Depression screening for patients with epilepsy in a primary care setting using the Patient Health Questionnaire-2 and the Neurological Disorders Depression Inventory for Epilepsy

2011 ◽  
Vol 21 (4) ◽  
pp. 387-390 ◽  
Author(s):  
Kerrie Margrove ◽  
Seth Mensah ◽  
Ajay Thapar ◽  
Michael Kerr
Keyword(s):  
Primary Care ◽  
Neurological Disorders ◽  
Care Setting ◽  
Primary Care Setting ◽  
Depression Screening ◽  
Patient Health Questionnaire ◽  
Health Questionnaire ◽  
Patient Health ◽  
Patients With Epilepsy

scholarly journals A Pilot Study on Using the Patient Health Questionnaire in the Primary Care Setting in Japan

2005 ◽  
Vol 6 (1) ◽  
pp. 9-16
Author(s):  
Kazuhiro Waza ◽  
Graham Antonnette ◽  
Zyzanski Stephen ◽  
Kazuo Inoue ◽  
Masato Sasaki ◽  
...  
Keyword(s):  
Primary Care ◽  
Pilot Study ◽  
Care Setting ◽  
Primary Care Setting ◽  
Patient Health Questionnaire ◽  
Health Questionnaire ◽  
Patient Health

Validation of Patient Health Questionnaire for depression screening among primary care patients in Taiwan

2011 ◽  
Vol 52 (1) ◽  
pp. 96-101 ◽  
Author(s):  
Shen-Ing Liu ◽  
Zai-Ting Yeh ◽  
Hui-Chun Huang ◽  
Fang-Ju Sun ◽  
Jin-Jin Tjung ◽  
...  
Keyword(s):  
Primary Care ◽  
Depression Screening ◽  
Patient Health Questionnaire ◽  
Health Questionnaire ◽  
Patient Health ◽  
Primary Care Patients

scholarly journals Validity and Item Response Theory Properties of the Patient Health Questionnaire-9 for Primary Care Depression Screening in Mozambique (PHQ-9-MZ)

2020 ◽  
Author(s):  
Vasco Francisco Japissane Cumbe ◽  
Alberto Gabriel Muanido ◽  
Maria Nélia Manaca ◽  
Hélder Fumo ◽  
Pedro Chiruca ◽  
...  
Keyword(s):  
Primary Care ◽  
Characteristic Curve ◽  
Depression Screening ◽  
Patient Health Questionnaire ◽  
Health Questionnaire ◽  
Cut Points ◽  
Factor Loadings ◽  
Cut Point ◽  
Patient Health ◽  
Multi Phase

Abstract Background: Depression is one of the leading causes of disability in Mozambique; however, few patients with depression are identified in primary care. To our knowledge, there are no validated tools for depression screening in Mozambique. The aim of this study was to validate the Patient Health Questionnaire-9 (PHQ-9) for use in primary care settings in Mozambique.Methods: The PHQ-9 was adapted using a structured multi-phase process led by a team of bilingual experts followed by a review by lay individuals and pilot-testing including cognitive interviews. The final Mozambican PHQ-9 (PHQ-9-MZ) was applied among 502 individuals randomly selected from antenatal, postpartum, and general outpatient consultations in three Ministry of Health primary healthcare clinics in Sofala Province, Mozambique. The PHQ-9-MZ was evaluated against the MINI 5.0-MZ as a gold standard diagnostic tool.Results: The majority of participants were female (74%), with a mean age of 28. Using the MINI 5.0-MZ, 43 (9%) of the sample tested positive for major depressive disorder. Items of the PHQ-9-MZ showed good discrimination and factor loadings. One latent factor of depression explained 54% of the variance in scores. Questions 3 (sleep) and 5 (appetite) had the lowest item discrimination and factor loadings. The PHQ-9-MZ showed good internal consistency, with a Cronbach’s alpha of 0.84, and an area under the receiver operating characteristic curve (AUROC) of 0.81 (95% CI: 0.73, 0.89). The PHQ-2-MZ had an AUROC of 0.78 (95% CI: 0.70, 0.85). Using a cut-point of ≥9, the PHQ-9-MZ had a sensitivity of 46.5% and a specificity of 93.5%. Using a cut-point of ≥2, the PHQ-2-MZ had a sensitivity of 74.4% and a specificity of 71.7%. Increasing the cut-point to ≥3, the PHQ-2-MZ has a sensitivity of 32.6% and a specificity of 94.6%. Conclusions: The PHQ-9-MZ and PHQ-2-MZ emerge as two valid alternatives for screening for depression in primary health care settings in Mozambique. Depending on program needs and weighing the value of minimizing false positives and false negatives, the PHQ-9-MZ can be employed with cut-points ranging from ≥8 to ≥11, and the PHQ-2-MZ with cut-points ranging from ≥2 to ≥3.

scholarly journals Validity and Item Response Theory Properties of the Patient Health Questionnaire-9 for Primary Care Depression Screening in Mozambique (PHQ-9-MZ)

2020 ◽  
Author(s):  
Vasco Francisco Japissane Cumbe ◽  
Alberto Gabriel Muanido ◽  
Maria Nélia Manaca ◽  
Hélder Fumo ◽  
Pedro Chiruca ◽  
...  
Keyword(s):  
Primary Care ◽  
Characteristic Curve ◽  
Depression Screening ◽  
Patient Health Questionnaire ◽  
Health Questionnaire ◽  
Cut Points ◽  
Factor Loadings ◽  
Cut Point ◽  
Patient Health ◽  
Multi Phase

Abstract Background: Depression is one of the leading causes of disability in Mozambique; however, few patients with depression are identified in primary care. To our knowledge, there are no validated tools for depression screening in Mozambique. The aim of this study was to validate the Patient Health Questionnaire-9 (PHQ-9) for use in primary care settings in Mozambique. Methods: The PHQ-9 was adapted using a structured multi-phase process led by a team of bilingual experts followed by a review by lay individuals and pilot-testing including cognitive interviews. The final Mozambican PHQ-9 (PHQ-9-MZ) was applied among 503 individuals randomly selected from antenatal, postpartum, and general outpatient consultations in three Ministry of Health primary healthcare clinics in Sofala Province, Mozambique. The PHQ-9-MZ was evaluated against the MINI 5.0-MZ as a gold standard diagnostic tool. Results: The majority of participants were female (74%), with a mean age of 28. Using the MINI 5.0-MZ, 43 (9%) of the sample tested positive for major depressive disorder. Items of the PHQ-9-MZ showed good discrimination and factor loadings. One latent factor of depression explained 54% of the variance in scores. Questions 3 (sleep) and 5 (appetite) had the lowest item discrimination and factor loadings. The PHQ-9-MZ showed good internal consistency, with a Cronbach’s alpha of 0.84, and an area under the receiver operating characteristic curve (AUROC) of 0.81 (95% CI: 0.73, 0.89). The PHQ-2-MZ had an AUROC of 0.78 (95% CI: 0.70, 0.85). Using a cut-point of ≥9, the PHQ-9-MZ had a sensitivity of 46.5% and a specificity of 93.5%. Using a cut-point of ≥2, the PHQ-2-MZ had a sensitivity of 74.4% and a specificity of 71.7%. Increasing the cut-point to ≥3, the PHQ-2-MZ has a sensitivity of 32.6% and a specificity of 94.6%. Conclusions: The PHQ-9-MZ and PHQ-2-MZ emerge as two valid alternatives for screening for depression in primary health care settings in Mozambique. Depending on program needs and weighing the value of minimizing false positives and false negatives, the PHQ-9-MZ can be employed with cut-points ranging from ≥8 to ≥11, and the PHQ-2-MZ with cut-points ranging from ≥2 to ≥3.

Validity of the Patient Health Questionnaire-9 (PHQ-9) for depression screening in adult primary care users in Bucaramanga, Colombia

2021 ◽  
Author(s):  
Carlos Arturo Cassiani-Miranda ◽  
Angy Karina Cuadros-Cruz ◽  
Harold Torres-Pinzón ◽  
Orlando Scoppetta ◽  
Jhon Henrry Pinzón-Tarrazona ◽  
...  
Keyword(s):  
Primary Care ◽  
Depression Screening ◽  
Patient Health Questionnaire ◽  
Health Questionnaire ◽  
Patient Health

scholarly journals Screening for depression in primary care: a Rasch analysis of the PHQ-9

2016 ◽  
Vol 40 (5) ◽  
pp. 237-243 ◽  
Author(s):  
Mike Horton ◽  
Amanda E. Perry
Keyword(s):  
Primary Care ◽  
Psychometric Properties ◽  
Rasch Analysis ◽  
Care Setting ◽  
Screening Tool ◽  
Primary Care Setting ◽  
Clinical Implications ◽  
Health Questionnaire ◽  
Patient Health ◽  
Primary Care Patients

Aims and methodTo explore the modern psychometric properties of the Patient Health Questionnaire (PHQ-9), we used the Rasch analysis in a sample of 767 primary care patients with depression.ResultsThe analysis highlighted dependency issues between items 1 and 2 (‘Little interest or pleasure in doing things’ and ‘Feeling down, depressed, or hopeless’), and items 3 and 4 (‘Trouble falling or staying asleep, or sleeping too much’ and ‘Feeling tired or having little energy’). Items 1 and 2 displayed an over-discrimination, suggesting their potential redundancy within the complete item set.Clinical implicationsIn its current format the PHQ-9 displays some problems with regard to its measurement structure among a sample of primary care patients. These problems can be addressed by removing potentially redundant items to deliver a stable screening tool. The results also lend support for the PHQ-2 to be used as a screening tool in a primary care setting.

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