ArticleThe Psychiatric quarterly2020
Determinants of Length of Stay in a Psychiatric Ward: a Retrospective Chart Review.
Article in The Psychiatric quarterly, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- Socio-demographic Predictors of Hospitalization Duration Among Patients with Borderline Personality Disorder.Administration and policy in mental health · 2025Article
- Factors influencing the length of stay in the psychiatric unit of a Ghanaian teaching hospital: a retrospective study.Social psychiatry and psychiatric epidemiology · 2025Article
- Metabolic syndrome and its components are associated with lengths of stay in a psychiatric hospital: Results from a Swiss psychiatric cohort and first-episode psychosis patients.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Leveraging deep neural network and language models for predicting long-term hospitalization risk in schizophrenia.Schizophrenia (Heidelberg, Germany) · 2025Article
- Evaluation of severe and chronic factors for extended stays in Japanese medical treatment and supervision act wards.Frontiers in psychiatry · 2025Article
- Length of hospital stay in involuntary admissions in Greece: a 10-year retrospective observational study.Social psychiatry and psychiatric epidemiology · 2024Observational
- Characteristics of International Assaultive Psychiatric Patients: Review of Published Findings, 2017-2022.The Psychiatric quarterly · 2023Review
- Length of Hospital Stay and Its Related Factors in Iran: A Systematic Review and Meta-Analysis.Iranian journal of public health · 2023Review
- Factors influencing the duration of hospitalization of patients with schizophrenia.Medicine and pharmacy reports · 2022Article
- Hospital Length of Stay in Patients with and without Serious and Persistent Mental Illness: Evidence of Racial and Ethnic Differences.Healthcare (Basel, Switzerland) · 2022Article
- Factors related to the length of stay for major depressive disorder patients in China: A real-world retrospective study.Frontiers in public health · 2022Article
- Factors Related to the Length of Stay for Patients With Schizophrenia: A Retrospective Study.Frontiers in psychiatry · 2021Article
- Mortality Among Patients Discharged From an Acute Psychiatric Department: A 5-Year Prospective Study.Frontiers in psychiatry · 2020Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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