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Record W2942955302 · doi:10.1097/cxa.0000000000000022

Examining Barriers as Risk Factors for Relapse: A focus on the Canadian Treatment and Recovery System of Care

2018· editorial· en· W2942955302 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Canadian Journal of Addiction · 2018
Typeeditorial
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsCentre for Addiction and Mental HealthRoyal Ottawa Mental Health CentreCanadian Centre on Substance Use and AddictionUniversity of Ottawa
Fundersnot available
KeywordsLogistic regressionAddictionConfidence intervalOdds ratioMedicineOddsAddiction treatmentEconomic recoveryDemographyPsychologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

ABSTRACT Objectives: In 2016, the Canadian Centre on Substance Use and Addiction (CCSA) conducted the first survey of individuals in recovery from addiction in Canada. The findings revealed that many individuals in recovery lead meaningful lives, contributing to their families and society. However, participants also identified a number of barriers to starting and maintaining recovery. The current study examined the relationship between the barriers experienced and relapse during recovery. Methods: Data from the 2016 Life in Recovery (LIR) from Addiction in Canada survey were analyzed using descriptive and logistic regression analyses. Participants comprised 855 individuals (M age = 47.3 years), all of whom self-reported being in recovery from addiction. Results: Logistic regressions revealed that upon starting recovery, long delays for treatment, odds ratio (OR) = 1.77, 95% confidence interval (CI) = 1.21–2.60, P < 0.01, and not having stable housing, OR = 1.83, 95% CI = 1.14–2.95, P < 0.05, were associated with increased risk of relapse. Moreover, upon examining barriers to maintaining recovery, a lack of supportive social networks, OR = 2.10, 95% CI = 1.26–3.48, p < 0.01, a lack of programs or supports, OR = 1.75, 95% CI = 1.03–2.98, P < 0.05, and the costs of recovery services OR = 1.73, 95% CI = 1.02–2.91, P < 0.05 were associated with increased risk of relapse. Conclusions: Targeted investments to address the treatment-related barriers that most strongly relate to relapse, could significantly improve the lives of individuals struggling with addiction and those beginning and maintaining their recovery journey. Objectifs: En 2016, le Centre canadien de lutte contre l’alcoolisme et les toxicomanies (CCLAT) a mené un premier sondage auprès des personnes en rétablissement à la suite d’une dépendance au Canada. Les résultats ont révélé que de nombreuses personnes en rétablissement mènent des vies significatives, contribuant ainsi à leur famille et à la société. Cependant, les participants ont également identifié un certain nombre d’obstacles au démarrage et au maintien du rétablissement. La présente étude a examiné la relation entre les obstacles rencontrés et la rechute pendant le rétablissement. Méthodes: Les données de l’enquête Life in Recovery (LIR) de l’Enquête sur la toxicomanie au Canada de 2016 ont été analysées à l’aide d’analyses de régression descriptives et logistiques. Les participants comprenaient 855 individus (Moyenne d’âge = 47,3 ans), qui ont tous déclaré être en rétablissement après une dépendance. Résultats: Les régressions logistiques ont révélé qu’au début du rétablissement, de longs délais de traitement, chance de réussite (CR) = 1,77, intervalle de confiance à 95% (IC) = 1,21-2,60, p < 0,01, et n’ayant pas de logement stable, CR = 1,83, IC 95% = 1,14-2,95, p < 0,05, étaient associés à un risque accru de rechute. De plus, en examinant les obstacles au maintien du rétablissement, un manque de réseaux sociaux de soutien, CR = 2.10, IC à 95% = 1.26-3.48, p < 0.01, manque de programmes ou de soutien, CR = 1.75, IC à 95% = 1.03–2,98, p < 0,05, et les coÛts des services de récupération CR = 1,73, IC 95% = 1,02–2,91, p < 0,05 étaient associés à un risque accru de rechute. Conclusions: Des investissements ciblés visant à surmonter les obstacles liés au traitement les plus étroitement liés à la rechute pourraient améliorer considérablement la vie des personnes aux prises avec une dépendance et de celles qui amorcent et poursuivent leur chemin vers le rétablissement.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.240
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it