Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Seeing the unseen: uncovering health-related social needs through universal screening at an academic ophthalmology practice

Abstract

Background

Health-related social needs (HRSN), or unmet conditions that are important to maintain health (such as finances and transportation), contribute to vision health disparities. The purpose of this study is to identify the unmet HRSN of ophthalmology clinic patients.

Methods

This retrospective, cross-sectional study examined HRSN survey results from adult patients who checked in for a clinic visit at a tertiary academic eye centre from April 28, 2022, to March 31, 2023. Demographics and visual acuity were extracted from the electronic health record, and their reported HRSNs were evaluated using binary logistic regression.

Results

Of 1413 patients who completed the survey, 194 (13.7%) screened positive for at least one HRSN. The most frequently reported need was food insecurity (99/1303, 7.6%), followed by transportation (68/1340, 5.1%), housing instability (63/1305, 4.8%), financial insecurity (46/1293, 3.6%), and homelessness (10/1330, 0.8%). Patients with at least one reported HRSN were more likely to be Black compared to White (OR 4.03, 95% CI: 2.71–5.96), female compared to male (OR 1.88, 95% CI: 1.34–2.62), and younger than 65 years of age compared to 65 to 75 years (OR 2.35, 95% CI: 1.68–3.37) or older than 75 years (OR 4.62, 95% CI: 2.54–8.16). Presence of at least one HRSN was associated with visual impairment, with greater odds of best-corrected visual acuity worse than 20/40 in the group with HRSN compared to without HRSN (OR 1.55, 95% CI: 1.09–2.19).

Conclusion

Integrating a screening questionnaire in ophthalmology clinics can uncover unaddressed HRSN, enabling resource allocation to mitigate vision health disparities.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Proportion of patients with visual acuity better and worse than 20/40 vs. social need screening status (n = 1142).

Similar content being viewed by others

Data availability

The datasets used and analysed during the current study are available from the corresponding author upon reasonable request.

Notes

  1. Consistent with most Likert-scale based questions, there was not a free-text option to capture patient-specific subjective interpretations of Likert scale options (e.g., “sometimes true” for food insecurity is subject to each participant’s individual interpretation). To account for this limitation, we also conducted a sensitivity analysis in which food insecurity was defined more strictly by the top-box selection of “often true” (rather than “often true” or “sometimes true”). The conclusions regarding associations between demographic characteristics and food insecurity were not substantially different when only the “often true” responses were considered a positive screen (n = 79 for “often true” compared to n = 99 for “often true” or “sometimes true”).

References

  1. Elam AR, Tseng VL, Rodriguez TM, Mike EV, Warren AK, Coleman AL. American Academy of Ophthalmology Taskforce on Disparities in Eye Care. Disparities in vision health and eye care. Ophthalmology. 2022;129:e89–e113.

    Article  PubMed  Google Scholar 

  2. Williams AM, Sahel JA. Addressing social determinants of vision health. Ophthalmol Ther. 2022;11:1371–82.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Social Determinants of Health - Healthy People. 2030 | Health.gov. https://health.gov/healthypeople/priority-areas/social-determinants-health. Accessed 10 January 2024.

  4. Solomon SD, Shoge RY, Ervin AM, Contreras M, Harewood J, Aguwa UT, et al. Improving access to eye care: a systematic review of the literature. Ophthalmology. 2022;129:e114–e126.

    Article  PubMed  Google Scholar 

  5. Green K, Zook M. When talking about social determinants, precision matters. Health Affairs Forefront. https://doi.org/10.1377/forefront.20191025.776011. Accessed 10 January 2024.

  6. Kolli A, Mozaffarian RS, Kenney EL. Food insecurity and vision impairment among adults age 50 and older in the United States. Am J Ophthalmol. 2022;236:69–78.

    Article  PubMed  Google Scholar 

  7. Besagar S, Yonekawa Y, Sridhar J, Finn A, Padovani-Claudio DA, Sternberg P Jr, et al. Association of socioeconomic, demographic, and health care access disparities with severe visual impairment in the US. JAMA Ophthalmol. 2022;140:1219–26.

    Article  PubMed  Google Scholar 

  8. Johnson-Griggs MA, Hicks PM, Lu MC, Sherman E, Niziol LM, Elam AR, et al. Relationship between unstable housing, food insecurity, and vision status in the MI-SIGHT community eye disease screening program. Ophthalmology. 2024;131:140–9.

    Article  PubMed  Google Scholar 

  9. Kim AB, Cheng BT, Tanna AP. Delayed medical care due to lack of transportation among US adults with glaucoma. Ophthalmol Glaucoma. 2023;6:439–41.

    Article  PubMed  Google Scholar 

  10. Elam AR, Nwanyanwu KH, Scott AW. Elevating social determinants of health and community engagement in eye care-the time is now. JAMA Ophthalmol. 2022;140:453–4.

    Article  PubMed  Google Scholar 

  11. Zarnegar A, Cassidy J, Stone A, McGinnis-Thomas D, Wasser LM, Sahel JA, et al. Effect of a patient navigator program to address barriers to eye care at an academic ophthalmology practice. J Acad Ophthalmol. 2023;15:e106–e111.

    Article  Google Scholar 

  12. Buitron de la Vega P, Losi S, Sprague Martinez L, Bovell-Ammon A, Garg A, James T, et al. Implementing an EHR-based screening and referral system to address social determinants of health in primary care. Med Care. 2019;57:S133–9.

    Article  PubMed  Google Scholar 

  13. Loo S, Anderson E, Lin JG, Smith P, Murray GF, Hong H, et al. Evaluating a social risk screening and referral program in an urban safety-net hospital emergency department. J Am Coll Emerg Physicians Open. 2023;4:e12883.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Rogers AJ, Hamity C, Sharp AL, Jackson AH, Schickedanz AB. Patients’ attitudes and perceptions regarding social needs screening and navigation: multi-site survey in a large integrated health system. J Gen Intern Med. 2020;35:1389–95.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Albert SM, McCracken P, Bui T, Hanmer J, Fischer GS, Hariharan J, et al. Do patients want clinicians to ask about social needs and include this information in their medical record? BMC Health Serv Res. 2022;22:1275.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Nelson CC. Using a social determinants of health summary measure to predict general health status in the BRFSS. Am J Health Promot. 2022;36:301–4.

    Article  PubMed  Google Scholar 

  17. Visweswaran S, McLay B, Cappella N, Morris M, Milnes JT, Reis SE, et al. An atomic approach to the design and implementation of a research data warehouse. J Am Med Inform Assoc. 2022;29:601–8.

    Article  PubMed  Google Scholar 

  18. Adepoju OE, Liaw W, Patel NC, Rastegar J, Ruble M, Franklin S, et al. Assessment of unmet health-related social needs among patients with mental illness enrolled in Medicare Advantage. JAMA Netw Open. 2022;5:e2239855.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Goyal A, Richards C, Patel V, Syeda S, Guest JM, Freedman RL, et al. The Vision Detroit Project: visual burden, barriers, and access to eye care in an urban setting. Ophthalmic Epidemiol. 2022;29:13–24.

    Article  PubMed  Google Scholar 

  20. Scanzera AC, Kravets S, Hallak JA, Musick H, Krishnan JA, Chan RVP, et al. Evaluating the relationship between neighborhood-level social vulnerability and patient adherence to ophthalmology appointments. Ophthalmic Epidemiol. 2024;31:11–20.

    Article  PubMed  Google Scholar 

  21. Chaudhury AS, Ige M, Marwah S, Zhou X, Andrews CA, Kanwar K, et al. Race, social determinants of health, and the quality of diabetic eye care. JAMA Ophthalmol. 2024;142:961–70.

    Article  PubMed  Google Scholar 

  22. Chan AX, Radha Saseendrakumar B, Ozzello DJ, Ting M, Yoon JS, Liu CY, et al. Social determinants associated with loss of an eye in the United States using the All of Us nationwide database. Orbit 2022;41:739–44.

    Article  PubMed  Google Scholar 

  23. Halawa OA, Kolli A, Oh G, Mitchell WG, Glynn RJ, Kim DH, et al. Racial and socioeconomic differences in eye care utilization among Medicare beneficiaries with glaucoma. Ophthalmology. 2022;129:397–405.

    Article  PubMed  Google Scholar 

  24. Muñoz B, West SK, Rubin GS, Schein OD, Quigley HA, Bressler SB, et al. Causes of blindness and visual impairment in a population of older Americans: The Salisbury Eye Evaluation Study. Arch Ophthalmol. 2000;118:819–25.

    Article  PubMed  Google Scholar 

  25. Wolfe MK, McDonald NC, Holmes GM. Transportation barriers to health care in the United States: findings from the National Health Interview Survey, 1997-2017. Am J Public Health. 2020;110:815–22.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Myers AM, Painter MA. Food insecurity in the United States of America: an examination of race/ethnicity and nativity. Food Secur. 2017;9:1419–32.

    Article  Google Scholar 

  27. Madden JM, Bayapureddy S, Briesacher BA, Zhang F, Ross-Degnan D, Soumerai SB, et al. Affordability of medical care among Medicare enrollees. JAMA Health Forum. 2021;2:e214104.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Zetterberg M. Age-related eye disease and gender. Maturitas 2016;83:19–26.

    Article  PubMed  Google Scholar 

  29. Anjum KM, Qureshi MB, Khan MA, Jan N, Ali A, Ahmad K, et al. Cataract blindness and visual outcome of cataract surgery in a tribal area in Pakistan. Br J Ophthalmol. 2006;90:135–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Kumar P, Brinson J, Wang J, Samuel L, Swenor BK, Scott AW, et al. Self-reported vision impairment and food insecurity in the US: National Health Interview Survey, 2011-2018. Ophthalmic Epidemiol. 2023;30:468–76.

    Article  PubMed  Google Scholar 

  31. Jung NM, de Bairros FS, Pattussi MP, Pauli S, Neutzling MB. Gender differences in the prevalence of household food insecurity: a systematic review and meta-analysis. Public Health Nutr. 2017;20:902–16.

    Article  PubMed  Google Scholar 

  32. Atta S, Zaheer HA, Clinger O, Liu PJ, Waxman EL, McGinnis-Thomas D, et al. Characteristics associated with barriers to eye care: a cross-sectional survey at a free vision screening event. Ophthalmic Res. 2023;66:170–8.

    Article  CAS  PubMed  Google Scholar 

  33. Hom GL, Cwalina TB, Jella TK, Singh RP. Assessing financial insecurity among common eye conditions: a 2016-2017 National Health Survey study. Eye. 2022;36:2044–51.

    Article  PubMed  Google Scholar 

  34. Pera MF, Cain MM, Emerick A, Katz S, Hirsch NA, Sherman BW, et al. Social determinants of health challenges are prevalent among commercially insured populations. J Prim Care Community Health. 2021;12:21501327211025162.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Funk IT, Strelow BA, Klifto MR, Knight OJ, Van Buren E, Lin FC, et al. The relationship of travel distance to postoperative follow-up care on glaucoma surgery outcomes. J Glaucoma. 2020;29:1056–64.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Lee DJ, Kumar N, Feuer WJ, Chou CF, Rosa PR, Schiffman JC, et al. Dilated eye examination screening guideline compliance among patients with diabetes without a diabetic retinopathy diagnosis: the role of geographic access. BMJ Open Diabetes Res Care. 2014;2:e000031.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Leiby BE, Hegarty SE, Zhan T, Myers JS, Katz LJ, Haller JA, et al. A randomized trial to improve adherence to follow-up eye examinations among people with glaucoma. Prev Chronic Dis. 2021;18:E52.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Clarke P, Khan AM, Kamdar N, Seiler K, Latham-Mintus K, Peterson MD, et al. Risk of type 2 diabetes mellitus among adults aging with vision impairment: the role of the neighborhood environment. Disabil Health J 2023;16:101371.

    Article  PubMed  Google Scholar 

  39. Lam PY, Chow SC, Lai JSM, Choy BNK. A review on the use of telemedicine in glaucoma and possible roles in COVID-19 outbreak. Surv Ophthalmol. 2021;66:999–1008.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Claessens JLJ, Geuvers JR, Imhof SM, Wisse RPL. Digital tools for the self-assessment of visual acuity: a systematic review. Ophthalmol Ther. 2021;10:715–30.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Wasser LM, Bear TM, Sommers M, Cassidy J, Muir KW, Williams AM. Barriers to care among glaucoma patients with a missed appointment and interest in a navigator program. J Glaucoma. 2024;33:297–302.

    Article  PubMed  Google Scholar 

  42. Groves RM, Peytcheva E. The impact of nonresponse rates on nonresponse bias: a meta-analysis. Public Opin Q. 2008;72:167–89.

    Article  Google Scholar 

Download references

Funding

This work was supported by the National Institutes of Health (NIH) through Grant UL1 TR001857, NIH CORE Grant P30 EY08098, the Henry L. Hillman Foundation, the Eye and Ear Foundation of Pittsburgh, and by an unrestricted grant from Research to Prevent Blindness to the Department of Ophthalmology at the University of Pittsburgh. The funding organizations had no role in the design or conduct of this research.

Author information

Authors and Affiliations

Authors

Contributions

All authors attest that they meet the current ICMJE criteria for Authorship. NM wrote the original draft of the manuscript; JC, LMW, and PJL collected and analysed data; AMW provided supervision and edited the manuscript.

Corresponding author

Correspondence to Andrew M. Williams.

Ethics declarations

Competing interests

AMW receives funding from the National Science Foundation, Research to Prevent Blindness, the Chandler-Grant Glaucoma Society, and the American Glaucoma Society. No other contributing authors have competing interests.

Ethics approval

This study was deemed exempt from review by University of Pittsburgh Institutional Review Board. Additionally, this study adheres to the ethical principles for human research established by the Helsinki Declaration and the Belmont Report.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mayer, N., Cassidy, J., Wasser, L.M. et al. Seeing the unseen: uncovering health-related social needs through universal screening at an academic ophthalmology practice. Eye 39, 1501–1507 (2025). https://doi.org/10.1038/s41433-025-03690-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41433-025-03690-9

Search

Quick links