Mundt James C, Moore Heidi K, Bean Pamela
Healthcare Technology Systems, Inc. Madison, WI, USA.
J Subst Abuse Treat. 2006 Jan;30(1):21-9. doi: 10.1016/j.jsat.2005.08.010.
Substance-abusing patients often relapse soon after undergoing treatment, thus requiring intensive aftercare or re-treatment. More efficient monitoring and follow-up of patients could contribute to better treatment outcomes. This study evaluated the feasibility of a computer-automated interactive voice response (IVR) system to reduce relapse following discharge from residential treatment. Sixty participants completing a residential treatment program and meeting DSM-IV criteria for alcohol dependence were randomized to three groups: (1) daily IVR reporting with personal follow-up on noncompliant callers; (2) daily IVR reporting without follow-up; or (3) no IVR reporting (control group). At 30, 90, and 180 days after discharge, participants were interviewed to obtain timeline follow-back drinking data and completed the Work and Social Adjustment Scale, Obsessive-Compulsive Drinking Scale, SF-36, and Drinker Inventory of Consequences. This pilot study suggests that using automated IVR technology to monitor clients after discharge is feasible and warrants further research and development. IVR systems also provide the potential for delivering individualized feedback.
滥用药物的患者在接受治疗后往往很快就会复发，因此需要强化后续护理或再次治疗。对患者进行更有效的监测和随访有助于取得更好的治疗效果。本研究评估了一种计算机自动交互式语音应答（IVR）系统在减少住院治疗出院后复发方面的可行性。60名完成住院治疗项目且符合《精神疾病诊断与统计手册》第四版（DSM-IV）酒精依赖标准的参与者被随机分为三组：（1）每日通过IVR报告，并对未合规的来电者进行个人随访；（2）每日通过IVR报告但无随访；或（3）无IVR报告（对照组）。在出院后30天、90天和180天，对参与者进行访谈以获取时间线追溯饮酒数据，并完成工作与社会适应量表、强迫性饮酒量表、SF-36健康调查简表和饮酒后果量表。这项初步研究表明，出院后使用自动IVR技术监测患者是可行的，值得进一步研究和开发。IVR系统还具有提供个性化反馈的潜力。
