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针对服务不足妇女的数字健康干预措施的制定和实施中的方法学方法。

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

机构信息

School of Nursing, The University of Texas Health at San Antonio, San Antonio, Texas, USA.

Department of Computer Science, The University of Texas San Antonio, San Antonio, Texas, USA.

出版信息

Public Health Nurs. 2024 Nov-Dec;41(6):1612-1621. doi: 10.1111/phn.13410. Epub 2024 Sep 2.

DOI:10.1111/phn.13410
PMID:39221663
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.

摘要

背景

少数民族群体更频繁地使用移动健康应用程序来获取健康信息。一个可能受益于使用移动医疗技术的群体是服务不足的妇女,特别是那些接受社区监管的妇女。

目的

讨论用于解决服务不足妇女健康差距的导航数字健康策略的方法。

创新方法的描述

我们采用交叉视角,确定了在服务不足的人群中使用数字健康技术和人工智能进行研究的策略,特别是那些接受社区监管的人群。

描述其有效性

我们探讨了 (1) 将传统研究方法与精准医学、数字表型和生态瞬时评估相结合的方法;(2) 对人工智能的影响;以及 (3) 数据收集、存储和参与方面的伦理考虑。

讨论

在利用数字健康方法解决服务不足妇女的独特需求时,研究人员必须同时解决与健康、社会和经济差距相关的性别差异,以及坚定不移地关注保护人类受试者。

公众贡献

在德克萨斯州中南部接受社区监管的妇女帮助设计了我们在案例示例中报告的移动健康应用程序 JUN。JUN 以 Junonia 壳命名,Junonia 壳是南德克萨斯州的一种本地壳,它象征着力量、权力和自给自足,就像我们初步研究中的参与者一样。

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