Literature DB >> 19874170

A simple risk scoring system for prediction of relapse after inpatient alcohol treatment.

Mads Uffe Pedersen1, Morten Hesse.   

Abstract

Predicting relapse after alcoholism treatment can be useful in targeting patients for aftercare services. However, a valid and practical instrument for predicting relapse risk does not exist. Based on a prospective study of alcoholism treatment, we developed the Risk of Alcoholic Relapse Scale (RARS) using items taken from the Addiction Severity Index and some basic demographic information. The RARS was cross-validated using two non-overlapping samples, and tested for its ability to predict relapse across different models of treatment. The RARS predicted relapse to drinking within 6 months after alcoholism treatment in both the original and the validation sample, and in a second validation sample it predicted admission to new treatment 3 years after treatment. The RARS can identify patients at high risk of relapse who need extra aftercare and support after treatment.

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Year:  2009        PMID: 19874170     DOI: 10.3109/10550490903205983

Source DB:  PubMed          Journal:  Am J Addict        ISSN: 1055-0496


  4 in total

1.  What Do You Say Before You Relapse? How Language Use in a Peer-to-peer Online Discussion Forum Predicts Risky Drinking among Those in Recovery.

Authors:  Rachel Kornfield; Catalina L Toma; Dhavan V Shah; Tae Joon Moon; David H Gustafson
Journal:  Health Commun       Date:  2017-08-09

2.  Substance abuse relapse in Oxford House recovery homes: A survival analysis evaluation.

Authors:  Ronald Harvey; Leonard A Jason; Joseph R Ferrari
Journal:  Subst Abus       Date:  2015-08-26       Impact factor: 3.716

3.  Predictive modeling of addiction lapses in a mobile health application.

Authors:  Ming-Yuan Chih; Timothy Patton; Fiona M McTavish; Andrew J Isham; Chris L Judkins-Fisher; Amy K Atwood; David H Gustafson
Journal:  J Subst Abuse Treat       Date:  2013-09-10

Review 4.  Predictive modeling in e-mental health: A common language framework.

Authors:  Dennis Becker; Ward van Breda; Burkhardt Funk; Mark Hoogendoorn; Jeroen Ruwaard; Heleen Riper
Journal:  Internet Interv       Date:  2018-03-08
  4 in total

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