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mood phq 9  (STATA Corporation)


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    STATA Corporation mood phq 9
    Study and cluster characteristics
    Mood Phq 9, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 33175 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mood+phq+9/pmc07186157-18-19-27?v=STATA+Corporation
    Average 99 stars, based on 33175 article reviews
    mood phq 9 - by Bioz Stars, 2026-07
    99/100 stars

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    1) Product Images from "A systematic review of illness representation clusters in chronic conditions"

    Article Title: A systematic review of illness representation clusters in chronic conditions

    Journal: Research in nursing & health

    doi: 10.1002/nur.22013

    Study and cluster characteristics
    Figure Legend Snippet: Study and cluster characteristics

    Techniques Used: Standard Deviation, Functional Assay, Software, Activity Assay



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    mood phq 9  (STATA Corporation)
    99
    STATA Corporation mood phq 9
    Study and cluster characteristics
    Mood Phq 9, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mood+phq+9/pmc07186157-18-19-27?v=STATA+Corporation
    Average 99 stars, based on 1 article reviews
    mood phq 9 - by Bioz Stars, 2026-07
    99/100 stars
    		  Buy from Supplier

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    Study and cluster characteristics

    Journal: Research in nursing & health

    Article Title: A systematic review of illness representation clusters in chronic conditions

    doi: 10.1002/nur.22013

    Figure Lengend Snippet: Study and cluster characteristics

    Article Snippet: Aujla et al. (2018) , Post-stroke; United Kingdom; n = 44; age 66.9 (±14.5); 32% female , Disability (NEADL), mood (PHQ-9), quality of life (EQ-5D-5L) [longitudinal] , STATA version 13.0 Cluster analysis Hierarchical agglomerative cluster analysis (Ward’s method) Partitioned into clusters using ((-medians , Three clusters Low adjusters (30%) a Moderate adjusters (25%) High adjusters (45%) a , High adjusters were older, more educated, and more likely to have a previous stroke Low adjusters were more likely to have had a severe stroke, and worse quality of life, mood, and disability during stroke recovery , Strengths: longitudinal design, performed a priori power calculations, reliability and validity of variables reported Quality rating: 8.13 (high).

    Techniques: Standard Deviation, Functional Assay, Software, Activity Assay