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Prevalence of unrecognized depression and associated factors among medical outpatient department attendees; a cross sectional study

OBJECTIVES: To determine the prevalence and associated factors of unrecognized depression among patients who visit non-psychiatric outpatient departments in the University of Gondar specialized teaching hospital. North West Ethiopia. METHODS: An institution-based cross-sectional study was conducted...

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Autores principales: Lemma, Alemu, Mulat, Haregewoyin, Nigussie, Kabtamu, Getinet, Wondale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8691632/
https://www.ncbi.nlm.nih.gov/pubmed/34932584
http://dx.doi.org/10.1371/journal.pone.0261064
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author Lemma, Alemu
Mulat, Haregewoyin
Nigussie, Kabtamu
Getinet, Wondale
author_facet Lemma, Alemu
Mulat, Haregewoyin
Nigussie, Kabtamu
Getinet, Wondale
author_sort Lemma, Alemu
collection PubMed
description OBJECTIVES: To determine the prevalence and associated factors of unrecognized depression among patients who visit non-psychiatric outpatient departments in the University of Gondar specialized teaching hospital. North West Ethiopia. METHODS: An institution-based cross-sectional study was conducted among Medical outpatient departments in the University of Gondar specialized referral hospital from March to April 2019. We collected data through face-to-face interviews. We recruited 314 participants for face-to-face interviews using the systematic random sampling technique. The patient health questionnaire (PHQ-9) was used to measure depression. Coded variables were entered into Epi Info version 7 and exported to SPSS version 20 for analysis. Descriptive statistics and multivariable logistic regression analysis were used. Adjusted odds ratios (AOR) with a 95% confidence interval were used to calculate significance. RESULTS: A total of 314 participants were interviewed with a response rate of 100%. The prevalence of depression was 15.9% with (95% CI (12.1–20.1)). In the multivariate logistic regression revealed that, able to read and write (AOR = 0.24, 95% CI (0.67–0.84)), secondary education (AOR = 0.34, 95% CI (0.12–0.91)), education in college and university level (AOR = 0.32, 95% CI (0.13–0.78)), poor social support (AOR = 7.78, 95% CI (2.74–22.09)), current cigarette smokers(AOR = 12.65, 95% CI (1.79–89.14)) were associated with depression. CONCLUSION: The prevalence of depression among outpatient attendees was high. We recommend an early depression screening be carried out by health professionals.
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spelling pubmed-86916322021-12-22 Prevalence of unrecognized depression and associated factors among medical outpatient department attendees; a cross sectional study Lemma, Alemu Mulat, Haregewoyin Nigussie, Kabtamu Getinet, Wondale PLoS One Research Article OBJECTIVES: To determine the prevalence and associated factors of unrecognized depression among patients who visit non-psychiatric outpatient departments in the University of Gondar specialized teaching hospital. North West Ethiopia. METHODS: An institution-based cross-sectional study was conducted among Medical outpatient departments in the University of Gondar specialized referral hospital from March to April 2019. We collected data through face-to-face interviews. We recruited 314 participants for face-to-face interviews using the systematic random sampling technique. The patient health questionnaire (PHQ-9) was used to measure depression. Coded variables were entered into Epi Info version 7 and exported to SPSS version 20 for analysis. Descriptive statistics and multivariable logistic regression analysis were used. Adjusted odds ratios (AOR) with a 95% confidence interval were used to calculate significance. RESULTS: A total of 314 participants were interviewed with a response rate of 100%. The prevalence of depression was 15.9% with (95% CI (12.1–20.1)). In the multivariate logistic regression revealed that, able to read and write (AOR = 0.24, 95% CI (0.67–0.84)), secondary education (AOR = 0.34, 95% CI (0.12–0.91)), education in college and university level (AOR = 0.32, 95% CI (0.13–0.78)), poor social support (AOR = 7.78, 95% CI (2.74–22.09)), current cigarette smokers(AOR = 12.65, 95% CI (1.79–89.14)) were associated with depression. CONCLUSION: The prevalence of depression among outpatient attendees was high. We recommend an early depression screening be carried out by health professionals. Public Library of Science 2021-12-21 /pmc/articles/PMC8691632/ /pubmed/34932584 http://dx.doi.org/10.1371/journal.pone.0261064 Text en © 2021 Lemma et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lemma, Alemu
Mulat, Haregewoyin
Nigussie, Kabtamu
Getinet, Wondale
Prevalence of unrecognized depression and associated factors among medical outpatient department attendees; a cross sectional study
title Prevalence of unrecognized depression and associated factors among medical outpatient department attendees; a cross sectional study
title_full Prevalence of unrecognized depression and associated factors among medical outpatient department attendees; a cross sectional study
title_fullStr Prevalence of unrecognized depression and associated factors among medical outpatient department attendees; a cross sectional study
title_full_unstemmed Prevalence of unrecognized depression and associated factors among medical outpatient department attendees; a cross sectional study
title_short Prevalence of unrecognized depression and associated factors among medical outpatient department attendees; a cross sectional study
title_sort prevalence of unrecognized depression and associated factors among medical outpatient department attendees; a cross sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8691632/
https://www.ncbi.nlm.nih.gov/pubmed/34932584
http://dx.doi.org/10.1371/journal.pone.0261064
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