Evidence map›Paper›PMID 31695576›Full record

ArticleBMC nursing2019

Burnout as a predictor of depression: a cross-sectional study of the sociodemographic and clinical predictors of depression amongst nurses in Cameroon.

Clarence Mbanga, Haman Makebe, Divine Tim, Steve Fonkou, Louise Toukam, Tsi Njim

Open access · goldAbstract read
In one paragraph

Article in BMC nursing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 16 citations in OpenAlex.

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  7. Impact of burnout on depression among nurses at a private hospital in Johannesburg, South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Clarence MbangaMankon Sub-Divisional Hospital, Bamenda, Cameroon.
Haman Makebe2Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA UK.
Divine TimClinical Research Education Networking and Consultancy, Douala, Cameroon.
Steve Fonkou6Faculty of Health Sciences, University of Buea, Buea, Cameroon.
Louise Toukam2Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA UK.
Tsi Njim2Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA UK.ORCID 0000-0002-0789-0443
Liverpool School of Tropical Medicine · GBUniversity of Douala · CMUniversity of Bamenda · CMUniversity of Buea · CM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression 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.

methodsCross-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.

resultsA 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;

conclusionDepression 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.

Indexed as

Burnout syndromeCameroonDepressionNursesOldenburg burnout inventoryPatient health Questionnaire-9

Identifiers

PMID31695576
PMCPMC6823949
OpenAlexW2984865304

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.