, which were organized into a three-layer competency framework: Motivation layer highlighting intrinsic drivers such as achievement motivation, mission-driven purpose, and constructive responses to burnout; Personal Identity & Roles layer encompassing key traits, evolving role identities, and collaborative teamwork; and Professional Competencies layer covering medical expertise, digital skills, information literacy, and communication proficiency. This framework clarifies how HCPs sustain effective engagement despite tightened regulation and limited financial return. Conclusion: HCPs' presence on social media is driven by intrinsic motivation and enabled by a layered mix of personal and trainable competencies. The proposed framework offers actionable guidance for hospitals, professional bodies and platform operators seeking to design training, recognition and policy mechanisms that foster high-quality, trustworthy digital health communication.

Indexed as

competency frameworkgrounded theoryhealthcare professionals (HCPs)Health communicationsocial media

Identifiers

PMID40949667
PMCPMC12432320

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.