Evidence map›Paper›PMID 39418266›Full record

ArticlePloS one2024

Depression and its associated factors among health care workers in Saint Paul's hospital millennium medical college, Ethiopia.

Melese Bahiru Tesema, Berhanu Teshome Woldeamanuel, Eyoel Berhane Mekonen, Kidest Getu Melese

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Melese Bahiru TesemaDepartment of Primary Health Care Unit, Abebe Bikila Health Center, Addis Ketema Sub-City, Addis Ababa, Ethiopia.ORCID 0009-0005-4771-6131
Berhanu Teshome WoldeamanuelDepartment of Epidemiology and Biostatistics, School of Public Health, Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Eyoel Berhane MekonenPublic Health Department, Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Kidest Getu MeleseSchool of Midwifery, Wolaita Sodo University, Wolaita, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a common mental disorder that affects 3.8% of the general population and 24% of healthcare workers globally. Healthcare professionals are more susceptible to depression because they face higher amounts of professional stress in their jobs and academic lives. However, there is limited knowledge regarding health professionals' level of depression in Ethiopia. This study aimed to assess the prevalence of depression and associated factors among health professionals, at Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.

methodsWe conducted an institution-based cross-sectional study among 439 randomly selected healthcare workers using interviewer-administered patient health questionnaire-9 from April to May 2023. Ordinal logistic regression was performed to identify predictors of depression. Reported p-values < 0.05 or a 95% Confidence Interval of Odds Ratio excluding one was considered statistically significant.

resultThe overall prevalence of depression among healthcare workers was 21.9% (95%CI: 18%, 27.76%). There were reports of mild (35%), moderate (13%) and severe (9%) depression, respectively. Marital status of being single (AOR = 7.78, 95%CI: 1.123, 49.01), history of childhood abuse (AOR = 2.57, 95%CI:1.49, 4.42), history of suicidal attempt (AOR = 2.66, 95%CI:1.25,5.67), having a history of stressful life event (AOR = 1.527, 95%CI: 1.02,2.3), back pain over the past 30 days (AOR = 2, 95%CI: 1.30,3.11), working for more than 8 hours (AOR = 3.03, 95%CI: 1.12,8.24), and having experience of 5-10 year (AOR = 4, 95%CI: 1.05,15.27) and 10-15 years (AOR = 4.24, 95%CI: 1.08,16.58) and poor social support (AOR = 2.09, 95%CI: 1.09,3.99) were statistically associated with increased level of depression.

conclusionHealthcare professionals' higher rate of depression was due to the higher workload, childhood abuse, history of stressful life, back pain, and poor social support. Thus, the hospital should give special attention to early screening and treatment for depression for those healthcare workers who have a high workload, childhood abuse, back pain, a history of stressful life and poor social support. Similarly, the Ministry of Health should also design strategies to screen, detect and treat depression among healthcare workers.

Indexed as

DepressionHealth PersonnelAdultCross-Sectional StudiesEthiopiaFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsSurveys and QuestionnairesYoung Adult

Identifiers

PMID39418266
PMCPMC11486375

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LicenceCC BY
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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.