Predicting Dropout and Outcome From Neuropsychological Functions in SUD Patients
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About
The aim of this project is to gain a more specific understanding of how different cognitive profiles predict residential treatment drop-out, treatment retention and post-treatment outcome in a population with Substance Use Disorder.
Full description
This project collects the neuropsychological profile of residential SUD patients, in addition to treatment length, exit reason, hospital journal data and post-treatment clinical outcome data. The project aims to identify clinically relevant neurocognitive domains that predict treatment dropout and post-treatment clinical outcome. This will make it possible for future clinicians to focus their effort on neurocognitive functions most relevant for this particular patient group.
RESEARCH QUESTIONS:
- What neurocognitive domain (and sub-domain) are the strongest predictor of treatment drop-out and retention?
- What neurocognitive domain (and sub-domain) are the strongest predictor of post-treatment clinical outcome variables such as drug use, health and social integration.
- Will data on treatment length, age, gender, substance abuse history or psychiatric co-morbidity predict outcome independently, or in interaction with, the neuropsychological profile?
This longitudinal prospective cohort study aims for a continuous collection of neuropsychological data baseline and post-treatment follow-up data until 2030.
Enrollment
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Inclusion criteria
- Substance Use Disorder (SUD) patients.
- 18 years or older.
- Qualified to consent to research participation.
- Able to speak and write in Norwegian.
Exclusion criteria
- Not qualified to consent to research participation.
- Insufficient understanding of Norwegian.
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Data sourced from clinicaltrials.gov
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