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Effectiveness of a Community-Based Intensive Case Management Model on Reducing Hospitalization for People With Severe Mental Illness in Seoul.
Sohn, Jee Hoon; Cho, Sung Joon; Lee, Hae Woo; Kim, Hyun; Lee, Seung Yeon; Park, Yoomi; Seo, Hwo Yeon; Kim, Eun Soo; Park, Jee Eun; Hahm, Bong Jin.
Afiliação
  • Sohn JH; Public Healthcare Center, Seoul National University Hospital, Seoul, Republic of Korea.
  • Cho SJ; Institute of Public Health and Medical Services, Seoul National University Hospital, Seoul, Republic of Korea.
  • Lee HW; Department of Psychiatry, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Kim H; Department of Psychiatry, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Lee SY; Workplace Mental Health Institute, Kangbuk Samsung Hospital, Seoul, Republic of Korea.
  • Park Y; Seoul Mental Health Welfare Center, Seoul, Republic of Korea.
  • Seo HY; Department of Psychiatry, Seoul Medical Center, Seoul, Republic of Korea.
  • Kim ES; Seoul Mental Health Welfare Center, Seoul, Republic of Korea.
  • Park JE; Seoul Mental Health Welfare Center, Seoul, Republic of Korea.
  • Hahm BJ; Citizens' Health Bureau, Seoul Metopolitan Government, Seoul, Republic of Korea.
Psychiatry Investig ; 20(12): 1133-1141, 2023 Dec.
Article em En | MEDLINE | ID: mdl-38163652
ABSTRACT

OBJECTIVE:

To overcome the limited effectiveness of standard case management services, the Seoul Intensive Case Management program (S-ICM) for patients with serious mental illnesses was introduced in 2017. This study aimed to evaluate its effectiveness in reducing the length of hospital stay.

METHODS:

Monitoring data from April 2019 to March 2020 were retrieved from the Seoul Mental Health Welfare Center. A total of 759 participants with serious mental illnesses were included. The average length of admission per month was compared between the pre-ICM (previous year) and during-ICM periods. For post-ICM observation subgroup, average length of admission per month was compared between pre-ICM, during-ICM, and post-ICM periods. To determine the relative contributions of risk factors for during-ICM and post-ICM admission, multivariate logistic regression analyses were performed.

RESULTS:

The average admission stay for pre-ICM period was significantly longer than that for during-ICM period (1.47 vs. 0.26 days). Among the predictors for during-ICM admission, pre-ICM psychiatric admission was the most important risk factor, followed by medical aid beneficiary and suicidal behavior. In the subgroup analysis of the post-ICM observation period, the pre-ICM, during-ICM, and post-ICM average admission stays were 1.45, 0.29, and 0.57 days/month, respectively. There was a significant difference in the average length of stay between the pre-ICM and during-ICM periods and between the pre-ICM and post-ICM periods. Post-ICM admission risks included pre-ICM admission, S-ICM duration <3 months, and chronic unstable symptoms.

CONCLUSION:

The results suggest that the S-ICM effectively reduces psychiatric hospitalization duration, at least over a short-term period.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article