Literature DB >> 21797813

Characteristics of problem drinkers in e-therapy versus face-to-face treatment.

Marloes G Postel1, Hein A de Haan, Elke D Ter Huurne, Eni S Becker, Cor A J de Jong.   

Abstract

BACKGROUND: The availability of online treatment programs offers the potential to reach more problem drinkers. This study compared the client populations of an e-therapy program (asynchronous client-therapist communication via the Internet) and a face-to-face treatment program.
OBJECTIVE: To determine whether e-therapy and face-to-face groups differed from each other and changed over time.
METHODS: We compared the baseline characteristics of four naturalistic groups (N = 4593): two e-therapy groups (2005-2006 and 2008-2009) and two consecutive series of ambulant face-to-face clients admitted for treatment as usual. The characteristics we were interested in were gender, age, education level, working situation, and earlier treatment for drinking problems.
RESULTS: The results showed that the baseline characteristics of e-therapy and face-to-face clients differed by gender, education level, work situation, prior alcohol treatment, and age. We also found that both e-therapy groups differed over time by gender, work situation, and prior alcohol treatment.
CONCLUSIONS: The e-therapy program successfully attracted clients who were different from those who were represented in regular face-to-face alcohol treatment services. This indicates that e-therapy decreases the barriers to treatment facilities and enhances the accessibility. However, the e-therapy population changed over time. Although the e-therapy program still reached an important new group of clients in 2008-2009, this group showed more overlap with the traditional face-to-face group of clients probably as a result of improved acceptance of e-therapy in the general population. SCIENTIFIC SIGNIFICANCE: Although e-therapy seems to be better accepted in the general population, anonymous treatment seems necessary to reach a broader range of problem drinkers.

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Year:  2011        PMID: 21797813     DOI: 10.3109/00952990.2011.600388

Source DB:  PubMed          Journal:  Am J Drug Alcohol Abuse        ISSN: 0095-2990            Impact factor:   3.829


  6 in total

Review 1.  Computer-based versus in-person interventions for preventing and reducing stress in workers.

Authors:  Anootnara Talkul Kuster; Therese K Dalsbø; Bao Yen Luong Thanh; Arnav Agarwal; Quentin V Durand-Moreau; Ingvild Kirkehei
Journal:  Cochrane Database Syst Rev       Date:  2017-08-30

2.  Attrition in web-based treatment for problem drinkers.

Authors:  Marloes G Postel; Hein A de Haan; Elke D ter Huurne; Job van der Palen; Eni S Becker; Cor A J de Jong
Journal:  J Med Internet Res       Date:  2011-12-27       Impact factor: 5.428

3.  How to Increase Reach and Adherence of Web-Based Interventions: A Design Research Viewpoint.

Authors:  Geke D S Ludden; Thomas J L van Rompay; Saskia M Kelders; Julia E W C van Gemert-Pijnen
Journal:  J Med Internet Res       Date:  2015-07-10       Impact factor: 5.428

4.  Online and Mobile Interventions for Problem Gambling, Alcohol, and Drugs: A Systematic Review.

Authors:  Isabelle Giroux; Annie Goulet; Jonathan Mercier; Christian Jacques; Stéphane Bouchard
Journal:  Front Psychol       Date:  2017-06-09

5.  Development of a web-based intervention for the indicated prevention of depression.

Authors:  Saskia M Kelders; Wendy T M Pots; Maarten Jan Oskam; Ernst T Bohlmeijer; Julia E W C van Gemert-Pijnen
Journal:  BMC Med Inform Decis Mak       Date:  2013-02-20       Impact factor: 2.796

6.  Efficacy of a Web-Based Intervention for Depressive Disorders: Three-Arm Randomized Controlled Trial Comparing Guided and Unguided Self-Help With Waitlist Control.

Authors:  Rico Krämer; Lea Köhne-Volland; Anna Schumacher; Stephan Köhler
Journal:  JMIR Form Res       Date:  2022-04-04
  6 in total

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