Predictors of 2-Year Drinking Outcomes in a Swedish Treatment Sample

Bodin, Maria; Romelsjö, Anders

doi:10.1159/000101549

Cited by 10 publications

(24 citation statements)

References 71 publications

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“…However, it has been demonstrated that short-term (e.g. 6 months) alcohol outcomes are good predictors for longer-term outcomes [19,34]. Given the nature of substance use disorders and the frequent prevalence of relapse after intensive treatment, it is important to incorporate psycho-education and relapse prevention in residential programs.…”

Section: Discussionmentioning

confidence: 99%

Determinants of relapse and re-admission among alcohol abusers after intensive residential treatment

2010

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Little information is available in Belgium on the number and characteristics of alcohol abusers who contact treatment agencies and on the effectiveness of these services. International research has identified some determinants of relapse and recovery after treatment, but additional research is needed in order to better tailor services to the needs of service users.This study aimed at measuring abstinence and relapse among alcohol abusers (n = 249) after intensive, residential treatment in specialized units in five Belgian psychiatric hospitals. Six month outcomes concerning substance use, psychological health, social support and integration were studied using the EuropASI. Logistic regression analyses were performed to identify predictors of relapse and readmission.Significant reductions in the severity of alcohol and psychological problems were observed, but six months after the initial treatment episode more than half of all respondents (54%) had been using alcohol regularly. The domains 'psychiatric problems' and 'patients' personal perspectives' were the best predictors of relapse and readmission. Also, 'patients' living situations' predicted relapse. Specific variables that independently predicted relapse were 'satisfaction with day activities' and 'number of days with problems due to alcohol'. Less severe psychiatric problems at the start of treatment and more severe psychiatric problems and negative feelings of wellbeing at the time of follow-up were independent predictors of readmission.We conclude that treatment agencies need to recognize the relapsing nature of alcohol abuse and have to organize their services from a continuing care perspective, including specific attention for individuals' psychological needs and day/leisure activities.

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Section: Discussionmentioning

confidence: 99%

Determinants of relapse and re-admission among alcohol abusers after intensive residential treatment

2010

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“…Among a sample of patients in SUD treatment from community, residential, and prison settings, satisfaction was associated with abstinence at 8 months post-intake (Morris & Gannon, 2008). Satisfaction with 12-step oriented treatment in a private, mostly residential setting was also associated with alcohol abstinence at a 2-year follow up (Bodin & Romelsjö, 2007). Substance abuse treatment patients who reported high levels of satisfaction with access and with effectiveness tended to have more hours in treatment, attend more self-help groups, and have a greater likelihood of abstinence at 1 year (Carlson & Gabriel, 2001).…”

Section: Satisfaction With Sud Treatment and Outcomesmentioning

confidence: 98%

Satisfaction with substance use treatment and 12-step groups predicts outcomes

Kendra

Weingardt

Cucciare

et al. 2015

Addictive Behaviors

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“…It is well known that treatment response is not influenced by treatment alone [16]. A number of effect moderators of alcohol treatment outcomes have been identified [17].…”

Section: Introductionmentioning

confidence: 99%

“…These include clients’ baseline sociodemographics, within-treatment variables such as treatment fidelity, and posttreatment factors like social support for curbing drinking activities [18]. Prediction studies have provided a limited number of consistently identified baseline predictors of treatment outcome, including readiness to change problematic alcohol use [19,20,21], self-efficacy [19,20,22], and severity of alcohol use [4,16]. The milestone study by Project MATCH [19] is the best known example.…”

Section: Introductionmentioning

confidence: 99%

Predicting Successful Treatment Outcome of Web-Based Self-help for Problem Drinkers: Secondary Analysis From a Randomized Controlled Trial

Riper¹,

Kramer²,

Keuken³

et al. 2008

J Med Internet Res

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Background Web-based self-help interventions for problem drinking are coming of age. They have shown promising results in terms of cost-effectiveness, and they offer opportunities to reach out on a broad scale to problem drinkers. The question now is whether certain groups of problem drinkers benefit more from such Web-based interventions than others.Objective We sought to identify baseline, client-related predictors of the effectiveness of Drinking Less, a 24/7, free-access, interactive, Web-based self-help intervention without therapist guidance for problem drinkers who want to reduce their alcohol consumption. The intervention is based on cognitive-behavioral and self-control principles.Methods We conducted secondary analysis of data from a pragmatic randomized trial with follow-up at 6 and 12 months. Participants (N = 261) were adult problem drinkers in the Dutch general population with a weekly alcohol consumption above 210 g of ethanol for men or 140 g for women, or consumption of at least 60 g (men) or 40 g (women) one or more days a week over the past 3 months. Six baseline participant characteristics were designated as putative predictors of treatment response: (1) gender, (2) education, (3) Internet use competence (sociodemographics), (4) mean weekly alcohol consumption, (5) prior professional help for alcohol problems (level of problem drinking), and (6) participants’ expectancies of Web-based interventions for problem drinking. Intention-to-treat (ITT) analyses, using last-observation-carried-forward (LOCF) data, and regression imputation (RI) were performed to deal with loss to follow-up. Statistical tests for interaction terms were conducted and linear regression analysis was performed to investigate whether the participants’ characteristics as measured at baseline predicted positive treatment responses at 6- and 12-month follow-ups.Results At 6 months, prior help for alcohol problems predicted a small, marginally significant positive treatment outcome in the RI model only (beta = .18, P = .05, R2 = .11). At 12 months, females displayed modest predictive power in both imputation models (LOCF: beta = .22, P = .045, R2 = .02; regression: beta = .27, P = .01, R2 = .03). Those with higher levels of education exhibited modest predictive power in the LOCF model only (beta = .33, P = .01, R2 = .03).Conclusions Although female and more highly educated users appeared slightly more likely to derive benefit from the Drinking Less intervention, none of the baseline characteristics we studied persuasively predicted a favorable treatment outcome. The Web-based intervention therefore seems well suited for a heterogeneous group of problem drinkers and could hence be offered as a first-step treatment in a stepped-care approach directed at problem drinkers in the general population.Trial Registration International Standard Randomized Controlled Trial Number (ISRCTN): 47285230; http://www.controlled-trials.com/isrctn47285230 (Archived by WebCite at http://www.webcitation.org/5cSR2sMkp).

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Predictors of 2-Year Drinking Outcomes in a Swedish Treatment Sample

Cited by 10 publications

References 71 publications

Determinants of relapse and re-admission among alcohol abusers after intensive residential treatment

Determinants of relapse and re-admission among alcohol abusers after intensive residential treatment

Satisfaction with substance use treatment and 12-step groups predicts outcomes

Predicting Successful Treatment Outcome of Web-Based Self-help for Problem Drinkers: Secondary Analysis From a Randomized Controlled Trial

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