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

Author:

Chung Woojin12,Chang Hoo-Sun23,Oh Sun-Min4,Yoon Chung-Won5

Affiliation:

1. Department of Health Policy and Management, Graduate School of Public Health, Yonsei University, South Korea

2. Institute of Health Services Research, Yonsei University College of Medicine, South Korea

3. Department of Public Health, Yonsei University Graduate School, South Korea

4. Department of Preventive Medicine, Yonsei University College of Medicine, South Korea

5. Department of Evaluation, Health Insurance Review & Assessment Service, 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.

Publisher

SAGE Publications

Subject

Psychiatry and Mental health

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