Literature DB >> 23215735

Computer-based recovery support for patients receiving residential treatment for alcohol/drug dependence: relationship between program use and outcomes.

Audrey A Klein1, Justin J Anker.   

Abstract

OBJECTIVE: This analysis of administrative data examined whether use of a Web-based recovery support program was related to self-reported post-treatment alcohol use among patients attending residential treatment for a substance use disorder.
MATERIALS AND METHODS: The program delivered individually tailored clinical content in a multimedia format over the initial 18 months after discharge from treatment. Post-treatment logins to the program and access of clinical content were measured, as was post-treatment alcohol use.
RESULTS: Use of the program was frequent in the first 30 days following treatment but steadily decreased over time. Regression analyses revealed a significant relationship between the number of program logins and self-reported alcohol use in the first 6 months following treatment when controlling for other covariates related to alcohol use.
CONCLUSION: These results replicate a previous study of the My Ongoing Recovery Experience (MORE(®)) program (Hazelden, Center City, MN) and suggest that computerized support programs hold therapeutic potential for patients with alcohol/drug dependence.

Entities:  

Mesh:

Year:  2012        PMID: 23215735     DOI: 10.1089/tmj.2012.0107

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  5 in total

1.  Customized recommendations and reminder text messages for automated, computer-based treatment during methadone.

Authors:  Brent A Moore; Frank D Buono; Destiny M B Printz; Daniel P Lloyd; David A Fiellin; Christopher J Cutter; Richard S Schottenfeld; Declan T Barry
Journal:  Exp Clin Psychopharmacol       Date:  2017-12       Impact factor: 3.157

2.  Comparison of Healthcare Resource Utilization Between Patients Who Engaged or Did Not Engage With a Prescription Digital Therapeutic for Opioid Use Disorder.

Authors:  Fulton F Velez; Sam Colman; Laura Kauffman; Charles Ruetsch; Kathryn Anastassopoulos; Yuri A Maricich
Journal:  Clinicoecon Outcomes Res       Date:  2021-10-29

3.  The Architecture of an Automatic eHealth Platform With Mobile Client for Cerebrovascular Disease Detection.

Authors:  Xingce Wang; Rongfang Bie; Yunchuan Sun; Zhongke Wu; Mingquan Zhou; Rongfei Cao; Lizhi Xie; Dong Zhang
Journal:  JMIR Mhealth Uhealth       Date:  2013-08-09       Impact factor: 4.773

4.  Breaking Open the Black Box: Isolating the Most Potent Features of a Web and Mobile Phone-Based Intervention for Depression, Anxiety, and Stress.

Authors:  Alexis E Whitton; Judith Proudfoot; Janine Clarke; Mary-Rose Birch; Gordon Parker; Vijaya Manicavasagar; Dusan Hadzi-Pavlovic
Journal:  JMIR Ment Health       Date:  2015-03-04

Review 5.  e-Addictology: An Overview of New Technologies for Assessing and Intervening in Addictive Behaviors.

Authors:  Florian Ferreri; Alexis Bourla; Stephane Mouchabac; Laurent Karila
Journal:  Front Psychiatry       Date:  2018-03-01       Impact factor: 4.157

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.