Evidence map›Paper›PMID 41053711›Full record

ArticleBMC health services research2025

Understanding healthcare professionals' participation in social media health knowledge popularization: insights from the UTAUT model and perceived risk theory.

Bu Zhao, Zhe Chen, Wenjia Tang, Guohong Li, Dongsheng Bian, Yihui Wang

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Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Bu Zhao *Department of Clinical Nutrition, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhe Chen *Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wenjia TangRuijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guohong LiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China. guohongli@sjtu.edu.cn.
Dongsheng BianDepartment of Clinical Nutrition, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. biandd1211@163.com.
Yihui WangDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. wangyihui581@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media has become a significant platform for health knowledge popularization worldwide, especially during public health crises. However, the factors influencing healthcare professionals’ intention to engage in health knowledge popularization on social media, particularly in China, remain underexplored due to the unique socio-medical environment.

objectiveThis study examines determinants of Chinese healthcare professionals’ social media-based health knowledge popularization participation, evaluating the applicability of the Unified Theory of Acceptance and Use of Technology (UTAUT) and Perceived Risk Theory.

methodsWe developed a survey integrating UTAUT constructs (performance expectancy, effort expectancy, social influence, facilitating conditions) with perceived risk. Data from 762 professionals across four Shanghai tertiary hospitals were analyzed using structural equation modeling.

resultsSocial influence (β = 0.299, p < 0.001), performance expectancy (β = 0.221, p < 0.001), and effort expectancy (β = 0.312, p < 0.001) significantly positively predicted participation intention. Facilitating conditions directly affected actual behavior (β = 0.079, p < 0.05), while perceived risk showed no significant association with intention (β=-0.019, p = 0.581).

conclusionsInstitutional support emerges as crucial in mediating healthcare professionals’ social media engagement, with social influence and anticipated effectiveness being primary motivators. The non-significant role of perceived risk may reflect China’s performance evaluation systems and policy safeguards mitigating professional concerns. Practical implications suggest that enhancing organizational support through resource allocation and workload adjustments could effectively promote online health knowledge popularization participation. CLINICAL TRAIL NUMBER: Not applicable.

Indexed as

Health Knowledge, Attitudes, PracticeHealth PersonnelSocial MediaAdultChinaFemaleHumansMaleMedia ExposureMiddle AgedSurveys and QuestionnairesHealthcare professionalsHealth knowledge popularizationPerceived riskSocial mediaUTAUT

Identifiers

PMID41053711
PMCPMC12502282

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.