Determinants of Length of Stay in a Psychiatric Ward: a Retrospective Chart Review.
Adult
Aged
Female
Hospitalization
/ statistics & numerical data
Humans
Inpatients
Iran
Length of Stay
/ statistics & numerical data
Male
Middle Aged
Patient Discharge
Psychiatric Department, Hospital
/ statistics & numerical data
Retrospective Studies
Suicide, Attempted
/ statistics & numerical data
Young Adult
Length of stay
Medical chart review
Predictors
Psychiatric ward
Journal
The Psychiatric quarterly
ISSN: 1573-6709
Titre abrégé: Psychiatr Q
Pays: United States
ID NLM: 0376465
Informations de publication
Date de publication:
06 2020
06 2020
Historique:
pubmed:
23
12
2019
medline:
11
5
2021
entrez:
23
12
2019
Statut:
ppublish
Résumé
Considering the limited resources for providing inpatient services, identification of the factors influencing length of stay (LOS) is of great importance. The current study is a retrospective chart review which was planned to investigate the determinants of LOS in two gender-specific psychiatric wards within Baqiatallah Hospital (BQH) located in Tehran. The observation period was between March 21, 2011 and March 19, 2016. 3203 patients were recruited in terms of inclusion and exclusion criteria. Next, required data on 25 explanatory variables were extracted from their case-files. Descriptive measures were used for analysis and Independent Samples T-test, one-way ANOVA, Pearson's correlation coefficient and Bonferroni's post-hoc test for inferential analysis. Lastly, a multiple linear regression model was run to determine significant predictors of psychiatric LOS. Variables significantly correlated with patients' LOS included gender, age, employment status, marital status, number of divorces, disability rate, discharge diagnosis, physical comorbidity, number of previous hospitalizations, suicide ideation, number of suicide attempts, history of assault, tobacco consumption, a history of narcotic drug abuse and number of ECT sessions. Through the analysis of multiple linear regression, it came to light that significant predictors of LOS in the final model could account for 37.9% of the variance in LOS. From the findings of current study, it can be inferred that clinical aspects as well as treatment procedures have major effects on LOS. Although the factors examined here could not explain an acceptable variance in LOS, the results are useful for the treatment team when they want to devise a care plan or give discharge to a patient.
Identifiants
pubmed: 31865511
doi: 10.1007/s11126-019-09699-0
pii: 10.1007/s11126-019-09699-0
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM