2019-2024년도 단일 정신병원에 행정입원한 환자들의 특성 및 재원일수와의 연관성

Abstract

Objectives: Administrative hospitalization under Article 44 of the Mental Health Welfare Act serves as an important social response mechanism for mental health issues, but systematic research on the characteristics of administrative hospitalization patients remains limited. This study aims to analyze the demographic and clinical characteristics of patients administratively hospitalized at a single psychiatric hospital to provide foundational data for future mental health policy development. Methods: We conducted a retrospective cross-sectional study of 194 patients who were administratively hospitalized at Yangsan Hospital between January 2019 and December 2024. Eligibility was defined as hospitalization via administrative admission during the study period with medical records available for review; for multiple admissions, only the first admission record was included. We performed descriptive analyses of age, sex, insurance type, primary diagnosis, and additionally evaluated the associations between these variables and length of hospital stay. All analyses were conducted using IBM SPSS Statistics 26.0. Results: Among study subjects, 105 were male (54.1%) and 89 were female (45.9%), with a mean age of 50.0 years. Among all age groups, the 50-59 group was the largest, with 59 patients (30.4%). Among the insurance types, medical aid type 1 was the most common, with 92 patients (47.4%). Diagnostically, F2 (schizophrenia, schizotypal and delusional disorders) accounted for 74 patients (40.0%) and F1 (psychoactive substance use disorders) for 54 patients (29.2%). Mean length of stay was 79.4 days (range 9-364 days), with no statistically significant differences according to sex, insurance type, diagnosis, or age group. Conclusions: Administrative hospitalization patients were characterized by a predominance of males in their 50s, medical aid recipients, and schizophrenia patients. Healthcare providers should develop individualized treatment plans and discharge strategies considering patients’ demographic and socioeconomic characteristics.