Mbanga, Clarence, Makebe, Haman, Tim, Divine, Fonkou, Steve, Toukam, Louise and Njim, Tsi (2019) 'Burnout as a predictor of depression: a cross-sectional study of the sociodemographic and clinical predictors of depression amongst nurses in Cameroon'. BMC Nursing, Vol 18, Issue 1.
|
Text
Mbanga2019_Article_BurnoutAsAPredictorOfDepressio.pdf - Published Version Available under License Creative Commons Attribution. Download (622kB) | Preview |
|
Text
Final_Manuscript.docx - Accepted Version Available under License Creative Commons Attribution. Download (106kB) |
Abstract
Background: Depression is a debilitating mental health condition which affects an estimated 350 million people
worldwide annually. Nurses are twice as likely to suffer from depression than professionals in other professions. This
leads to a considerable loss of efficiency and productivity. We sought to determine the prevalence and predictors
of depression among nurses in Cameroon.
Methods: Cross-sectional analysis carried out over 6 months (January – June 2018) using nurses from public and
private healthcare institutions sampled consecutively in the two English-speaking regions (North west and South
west regions) of Cameroon. The nurses were handed a structured, printed, self-administered questionnaire to fill
and hand in at their earliest convenience. Depression and burnout were assessed using the Patient Health
Questionnaire – 9 and the Oldenburg Burnout Inventory respectively.
Results: A total of 143 nurses were recruited (mean age: 29.75 ± 6.55 years; age range: 20–55 years, 32.87% male).
The overall prevalence of depression was 62.24%. Independent predictors of depression after multivariable analysis
were: Number of night shifts a week (adjusted odds ratio: 1.58; p value: 0.045, 95% CI; 1.01, 2.48) and Total
Oldenburg Burnout Inventory score (adjusted odds ratio: 1.21, p value: 0.001; 95% CI; 1.08, 1.35). Recreational drug
use was also found to perfectly predict the outcome – depression.
Conclusion: Depression is highly prevalent among nurses in the English-speaking regions of Cameroon. Accurate
predictors could prove vital for early detection and management of affected individuals. Predictors presented
herein require further investigation via multicentric nationwide studies, to obtain more generalizable results.
Keywords: Burnout syndrome, Nurses, Depression, Cameroon, Oldenburg burnout inventory, Patient health
Questionnaire-9
Item Type: | Article |
---|---|
Subjects: | WA Public Health > Health Problems of Special Population Groups > WA 395 Health in developing countries WM Psychiatry > WM 100 General works WY Nursing > WY 100 General works on nursing procedures |
Faculty: Department: | Clinical Sciences & International Health > International Public Health Department |
Digital Object Identifer (DOI): | https://doi.org/10.1186/s12912-019-0377-4 |
Depositing User: | Rachel Dominguez |
Date Deposited: | 03 Feb 2020 12:19 |
Last Modified: | 03 Feb 2020 12:19 |
URI: | https://archive.lstmed.ac.uk/id/eprint/13652 |
Statistics
Actions (login required)
Edit Item |