中国精神卫生保健应用的质量和隐私政策遵从性:横断面评估研究

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Xinying Lin, Xingxing Wu, Ziping Zhu, Danting Chen, Hong Li, Rong Lin
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引用次数: 0

摘要

背景:抑郁症和焦虑症等精神卫生问题的全球患病率正在上升,但获得高质量护理的机会仍然严重有限。尽管心理健康护理应用程序可以提高治疗效果,但它们对高度敏感的个人数据的处理带来了巨大的隐私风险。目的:本研究系统调查了中国精神卫生保健应用程序,通过信息安全技术-个人信息安全规范(GB/t 35273-2020)和移动应用程序评级量表(MARS)的集成框架评估其质量和隐私政策合规性。方法:在中国的iOS和Android平台上全面搜索识别出的应用程序,由2名独立评审员进行评估。每个应用程序的一般特征、专业背景、功能、质量和隐私政策合规性使用先前发布的隐私政策合规性量表和MARS进行评估。结果:对115个被识别的应用程序的综合分析显示,所有应用程序都在其市场界面上提供了隐私政策链接。在这115个应用程序中,104个(90.4%)在登录时显示了策略提醒,但只有85个(73.9%)实现了策略弹出或需要活跃用户确认。115个应用的平均隐私政策合规得分为60.83%(标准差21.75%),其中一般特征的平均合规得分最高(80.58%,标准差19.01%),信息破坏的平均合规得分最低(49.57%,标准差28.67%)。在115个应用程序中,只有2个(1.7%)通知第三方及时删除个人信息。MARS平均得分为3.41 (SD 0.26),表明应用质量总体较好。MARS总分与总体隐私政策依从性呈显著正相关(r=0.354;结论:虽然中国精神卫生app的隐私政策合规性处于中等水平,但个人信息保护肤浅,执行不力,信息销毁透明度不高。研究结果表明,加强隐私政策合规性可以显著提高应用质量和用户参与度。因此,中国互联网内容监管机构应建立健全的执法和监督体系,加强对精神卫生保健应用程序的监管,提高其隐私政策合规性,以确保高质量应用程序的可持续发展,提高隐私保护标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quality and Privacy Policy Compliance of Mental Health Care Apps in China: Cross-Sectional Evaluation Study.

Background: The global prevalence of mental health issues such as depression and anxiety is escalating, yet access to high-quality care remains severely limited. Although mental health care apps can enhance outcomes, their handling of highly sensitive personal data poses significant privacy risks.

Objective: This study systematically investigated Chinese mental health care apps, assessing their quality and privacy policy compliance through an integrated framework of the Information Security Technology-Personal Information Security Specification (GB/t 35273-2020) and the Mobile App Rating Scale (MARS).

Methods: A comprehensive search on the Chinese iOS and Android platforms identified apps for evaluation by 2 independent reviewers. Each app was assessed for general characteristics, professional context, functionality, quality, and privacy policy compliance using a previously published privacy policy compliance scale and the MARS.

Results: A comprehensive analysis of the 115 identified apps revealed that all provided privacy policy links on their marketplace interfaces. Of these 115 apps, 104 (90.4%) displayed policy reminders during log-in, but only 85 (73.9%) implemented policy pop-ups or required active user confirmation. The average privacy policy compliance score across the 115 apps was 60.83% (SD 21.75%), with the highest average compliance in general characteristics (80.58%, SD 19.01%) and the lowest in information destruction (49.57%, SD 28.67%). Only 2 (1.7%) of the 115 apps notified third parties to promptly delete personal information. The mean MARS score was 3.41 (SD 0.26), indicating generally good app quality. A significantly positive correlation was found between MARS total scores and overall privacy policy compliance (r=0.354; P<.01), with the strongest associations observed for information destruction (r=0.405; P<.01) and data sharing or transfer (r=0.324; P<.01).

Conclusions: Although privacy policy compliance in Chinese mental health care apps is at a moderate level, superficial personal information protections, inadequate implementation, and poor transparency in information destruction persist. The findings indicate that enhancing privacy policy compliance can significantly improve app quality and user engagement. Therefore, China's internet content regulators should establish robust enforcement and oversight systems to strengthen the supervision of mental health care apps, elevating their privacy policy compliance to ensure the sustainable development of high-quality apps with enhanced privacy protection standards.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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