Social Determinants of Dry Eye in the United States: A Systematic Review.

Am J Ophthalmol

Department of Ophthalmology, School of Medicine (S.H.L., L.L., K.A., P.M., R.Q., T.L.), University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA; Department of Epidemiology (S.H.L., D.S., A.G.A., R.Q., T.L.), Colorado School of Public Health, Aurora, Colorado, USA. Electronic address: t

Published: May 2024


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Article Abstract

Purpose: To conduct a systematic review to summarize current evidence on associations between social determinants of health (SDOH) indicators and dry eye in the United States.

Design: Systematic review.

Methods: We followed a protocol registered on Open Science Framework to include studies that examined associations between SDOH indicators and dry eye. We mapped SDOH indicators to 1 of the 5 domains following the Healthy People 2030 framework and categorized dry eye measures into "dry eye diagnosis and care," "dry eye symptoms," or "ocular surface parameters." We summarized the direction of association between SDOH indicators and dry eye as worsening, beneficial, or null. We used items from the Newcastle Ottawa Scale to assess risk of bias.

Results: Eighteen studies reporting 51 SDOH indicators, mostly mapped to the neighborhood and built environment domain, were included. Thirteen studies were judged at high risk of bias. Fifteen of 19 (79%) associations revealed an increase in the diagnosis of dry eye or delayed specialty care for it. Thirty-four of 56 (61%) associations unveiled exacerbated dry eye symptoms. Fifteen of 23 (65%) found null associations with corneal fluorescein staining. Ten of 22 (45%) associations revealed an increased tear break up time (45%) whereas another 10 (45%) showed null associations.

Conclusions: Most SDOH indicators studied were associated with unfavorable dry eye measures, such as a higher disease burden, worse symptoms, or delayed referral, in the United States. Future investigations between SDOH and dry eye should use standardized instruments and address the domains in which there is an evidence gap.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11031303PMC
http://dx.doi.org/10.1016/j.ajo.2024.01.015DOI Listing

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