Physical multimorbidity, concurrent psychiatric morbidity, and emergency department presentation among adults released from prison: a prospective cohort study from Queensland, Australia
Notice bibliographique
Résumé
BACKGROUND: People released from prison have elevated rates of physical and psychiatric morbidity, and emergency department (ED) presentation when compared with the general population. However, little is known about the specific health concerns that are associated with these high rates of ED presentation. The aims of this study were to (a) ascertain the prevalence of multimorbidity (physical multimorbidity and concurrent psychiatric morbidity) in a sample of adults prior to release from prison, and (b) examine the association between physical multimorbidity, psychiatric morbidity, and ED presentations in this sample following release from prison. METHODS: We prospectively linked pre-release survey data collected between 1 August 2008 and 31 July 2010 from a representative cohort of 1325 sentenced adults in Queensland, Australia, to person-level ED, correctional, and death records. We assessed the multimorbidity of participants using the Cumulative Illness Rating Scale. The association between multimorbidity and rate of ED presentations was assessed by fitting a multivariable Andersen-Gill model to identify sociodemographic and criminal justice covariates. A sensitivity analysis was also conducted in which psychiatric morbidity was disaggregated into a 4-level dual diagnosis variable (none, mental illness only, substance use disorder only, dual diagnosis) and was fit separately from the physical multimorbidity measure to ascertain the degree to which these factors predicted ED presentation rates. RESULTS: 502 (48.0%) participants had multimorbidity, 265 (25.3%) had physical multimorbidity, and 608 (58.2%) had psychiatric morbidity. After adjustment for model covariates including dual diagnosis status, there was no statistically significant association between physical multimorbidity and ED presentation rate. However, after adjusting for model covariates including physical multimorbidity, participants with a diagnosis of either mental illness (aHR: 1.48; 95%CI: 1.08-2.03) or both mental illness and substance use disorder (aHR: 1.78; 95%CI: 1.33-2.37) had a higher rate of ED presentation than their counterparts without these diagnoses. CONCLUSION: The presence of psychiatric morbidity is associated with an increased rate of ED presentation. Targeted interventions for adults released from prison with psychiatric morbidity are urgently needed.
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Comment cette classification a été obtenuedéplier
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, 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 ».