• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
2
Framework to Assist Stakeholders in Technology Evaluation for Recovery (FASTER) to Mental Health and Wellness.协助利益相关者进行康复技术评估的框架(FASTER)促进心理健康与幸福。
BMC Health Serv Res. 2025 Apr 30;25(1):623. doi: 10.1186/s12913-025-12418-0.
3
Evaluating evaluation frameworks: a scoping review of frameworks for assessing health apps.评估评估框架:评估健康类应用程序框架的范围综述。
BMJ Open. 2021 Mar 19;11(3):e047001. doi: 10.1136/bmjopen-2020-047001.
4
Researched Apps Used in Dementia Care for People Living With Dementia and Their Informal Caregivers: Systematic Review on App Features, Security, and Usability.用于痴呆症患者及其非专业照护者的痴呆症照护研究型应用程序:关于应用程序功能、安全性和可用性的系统评价。
J Med Internet Res. 2023 Oct 12;25:e46188. doi: 10.2196/46188.
5
An Assessment Framework for e-Mental Health Apps in Canada: Results of a Modified Delphi Process.加拿大电子心理健康应用程序评估框架:改良德尔菲法的结果
JMIR Mhealth Uhealth. 2018 Jul 9;6(7):e10016. doi: 10.2196/10016.
6
Assessment of Mental Health Services Available Through Smartphone Apps.通过智能手机应用程序评估心理健康服务。
JAMA Netw Open. 2022 Dec 1;5(12):e2248784. doi: 10.1001/jamanetworkopen.2022.48784.
7
Systematic assessment of the quality and integrity of popular mental health smartphone apps using the American Psychiatric Association's app evaluation model.使用美国精神病学协会的应用程序评估模型对热门心理健康智能手机应用程序的质量和完整性进行系统评估。
Front Digit Health. 2022 Sep 29;4:1003181. doi: 10.3389/fdgth.2022.1003181. eCollection 2022.
8
Insights from user reviews to improve mental health apps.从用户评论中获取改善心理健康应用的洞见。
Health Informatics J. 2020 Sep;26(3):2042-2066. doi: 10.1177/1460458219896492. Epub 2020 Jan 10.
9
User Perspectives of Mood-Monitoring Apps Available to Young People: Qualitative Content Analysis.年轻人可用的情绪监测应用的用户观点:定性内容分析。
JMIR Mhealth Uhealth. 2020 Oct 10;8(10):e18140. doi: 10.2196/18140.
10
The Reviews Are in: A Qualitative Content Analysis of Consumer Perspectives on Apps for Bipolar Disorder.评论如下:关于双相情感障碍应用程序消费者观点的定性内容分析
J Med Internet Res. 2017 Apr 7;19(4):e105. doi: 10.2196/jmir.7273.

DOI:10.23970/AHRQEPCTB41
PMID:35675475
Abstract

BACKGROUND

Mental health mobile applications (apps) have the potential to expand the provision of mental health and wellness services to traditionally underserved populations. There is a lack of guidance on how to choose wisely from the thousands of mental health apps without clear evidence of safety, efficacy, and consumer protections.

PURPOSE

This Technical Brief proposes a framework to assess mental health mobile applications with the aim to facilitate selection of apps. The results of applying the framework will yield summary statements on the strengths and limitations of the apps and are intended for use by providers and patients/caregivers.

METHODS

We reviewed systematic reviews of mental health apps and reviewed published and gray literature on mental health app frameworks, and we conducted four Key Informant group discussions to identify gaps in existing mental health frameworks and key framework criteria. These reviews and discussions informed the development of a draft framework to assess mental health apps. Iterative testing and refinement of the framework was done in seven successive rounds through double application of the framework to a total of 45 apps. Items in the framework with an interrater reliability under 90 percent were discussed among the evaluation team for revisions of the framework or guidance.

FINDINGS

Our review of the existing frameworks identified gaps in the assessment of risks that users may face from apps, such as privacy and security disclosures and regulatory safeguards to protect the users. Key Informant discussions identified priority criteria to include in the framework, including safety and efficacy of mental health apps. We developed the Framework to Assist Stakeholders in Technology Evaluation for Recovery (FASTER) to Mental Health and Wellness and it comprises three sections: Section 1. Risks and Mitigation Strategies, assesses the integrity and risk profile of the app; Section 2. Function, focuses on descriptive aspects related to accessibility, costs, organizational credibility, evidence and clinical foundation, privacy/security, usability, functions for remote monitoring of the user, access to crisis services, and artificial intelligence (AI); and Section 3. Mental Health App Features, focuses on specific mental health app features, such as journaling and mood tracking.

CONCLUSION

FASTER may be used to help appraise and select mental health mobile apps. Future application, testing, and refinements may be required to determine the framework’s suitability and reliability across multiple mental health conditions, as well as to account for the rapidly expanding applications of AI, gamification, and other new technology approaches.

摘要