Evidence map›Paper›PMID 41528956›Full record

ArticleEuropean addiction research2026

Recovery Outcomes and Treatment Dropout in Patients with Complex Problems Undergoing Inpatient Addiction Treatment: A Naturalistic Prospective Cohort Study.

Esther Pars, Boukje A G Dijkstra, Joanneke E L VanDerNagel, Arnt F A Schellekens

Abstract read
In one paragraph

Article in European addiction research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Esther ParsDepartment of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands, e.pars@windesheim.nl.
Boukje A G DijkstraNijmegen Institute for Scientist Practitioners in Addiction (NISPA), Nijmegen, The Netherlands.
Joanneke E L VanDerNagelNijmegen Institute for Scientist Practitioners in Addiction (NISPA), Nijmegen, The Netherlands.
Arnt F A SchellekensDepartment of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

<p>Introduction: Recovery from substance use disorder (SUD) spans clinical, functional, and personal dimensions. However, research covering these domains, particularly in populations with complex problems such as those with mild to borderline intellectual disabilities (MBIDs), remains limited. This study explored different recovery outcomes and their relationship with treatment dropout during the first 12 weeks of inpatient treatment, while also examining whether the presence of MBID affected the outcomes.

methodsA naturalistic, prospective cohort study was conducted with patients undergoing inpatient SUD treatment at a Salvation Army Clinic in The Netherlands. Recovery outcomes (clinical, functional, personal) and predictors of dropout were assessed over 12 weeks. MBID (yes/no) was determined using the SCIL screening tool. Data were analyzed using repeated measures (M)ANCOVA to evaluate recovery trajectories and logistic regression to explore associations between recovery levels and dropout.

resultsOf the 157 participants, 66% screened positive for potential MBID, and 40% dropped out within 12 weeks. For completers, significant improvements were observed across all recovery domains over time (all p < 0.001). Psychological problems decreased by a mean of 9.6 points (95% CI: 7.5-11.8), physical problems by a mean of 3.7 points (95% CI: 2.0-5.4), and craving by a mean of 7.5 points (95% CI: 6.4-8.6). Functional recovery increased by a mean of 5.1 points (95% CI: -1.4 to 11.7), and personal recovery by a mean of 5.7 points (95% CI: 3.5-7.9). Lower baseline recovery levels were associated with greater relative improvements but lower endpoint scores. Lower baseline functional recovery was a small but significant predictor of dropout. MBID status did not affect recovery trajectories.

conclusionsThe findings suggest a multidimensional recovery process during early phases of inpatient treatment, irrespective of MBID status. Baseline recovery levels play a crucial role in shaping outcomes, underscoring the importance of early assessments. Importantly, these findings indicate that those worst off at baseline profit most from treatment. </p>.

Indexed as

Intellectual DisabilityPatient DropoutsSubstance-Related DisordersAdultCohort StudiesFemaleHumansInpatientsMaleMiddle AgedNetherlandsProspective StudiesTreatment OutcomeAddictionComorbidityIntellectual disabilityRecoveryTreatment dropout

Identifiers

PMID41528956
PMCPMC12908947

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.