Article de Périodique
Detection of co-occurring mental illness among adult patients in the New Jersey substance abuse treatment system (2006)
(Diagnostic de comorbidité chez les patients adultes d'un centre de traitement de la toxicomanie dans le New Jersey)
Auteur(s) :
HU H.M. ;
KLINE, A. ;
HUANG, F. Y. ;
ZIEDONIS D.M.
Année
2006
Page(s) :
1785-1793
Langue(s) :
Anglais
Refs biblio. :
43
Domaine :
Drogues illicites / Illicit drugs
Thésaurus mots-clés
CSST
;
COMORBIDITE
;
DEPISTAGE
;
ENQUETE
;
BASE DE DONNEES
Thésaurus géographique
ETATS-UNIS
Note générale :
American Journal of Public Health, 2006, 96, (10), 1785-1793
Note de contenu :
tabl.
Résumé :
ENGLISH :
OBJECTIVES: We assessed the detection of mental illness in an adult population of substance abuse patients and the rate of referral for mental health treatment. METHODS: We obtained combined administrative records from 1994 to 1997 provided by the New Jersey substance abuse and mental health systems and estimated detection and referral rates of patients with co-occurring disorders (n = 47,379). Mental illness was considered detected if a diagnosis was in the record and considered undetected if a diagnosis was not in the record but the patient was seen in both treatment systems within the same 12-month period. Predictors of detection and referral were identified. RESULTS: The detection rate of co-occurring mental illness was 21.9% (n=10364); 57.9% (n=6001) of these individuals were referred for mental health treatment. Methadone maintenance clinics had the lowest detection rate but the highest referral rate. Male, Hispanic, and African American patients, as well as those who used heroin or were in the criminal justice system, had a higher risk of mental illness not being detected. Once detected, African American patients, heroin users, and patients in the criminal justice system were less likely to be referred for treatment. CONCLUSIONS: There is a need to improve the detection of mental illness among substance abuse patients and to provide integrated treatment. (Author' s abstract)
Affiliation :
Institute for Health, Health Care Policy, and Aging Research at Rutgers, The State University of New Jersey, New Brunswick, USA. hsoumei@gmail.com
Etats-Unis. United States.
Etats-Unis. United States.
Cote :
Abonnement
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