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Currently accepted at: JMIR Nursing

Date Submitted: Aug 20, 2025
Date Accepted: Jun 3, 2026
(closed for review but you can still tweet)

This paper has been accepted and is currently in production.

It will appear shortly on 10.2196/82679

The final accepted version (not copyedited yet) is in this tab.

WeChat-Based Nursing Interventions in Women’s Mobile Health: Systematic Review

  • Jun Xiao; 
  • Rui Li; 
  • Yangyang Wu; 
  • Tong Wu

ABSTRACT

Background:

Mobile health (mHealth) technology offers new approaches to improve women’s health by providing personalized monitoring and real-time guidance. As one of the most widely used social media platforms in China, WeChat has shown great potential in mHealth practice, yet systematic evidence on its application in women’s health care remains insufficient.

Objective:

To systematically review WeChat‑based nursing interventions in women’s mHealth, so as to clarify the application status, intervention modalities, target populations, and effectiveness outcomes.

Methods:

Searches were conducted in IEEE Xplore, Web of Science, PubMed, Scopus, ACM Digital Library, and Cochrane Central Register of Controlled Trials between January 2011 and December 2024. Two independent reviewers screened studies, extracted data on study design, intervention forms, target diseases, and outcome indicators, and assessed methodological quality. Cohen’s kappa coefficient was used to evaluate inter‑reviewer agreement. Publication trends, institutional collaborations, author contributions, and research hotspots were analyzed using VOSviewer and Incites for bibliometric analysis.

Results:

A total of 31 eligible studies published from 2014 to 2024 were included. Most studies were randomized controlled trials (n=27). Intervention modalities mainly included WeChat groups (n=22), official accounts (n=18), applets (n=4), and private chats (n=9), mostly used in combination. The top focused health issues were prenatal care (n=5), breast cancer (n=5), gynecological cancer (n=5), and gestational diabetes mellitus (n=4). Six studies adopted multidisciplinary teams. Cohen’s kappa was 0.71, indicating substantial agreement. Publications grew rapidly after 2018, peaking in 2021 and 2024. A total of 40 institutions participated, with Xi’an Jiaotong University having the highest citation impact. Most studies were at high risk of bias due to non‑blinding design.

Conclusions:

WeChat‑based nursing interventions improve personalized health information access, self‑management ability, treatment compliance, and real‑time doctor‑patient communication for women. This is the first systematic review to evaluate WeChat mHealth interventions in women’s health, filling the research gap. Future research should focus on improving methodological quality, exploring cross‑cultural adaptability, conducting long‑term follow‑up, and integrating wearable devices and electronic health records to further optimize WeChat‑based women’s health services. Clinical Trial: Not applicable.


 Citation

Please cite as:

Xiao J, Li R, Wu Y, Wu T

WeChat-Based Nursing Interventions in Women’s Mobile Health: Systematic Review

JMIR Nursing. 03/06/2026:82679 (forthcoming/in press)

DOI: 10.2196/82679

URL: https://preprints.jmir.org/preprint/82679

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