智能手机应用程序(S-Check)对澳大利亚甲基苯丙胺成人消费者实际和预期求助以及改变甲基苯丙胺使用动机的影响:随机候选对照试验》。

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2024-07-03 DOI:10.2196/55663
Krista J Siefried, Florence Bascombe, Brendan Clifford, Zhixin Liu, Peter Middleton, Frances Kay-Lambkin, Jack Freestone, Daniel Herman, Michael Millard, Maureen Steele, Liam Acheson, Carl Moller, Nicky Bath, Nadine Ezard
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引用次数: 0

摘要

背景需要采取干预措施来解决甲基苯丙胺吸食者寻求治疗延迟和治疗覆盖率低的问题:我们旨在确定一种基于智能手机的自我管理干预措施--"S-Check 应用程序 "能否提高寻求帮助的积极性和改变甲基苯丙胺使用的动机,并确定与应用程序参与相关的因素:本研究是一项为期 28 天的随机候选对照试验。居住在澳大利亚、上个月至少使用过一次甲基苯丙胺的成年人均同意从安卓或 iOS 应用商店免费下载该应用程序。被随机分配到干预组的人可以立即使用 S-Check 应用程序,对照组的人要等待 28 天才能使用,然后所有人都可以使用到第 56 天。实际求助和求助意向由修改后的实际求助问卷(mAHSQ)和修改后的一般求助问卷进行评估,改变甲基苯丙胺使用的动机由修改后的准备度标尺进行评估。逻辑回归模型比较了两组在第 28 天时实际求助、求助意向和改变动机的几率。次要结果是最常使用的应用程序功能、甲基苯丙胺使用情况、应用程序的可行性和可接受性,以及 S-Check 应用程序参与度与参与者人口统计学特征和甲基苯丙胺使用特征之间的关联:共有 560 名参与者下载了该应用程序;259 人(46.3%)完成了电子同意和基线;84 人(32.4%)提供了第 28 天的数据。与对照组相比,即时访问组的参与者在第 28 天更有可能寻求专业帮助(mAHSQ)(n=15,45.5% vs n=12,23.5%;χ21=4.42,P=.04)。在主要的逻辑回归分析中,两组之间实际寻求帮助的几率、寻求帮助的意向或改变甲基苯丙胺吸食的动机没有明显差异,而在辅助分析中,估算数据集显示,与等待名单对照组相比,立即获得帮助组的参与者寻求专业帮助的几率有明显差异(调整后的几率比为 2.64,95% CI 为 1.19-5.83,P=.02)。对于基线时未寻求帮助的参与者来说,在应用程序中每待一分钟,到第 28 天时寻求专业帮助的可能性就会增加 8%(比值比 1.08,95% CI 1.02-1.22,P=.04)。在干预组中,使用应用程序的时间每增加 10 分钟,使用甲基苯丙胺的天数就会减少 0.4 天(回归系数 [β] -0.04,P=.02):S-Check应用程序是针对澳大利亚吸食甲基苯丙胺的成年人的一种可行的低资源自控干预措施。研究损耗较高,虽然这在移动健康干预中很常见,但仍有必要对 S-Check 应用程序进行更大规模的研究:澳大利亚新西兰临床试验注册中心 ACTRN12619000534189;https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=377288&isReview=true。
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Effect of a Smartphone App (S-Check) on Actual and Intended Help-Seeking and Motivation to Change Methamphetamine Use Among Adult Consumers of Methamphetamine in Australia: Randomized Waitlist-Controlled Trial.

Background: Interventions are required that address delays in treatment-seeking and low treatment coverage among people consuming methamphetamine.

Objective: We aim to determine whether a self-administered smartphone-based intervention, the "S-Check app" can increase help-seeking and motivation to change methamphetamine use, and determine factors associated with app engagement.

Methods: This study is a randomized, 28-day waitlist-controlled trial. Consenting adults residing in Australia who reported using methamphetamine at least once in the last month were eligible to download the app for free from Android or iOS app stores. Those randomized to the intervention group had immediate access to the S-Check app, the control group was wait-listed for 28 days before gaining access, and then all had access until day 56. Actual help-seeking and intention to seek help were assessed by the modified Actual Help Seeking Questionnaire (mAHSQ), modified General Help Seeking Questionnaire, and motivation to change methamphetamine use by the modified readiness ruler. χ2 comparisons of the proportion of positive responses to the mAHSQ, modified General Help Seeking Questionnaire, and modified readiness ruler were conducted between the 2 groups. Logistic regression models compared the odds of actual help-seeking, intention to seek help, and motivation to change at day 28 between the 2 groups. Secondary outcomes were the most commonly accessed features of the app, methamphetamine use, feasibility and acceptability of the app, and associations between S-Check app engagement and participant demographic and methamphetamine use characteristics.

Results: In total, 560 participants downloaded the app; 259 (46.3%) completed eConsent and baseline; and 84 (32.4%) provided data on day 28. Participants in the immediate access group were more likely to seek professional help (mAHSQ) at day 28 than those in the control group (n=15, 45.5% vs n=12, 23.5%; χ21=4.42, P=.04). There was no significant difference in the odds of actual help-seeking, intention to seek help, or motivation to change methamphetamine use between the 2 groups on the primary logistic regression analyses, while in the ancillary analyses, the imputed data set showed a significant difference in the odds of seeking professional help between participants in the immediate access group compared to the waitlist control group (adjusted odds ratio 2.64, 95% CI 1.19-5.83, P=.02). For participants not seeking help at baseline, each minute in the app increased the likelihood of seeking professional help by day 28 by 8% (ratio 1.08, 95% CI 1.02-1.22, P=.04). Among the intervention group, a 10-minute increase in app engagement time was associated with a decrease in days of methamphetamine use by 0.4 days (regression coefficient [β] -0.04, P=.02).

Conclusions: The S-Check app is a feasible low-resource self-administered intervention for adults in Australia who consume methamphetamine. Study attrition was high and, while common in mobile health interventions, warrants larger studies of the S-Check app.

Trial registration: Australian New Zealand Clinical Trials Registry ACTRN12619000534189; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=377288&isReview=true.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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