Accessibility and Decision-Supportive Quality of Benign Breast Disease Articles on Chinese Hospital WeChat Public Accounts: Nationwide Cross-Sectional Study.

IF 5 3区 医学 Q2 MEDICAL INFORMATICS
Jing Li, Chenxi He, Shi Wang, Lichi Ke, Hongfan Yu, Xing Wei, Cheng Lei, Dehua Hu, Zhiliang Zhang, Wen Zhou, Min Li, Wenlin Wu, Wei Xu, Jin Bai, Qiuling Shi
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引用次数: 0

Abstract

Background: Shared decision-making (SDM) is critical for managing clinically ambiguous conditions such as benign breast disease (BBD), requiring reliable health information. In China, WeChat public accounts (WPAs) run by hospitals serve as a major health information channel, yet their quality remains unevaluated.

Objective: This study aimed to evaluate the quality of BBD-related articles on hospital WPAs in China.

Methods: Using a multistage stratified random sampling approach, we conducted a nationwide survey examining the quality of articles published from January 2020 to November 2024. The articles were evaluated for accessibility (readability, image quality, and user-friendliness) and SDM readiness (credibility, balance, and decision relevance) using validated instruments and content analysis.

Results: Among 276,617 articles from 158 sampled hospitals, 464 were related to BBD. Accessibility was generally good: 72.4% (336/464) were written at a junior high school reading level. Visual presentation was acceptable, although only 10.2% (42/410) had complete image labeling. The Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P) scores showed moderate understandability (mean 73.6%, SD 17.3%) but limited actionability (mean 50%, SD 23.2%). For SDM readiness, the mean Quality Evaluation Scoring Tool (QUEST) score was 14.9 (SD 4.7) out of 28, with treatment-related articles scoring lower than prevention-related articles (P<.001). In the balance evaluation, using Brief DISCERN, 84.3% (182/216) of articles were below the high-quality threshold, often lacking information on treatment risks and quality-of-life impacts. Decision relevance revealed variability in surgical recommendations, especially regarding excision criteria and pregnancy-related guidance.

Conclusions: WPA articles on BBD showed good accessibility but substantial gaps in SDM support, particularly in information balance and decision relevance. Standardized guidelines and quality improvements are needed to enhance patient-centered online health services.

中国医院微信公众号乳腺良性疾病文章的可及性与决策支持质量:全国横断面研究
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Medical Informatics
JMIR Medical Informatics Medicine-Health Informatics
CiteScore
7.90
自引率
3.10%
发文量
173
审稿时长
12 weeks
期刊介绍: JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals. Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.
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