Clinical trial NCT01891045: Impact of Online Patient Feedback (OQ) to Therapist
Official title: Addiction Treatment Dropout Prevention - Impact of Online Patient Feedback (OQ-45.2) to Therapist
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Drug Addiction
Drug Abuse
Keywords: Psychotherapy
Drug addiction
Drop-out
OQ-45.2
Clinical trial
Randomized Controlled Trail
Lead sponsor: Oslo University Hospital
Sponsor class: OTHER
Collaborators: name: University of Oslo
First posted: 2013-07-02
Enrollment: 160
Sex: ALL
Minimum age (years): 16
Maximum age (years): 26
Standard ages: CHILD
ADULT
Accepts healthy volunteers: no
Allocation: RANDOMIZED
Intervention model: PARALLEL
Primary purpose: TREATMENT

Brief summary: Dropout represents one of the largest problems in substance abuse treatment. International and Nordic research show that only 20 - 40 % of substance abusers complete treatment as intended. At the same time, one of the most consistent factors of favourable post-treatment outcome is treatment completion. In spite of the serious and continuous challenge dropout represents the phenomena is not well understood and there is a need to explore more of the factors that influence dropout and how it can be counteracted. As also stated: "...effective methods for reducing the problem of dropouts from treatment is one more area in need of further research" (NOU 2003:4, s 77).

For the general field of mental health one of the most important innovations involves providing therapists with patient feedback about their progress. The most well-established and widely researched feedback system is the Outcome Questionnaire (OQ-45.2). The system has been shown to improve treatment outcomes, including reduced treatment dropout and length of treatment, but the system is yet to be utilized with a substance abusing patient group. The aim of the present study is to examine the usefulness of OQ-45.2 with substance abusing patients.

Detailed description: Hypotheses and research questions

1. The OQ-45.2 feedback will be effective in identifying patients at risk of dropout of substance abuse treatment.

1a. The condition were feedback is withheld from the therapist, will correctly identify patients who will dropout.

Research Question: Is there variation in the accuracy of dropout prediction as a function of age, gender differences or type of substance abuse?

2. The OQ-45.2 feedback will be effective in reducing dropout in outpatient substance abuse treatment.

2a. The feedback condition will result in less dropout than the no-feedback condition.

Research Question: Is there a variation in the OQ-45.2 preventive dropout effect due to age, gender or type of substance abuse?

3. The OQ-45.2 feedback will shorten length of inpatient substance abuse treatment.

3a. The feedback condition will identify patients who are ready to terminate therapy.

Research Question: Is there variation in identification of patients ready to terminate as a function of age, gender differences or type of substance abuse?

Eligibility criteria: Inclusion Criteria:

* Primary diagnosis of addiction, F10-19, using the International Classification of Diseases, admitted in 2011-2014 for treatment at the department of addiction treatment - youth, Oslo University Hospital

Exclusion Criteria:

* Ongoing psychoses, severe language difficulties

Primary outcomes:
measure: Drop-out from residential SUD treatment
timeFrame: Four years
Secondary outcomes:
Other outcomes:
Locations:
city: Oslo
country: Norway
facility: Department of addiction treatment- youth
city: Oslo
country: Norway
facility: Oslo University Hospital - Department of addiction treatment youth
Study officials:
References:
citation: Amble I, Gude T, Stubdal S, Oktedalen T, Skjorten AM, Andersen BJ, Solbakken OA, Brorson HH, Arnevik E, Lambert MJ, Wampold BE. Psychometric properties of the outcome questionnaire-45.2: the Norwegian version in an international context. Psychother Res. 2014;24(4):504-13. doi: 10.1080/10503307.2013.849016. Epub 2013 Nov 5.
citation: Brorson HH, Arnevik EA, Rand K. Predicting Dropout from Inpatient Substance Use Disorder Treatment: A Prospective Validation Study of the OQ-Analyst. Subst Abuse. 2019 Aug 15;13:1178221819866181. doi: 10.1177/1178221819866181. eCollection 2019.