Literature DB >> 19156007

Can clinicians use the PHQ-9 to assess depression in people with vision loss?

Ecosse L Lamoureux1, H Wen Tee, Konrad Pesudovs, Julie F Pallant, Jill E Keeffe, Gwen Rees.   

Abstract

PURPOSE: To investigate whether the Patient Health Questionnaire-9 (PHQ-9) possesses the essential psychometric characteristics to measure depressive symptoms in people with visual impairment.
METHODS: The PHQ-9 scale was completed by 103 participants with low vision. These data were then assessed for fit to the Rasch model.
RESULTS: The participants' mean +/- standard deviation (SD) age was 74.7 +/- 12.2 years. Almost one half of them (n = 46; 44.7%) were considered to have severe vision impairment (presenting visual acuity <6/60 in the better eye). Disordered thresholds were evident initially. Collapsing the two middle categories produced ordered thresholds and fit to the Rasch model (chi = 10.1; degrees of freedom = 9; p = 0.34). The mean (SD) items and persons Fit Residual values were -0.31 (1.12) and -0.25 (0.78), respectively, where optimal fit of data to the Rasch model would have a mean = 0 and SD = 1. Unidimensionality was demonstrated confirming the construct validity of the PHQ-9 and there was no evidence of differential item functioning on a number of factors including visual disability. The person separation reliability value was 0.80 indicating that the PHQ-9 has satisfactory precision. There was a degree of mistargeting as expected in this largely non-clinically depressed sample.
CONCLUSIONS: Our findings demonstrate that the PHQ-9, when scaled with Rasch analysis, forms a linear interval measurement of depressive symptoms suitable for use in a vision impaired population.

Entities:  

Mesh:

Year:  2009        PMID: 19156007     DOI: 10.1097/OPX.0b013e318194eb47

Source DB:  PubMed          Journal:  Optom Vis Sci        ISSN: 1040-5488            Impact factor:   1.973


  23 in total

1.  Cross-cultural validity of the Spanish version of PHQ-9 among pregnant Peruvian women: a Rasch item response theory analysis.

Authors:  Qiuyue Zhong; Bizu Gelaye; Jesse R Fann; Sixto E Sanchez; Michelle A Williams
Journal:  J Affect Disord       Date:  2014-02-10       Impact factor: 4.839

2.  Are we accurately evaluating depression in patients with cancer?

Authors:  Rebecca M Saracino; Ezgi Aytürk; Heining Cham; Barry Rosenfeld; Leah M Feuerstahler; Christian J Nelson
Journal:  Psychol Assess       Date:  2019-08-08

3.  A multigroup confirmatory factor analysis of the Patient Health Questionnaire-9 among English- and Spanish-speaking Latinas.

Authors:  Erin L Merz; Vanessa L Malcarne; Scott C Roesch; Natasha Riley; Georgia Robins Sadler
Journal:  Cultur Divers Ethnic Minor Psychol       Date:  2011-07

4.  Measuring depression levels in HIV-infected patients as part of routine clinical care using the nine-item Patient Health Questionnaire (PHQ-9).

Authors:  P K Crane; L E Gibbons; J H Willig; M J Mugavero; S T Lawrence; J E Schumacher; M S Saag; M M Kitahata; H M Crane
Journal:  AIDS Care       Date:  2010-07

5.  Association between depression and functional vision loss in persons 20 years of age or older in the United States, NHANES 2005-2008.

Authors:  Xinzhi Zhang; Kai McKeever Bullard; Mary Frances Cotch; M Roy Wilson; Barry W Rovner; Gerald McGwin; Cynthia Owsley; Lawrence Barker; John E Crews; Jinan B Saaddine
Journal:  JAMA Ophthalmol       Date:  2013-05       Impact factor: 7.389

6.  Low vision depression prevention trial in age-related macular degeneration: a randomized clinical trial.

Authors:  Barry W Rovner; Robin J Casten; Mark T Hegel; Robert W Massof; Benjamin E Leiby; Allen C Ho; William S Tasman
Journal:  Ophthalmology       Date:  2014-07-09       Impact factor: 12.079

7.  Tailored Screening for Late-Life Depression: A Short Version of the Teate Depression Inventory (TDI-E).

Authors:  Michela Balsamo; Aristide Saggino; Leonardo Carlucci
Journal:  Front Psychol       Date:  2019-12-05

8.  Late-life depression detection.

Authors:  Marianne Smith; Christine Haedtke; Deborah Shibley
Journal:  J Gerontol Nurs       Date:  2015-02       Impact factor: 1.254

9.  The Michigan Vision-Related Anxiety Questionnaire: A Psychosocial Outcomes Measure for Inherited Retinal Degenerations.

Authors:  Gabrielle D Lacy; Maria Fernanda Abalem; Chris A Andrews; Rebhi Abuzaitoun; Lilia T Popova; Erin P Santos; Gina Yu; Hanan Y Rakine; Natasha Baig; Joshua R Ehrlich; Abigail T Fahim; Kari H Branham; Bonnielin K Swenor; Paul R Lichter; Gislin Dagnelie; Joan A Stelmack; David C Musch; K Thiran Jayasundera
Journal:  Am J Ophthalmol       Date:  2020-12-09       Impact factor: 5.258

10.  Anxiety and depression in patients who receive anti-VEGF treatment and the usability and feasibility of e-mental health support: the E-PsEYE pilot study.

Authors:  Hilde Pa van der Aa; Ger Hmb van Rens; Frank D Verbraak; Machteld Bosscha; Hannie C Comijs; Ruth Ma van Nispen
Journal:  Ophthalmic Physiol Opt       Date:  2021-05-29       Impact factor: 3.117

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.