使用智能手表应用程序了解青少年药物使用情况:混合方法可行性研究

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES JMIR Human Factors Pub Date : 2024-06-20 DOI:10.2196/50795
Sahiti Kunchay, Ashley N Linden-Carmichael, Saeed Abdullah
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引用次数: 0

摘要

背景:与其他年龄组相比,美国年轻人使用药物的比例最高。大量和频繁使用药物可能与一系列急性和慢性健康及心理健康问题有关。无处不在的技术的最新进展激发了人们对使用基于技术的数据收集工具来了解药物使用情况和相关危害的兴趣,并促进了这方面的创新。现有的细粒度真实世界数据收集方法主要依赖于使用智能手机来研究和了解青壮年的药物使用情况。智能手表等可穿戴设备作为该领域的数据收集平台显示出巨大的潜力,但仍未得到充分利用:本研究旨在描述一款基于智能手表的数据收集应用程序的设计和用户评估,该应用程序使用生态学瞬间评估来研究年轻人在日常生活中的药物使用情况:本研究采用了两个阶段的迭代设计和可接受性评估流程,对象为近期报告使用酒精或大麻的年轻人(18-25 岁)。在第一阶段,参与者(8/15,53%)在其 Apple 手表上使用数据收集应用程序 14 天,报告他们的药物使用模式、药物使用的社会环境以及社会心理风险因素(如情感)。14 天的使用结束后,参与者完成了用户体验调查和半结构化访谈,以记录他们使用应用程序的观点和体验。这一阶段的形成性反馈为应用程序的功能修改和完善提供了依据。在第二阶段,又有一批人(7/15,47%)使用了修改后的应用程序 14 天,并在应用程序使用期结束后通过调查和访谈提供了反馈意见:对应用程序总体使用模式的分析表明,参与者对应用程序的使用率高且持续,在 14 天的数据收集中,参与者平均使用了 11.73 天(标准差 2.60)。在整个研究过程中,参与者报告了 67 次药物使用情况,我们的分析表明,参与者能够在不同的时间和情境下对生态瞬间评估提示做出反应。我们的用户体验调查结果表明,参与者认为该应用程序可用且实用。应用程序使用指标和用户评价得分的比较表明,迭代应用程序设计对用户体验产生了可衡量的积极影响。参与者访谈中的定性数据强调了记录药物使用模式的价值、对日常生活的干扰较小、总体负担最小、对平台的偏好(智能手机与智能手表)以及与隐私和社交环境中的应用程序使用有关的观点:这项研究表明,使用基于智能手表的应用程序在年轻人中收集密集、纵向的药物使用数据是可以接受的。研究结果证明了智能手表作为一种新型平台的实用性,它能以最小的负担了解药物使用等敏感且经常被污名化的行为。
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Using a Smartwatch App to Understand Young Adult Substance Use: Mixed Methods Feasibility Study.

Background: Young adults in the United States exhibit some of the highest rates of substance use compared to other age groups. Heavy and frequent substance use can be associated with a host of acute and chronic health and mental health concerns. Recent advances in ubiquitous technologies have prompted interest and innovation in using technology-based data collection instruments to understand substance use and associated harms. Existing methods for collecting granular, real-world data primarily rely on the use of smartphones to study and understand substance use in young adults. Wearable devices, such as smartwatches, show significant potential as platforms for data collection in this domain but remain underused.

Objective: This study aims to describe the design and user evaluation of a smartwatch-based data collection app, which uses ecological momentary assessments to examine young adult substance use in daily life.

Methods: This study used a 2-phase iterative design and acceptability evaluation process with young adults (aged 18-25 y) reporting recent alcohol or cannabis use. In phase 1, participants (8/15, 53%) used the data collection app for 14 days on their Apple Watches to report their substance use patterns, social contexts of substance use, and psychosocial risk factors (eg, affect). After this 14-day deployment, the participants completed a user experience survey and a semistructured interview to record their perspectives and experiences of using the app. Formative feedback from this phase informed feature modification and refinement of the app. In phase 2, an additional cohort (7/15, 47%) used the modified app for 14 days and provided feedback through surveys and interviews conducted after the app use period.

Results: Analyses of overall app use patterns indicated high, consistent use of the app, with participants using the app for an average of 11.73 (SD 2.60) days out of 14 days of data collection. Participants reported 67 instances of substance use throughout the study, and our analysis indicates that participants were able to respond to ecological momentary assessment prompts in diverse temporal and situational contexts. Our findings from the user experience survey indicate that participants found the app usable and functional. Comparisons of app use metrics and user evaluation scores indicate that the iterative app design had a measurable and positive impact on users' experience. Qualitative data from the participant interviews highlighted the value of recording substance use patterns, low disruption to daily life, minimal overall burden, preference of platforms (smartphones vs smartwatches), and perspectives relating to privacy and app use in social contexts.

Conclusions: This study demonstrated the acceptability of using a smartwatch-based app to collect intensive, longitudinal substance use data among young adults. The findings document the utility of smartwatches as a novel platform to understand sensitive and often-stigmatized behaviors such as substance use with minimal burden.

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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
期刊最新文献
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