Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

How to Maintain High Retention Rates in Long-Term Research on Addiction

A Case Report

Bibliographic Data

ID15414349
AuthorsThomas Solgaard Svendsen (0000-0002-3956-8547, Stavanger University Hospital, corresponding author), Aleksander H Erga (0000-0001-5598-4746, Stavanger University Hospital), Egon Hagen (0000-0002-3199-3725, Stavanger University Hospital), James R Mckay (0000-0001-5876-1687, University of Pennsylvania), Anne Lill Mjølhus Njå (0009-0009-6856-5255, Stavanger University Hospital), Janne Årstad (Stavanger University Hospital), Sverre Nesvåg (0000-0001-8407-192X, Stavanger University Hospital)
Year2017
Volume17
Issue4
Pages374-387
Publication date2017-08-16
Open AccessYes
TypeARTICLE
VenueJournal of Social Work Practice in the Addictions (JOURNAL)
Journal identifiersISSN: 1533-256X • E-ISSN: 1533-2578
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/1533256x.2017.1361831
OpenAlexW2745451285
LanguageEN
Citations received7
References cited24

High dropout rates threaten the validity of longitudinal studies involving participants suffering from substance use disorder (SUD). The objective of this article is to evaluate strategies to improve retention. The data analysis was based on an ongoing study of long-term recovery of neurocognitive and psychosocial functions. We used traditional strategies to enhance the contact rate. Common factors in psychosocial treatments and biweekly Short Message Service (SMS; text messaging) monitoring were added to further increase the contact rate. The participants (n = 146) were recruited from treatment facilities for SUD. Assessments were measured at 3 months, 6 months, 9 months, and 12 months. This study was successful in retaining a cohort of participants who are typically characterized as having a negative prognosis because of their unstable living arrangements and incomes. Compared to those using GHB, addictive medications, and opiates, the retention rate was the lowest among participants with severe alcohol use disorder (42%)

Addiction · Cognition · Cohort · Dropout (neural networks · Neurocognitive · Psychiatry · Psychosocial · Retention rate · Substance abuse · Clinical Psychology · Digital Mental Health Interventions · Medicine · Mental Health Research Topics · Mobile Health and mHealth Applications · Psychology · Internal Medicine

  • Trajectories of psychological distress during recovery from polysubstance use disorder

    Open Access•Aleksander H Erga, Audhild Hønsi et al.•Addiction Research & Theory•2021

  • Stories of building friendships during long-term recovery from problematic substance use

    Open Access•Mariann Iren Vigdal, Thomas Solgaard Svendsen et al.•Qualitative Social Work•2024

  • The hunt for a job

    Inger Eide Robertson, Hildegunn Sagvaag et al.•Drugs Education Prevention and…•2022

  • Persistent sleep problems among people in recovery from substance use disorders

    Open Access•Aleksander H Erga, Sverre Nesvåg et al.•Addiction Research & Theory•2022

  • A Life More Ordinary” Processes of 5-Year Recovery From Substance Abuse. Experiences of 30 Recovered Service Users

    Open Access•Jone Bjørnestad, Thomas Solgaard Svendsen et al.•Frontiers in Psychiatry•2019

  • The interdependence of substance use, satisfaction with life, and psychological distress

    Open Access•Fredrik D Moe, Aleksander Erga et al.•Frontiers in Psychiatry•2024

  • Rebuilding Social Networks in Long-term Social Recovery from Substance-Use Problems

    Open Access•Mariann Iren Vigdal, Christian Moltu et al.•The British Journal of Social Work•2023

  • The role of the therapeutic alliance in the treatment of substance misuse

    Open Access•Petra Sylvia Meier, Christine Barrowclough et al.•Addiction•2005

Citations per year1
Citation span2019 - 2024 (6)
Highly citedNo

Tools

Open DOISci-HubOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae