June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Improving detection of depression in adults with vision impairment
Author Affiliations & Notes
  • Edine van Munster
    Ophthalmology, Amsterdam UMC Locatie VUmc, Amsterdam, Noord-Holland, Netherlands
    Expertise, Innovation and Knowledge, Robert Coppes Foundation, Vught, Netherlands
  • Claire Nollett
    Cardiff University, Cardiff, Cardiff, United Kingdom
  • Edith Holloway
    The Australian Centre for Behavioural Research in Diabetes, Victoria, Australia
  • Ruth M A van Nispen
    Ophthalmology, Amsterdam UMC Locatie VUmc, Amsterdam, Noord-Holland, Netherlands
  • Otto Maarsingh
    Department of General Practice & Elderly Care Medicine, Amsterdam UMC Locatie VUmc, Amsterdam, Noord-Holland, Netherlands
  • Martijn Heymans
    Epidemiology and Data Science, Amsterdam UMC Locatie VUmc, Amsterdam, Noord-Holland, Netherlands
  • Hilde Petronella Adriana van der Aa
    Ophthalmology, Amsterdam UMC Locatie VUmc, Amsterdam, Noord-Holland, Netherlands
    Expertise, Innovation and Knowledge, Robert Coppes Foundation, Vught, Netherlands
  • Footnotes
    Commercial Relationships   Edine van Munster None; Claire Nollett None; Edith Holloway None; Ruth van Nispen None; Otto Maarsingh None; Martijn Heymans None; Hilde van der Aa None
  • Footnotes
    Support  ZonMw 637005103
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 2657. doi:
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      Edine van Munster, Claire Nollett, Edith Holloway, Ruth M A van Nispen, Otto Maarsingh, Martijn Heymans, Hilde Petronella Adriana van der Aa; Improving detection of depression in adults with vision impairment. Invest. Ophthalmol. Vis. Sci. 2022;63(7):2657.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : One in three adults with vision impairment (VI) experience symptoms of depression. However, healthcare providers often experience difficulties in recognizing and discussing depression in this population. Detection of depression, and subsequently providing mental health support, can be improved by determining predictors to detect depression in adults with VI from the perspective of healthcare providers.

Methods : Cross-sectional data on demographics, work, confidence, experienced barriers, intention to identify depression and taking initiative to discuss depression was analyzed in Welsh (n=122), Australian (n=94) and Dutch (n=100) healthcare providers. Multivariable logistic regression analysis was performed in the Welsh sample. The derived model was internally validated by using a bootstrap method, followed by external validation of the recalibrated model in the Australian and Dutch samples.

Results : Work experience (β -0.05; 95% confidence interval (CI) 0.92 to 0.99) and experienced barriers (β -0.05; 95% CI 0.92 to 0.98), such as lack of time, knowledge and standard procedures, were found to predict healthcare providers’ initiative to discuss depression. Internal validation of the model provided an area under the curve (AUC) of 0.73, reflecting good discrimination. The recalibrated model showed a good fit in the Australian sample (AUC = 0.77) and a poor fit in the Dutch sample (AUC = 0.63).

Conclusions : Predictors for discussing depression by healthcare providers lacked generalizability. Dutch healthcare providers experienced less barriers in depression management than their Welsh and Australian colleagues, which could be a result of the increased attention for mental health in their education and work, and the difference in healthcare systems. Furthermore, a previous study showed intention to discuss depression, self-efficacy and social support predict healthcare providers’ initiative to discuss depression. To improve the detection of depression in adults with VI, the found predictors for each country should be addressed, for instance by means of tailored training programs and effective referral pathways.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

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