Refining a digital phenotyping app for measurement of suicidal behavior among minoritized youth and caregivers in a community health system.

IF 2.2 Q2 HEALTH CARE SCIENCES & SERVICES
mHealth Pub Date : 2025-03-21 eCollection Date: 2025-01-01 DOI:10.21037/mhealth-24-39
Nicholas J Carson, Dharma E Cortés, Peyton Williams, Varshini Odayar, Lecsy Gonzalez, Eric Schlossberg, Lily Xie, Katie E Holmes, Michelle D Holmes, David R Williams, Todd G Reid
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Abstract

Background: Youth from racial and ethnic minoritized groups have experienced an increase in suicidal thoughts and behaviors (STBs) in recent years. Mobile health technology (mHealth) and digital phenotyping hold promise as means to measure STBs and related risk factors in these groups. Such tools are more likely to be successful when designed with input from the youth and caregivers who will use the technology. This study aimed to refine a digital phenotyping smartphone application, GeoMood, customized to measure STBs and relevant risk factors, such as family conflict and experiences of discrimination. The app was designed to collect passive data from smartphones (e.g., location, phone usage), as well as short-response survey data via ecological momentary assessments (EMAs) to further understand digital phenotypes of STBs.

Methods: We conducted semi-structured qualitative interviews with five youths of color and five caregivers to obtain feedback and refine the smartphone application, GeoMood. The ultimate goal of the interviews was to assess the app's potential acceptability from the two sets of users for whom the app was developed. Both youth and caregivers reviewed the youth version, which differs from the caregiver version content by the inclusion of items addressing suicidal behavior. Interviews were analyzed using a qualitative manifest analytic approach.

Results: Youth found the app to be an acceptable tool for measuring STBs. Caregivers were concerned about assessing self-injury explicitly.

Conclusions: Youth and caregiver feedback confirms openness by participating youth to using mHealth tools for measurement of STBs, but caregivers experience hesitation with the direct questions of such tools. Feedback was useful in refining the mobile tool and suggests multimodal assessment (text and emoji prompts) may appeal to users. Results from this study may improve the acceptability of future apps designed to measure and address disparities among particularly vulnerable groups of youth.

改进数字表现型应用程序,用于测量社区卫生系统中少数族裔青年和护理人员的自杀行为。
背景:近年来,来自种族和少数民族群体的青少年经历了自杀念头和行为(STBs)的增加。移动医疗技术(mHealth)和数字表型分析有望成为衡量这些群体中性传播感染和相关风险因素的手段。当这些工具在设计时得到将使用该技术的青少年和护理人员的投入时,它们更有可能取得成功。本研究旨在完善数字表型智能手机应用程序GeoMood,定制用于测量stb和相关风险因素,如家庭冲突和歧视经历。该应用程序旨在收集来自智能手机的被动数据(例如,位置,电话使用情况),以及通过生态瞬时评估(ema)的短响应调查数据,以进一步了解stb的数字表型。方法:我们对5名有色人种青少年和5名护理人员进行了半结构化的定性访谈,以获得反馈并完善智能手机应用程序GeoMood。访谈的最终目的是评估应用程序的潜在可接受性,这两组用户是应用程序的开发对象。青少年和照顾者都审查了青少年版本,它与照顾者版本的内容不同,因为它包含了解决自杀行为的项目。访谈分析采用定性显式分析方法。结果:年轻人发现这个应用程序是一个可以接受的测量stb的工具。护理人员关心明确评估自伤。结论:青年和护理人员的反馈证实了参与青年对使用移动健康工具测量性传播感染的开放性,但护理人员对此类工具的直接问题感到犹豫。反馈对改进移动工具很有用,并表明多模式评估(文本和表情符号提示)可能会吸引用户。这项研究的结果可能会提高未来应用程序的可接受性,这些应用程序旨在衡量和解决青年群体中特别脆弱的差距。
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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CiteScore
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