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Enregistrement W1938297253 · doi:10.1002/14651858.cd006747.pub2

Managed alcohol as a harm reduction intervention for alcohol addiction in populations at high risk for substance abuse

2012· review· en· W1938297253 sur OpenAlexaff
Wendy Muckle, Jamie Muckle, Vivian Welch, Peter Tugwell

Notice bibliographique

RevueCochrane Database of Systematic Reviews · 2012
Typereview
Langueen
DomaineMedicine
ThématiqueSubstance Abuse Treatment and Outcomes
Établissements canadiensInstitute of Population and Public HealthUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésAddictionPsychiatryAlcoholIntervention (counseling)Harm reductionAlcohol abuseHarmSubstance abuseMedicinePsychologyEnvironmental healthPublic healthSocial psychologyNursingChemistry

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Managed alcohol programmes (MAP) are a harm reduction strategy used to minimise the personal harm and adverse societal effects that alcohol dependence can lead to by providing an alternative to zero-tolerance approaches that incorporate drinking goals (abstinence or moderation) that are compatible with the needs of the individual, and promoting access to services by offering low-threshold alternatives. This enables clients to gain access to services despite continued alcohol consumption and works to help the patient understand the risks involved in their behaviour and make decisions about their own treatment goals. OBJECTIVES: To assess the effectiveness of MAP treatment regimens (serving limited quantities of alcohol daily to alcoholics) on their own or as compared to moderate drinking (self-controlled drinking), screening and brief intervention using a harm reduction approach, traditional abstinence-based interventions (12 step programmes) and no intervention. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, CINAHL and PsycINFO up to March 2012. This search was expanded by handsearching of high-yield journals and conference proceedings that had not already been handsearched on behalf of The Cochrane Collaboration, searching reference lists of all papers and relevant reviews identified, references to ongoing and recently completed clinical trials in the National Research Register and IFPMA Clinical Trials Database (which contains ClinicalTrials.gov, Centerwatch, Current Controlled Trials and ClinicalStudyResults.gov, and Osservatorio Nazionale sulla Sperimentazione Clinica dei Medicinali). Trials registers, grey literature and reference lists were also searched. Individuals, organisations and experts in the field were contacted. SELECTION CRITERIA: Randomised control trials (RCT), controlled clinical trials (CCT), interrupted time series (ITS) studies, and control before and after (CBA) studies involving vulnerable people aged 18 years or older who were at high risk for alcohol abuse attending MAP, defined as a structured programme that provided clients with controlled amounts of alcohol on a daily schedule, comparing no treatment, moderate drinking, brief intervention or 12-step variants. DATA COLLECTION AND ANALYSIS: All study citations were collated into a single database. Two review author independently screened titles and abstracts and selected references potentially relevant to the review. Differences between selection lists were resolved by discussion. Two review authors independently evaluated whether studies should be included or excluded according to the eligibility criteria. In the event of a disagreement, a third author was consulted. MAIN RESULTS: No studies were included in the review. This systematic review was intended to assess the effectiveness of a brief MAP on the reduction of incidence of harmful behaviour; however, no evidence was available to make this comparison; 22 articles were considered possibly relevant and all were excluded. Most articles were excluded because they failed to compare or consider managed alcohol as the experimental or control intervention, as well as one study (Baker 2010), which was also excluded because study participants were under 18 years of age. No study reviewed offered an intervention that was compared with managed alcohol or considered it as the intervention of interest, providing insufficient evidence to address the objectives of the review. Four studies (Aalto 2001; Baker 2010; Bertholet 2005; Tracy 2007) considered alcohol reduction as an outcome of interest, while four engaged interventions in a shelter setting or targeted vulnerable people (Baker 2010; Bradford 2005; Lapham 1993; McGlynn 1993); only one study (Kidd 2011) offered a qualitative assessment of a participant being admitted to MAP, but offered no analysis of the programme itself. These results accurately reflect the use of MAPs in current practice as existing programmes are ongoing only in a small number of sample pilot projects that target individuals with severe alcohol dependence or who consume non-beverage alcohol. AUTHORS' CONCLUSIONS: The lack of evidence does not allow for a conclusion regarding the efficacy of MAP on their own, or as compared to brief intervention, moderate drinking, no intervention or 12-step variants. It is the review authors' opinion that it is likely to be the objective of MAPs that reduce their reportability and use in current practice, rather than a failure to provide an intervention that reduces the effects of alcohol dependence. Aiming to reduce harmful or antisocial behaviour in vulnerable individuals through the regulation of daily alcohol intake, rather than reducing harmful alcohol intake over time, provides considerable difficulty in developing measures of success from self-reported data (low treatment thresholds), monitoring long-term efficacy or establishing causal links between programme admission and a reduction in targeted behaviours, owing to the fact that prolonged participation in the programme is likely to indicate a willingness in the individual to change their behaviour patterns. More effort is needed to develop reporting measures, as well as methodologies, which address these specific challenges.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,067
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0070,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,209
Tête enseignante GPT0,424
Écart entre enseignants0,215 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations48
Publié2012
Routes d'admission1
Résumé présentoui

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