The impact of educational interventions on attitudes of emergency department staff towards patients with substance-related presentations: a quantitative systematic review
Notice bibliographique
Résumé
BACKGROUND: Visits to emergency departments for substance use/abuse are common worldwide. However, emergency department health care providers perceive substance-using patients as a challenging group to manage which can lead to negative attitudes. Providing education or experience-based exercises may impact positively on behaviors towards this patient population. Whether staff attitudes are similarly impacted by knowledge acquired through educational interventions remains unknown. OBJECTIVES: To synthesize available evidence on the relationship between new knowledge gained through substance use educational interventions and emergency department health care providers' attitudes towards patients with substance-related presentations. INCLUSION CRITERIA TYPES OF PARTICIPANTS: Health care providers working in urban and rural emergency departments of healthcare facilities worldwide providing care to adult patients with substance-related presentations. TYPE OF INTERVENTION: Quantitative papers examining the impact of substance use educational interventions on health care providers' attitudes towards substance using patients. TYPES OF STUDIES: Experimental and non-experimental study designs. OUTCOMES: Emergency department staff attitudes towards patients presenting with substance use/abuse. SEARCH STRATEGY: A three-step search strategy was conducted in August 2015 with a search update in March 2017. Studies published since 1995 in English, French or Spanish were considered for inclusion. METHODOLOGICAL QUALITY: Two reviewers assessed studies for methodological quality using critical appraisal checklists from the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI). Reviewers agreed on JBI-MAStARI methodological criteria a study must meet in order to be included in the review (e.g. appropriate use of statistical analysis). DATA EXTRACTION AND SYNTHESIS: The data extraction instrument from JBI-MAStARI was used. As statistical pooling of the data was not possible, the findings are presented in narrative form. RESULTS: A total of 900 articles were identified as relevant for this review. Following abstract and full text screening, four articles were selected and assessed for methodological quality. One article met methodological criteria for inclusion in the review: use of random assignment and comparable study groups and measurement outcomes in a reliable and consistent manner. The included study was a cluster randomized controlled trial. Participants were emergency medicine residents with a mean age of 30 years. The study assessed the impact of a skills-based educational intervention on residents' attitudes, knowledge and practice towards patients with alcohol problems. While knowledge and practice behaviors improved one year following the intervention, there were no significant differences between groups on attitudinal measures. CONCLUSIONS: Employing educational interventions to improve the attitudes of emergency department staff towards individuals with drug and alcohol related presentations is not supported by evidence.
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 | 0,047 | 0,177 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,014 | 0,014 |
| Bibliométrie | 0,017 | 0,017 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,000 |
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.
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 ».