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Length of stay for inpatient incompetent to stand trial patients: importance of clinical and demographic variables.
- Source :
-
CNS spectrums [CNS Spectr] 2020 Oct; Vol. 25 (5), pp. 734-742. Date of Electronic Publication: 2020 Jun 09. - Publication Year :
- 2020
-
Abstract
- Objective: We investigated clinical and demographic variables to better understand their relationship to hospital length of stay for patients involuntarily committed to California state psychiatric hospitals under the state's incompetent to stand trial (IST) statutes. Additionally, we determined the most important variables in the model that influenced patient length of stay.<br />Methods: We retrospectively studied all patients admitted as IST to California state psychiatric hospitals during the period January 1, 2010 through June 30, 2018 (N = 20 041). Primary diagnosis, total number of violent acts while hospitalized, age at admission, treating hospital, level of functioning at admission, ethnicity, sex, and having had a previous state hospital admission were evaluated using a parametric survival model.<br />Results: The analysis showed that the most important variables related to length of stay were (1) diagnosis, (2) number of violent acts while hospitalized, and (3) age of admission. Specifically, longer length of stay was associated with (1) having a diagnosis of schizophrenia or neurocognitive disorder, (2) one or more violent acts, and (3) older age at admission. The other variables studied were also statistically significant, but not as influential in the model.<br />Conclusions: We found significant relations between length of stay and the variables studied, with the most important variables being (1) diagnosis, (2) number of physically violent acts, and (3) age at admission. These findings emphasize the need for treatments to target cognitive issues in the seriously mentally ill as well as treatment of violence and early identification of violence risk factors.
- Subjects :
- Age Factors
California
Hospitals, Psychiatric statistics & numerical data
Hospitals, State statistics & numerical data
Humans
Inpatients statistics & numerical data
Mental Disorders classification
Socioeconomic Factors
Insanity Defense statistics & numerical data
Length of Stay statistics & numerical data
Mental Disorders epidemiology
Subjects
Details
- Language :
- English
- ISSN :
- 1092-8529
- Volume :
- 25
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- CNS spectrums
- Publication Type :
- Academic Journal
- Accession number :
- 32286208
- Full Text :
- https://doi.org/10.1017/S1092852920001273