Leaving the Hospital Against Medical Advice Among People Who Use Illicit Drugs: A Systematic Review
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Notice bibliographique
Résumé
BACKGROUND: Leaving the hospital against medical advice is an increasing problem in acute care settings and is associated with an array of negative health consequences that may lead to readmission for a worsened health outcome or mortality. Leaving the hospital against medical advice is particularly common among people who use illicit drugs (PWUD) and has been linked to a number of complex issues; however, few studies have focused specifically on this population beyond identifying them as being at an increased risk of leaving the hospital prematurely. Furthermore, programs and interventions for reducing the rate of leaving the hospital against medical advice among PWUD in acute care settings have not been well studied. OBJECTIVES: We systematically assessed the literature examining hospital discharge against medical advice from acute care among this population and identified potential methods to minimize the occurrence of this phenomenon. SEARCH METHODS: We searched 5 electronic databases (from database inception to August 2014) and article reference lists for articles investigating hospital discharge from acute care against medical advice among PWUD. Search terms consistent across databases included "patient discharge," "hospital discharge," "against medical advice," "drug user," "substance-related disorders," and "intravenous substance abuse." SELECTION CRITERIA: Studies were eligible for inclusion if they were published in a peer-reviewed journal as an original research article in English. We excluded gray literature, case reports, case series, reviews, and editorials. We retained original studies that reported illicit drug use as a predictor of leaving the hospital against medical advice and studies of discharge against medical advice that included PWUD as a population of interest, and we assessed significance through appropriate statistical tests. We excluded studies that reported patients leaving the hospital against medical advice from psychiatric hospitals, drug treatment centers and emergency departments, and studies that discussed misuse of alcohol but not illicit drugs. DATA COLLECTION AND ANALYSIS: We created an electronic database that included study abstracts and relevant information matching the keywords and search criteria. We reviewed potentially eligible articles independently by scanning the titles, abstracts, and full texts of articles after removing duplicates. We identified studies for which eligibility was unclear and decided which studies to include after thoroughly reviewing and discussing them. RESULTS: Of the 1649 studies that matched the search criteria, 17 met our inclusion criteria. Thirteen studies identified substance misuse as a significant predictor of leaving the hospital against medical advice. Three studies assessed the prevalence and predictors of leaving the hospital against medical advice among people who inject drugs and found that this phenomenon was commonly reported (prevalence range = 25%-30%). Factors positively associated with leaving the hospital against medical advice included recent injection drug use, Aboriginal ancestry, leaving on weekends and welfare check day. In-hospital methadone use, social support, older age, and admission to a community-based model of care were negatively associated with the outcome. CONCLUSIONS: To better understand risk factors associated with leaving the hospital against medical advice among PWUD, future research should consider the effect of individual, social, and structural characteristics on leaving the hospital against medical advice among PWUD. The development and evaluation of novel methods to address interventions to reduce the rate of leaving the hospital prematurely is necessary.
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.
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,035 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,009 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,003 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 découle