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Factors associated with long-stay status in patients with schizophrenia: An analysis of national databases covering the entire Korean population

Authors
 Woojin Chung  ;  Hoo-Sun Chang  ;  Sun-Min Oh  ;  Chung-Won Yoon 
Citation
 INTERNATIONAL JOURNAL OF SOCIAL PSYCHIATRY , Vol.59(3) : 207-216, 2013 
Journal Title
 INTERNATIONAL JOURNAL OF SOCIAL PSYCHIATRY 
ISSN
 0020-7640 
Issue Date
2013
MeSH
Adolescent ; Adult ; Age Distribution ; Aged ; Child ; Cross-Sectional Studies ; Databases, Factual/statistics & numerical data* ; Hospitals, Psychiatric/statistics & numerical data ; Humans ; Inpatients/psychology* ; Inpatients/statistics & numerical data* ; Length of Stay/statistics & numerical data* ; Middle Aged ; Odds Ratio ; Republic of Korea ; Retrospective Studies ; Risk Factors ; Schizophrenia/therapy* ; Sex Distribution ; Young Adult
Keywords
Schizophrenia ; length of stay ; multi-level model ; South Korea
Abstract
BACKGROUND: Admissions lasting over six months (long-stay) occur frequently among patients with schizophrenia in South Korea. AIMS: To identify some patient-level and institution-level factors associated with long-stay status of patients with schizophrenia. METHODS: This is a retrospective cross-sectional study. We analysed a nationwide population-based reimbursement claims data set consisting of 496,338 claims for 58,287 patients with schizophrenia between 1 January 2005 and 30 June 2006. A two-level random effects logistic regression model was used to identify those factors. RESULTS: Age (<20 years (ref), 60-69 (OR 2.000, 95% CI: 1.640-2.438), ≥ 70 (2.068, 1.682-2.543)), male gender (1.192, 1.144-1.242), type of national health insurance plan (national health insurance (ref), Medical Care Aid Type 1 (4.299, 4.024-4.593)), secondary diagnosis (none (ref), psychiatric diagnosis (0.719, 0.666-0.777), non-psychiatric diagnosis (0.918, 0.850-0.991)) and type of institution (clinic (ref), psychiatric hospital (2.769, 1.507-5.087)) were associated with likelihood of long-stay status. Institutional variable associated with long-stay status included a higher number of beds (1.073, 1.013-1.137). The number of professionals (0.752, 0.646-0.876) showed negative association with long-stay status. CONCLUSIONS: Researchers could improve their assessment of long-stay status of patients with schizophrenia by using a two-level analysis including patient-level and institution-level factors. This study suggests that mental health interventions to reduce the long stay of patients with schizophrenia focus on older male patients, those enrolled in a national medical care aid programme and those admitted to psychiatric hospitals.
Full Text
http://isp.sagepub.com/content/59/3/207.long
DOI
10.1177/0020764011431794
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Preventive Medicine and Public Health (예방의학교실) > 1. Journal Papers
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers
Yonsei Authors
Oh, Sun Min(오선민)
Chung, Woo Jin(정우진) ORCID logo https://orcid.org/0000-0003-2090-4851
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/89158
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