Diagnosing depression in primary care: a Rasch analysis of the Major Depression Inventory

Objective: This study aimed to assess the measurement properties of the Major Depression Inventory (MDI) in a clinical sample of primary care patients. Design: General practitioners (GPs) handed out the MDI to patients aged 18–65 years on clinical suspicion of depression. Setting: Thirty-seven gener...

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Main Authors: Kaj Sparle Christensen, Eva Oernboel, Marie Germund Nielsen, Per Bech
Format: Article
Language:English
Published: Taylor & Francis Group 2019-04-01
Series:Scandinavian Journal of Primary Health Care
Subjects:
Online Access:http://dx.doi.org/10.1080/02813432.2019.1608039
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spelling doaj-79c191f081744012907df8ded7a3d11a2020-11-25T01:48:50ZengTaylor & Francis GroupScandinavian Journal of Primary Health Care0281-34321502-77242019-04-0137225626310.1080/02813432.2019.16080391608039Diagnosing depression in primary care: a Rasch analysis of the Major Depression InventoryKaj Sparle Christensen0Eva Oernboel1Marie Germund Nielsen2Per Bech3Aarhus UniversityAarhus University HospitalAarhus UniversityUniversity of CopenhagenObjective: This study aimed to assess the measurement properties of the Major Depression Inventory (MDI) in a clinical sample of primary care patients. Design: General practitioners (GPs) handed out the MDI to patients aged 18–65 years on clinical suspicion of depression. Setting: Thirty-seven general practices in the Central Denmark Region participated in the study. Patients: Data for 363 patients (65% females, mean age: 49.8 years, SD: 17.7) consulting their GP were included in the analysis. Main outcome measures: The overall fit to the Rasch model, individual item and person fit, and adequacy of response categories were tested. Statistical tests for local dependency, unidimensionality, differential item functioning, and correct targeting of the scale were performed. The person separation reliability index was calculated. All analyses were performed using RUMM2030 software. Results: Items 9 and 10 demonstrated misfit to the Rasch model, and all items demonstrated disordered response categories. After modifying the original six-point to a five-point scoring system, ordered response categories were achieved for all 10 items. The MDI items seemed well targeted to the population approached. Model fit was also achieved for core symptoms of depression (items 1–3) and after dichotomization of items according to diagnostic procedure. Conclusion: Despite some minor problems with its measurement structure, the MDI seems to be a valid instrument for identification of depression among adults in primary care. The results support screening for depression based on core symptoms and dichotomization of items according to diagnostic procedure.Key points The Major Depression Inventory (MDI) is widely used for screening, diagnosis and monitoring of depression in general practice. This study demonstrates misfit of items 9 and 10 to the Rasch model and a need to modify the scoring system The findings support screening for depression based on core symptoms and dichotomization of items according to diagnostic procedure. Minor problems with measurement structure should be addressed in future revisions of the MDI.http://dx.doi.org/10.1080/02813432.2019.1608039depressiondiagnosismass screeningprimary health carepsychiatric status rating scalespsychometrics
collection DOAJ
language English
format Article
sources DOAJ
author Kaj Sparle Christensen
Eva Oernboel
Marie Germund Nielsen
Per Bech
spellingShingle Kaj Sparle Christensen
Eva Oernboel
Marie Germund Nielsen
Per Bech
Diagnosing depression in primary care: a Rasch analysis of the Major Depression Inventory
Scandinavian Journal of Primary Health Care
depression
diagnosis
mass screening
primary health care
psychiatric status rating scales
psychometrics
author_facet Kaj Sparle Christensen
Eva Oernboel
Marie Germund Nielsen
Per Bech
author_sort Kaj Sparle Christensen
title Diagnosing depression in primary care: a Rasch analysis of the Major Depression Inventory
title_short Diagnosing depression in primary care: a Rasch analysis of the Major Depression Inventory
title_full Diagnosing depression in primary care: a Rasch analysis of the Major Depression Inventory
title_fullStr Diagnosing depression in primary care: a Rasch analysis of the Major Depression Inventory
title_full_unstemmed Diagnosing depression in primary care: a Rasch analysis of the Major Depression Inventory
title_sort diagnosing depression in primary care: a rasch analysis of the major depression inventory
publisher Taylor & Francis Group
series Scandinavian Journal of Primary Health Care
issn 0281-3432
1502-7724
publishDate 2019-04-01
description Objective: This study aimed to assess the measurement properties of the Major Depression Inventory (MDI) in a clinical sample of primary care patients. Design: General practitioners (GPs) handed out the MDI to patients aged 18–65 years on clinical suspicion of depression. Setting: Thirty-seven general practices in the Central Denmark Region participated in the study. Patients: Data for 363 patients (65% females, mean age: 49.8 years, SD: 17.7) consulting their GP were included in the analysis. Main outcome measures: The overall fit to the Rasch model, individual item and person fit, and adequacy of response categories were tested. Statistical tests for local dependency, unidimensionality, differential item functioning, and correct targeting of the scale were performed. The person separation reliability index was calculated. All analyses were performed using RUMM2030 software. Results: Items 9 and 10 demonstrated misfit to the Rasch model, and all items demonstrated disordered response categories. After modifying the original six-point to a five-point scoring system, ordered response categories were achieved for all 10 items. The MDI items seemed well targeted to the population approached. Model fit was also achieved for core symptoms of depression (items 1–3) and after dichotomization of items according to diagnostic procedure. Conclusion: Despite some minor problems with its measurement structure, the MDI seems to be a valid instrument for identification of depression among adults in primary care. The results support screening for depression based on core symptoms and dichotomization of items according to diagnostic procedure.Key points The Major Depression Inventory (MDI) is widely used for screening, diagnosis and monitoring of depression in general practice. This study demonstrates misfit of items 9 and 10 to the Rasch model and a need to modify the scoring system The findings support screening for depression based on core symptoms and dichotomization of items according to diagnostic procedure. Minor problems with measurement structure should be addressed in future revisions of the MDI.
topic depression
diagnosis
mass screening
primary health care
psychiatric status rating scales
psychometrics
url http://dx.doi.org/10.1080/02813432.2019.1608039
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