共 50 条
Not in education, employment and training status in the early stages of bipolar I disorder with psychotic features
被引:1
|作者:
Cotton, Sue M.
[1
,2
]
Filia, Kate M.
[1
,2
]
Lambert, Martin
[3
]
Berk, Michael
[1
,2
,4
]
Ratheesh, Aswin
[1
,2
]
Schimmelmann, Benno G.
[5
,6
]
Macneil, Craig
[1
,2
]
Hasty, Melissa
[1
,2
]
McGorry, Patrick D.
[1
,2
]
Conus, Philippe
[7
]
机构:
[1] Univ Melbourne, Ctr Youth Mental Hlth, Parkville, Vic, Australia
[2] Orygen, Parkville, Vic, Australia
[3] Univ Med Ctr Hamburg Eppendorf, Ctr Psychosocial Med, Dept Psychiat & Psychotherapy, Psychosis Early Detect & Intervent Ctr PEDIC, Hamburg, Germany
[4] Deakin Univ, Sch Med, IMPACT Strateg Res Ctr, Geelong, Vic, Australia
[5] Univ Hosp Hamburg Eppendorf, Univ Hosp Child & Adolescent Psychiat, Hamburg, Germany
[6] Univ Bern, Univ Hosp Child & Adolescent Psychiat, Bern, Switzerland
[7] Univ Lausanne, Dept Psychiat CHUV, Treatment & Early Intervent Psychosis Program TIP, Prilly, Switzerland
关键词:
bipolar disorder;
early intervention;
education;
employment;
functioning;
psychosis;
substance use;
1ST EPISODE;
1ST-EPISODE PSYCHOSIS;
INDIVIDUAL PLACEMENT;
EARLY INTERVENTION;
FUNCTIONAL OUTCOMES;
YOUNG-PEOPLE;
PREDICTORS;
SUPPORT;
HEALTH;
SCHIZOPHRENIA;
D O I:
10.1111/eip.13203
中图分类号:
R749 [精神病学];
学科分类号:
100205 ;
摘要:
Objective There is a lack of existing research regarding young people with bipolar I disorder (BD-I) and psychotic features, who are not in education, employment, and training (NEET). Thus, the aims of the study were to: (a) establish rates of NEET at service entry to a specialist early intervention service; (b) delineate premorbid and current variables associated with NEET status at service entry and (c) examine correlates of NEET status at discharge. Method Medical file audit methodology was utilized to collect information on 118 patients with first episode psychotic mania treated at the Early Psychosis Prevention and Intervention Centre (EPPIC), Melbourne, Australia. NEET status was determined using the modified vocation status index (MVCI). Bivariate and multivariable logistic variables were used to examine relationships between premorbid, service entry and treatment variables, and NEET status at service entry and discharge. Results The NEET rate was 33.9% at service entry, and 39.2% at discharge. Variables associated with NEET status at service entry were premorbid functioning and polysubstance use. NEET status at service entry was the only significant correlate of NEET status at discharge. When service entry NEET was taken out of the model, substance use during treatment was predictive of NEET status at discharge. Conclusions NEET status at service entry was related to a history of premorbid decline, and risk factors such as substance use and forensic issues. NEET status can decline during treatment, and utility of vocational intervention programs specifically for BD, in addition to specialist early intervention, needs to be examined.
引用
收藏
页码:609 / 617
页数:9
相关论文