Evidence map›Paper›PMID 33604086›Full record

ArticleDepression research and treatment2021

Prevalence and Associated Factors of Depression among Admitted Adult Patients in Surgical and Medical Wards of Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.

Merga Siyoum, Getachew Assfaw, Henok Yitbark, Getachew Tesfaw

Open access · hybridAbstract read
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Article in Depression research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Merga SiyoumResearch and Training Department, Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia.
Getachew AssfawResearch and Training Department, Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia.
Henok YitbarkResearch and Training Department, Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia.
Getachew TesfawDepartment of Psychiatry, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.ORCID https://orcid.org/0000-0003-4547-9732
University of Gondar · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a leading cause of major public health problems globally, and its prevalence has been increasing, particularly in low- and middle-income countries including our country. Therefore, this study is aimed at exploring depression symptoms and their determinants among admitted medical and surgical patients which is important to get optimal care for patients.

methodsAn institution-based cross-sectional study was conducted from May to June 2019, on adults' medical and surgical admitted patients at Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia. The systematic random sampling technique was used to get a total of 590 samples. The standardized hospital anxiety and depression scale (HADS) was used to assess individual depression symptoms. We computed the bivariate and multivariate binary logistic regression analyses to identify factors associated with depression symptoms. Statistical significance was declared at

resultThe prevalence of depression symptoms was found to be 53.9% (95% CI: 50.2, 57.0). In the multivariable logistic regression, female sex (AOR = 2.04, 95% CI: 1.35, 3.09), being single (AOR = 3.65, 95% CI: 3.48, 2.10, 5.78), widowed (AOR = 2.82, 95% CI: 1.27, 6.30), unable to read and write (AOR = 2.71, 95% CI: 1.14, 6.47), admission at medical ward (AOR = 1.59, 95% CI: 1.02, 2.46), history of mental illness (AOR = 1.59, 95% CI: 1.02, 2.46), and poor social support (AOR = 2.82, 95% CI: 1.57, 5.11) were factors significantly associated with depression symptoms.

conclusionThe prevalence of depression symptoms among admitted patients was high. Female sex, being single, widowed, unable to read and write, admission at medical ward, history of mental illness, and poor social support were factors significantly associated with depression symptoms. It is better for the Ministry of Health to give training on how to screen depression among medical and surgical patients, and interventions that would be addressing the awareness of the above factors would be beneficial to prevent further complications.

Identifiers

PMID33604086
PMCPMC7868141
OpenAlexW3126826897

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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.