Diagnosing depression in primary care: a Rasch analysis of the Major Depression Inventory.
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| Title: | Diagnosing depression in primary care: a Rasch analysis of the Major Depression Inventory. |
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| Authors: | Christensen, Kaj Sparle (AUTHOR), Oernboel, Eva (AUTHOR), Nielsen, Marie Germund (AUTHOR), Bech, Per (AUTHOR) |
| Source: | Scandinavian Journal of Primary Health Care. Jun2019, Vol. 37 Issue 2, p256-263. 8p. |
| Subjects: | Diagnosis of mental depression, Medical screening, Primary health care, Questionnaires, Statistics, Data analysis, Research methodology evaluation, Data analysis software |
| Geographic Terms: | Denmark |
| Abstract: | 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. 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Scandinavian Journal of Primary Health Care is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 136746002 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Diagnosing depression in primary care: a Rasch analysis of the Major Depression Inventory. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Christensen%2C+Kaj+Sparle%22">Christensen, Kaj Sparle</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Oernboel%2C+Eva%22">Oernboel, Eva</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nielsen%2C+Marie+Germund%22">Nielsen, Marie Germund</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bech%2C+Per%22">Bech, Per</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Scandinavian+Journal+of+Primary+Health+Care%22">Scandinavian Journal of Primary Health Care</searchLink>. Jun2019, Vol. 37 Issue 2, p256-263. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Diagnosis+of+mental+depression%22">Diagnosis of mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+screening%22">Medical screening</searchLink><br /><searchLink fieldCode="DE" term="%22Primary+health+care%22">Primary health care</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology+evaluation%22">Research methodology evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Denmark%22">Denmark</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Scandinavian Journal of Primary Health Care is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/02813432.2019.1608039 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 256 Subjects: – SubjectFull: Diagnosis of mental depression Type: general – SubjectFull: Medical screening Type: general – SubjectFull: Primary health care Type: general – SubjectFull: Questionnaires Type: general – SubjectFull: Statistics Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Research methodology evaluation Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Denmark Type: general Titles: – TitleFull: Diagnosing depression in primary care: a Rasch analysis of the Major Depression Inventory. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Christensen, Kaj Sparle – PersonEntity: Name: NameFull: Oernboel, Eva – PersonEntity: Name: NameFull: Nielsen, Marie Germund – PersonEntity: Name: NameFull: Bech, Per IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 02813432 Numbering: – Type: volume Value: 37 – Type: issue Value: 2 Titles: – TitleFull: Scandinavian Journal of Primary Health Care Type: main |
| ResultId | 1 |
