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Psychometric properties of screening questionnaires to detect depression in primary healthcare setting in rural Ethiopia

BACKGROUND: Much of the research about the validity of depression screening questionnaires is on criterion validity. Evidence is scarce on the concurrent, convergent and construct validity of these measures, particularly from low-income countries. This study aimed to evaluate the psychometric proper...

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Autores principales: Habtamu, Kassahun, Birhane, Rahel, Medhin, Girmay, Hanlon, Charlotte, Fekadu, Abebaw
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161478/
https://www.ncbi.nlm.nih.gov/pubmed/35655164
http://dx.doi.org/10.1186/s12875-022-01755-2
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author Habtamu, Kassahun
Birhane, Rahel
Medhin, Girmay
Hanlon, Charlotte
Fekadu, Abebaw
author_facet Habtamu, Kassahun
Birhane, Rahel
Medhin, Girmay
Hanlon, Charlotte
Fekadu, Abebaw
author_sort Habtamu, Kassahun
collection PubMed
description BACKGROUND: Much of the research about the validity of depression screening questionnaires is on criterion validity. Evidence is scarce on the concurrent, convergent and construct validity of these measures, particularly from low-income countries. This study aimed to evaluate the psychometric properties of depression screening questionnaires in primary healthcare (PHC) in rural Ethiopia. METHODS: A facility-based cross-sectional study was conducted with 587 participants recruited from patients attending three PHC facilities and two ‘Holy water sites’ (places where religious treatment is being provided). The psychometric properties of five mental health screening questionnaires were evaluated: the nine item Patient Health Questionnaire (PHQ-9), the two item version of PHQ-9 (PHQ-2), a version of PHQ-9 with two added items of irritability and noise intolerance (PHQ-11), the Patient Health Questionnaire-15 (PHQ-15), and the World Health Organization-Five Well-being Index (WHO-5). Clinical diagnosis of depression was ascertained by psychiatrists. We analyzed data using exploratory factor analysis, Spearman’s rank order correlation coefficient (Rho), the Mann Whitney test of the equality of medians, univariate logistic regression and Cronbach’s alpha. RESULTS: PHQ-9, PHQ-11 and WHO-5 were found to be unidimensional, with items in each scale highly loading onto one factor (factor loadings ranging from 0.64 to 0.87). The items of each instrument were internally consistent, with Cronbach’s alpha ranging from 0.72 (PHQ-2) to 0.89 (PHQ-11). Scores for all screening scales were moderately or highly correlated with each other (Rho = 0.58 to 0.98) and moderately correlated with anxiety and disability scores. Median scores of all screening scales were significantly higher in those diagnosed with depression. The association of items measuring emotional and cognitive symptoms with the diagnosis of depression was stronger than the association with items measuring somatic symptoms. Irritability and noise intolerance had higher association with depression diagnosis than PHQ-9 items. CONCLUSION: Emotional and cognitive symptoms are more useful than somatic symptoms to predict the diagnosis of depression in the PHC context in Ethiopia. Future research should focus on testing the unidimensionality of PHQ-9, PHQ-11 and WHO-5 using confirmatory factor analysis; establishing the criterion validity of PHQ-11 and WHO-5; and on assessing test-retest reliability of all the measures.
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spelling pubmed-91614782022-06-03 Psychometric properties of screening questionnaires to detect depression in primary healthcare setting in rural Ethiopia Habtamu, Kassahun Birhane, Rahel Medhin, Girmay Hanlon, Charlotte Fekadu, Abebaw BMC Prim Care Research BACKGROUND: Much of the research about the validity of depression screening questionnaires is on criterion validity. Evidence is scarce on the concurrent, convergent and construct validity of these measures, particularly from low-income countries. This study aimed to evaluate the psychometric properties of depression screening questionnaires in primary healthcare (PHC) in rural Ethiopia. METHODS: A facility-based cross-sectional study was conducted with 587 participants recruited from patients attending three PHC facilities and two ‘Holy water sites’ (places where religious treatment is being provided). The psychometric properties of five mental health screening questionnaires were evaluated: the nine item Patient Health Questionnaire (PHQ-9), the two item version of PHQ-9 (PHQ-2), a version of PHQ-9 with two added items of irritability and noise intolerance (PHQ-11), the Patient Health Questionnaire-15 (PHQ-15), and the World Health Organization-Five Well-being Index (WHO-5). Clinical diagnosis of depression was ascertained by psychiatrists. We analyzed data using exploratory factor analysis, Spearman’s rank order correlation coefficient (Rho), the Mann Whitney test of the equality of medians, univariate logistic regression and Cronbach’s alpha. RESULTS: PHQ-9, PHQ-11 and WHO-5 were found to be unidimensional, with items in each scale highly loading onto one factor (factor loadings ranging from 0.64 to 0.87). The items of each instrument were internally consistent, with Cronbach’s alpha ranging from 0.72 (PHQ-2) to 0.89 (PHQ-11). Scores for all screening scales were moderately or highly correlated with each other (Rho = 0.58 to 0.98) and moderately correlated with anxiety and disability scores. Median scores of all screening scales were significantly higher in those diagnosed with depression. The association of items measuring emotional and cognitive symptoms with the diagnosis of depression was stronger than the association with items measuring somatic symptoms. Irritability and noise intolerance had higher association with depression diagnosis than PHQ-9 items. CONCLUSION: Emotional and cognitive symptoms are more useful than somatic symptoms to predict the diagnosis of depression in the PHC context in Ethiopia. Future research should focus on testing the unidimensionality of PHQ-9, PHQ-11 and WHO-5 using confirmatory factor analysis; establishing the criterion validity of PHQ-11 and WHO-5; and on assessing test-retest reliability of all the measures. BioMed Central 2022-06-02 /pmc/articles/PMC9161478/ /pubmed/35655164 http://dx.doi.org/10.1186/s12875-022-01755-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Habtamu, Kassahun
Birhane, Rahel
Medhin, Girmay
Hanlon, Charlotte
Fekadu, Abebaw
Psychometric properties of screening questionnaires to detect depression in primary healthcare setting in rural Ethiopia
title Psychometric properties of screening questionnaires to detect depression in primary healthcare setting in rural Ethiopia
title_full Psychometric properties of screening questionnaires to detect depression in primary healthcare setting in rural Ethiopia
title_fullStr Psychometric properties of screening questionnaires to detect depression in primary healthcare setting in rural Ethiopia
title_full_unstemmed Psychometric properties of screening questionnaires to detect depression in primary healthcare setting in rural Ethiopia
title_short Psychometric properties of screening questionnaires to detect depression in primary healthcare setting in rural Ethiopia
title_sort psychometric properties of screening questionnaires to detect depression in primary healthcare setting in rural ethiopia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161478/
https://www.ncbi.nlm.nih.gov/pubmed/35655164
http://dx.doi.org/10.1186/s12875-022-01755-2
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