Molfenter Todd, Brown Roger, O'Neill Andrew, Kopetsky Ed, Toy Alexander
Department of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Avenue, Madison, WI 53706, USA.
Schools of Nursing, Medicine and Public Health, University of Wisconsin-Madison, 4187 Cooper Hall, 701 Highland Avenue, Madison, WI 53705, USA.
Int J Telemed Appl. 2018 Mar 11;2018:3932643. doi: 10.1155/2018/3932643. eCollection 2018.
Telemedicine applications offer innovative approaches for treating and reducing the effects of substance use disorders (SUDs). This analysis assessed the interest in and use of 11 telemedicine applications in a sample of 363 SUD organizations in the United States of America. Fifty percent of the organizations expressed high rates of interest in seven of the telemedicine applications, demonstrating the appeal of telemedicine within this field. The top three self-reported telemedicine applications being used were (1) computerized screening/assessments (44.6%), (2) telephone-based recovery supports (29.5%), and (3) telephone-based therapy (28.37%). The greatest gaps between interest and use were for (1) texting appointment reminders (55.2% differential), (2) mobile apps for posttreatment recovery (46.6% differential), and (3) recovery support chats (46.6% differential). A Latent Class Analysis (LCA) of the organizations' telemedicine use behavior identified three groupings: "Innovators" that were using a range of technologies ( = 27, 7.4%); "Technology Traditionalists" that limited their use to telephone, video, and web portal technologies ( = 101, 27.8%); and "Low Tech" that had low overall technology use ( = 235, 64.7%). Future studies should build on how telemedicine could be applied in SUD settings, organizational behaviors towards its adoption, and telemedicine's effect on treatment adherence and clinical outcomes.
远程医疗应用为治疗和减轻物质使用障碍(SUDs)的影响提供了创新方法。本分析评估了美国363个SUD组织样本对11种远程医疗应用的兴趣和使用情况。50%的组织对其中7种远程医疗应用表现出高兴趣率,表明远程医疗在该领域具有吸引力。自我报告使用的前三种远程医疗应用分别是:(1)计算机化筛查/评估(44.6%),(2)基于电话的康复支持(29.5%),以及(3)基于电话的治疗(28.37%)。兴趣与使用之间差距最大的是:(1)短信预约提醒(差异55.2%),(2)治疗后康复的移动应用程序(差异46.6%),以及(3)康复支持聊天(差异46.6%)。对各组织远程医疗使用行为的潜在类别分析(LCA)确定了三个分组:使用一系列技术的“创新者”(n = 27,7.4%);将使用限于电话、视频和网络门户技术的“技术传统主义者”(n = 101,27.8%);以及总体技术使用较低的“低技术使用者”(n = 235,64.7%)。未来的研究应基于远程医疗如何应用于SUD环境、组织对其采用的行为,以及远程医疗对治疗依从性和临床结果的影响。