Peer-reviewed open access journal Vol. 15 • Issue 1

Open access scholarly publishing

Journal of Behavioral Health and Psychology

A modern publishing platform for behavioral health research, mental health scholarship, and interdisciplinary evidence shared through an open, online-first model.

Open Access Peer Reviewed Behavioral Health
Submit Manuscript About the Journal

Current publishing cycle

Volume 15

Issue 1 • 2026-02

View current issue Online first
2.809 Impact factor
Open Access model

Article details

Patient and treatment related variables as predictors of length of stay in a Nigerian Neuropsychiatric Hospital

Adegoke Oloruntoba Adelufosi, Kehinde Fakorede, Ayodeji Obasan, Ibrahim Olajide Opeewe, Tunde Masseyferguson Ojo

Journal of Behavioral Health and Psychology 2014 Vol. 3 Issue 2 Pages 101-390
View DOI Download PDF

Abstract

Aim: The aim of this study was to assess the hospital length of stay (LOS) of patients discharged from the acute wards of a psychiatric hospital in Nigeria and to determine its relationship with demographic, illnessrelated and treatment related variables. Methods: This was a retrospective cross-sectional study involving case note review of patients discharged from the acute psychiatric ward of the hospital during 1-year period. A questionnaire was used in collecting data about the socio-demographic variables (e.g. age, gender, distance of place of abode from hospital), clinical characteristics (diagnosis, co-morbid physical illness etc.) and clinical practice or treatment related factors (e.g. frequency of review by consultant psychiatrists, administration of electroconvulsive therapy etc.). Results: A total of 93 patients’ case notes were analyzed, comprising 87.7% of the total number of discharges during the study period. The hospital LOS was 55 days. Using the median LOS as the cut-off, 49.5% had short LOS (LOS <55 days), while 50.5% had prolonged LOS (LOS ≥55 days). LOS was significantly associated with employment status (χ2 = 3.871, P = 0.049), distance of patients’ residence from the hospital (χ2 = 4.300, P = 0.038), reported medication side effects while on admission (χ2 = 3.986, P = 0.046), previous psychiatric hospitalizations (χ2 = 4.748, P = 0.029) and duration of current illness before admission (Z = −4.020, P < 0.001). The result of the binary logistic regression analysis showed that only previous psychiatric hospitalizations made a unique statistically significant contribution to the model (beta = 1.021, wald = 4.433, P = 0.035, odds ratio = 2.775, 95% confidence interval = 1.073-7.174). Conclusion: Despite their significant association with hospital LOS, socio-demographic, illness and treatment related factors explained only a minimal variation in hospital LOS. It is possible that variables “external” to either patients’ characteristics or physicians’ practice style, are more significant predictors of long hospital LOS. These findings may help guide policy makers in improving the efficiency mental health service delivery in Nigeria.