Quality indicators for substance use disorder care: a scoping review protocol
Notice bibliographique
Résumé
INTRODUCTION: Substance use disorders (SUDs) are a major public health challenge, affecting millions of individuals globally and contributing to substantial morbidity and mortality. Individuals with SUDs face numerous barriers to accessing high-quality healthcare, leaving vulnerable populations susceptible to the undertreatment of SUDs. Despite the availability of clinical practice guidelines and effective interventions for SUD, there is a notable gap in the implementation and adherence to evidence-based care.Measuring the quality of care (QoC) is a critical initial step toward enhancing the treatment and services provided to individuals with SUDs. While quality indicators (QIs) for SUD care have been established in various regions, including the USA, Canada and the UK, the application of QIs for the routine measurement of QoC for SUDs is not common. Identifying and characterising the areas of low QoC in SUD management can highlight critical targets for quality improvement initiatives. However, QoC measurement in SUD care is complex, with potentially redundant indicators derived from different sources, each with its own definitions, criteria and data requirements. This scoping review aims to explore the range of QIs that are currently available to assess the QoC for individuals with SUDs. METHODS: . Reporting will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review guidelines (PRISMA). Stage 1: the research question will be identified, clarifying the purpose of the scoping review. Stage 2: six academic databases (Cochrane Library, Embase, CINAHL, Medline, APA PsycINFO and Scopus) and grey literature sources will be searched for studies reporting QIs and published from 1990 until 2023. Stage 3: study screening and selection will be completed by two reviewers independently to review titles, abstracts and full texts based on study inclusion criteria. Stage 4: a pilot data charting form has been developed to capture information from each study, including study design, population details, setting, methodology for QI development and reported QIs. Stage 5: data synthesis and consultation will employ thematic analysis and frequency counts to categorise identified QIs within established domains for quality of healthcare. Any discrepancies in data extraction or thematic synthesis will be identified and resolved using a third reviewer when necessary. A consultation exercise using a modified Delphi process will engage experts to prioritise identified QIs, aligning with JBI recommendations for stakeholder involvement in scoping reviews. PATIENTS AND PUBLIC INVOLVEMENT: Patients and the public will not be directly involved in the design or conduct of this scoping review. However, stakeholder consultation, including individuals with lived experience of SUDs, will be incorporated during the Delphi process to prioritise identified QIs for SUD care. ETHICS AND DISSEMINATION: Ethics approval is not necessary for stages 1-4 of this scoping review as it will not involve primary data collection. Ethics approval will be obtained from the University of Calgary Health Research Ethics Board prior to the commencement of stakeholder consultation (Stage 5) in January 2025. This scoping review was preregistered on the Open Science Framework. The results of this scoping review will be disseminated through peer-reviewed publications and conference presentations. Findings will be shared with local clinicians through presentations and with the research and clinical community at relevant conferences. This study represents a necessary first step towards establishing routine QoC measurement for SUDs. Results will be used in a stakeholder consensus exercise aimed at identifying key QIs for SUD care in Alberta, Canada, that will guide the future development of continuous QoC measurement using population-based data.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,118 | 0,104 |
| Méta-épidémiologie (sens strict) | 0,005 | 0,006 |
| Méta-épidémiologie (sens large) | 0,013 | 0,015 |
| Bibliométrie | 0,022 | 0,021 |
| Études des sciences et des technologies | 0,006 | 0,005 |
| Communication savante | 0,010 | 0,009 |
| Science ouverte | 0,007 | 0,008 |
| Intégrité de la recherche | 0,007 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,085 | 0,015 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».