Redefining Diagnostic Symptoms of Depression Using Rasch Analysis: Testing an Item Bank Suitable for DSM-V and Computer Adaptive Testing.
Objective: We aimed to redefine the optimal self-report symptoms of depression suitable for creation of an item bank that could be used in computer adaptive testing or to develop a simplified screening tool for DSM-V.Method: Four hundred subjects (200 patients with primary depression and 200 non-dep...
| Publicado en: | Australian & New Zealand Journal of Psychiatry Vol. 45; no. 10; pp. 846 - 853 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Oct2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104418583&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104418583 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00048674 7ZU jtl: Australian & New Zealand Journal of Psychiatry issn: 00048674 maglogo: Y pubinfo: dt: Oct2011 vid: 45 iid: 10 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 104418583 80237546 10.3109/00048674.2011.596477 NLM21879815 104418583 ppf: 846 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Redefining Diagnostic Symptoms of Depression Using Rasch Analysis: Testing an Item Bank Suitable for DSM-V and Computer Adaptive Testing. aug: au: Mitchell, Alex J. Smith, Adam B. Al-salihy, Zerak Rahim, Twana A. Mahmud, Mahmud Q. Muhyaldin, Asma S. affil: Leicestershire Partnership Trust, Leicester, LE5 4PW, UK, Department of Cancer Studies and Molecular Medicine, Leicester Royal Infirmary, Leicester, UK ajm80@le.ac.uk sug: subj: Depression Classification Depression Symptoms DSM Computerized Adaptive Testing Human Rasch Analysis Descriptive Statistics Clinical Assessment Tools Sensitivity and Specificity Iraq T-Tests Confidence Intervals Data Analysis Software ROC Curve ab: Objective: We aimed to redefine the optimal self-report symptoms of depression suitable for creation of an item bank that could be used in computer adaptive testing or to develop a simplified screening tool for DSM-V.Method: Four hundred subjects (200 patients with primary depression and 200 non-depressed subjects), living in Iraqi Kurdistan were interviewed. The Mini International Neuropsychiatric Interview (MINI) was used to define the presence of major depression (DSM-IV criteria). We examined symptoms of depression using four well-known scales delivered in Kurdish. The Partial Credit Model was applied to each instrument. Common-item equating was subsequently used to create an item bank and differential item functioning (DIF) explored for known subgroups.Results: A symptom level Rasch analysis reduced the original 45 items to 24 items of the original after the exclusion of 21 misfitting items. A further six items (CESD13 and CESD17, HADS-D4, HADS-D5 and HADS-D7, and CDSS3 and CDSS4) were removed due to misfit as the items were added together to form the item bank, and two items were subsequently removed following the DIF analysis by diagnosis (CESD20 and CDSS9, both of which were harder to endorse for women). Therefore the remaining optimal item bank consisted of 17 items and produced an area under the curve (AUC) of 0.987. Using a bank restricted to the optimal nine items revealed only minor loss of accuracy (AUC = 0.989, sensitivity 96%, specificity 95%). Finally, when restricted to only four items accuracy was still high (AUC was still 0.976; sensitivity 93%, specificity 96%).Conclusions: An item bank of 17 items may be useful in computer adaptive testing and nine or even four items may be used to develop a simplified screening tool for DSM-V major depressive disorder (MDD). Further examination of this item bank should be conducted in different cultural settings. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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