Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

medicine

Psychosocial Well-Being and Quality of Life in Uveitis: A Review

Ocular Immunology and Inflammation, Year 2023

Purpose: As a potentially sight-threatening disease with ocular, systemic, and treatment-related complications, uveitis diminishes quality of life (QOL) and affects psychosocial well-being. This review summarizes the existing tools for evaluating psychosocial well-being and/or QOL in patients with uveitis, explores the biological and non-biological factors affecting psychosocial well-being and/or QOL, and proposes future directions for incorporating these tools into clinical practice. Methods: A systematic search of the MEDLINE, Embase, and Cochrane databases from inception to June 8, 2022 was conducted, screening for articles focused on psychosocial well-being and/or QOL in patients with uveitis. Both quantitative and qualitative analyses were performed. Results: In uveitis research, the most frequently studied patient-reported outcome measures were vision-related QOL (e.g. Visual Function Questionnaire [VFQ-25]) and health-related QOL (e.g. Short Form Survey [SF-36]), followed by mental health indicators including depression and anxiety. Instruments have also been developed specific to the pediatric population (e.g. Effects of Youngsters’ Eyesight on Quality of Life [EYE-Q]). Generally, studies report worse psychosocial outcomes and QOL in patients with uveitis compared to the general population. Contributory factors include both clinical (e.g. visual impairment, ocular comorbidities) and patient-related (e.g. older age, female sex) factors. Conclusion: Given the heterogeneity of instruments used, it is worth considering standardization across large uveitis studies and trials. Beyond research, given the biopsychosocial effects on patients with uveitis, there are benefits to incorporating QOL and psychosocial assessments into clinical practice. Simplification of questionnaires into abridged forms, focusing on the most clinically relevant aspects of patient care, may be considered.

Statistics
Citations: 11
Authors: 11
Affiliations: 11
Identifiers
Research Areas
Disability
Genetics And Genomics
Health System And Policy
Mental Health
Study Design
Cross Sectional Study
Study Approach
Qualitative
Quantitative
Participants Gender
Female