Methodological approaches in developing and implementing digital health interventions amongst underserved women.

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-11-01 Epub Date: 2024-09-02 DOI:10.1111/phn.13410

Allison D Crawford, Rocky Slavin, Maryam Tabar, Kavita Radhakrishnan, Min Wang, Ashlynn Estrada, Jacqueline M McGrath

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引用次数: 0

Abstract

Background: Minority populations are utilizing mobile health applications more frequently to access health information. One group that may benefit from using mHealth technology is underserved women, specifically those on community supervision.

Objective: Discuss methodological approaches for navigating digital health strategies to address underserved women's health disparities.

Description of the innovative method: Using an intersectional lens, we identified strategies for conducting research using digital health technology and artificial intelligence amongst the underserved, particularly those with community supervision.

Description of its effectiveness: We explore (1) methodological approaches that combine traditional research methods with precision medicine, digital phenotyping, and ecological momentary assessment; (2) implications for artificial intelligence; and (3) ethical considerations with data collection, storage, and engagement.

Discussion: Researchers must address gendered differences related to health, social, and economic disparities concurrently with an unwavering focus on the protection of human subjects when addressing the unique needs of underserved women while utilizing digital health methodologies.

Public contribution: Women on community supervision in South Central Texas helped inform the design of JUN, the mHealth app we reported in the case exemplar. JUN is named after the Junonia shell, a native shell to South Texas, which means strength, power, and self-sufficiency, like the participants in our preliminary studies.

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在得不到充分服务的妇女中制定和实施数字健康干预措施的方法。

背景：少数群体越来越频繁地使用移动医疗应用程序来获取健康信息。使用移动医疗技术可能受益的一个群体是服务不足的妇女，特别是那些接受社区监督的妇女：目的：讨论引导数字健康战略的方法，以解决服务不足妇女的健康差异问题：使用交叉视角，我们确定了利用数字健康技术和人工智能在未得到充分服务的人群中开展研究的策略，特别是那些接受社区监督的人群：我们探索了（1）将传统研究方法与精准医疗、数字表型和生态瞬间评估相结合的方法论；（2）人工智能的意义；以及（3）数据收集、存储和参与的伦理考虑：讨论：研究人员在利用数字健康方法满足得不到充分服务的妇女的独特需求时，必须同时解决与健康、社会和经济差距相关的性别差异问题，并坚定不移地关注对人类受试者的保护：公众贡献：德克萨斯州中南部接受社区监督的妇女为我们在案例范例中报告的移动医疗应用程序 JUN 的设计提供了帮助。JUN "以得克萨斯州南部的一种原生贝壳 "Junonia "命名。"Junonia "就像我们初步研究的参与者一样，意味着力量、权力和自立。

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

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.