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Disentangling Multiple Sclerosis and depression: an adjusted depression screening score for patient-centered care.

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Title: Disentangling Multiple Sclerosis and depression: an adjusted depression screening score for patient-centered care.
Authors: Gunzler, Douglas (AUTHOR), Perzynski, Adam (AUTHOR), Morris, Nathan (AUTHOR), Bermel, Robert (AUTHOR), Lewis, Steven (AUTHOR), Miller, Deborah (AUTHOR)
Source: Journal of Behavioral Medicine. Apr2015, Vol. 38 Issue 2, p237-250. 14p.
Subjects: Diagnosis of mental depression, Mental health, Medical screening, Chi-squared test, Factor analysis, Fatigue (Physiology), Multiple sclerosis, Questionnaires, Research funding, Statistics, T-test (Statistics), Data analysis, Structural equation modeling, Patient-centered care, Data analysis software, Statistical models, Descriptive statistics, Symptoms
Abstract: Screening for depression can be challenging in Multiple Sclerosis (MS) patients due to the overlap of depressive symptoms with other symptoms, such as fatigue, cognitive impairment and functional impairment, for MS patients. The aim of this study was to understand these overlapping symptoms and subsequently develop an adjusted depression screening tool for better clinical assessment of depressive symptoms in MS patients. We evaluated 3,507 MS patients with a self-reported depression screening (PHQ-9) score using a multiple indicator multiple cause modeling approach. Our models showed significant differential item functioning effects denoting significant overlap of depressive symptoms with all MS symptoms under study and good model fit. The magnitude of the overlap was especially large for fatigue. Adjusted depression screening scales were formed based on factor scores and loadings that will allow clinicians to understand the depressive symptoms separate from other symptoms for MS patients for improved patient care. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Behavioral Medicine is the property of Springer Nature 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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  Data: Screening for depression can be challenging in Multiple Sclerosis (MS) patients due to the overlap of depressive symptoms with other symptoms, such as fatigue, cognitive impairment and functional impairment, for MS patients. The aim of this study was to understand these overlapping symptoms and subsequently develop an adjusted depression screening tool for better clinical assessment of depressive symptoms in MS patients. We evaluated 3,507 MS patients with a self-reported depression screening (PHQ-9) score using a multiple indicator multiple cause modeling approach. Our models showed significant differential item functioning effects denoting significant overlap of depressive symptoms with all MS symptoms under study and good model fit. The magnitude of the overlap was especially large for fatigue. Adjusted depression screening scales were formed based on factor scores and loadings that will allow clinicians to understand the depressive symptoms separate from other symptoms for MS patients for improved patient care. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Behavioral Medicine is the property of Springer Nature 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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        Value: 10.1007/s10865-014-9574-5
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        Text: English
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        PageCount: 14
        StartPage: 237
    Subjects:
      – SubjectFull: Diagnosis of mental depression
        Type: general
      – SubjectFull: Mental health
        Type: general
      – SubjectFull: Medical screening
        Type: general
      – SubjectFull: Chi-squared test
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      – SubjectFull: Factor analysis
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      – SubjectFull: Fatigue (Physiology)
        Type: general
      – SubjectFull: Multiple sclerosis
        Type: general
      – SubjectFull: Questionnaires
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      – SubjectFull: Research funding
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      – SubjectFull: Statistics
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      – SubjectFull: T-test (Statistics)
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      – SubjectFull: Data analysis
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      – SubjectFull: Structural equation modeling
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      – SubjectFull: Patient-centered care
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      – SubjectFull: Statistical models
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      – SubjectFull: Descriptive statistics
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      – SubjectFull: Symptoms
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      – TitleFull: Disentangling Multiple Sclerosis and depression: an adjusted depression screening score for patient-centered care.
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              Text: Apr2015
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              Y: 2015
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