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物质使用障碍康复者对渴望和压力的数字检测:一项定性研究。

Digital detection of craving and stress for individuals in recovery from substance use disorder: A qualitative study.

作者信息

Hampton Jazmin, Eugene Reynalde, Kapadia Nirzari, Caggiano Emily, Geagea Amanda, Watson C James, Carreiro Stephanie

机构信息

Division of Medical Toxicology, Department of Emergency Medicine, University of Massachusetts Chan Medical School, 55 Lake Ave N, Worcester, MA 01655, United States.

Division of Medical Toxicology, Department of Emergency Medicine, Maine Medical Center, 22 Bramhall St, Portland, ME 04102, United States.

出版信息

Drug Alcohol Depend Rep. 2025 Apr 19;15:100336. doi: 10.1016/j.dadr.2025.100336. eCollection 2025 Jun.

Abstract

AIMS

This study aims to 1) categorize experiences with stress and craving during substance use disorder (SUD) treatment, 2) explore perceptions of both clients and treatment providers towards a digital detection system for stress and craving during recovery, and 3) identify barriers and facilitators to adopting this technology during SUD treatment.

METHODS

This was a qualitative study of people in recovery from SUD (clients) and healthcare providers from outpatient treatment facilities in the northeast United States. Clients were asked to use a digital health tool that detects physiological biomarkers of stress and craving (RAE Health) for 30 days alongside their usual treatment and to engage in a semi-structured interview upon completion. Providers were asked to participate in a one-time focus group.

RESULTS

Thirty-one clients completed a semi-structured interview, and eleven providers participated in two focus groups. Four core themes emerged from the qualitative data: categorization of experiences with stress and craving, perceptions of digital detection systems, perceived barriers and facilitators of the system, and desired features of the system. Overall, client and provider perception were positive, and acceptability of the digital health tool was high.

CONCLUSIONS

A digital detection system for stress and craving during SUD recovery was perceived favorably by both clients and providers, with clients citing heightened awareness and providers citing opportunities for personalized care as promising use cases. Future iterations of digital health systems for this population should consider the ideal "dose" of the intervention to maximize benefit.

摘要

目的

本研究旨在1)对物质使用障碍(SUD)治疗期间的压力和渴望体验进行分类,2)探讨客户和治疗提供者对康复期间压力和渴望数字检测系统的看法,3)确定在SUD治疗期间采用该技术的障碍和促进因素。

方法

这是一项针对美国东北部门诊治疗机构中从SUD康复的人群(客户)和医疗保健提供者的定性研究。要求客户在接受常规治疗的同时,使用一种检测压力和渴望生理生物标志物的数字健康工具(RAE Health)30天,并在完成后进行半结构化访谈。要求提供者参加一次焦点小组讨论。

结果

31名客户完成了半结构化访谈,11名提供者参加了两个焦点小组讨论。定性数据中出现了四个核心主题:压力和渴望体验的分类、数字检测系统的看法、系统的感知障碍和促进因素以及系统的期望功能。总体而言,客户和提供者的看法是积极的,数字健康工具的可接受性很高。

结论

SUD康复期间用于压力和渴望的数字检测系统受到客户和提供者的好评,客户提到提高了意识,提供者提到个性化护理的机会是很有前景的用例。针对这一人群的数字健康系统的未来迭代应考虑干预的理想“剂量”,以最大化效益。

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本文引用的文献

1
Stress and substance use disorders: risk, relapse, and treatment outcomes.
J Clin Invest. 2024 Aug 15;134(16):e172883. doi: 10.1172/JCI172883.
2
Evaluation of a digital tool for detecting stress and craving in SUD recovery: An observational trial of accuracy and engagement.
Drug Alcohol Depend. 2024 Aug 1;261:111353. doi: 10.1016/j.drugalcdep.2024.111353. Epub 2024 Jun 15.
3
Closing the Digital Divide in Interventions for Substance Use Disorder.
J Psychiatr Brain Sci. 2024;9(1). doi: 10.20900/jpbs.20240002. Epub 2024 Mar 26.
4
Mobile Health Interventions for Substance Use Disorders.
Annu Rev Clin Psychol. 2024 Jul;20(1):49-76. doi: 10.1146/annurev-clinpsy-080822-042337. Epub 2024 Jul 2.
5
Leveraging mHealth and Wearable Sensors to Manage Alcohol Use Disorders: A Systematic Literature Review.
Healthcare (Basel). 2022 Sep 1;10(9):1672. doi: 10.3390/healthcare10091672.
6
Technology-mediated just-in-time adaptive interventions (JITAIs) to reduce harmful substance use: a systematic review.
Addiction. 2022 May;117(5):1220-1241. doi: 10.1111/add.15687. Epub 2021 Oct 11.
7
Realize, Analyze, Engage (RAE): A Digital Tool to Support Recovery from Substance Use Disorder.
J Psychiatr Brain Sci. 2021;6. doi: 10.20900/jpbs.20210002. Epub 2021 Feb 24.
8
Current reporting of usability and impact of mHealth interventions for substance use disorder: A systematic review.
Drug Alcohol Depend. 2020 Oct 1;215:108201. doi: 10.1016/j.drugalcdep.2020.108201. Epub 2020 Aug 2.
9
Wearable sensor-based detection of stress and craving in patients during treatment for substance use disorder: A mixed methods pilot study.
Drug Alcohol Depend. 2020 Apr 1;209:107929. doi: 10.1016/j.drugalcdep.2020.107929. Epub 2020 Mar 3.
10
Dose-response research in digital health interventions: Concepts, considerations, and challenges.
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