Disparities in Eye Care Access and Utilization: A Narrative Review

Literature Cited

1. Anderson RM, Much DC, Nwankwo RB, Wolf FM, Gillard ML et al. 2003. Personalized follow-up increases return rate at urban eye disease screening clinics for African Americans with diabetes: results of a randomized trial. Ethn. Dis. 13:140–46
   [Google Scholar]
2. Andoh J, Mir TA, Teng C, Wang EA, Nwanyanwu KH. 2021. Assessment of vision impairment among individuals with history of criminal justice involvement. Investig. Ophthalmol. Vis. Sci. 62:83493
   [Google Scholar]
3. Andoh J, Norcott A, Fairless E, Nwanyanwu KH. 2022. Participatory evaluation of framework outlining barriers to and facilitators of diabetic retinopathy screening utilization in a high-risk population. Investig. Ophthalmol. Vis. Sci. 63:592A0157
   [Google Scholar]
4. Angermann R, Rauchegger T, Nowosielski Y, Casazza M, Bilgeri A et al. 2019. Treatment compliance and adherence among patients with diabetic retinopathy and age-related macular degeneration treated by anti-vascular endothelial growth factor under universal health coverage. Graefe's Arch. Clin. Exp. Ophthalmol. 257:102119–25
   [Google Scholar]
5. Atta S, Zaheer HA, Clinger O, Liu PJ, Waxman EL et al. 2023. Characteristics associated with barriers to eye care: A cross-sectional survey at a free vision screening event. Ophthalmic Res. 66:170–78
   [Google Scholar]
6. Aziz K, Moon JY, Parikh R, Lorch AC, Friedman DS et al. 2021. Association of patient characteristics with delivery of ophthalmic telemedicine during the COVID-19 pandemic. JAMA Ophthalmol. 139:111174–82
   [Google Scholar]
7. Baker RS, Bazargan M, Bazargan-Hejazi S, Calderón JL. 2005. Access to vision care in an urban low-income multiethnic population. Ophthalmic Epidemiol. 12:11–12
   [Google Scholar]
8. Ballouz D, Cho J, Woodward MA, Elam AR, Much DC et al. 2021. Facilitators and barriers to glaucoma screening identified by key stakeholders in underserved communities: a community-engaged research approach. J. Glaucoma 30:5402–9
   [Google Scholar]
9. Basch CE, Walker EA, Howard CJ, Shamoon H, Zybert P. 1999. The effect of health education on the rate of ophthalmic examinations among African Americans with diabetes mellitus. Am. J. Public Health 89:121878–82
   [Google Scholar]
10. Benoit SR, Swenor B, Geiss LS, Gregg EW, Saaddine JB. 2019. Eye care utilization among insured people with diabetes in the U.S., 2010–2014. Diabetes Care 42:3427–33
    [Google Scholar]
11. Berkowitz ST, Growth SL, Gangaputra S, Patel S. 2021. Racial/ethnic disparities in ophthalmology clinical trials resulting in US Food and Drug Administration drug approvals from 2000 to 2020. JAMA Ophthalmol. 139:6629–37
    [Google Scholar]
12. Boland MV, Chang DS, Frazier T, Plyler R, Friedman DS. 2014. Electronic monitoring to assess adherence with once-daily glaucoma medications and risk factors for nonadherence: the automated dosing reminder study. JAMA Ophthalmol. 132:7838–44
    [Google Scholar]
13. Bowe T, Salabati M, Soares RR, Huang C, Singh RP et al. 2022. Racial, ethnic, and gender disparities in diabetic macular edema clinical trials. Ophthalmol. Retina 6:6531–33
    [Google Scholar]
14. Broman AT, Hafiz G, Muñoz B, Rodriguez J, Snyder R et al. 2005. Cataract and barriers to cataract surgery in a US Hispanic population: Proyecto VER. Arch. Ophthalmol. 123:91231–36
    [Google Scholar]
15. Buonaccorso KM. 1999. Diabetic retinopathy screening: a clinical quality improvement project. J. Healthc. Qual. 21:635–46
    [Google Scholar]
16. Capó H, Edmond JC, Alabiad CR, Ross AG, Williams BK, Briceño CA. 2022. The importance of health literacy in addressing eye health and eye care disparities. Ophthalmology 129:10E137–45
    [Google Scholar]
17. Chang A, Stokes J, Priestman L, Holmes C, Said P. 2021. Impact of a patient support program on patient beliefs about neovascular age-related macular degeneration and persistence to anti-vascular endothelial growth factor therapy. Patient Prefer. Adherence 15:511–21
    [Google Scholar]
18. Chen EM, Ahluwalia A, Parikh R, Nwanyanwu K. 2020a. Ophthalmic emergency department visits: factors associated with loss to follow-up. Am. J. Ophthalmol. 222:126–36
    [Google Scholar]
19. Chen EM, Andoh JE, Nwanyanwu K. 2022. Socioeconomic and demographic disparities in the use of telemedicine for ophthalmic care during the COVID-19 pandemic. Ophthalmology 129:115–25
    [Google Scholar]
20. Chen EM, Armstrong GW, Cox JT, Wu DM, Hoover DR et al. 2020b. Association of the Affordable Care Act Medicaid expansion with dilated eye examinations among the United States population with diabetes. Ophthalmology 127:7920–28
    [Google Scholar]
21. Chou C-F, Barker LE, Crews JE, Primo SA, Zhang X et al. 2012. Disparities in eye care utilization among the United States adults with visual impairment: findings from the behavioral risk factor surveillance system 2006–2009. Am. J. Ophthalmol. 154:6 SupplS45–52.e1
    [Google Scholar]
22. Chou C-F, Sherrod CE, Zhang X, Barker LE, Buillard KM et al. 2014. Barriers to eye care among people aged 40 years and older with diagnosed diabetes, 2006–2010. Diabetes Care 37:1180–88
    [Google Scholar]
23. Chung YG, Person CM, O'Banion J, Primo SA. 2022. Coronavirus disease 2019–related health disparities in ophthalmology with a retrospective analysis at a large academic public hospital. Adv. Ophthalmol. Optom. 7:1311–23
    [Google Scholar]
24. Dawoud SA, Cohen AR, Renner LM, Clark TJ, Zimmerman MB, Shriver EM. 2021. Detection and referral of orbital and ocular injuries associated with intimate partner violence following an educational and screening initiative in an emergency department. JAMA Ophthalmol. 139:7785–89
    [Google Scholar]
25. Djafari F, Lesk MR, Harasymowycz PJ, Desjardins D, Lachaine J. 2009. Determinants of adherence to glaucoma medical therapy in a long-term patient population. J. Glaucoma 18:3238–43
    [Google Scholar]
26. Dreer LE, Girkin CA, Campbell L, Wood A, Gao L, Owsley C. 2013. Glaucoma medication adherence among African Americans: program development. Optom. Vis. Sci. 90:8883–97
    [Google Scholar]
27. Dreer LE, Girkin C, Mansberger SL. 2012. Determinants of medication adherence to topical glaucoma therapy. J. Glaucoma 21:4234–40
    [Google Scholar]
28. Elam AR, Andrews C, Musch DC, Lee PP, Stein JD. 2017. Large disparities in receipt of glaucoma care between enrollees in Medicaid and those with commercial health insurance. Ophthalmology 124:101442–48
    [Google Scholar]
29. Elam AR, Blachley TS, Stein JD. 2016. Geographic variation in the use of diagnostic testing of patients with newly diagnosed open-angle glaucoma. Ophthalmology 123:3522–31
    [Google Scholar]
30. Elam AR, Lee PP. 2013. High-risk populations for vision loss and eye care underutilization: a review of the literature and ideas on moving forward. Surv. Ophthalmol. 58:4348–58
    [Google Scholar]
31. Elam AR, Lee PP. 2014. Barriers to and suggestions on improving utilization of eye care in high-risk individuals: focus group results. Int. Sch. Res. Not. 2014:527831
    [Google Scholar]
32. Elam AR, Sidhom D, Ugoh P, Andrews CA, De Lott LB et al. 2022a. Disparities in eye care utilization during the COVID-19 pandemic. Am. J. Ophthalmol. 233:163–70
    [Google Scholar]
33. Elam AR, Tseng VL, Rodriguez TM, Mike EV, Warren AK et al. 2022b. Disparities in vision health and eye care. Ophthalmology 129:10e89–113
    [Google Scholar]
34. Ellish NJ, Royak-Schaler R, Higginbotham EJ. 2011. Tailored and targeted interventions to encourage dilated fundus examinations in older African Americans. Arch. Ophthalmol. 129:121592–98
    [Google Scholar]
35. Ellish NJ, Royak-Schaler R, Passmore SR, Higginbotham EJ. 2007. Knowledge, attitudes, and beliefs about dilated eye examinations among African-Americans. Investig. Ophthalmol. Vis. Sci. 48:51989–94
    [Google Scholar]
36. Ezekwesili AC, Ionin R, Huryn L, Cukras CA, Blain D et al. 2022. Seeing in color: inclusion and characterization of African Americans in hereditary eye disease research. Investig. Ophthalmol. Vis. Sci. 63:501A0078
    [Google Scholar]
37. Fairless E, Nwanyanwu K. 2019. Barriers to and facilitators of diabetic retinopathy screening utilization in a high-risk population. J. Racial Ethn. Health Disparities 6:61244–49
    [Google Scholar]
38. Fairless EA, Nwanyanwu KH, Forster SH, Teng CC. 2021. Ophthalmology departments remain among the least diverse clinical departments at United States medical schools. Ophthalmology 128:81129–34
    [Google Scholar]
39. Fathy C, Patel S, Sternberg P Jr., Kohanim S. 2016. Disparities in adherence to screening guidelines for diabetic retinopathy in the United States: a comprehensive review and guide for future directions. Semin. Ophthalmol. 31:4364–77
    [Google Scholar]
40. Flowers B, Wand M, Piltz-Seymour J, Berke ST, Day D et al. 2006. Patients’ and physicians’ perceptions of the travoprost dosing aid: an open-label, multicenter study of adherence with prostaglandin analogue therapy for open-angle glaucoma or ocular hypertension. Clin. Ther. 28:111803–11
    [Google Scholar]
41. Frazier M, Garces I, Scarinci I, Marsh-Tootle W. 2009. Seeking eye care for children: perceptions among Hispanic immigrant parents. J. Immigr. Minor. Health 11:3215–21
    [Google Scholar]
42. Friedman DS, Hahn SR, Gelb L, Tan J, Shah SN et al. 2008. Doctor-patient communication, health-related beliefs, and adherence in glaucoma: results from the glaucoma adherence and persistency study. Ophthalmology 115:81320–27.e3
    [Google Scholar]
43. Friedman DS, Jampel HD, Congdon NG, Miller R, Quigley HA. 2007. The TRAVATAN dosing aid accurately records when drops are taken. Am. J. Ophthalmol. 143:4699–701
    [Google Scholar]
44. Friedman DS, Muñoz B, Roche KB, Massof R, Broman A, West SK. 2005. Poor uptake of cataract surgery in nursing home residents: the Salisbury Eye Evaluation in Nursing Home Groups study. Arch. Ophthalmol. 123:111581–87
    [Google Scholar]
45. Friedman DS, Okeke CO, Jampel HD, Ying G, Plyler RJ et al. 2009. Risk factors for poor adherence to eyedrops in electronically monitored patients with glaucoma. Ophthalmology 116:61097–105
    [Google Scholar]
46. Fudemberg SJ, Lee B, Waisbourd M, Murphy R, Dai Y et al. 2016. Factors contributing to nonadherence to follow-up appointments in a resident glaucoma clinic versus primary eye care clinic. Patient Prefer. Adherence 10:119–25
    [Google Scholar]
47. Funk IT, Strelow BA, Klifto MR, Knight OJ, Van Buren E et al. 2020. The relationship of travel distance to postoperative follow-up care on glaucoma surgery outcomes. J. Glaucoma 29:111056–64
    [Google Scholar]
48. Gange WS, Xu BY, Lung K, Toy BC, Seabury SA. 2021. Rates of eye care and diabetic eye disease among insured patients with newly diagnosed type 2 diabetes. Ophthalmol. Retina 5:2160–68
    [Google Scholar]
49. Gao X, Obeid A, Aderman CM, Talcott KE, Ali FS et al. 2019. Loss to follow-up after intravitreal anti-vascular endothelial growth factor injections in patients with diabetic macular edema. Ophthalmol. Retina 3:3230–36
    [Google Scholar]
50. Gibson DM. 2018. Use of and disparities in access to adaptive devices among U.S. adults with age-related eye diseases. Prev. Med. Rep. 12:233–40
    [Google Scholar]
51. Glanz K, Beck AD, Bundy L, Primo S, Lynn MJ et al. 2012. Impact of a health communication intervention to improve glaucoma treatment adherence. Results of the interactive study to increase glaucoma adherence to treatment trial. Arch. Ophthalmol. 130:101252–58
    [Google Scholar]
52. Goyal A, Richards C, Patel V, Syeda S, Guest J-M et al. 2022. The Vision Detroit project: visual burden, barriers, and access to eye care in an urban setting. Ophthalmic Epidemiol. 29:113–24
    [Google Scholar]
53. Gray TA, Generty C, Harper R, Spencer AF, Campbell M et al. 2012. Individualised patient care as an adjunct to standard care for promoting adherence to ocular hypotensive therapy: an exploratory randomised controlled trial. Eye 26:3407–17
    [Google Scholar]
54. Greig EC, Gonzalez-Colaso R, Nwanyanwu K. 2022. Racial, ethnic, and socioeconomic disparities drive appointment no-show in patients with chronic eye disease. J. Racial Ethn. Health Disparities. In press
    [Google Scholar]
55. Gwira JA, Vistamehr S, Shelsta H, Bashford K, Forster S et al. 2006. Factors associated with failure to follow up after glaucoma screening: a study in an African American population. Ophthalmology 113:81315–19
    [Google Scholar]
56. Ha A, Jang M, Shim SR, Kim CY, Chang IB, Kim YK. 2022. Interventions for glaucoma medication adherence improvement. Ophthalmology 129:111294–304
    [Google Scholar]
57. Halawa OA, Kolli A, Oh G, Mitchell WC, Glynn RJ et al. 2022. Racial and socioeconomic differences in eye care utilization among Medicare beneficiaries with glaucoma. Ophthalmology 129:4397–405
    [Google Scholar]
58. Halbert RJ, Leung KM, Nichol JM, Legorreta AP. 1999. Effect of multiple patient reminders in improving diabetic retinopathy screening. A randomized trial. Diabetes Care 22:5752–55
    [Google Scholar]
59. Hark LA, Johnson D, Berardi G, Patel N, Zeng L et al. 2016. A randomized, controlled trial to test the effectiveness of a glaucoma patient navigator to improve appointment adherence. Patient Prefer. Adherence 10:1739–48
    [Google Scholar]
60. Hark LA, Leiby BE, Waisbourd M, Myers JS, Fudemberg SJ et al. 2017. Adherence to follow-up recommendations among individuals in the Philadelphia Glaucoma Detection and Treatment project. J. Glaucoma 26:8697–701
    [Google Scholar]
61. Hark LA, Myers JS, Ines A, Jiang A, Rahmatnejad K et al. 2019a. Philadelphia Telemedicine Glaucoma Detection and Follow-Up Study: confirmation between eye screening and comprehensive eye examination diagnoses. Br. J. Ophthalmol. 103:121820–26
    [Google Scholar]
62. Hark LA, Radakrishnan A, Madhava M, Anderson-Quiñones C, Fudemnberg S et al. 2019b. Awareness of ocular diagnosis, transportation means, and barriers to ophthalmology follow-up in the Philadelphia Telemedicine Glaucoma Detection and Follow-Up Study. Soc. Work Health Care 58:7651–64
    [Google Scholar]
63. Hark LA, Tan CS, Kresch YS, De Moraes CG, Horowitz JD et al. 2021. Manhattan Vision Screening and Follow-Up Study in vulnerable populations: 1-month feasibility results. Curr. Eye Res. 46:101597–604
    [Google Scholar]
64. Hartnett ME, Key IJ, Loyacano NM, Horswell RL, DeSalvo KB. 2005. Perceived barriers to diabetic eye care: qualitative study of patients and physicians. Arch. Ophthalmol. 123:3387–91
    [Google Scholar]
65. Hicks PM, Elam AR, Woodward MA, Newman-Casey P-A, Asare A et al. 2022. Perceptions of respect from clinicians by patients in racial and ethnic minority groups with eye disease. JAMA Ophthalmol. 140:2125–31
    [Google Scholar]
66. Hipwell A, Sturt J, Lindenmeyer A, Stratton I, Gadsby R et al. 2014. Attitudes, access and anguish: a qualitative interview study of staff and patients’ experiences of diabetic retinopathy screening. BMJ Open 4:12e005498
    [Google Scholar]
67. Holley CD, Lee PP. 2010. Primary care provider views of the current referral-to-eye-care process: focus group results. Investig. Ophthalmol. Vis. Sci. 51:41866–72
    [Google Scholar]
68. Hood CM, Gennuso KP, Swain GR, Catlin BB. 2016. County health rankings: relationships between determinant factors and health outcomes. Am. J. Prev. Med. 50:2129–35
    [Google Scholar]
69. Horný M, Glover W, Gupte G, Saraswat A, Vimalananda V, Rosenzweig J. 2017. Patient navigation to improve diabetes outpatient care at a safety-net hospital: a retrospective cohort study. BMC Health Serv. Res. 17:759
    [Google Scholar]
70. Hudson SM, Modjtahedi BS, Altman D, Jimenez JJ, Luong TQ, Fong DS. 2022. Factors affecting compliance with diabetic retinopathy screening: a qualitative study comparing English and Spanish speakers. Clin. Ophthalmol. 16:1009–18
    [Google Scholar]
71. Ibrahim H, Liu X, Zariffa N, Morris AD, Denniston AK. 2021. Health data poverty: an assailable barrier to equitable digital health care. Lancet Digit. Health 3:4e260–65
    [Google Scholar]
72. Javitt JC, Kendix M, Tielsch JM, Steinwachs DM, Schein OD et al. 1995. Geographic variation in utilization of cataract surgery. Med. Care 33:190–105
    [Google Scholar]
73. Karnik NS, Afshar M, Churpek MM, Nunez-Smith M. 2020. Structural disparities in data science: a prolegomenon for the future of machine learning. Am. J. Bioeth. 20:1135–37
    [Google Scholar]
74. Kauh CY, Blachley TS, Lichter PR, Lee PP, Stein JD. 2016. Geographic variation in the rate and timing of cataract surgery among US communities. JAMA Ophthalmol. 134:3267–76
    [Google Scholar]
75. Lacey J, Cate H, Broadway DC. 2009. Barriers to adherence with glaucoma medications: a qualitative research study. Eye 23:4924–32
    [Google Scholar]
76. Laster SF, Martin JL, Fleming JB. 1996. The effect of a medication alarm device on patient compliance with topical pilocarpine. J. Am. Optom. Assoc. 67:11654–58
    [Google Scholar]
77. LaVeist TA, Nuru-Jeter A. 2002. Is doctor-patient race concordance associated with greater satisfaction with care?. J. Health Soc. Behav. 43:3296–306
    [Google Scholar]
78. Lawrenson JG, Graham-Rowe E, Lorencatto F, Burr J, Bunce C et al. 2016. Interventions to increase attendance for diabetic retinopathy screening. Cochrane Database Syst. Rev. 1:1CD012054
    [Google Scholar]
79. Lawrenson JG, Graham-Rowe E, Lorencatto F, Rice S, Bunce C et al. 2018. What works to increase attendance for diabetic retinopathy screening? An evidence synthesis and economic analysis. Health Technol. Assess. 22:291–160
    [Google Scholar]
80. Lee BW, Murakami Y, Duncan MT, Kao AA, Huang J-Y et al. 2013. Patient-related and system-related barriers to glaucoma follow-up in a county hospital population. Investig. Opthalmol. Vis. Sci. 54:106542–48
    [Google Scholar]
81. Lee CS, Su GL, Baughman DM, Wu Y, Lee AY. 2017. Disparities in delivery of ophthalmic care; an exploration of public Medicare data. PLOS ONE 12:8e0182598
    [Google Scholar]
82. Lee DJ, Kumar N, Feuer WJ, Chou C-F, Rosa PR et al. 2014. 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 2:1e000031
    [Google Scholar]
83. Lee DJ, Lam BL, Arora S, Arheart KL, McCollister KE et al. 2009. Reported eye care utilization and health insurance status among US adults. Arch. Ophthalmol. 127:3303–10
    [Google Scholar]
84. Lee PP, Feldman ZW, Ostermann J, Brown DS, Sloan FA. 2003. Longitudinal rates of annual eye examinations of persons with diabetes and chronic eye diseases. Ophthalmology 110:101952–59
    [Google Scholar]
85. Leese GP, Boyle P, Feng Z, Emslie-Smith A, Ellis JD. 2008. Screening uptake in a well-established diabetic retinopathy screening program: the role of geographical access and deprivation. Diabetes Care 31:112131–35
    [Google Scholar]
86. Leiby BE, Hegarty SE, Zhan T, Myers JS, Katz LJ et al. 2021. A randomized trial to improve adherence to follow-up eye examinations among people with glaucoma. Prev. Chronic Dis. 18:200567
    [Google Scholar]
87. Li Y-J, Xirasagar S, Pumkam C, Krishnaswamy M, Bennett CL. 2013. Vision insurance, eye care visits, and vision impairment among working-age adults in the United States. JAMA Ophthalmol. 131:4499–506
    [Google Scholar]
88. Lipton BJ, Decker SL. 2015. The effect of health insurance coverage on medical care utilization and health outcomes: evidence from Medicaid adult vision benefits. J. Health Econ. 44:320–32
    [Google Scholar]
89. Liu C, Watts B, Litaker D. 2006. Access to and utilization of healthcare: the provider's role. Expert Rev. Pharmacoecon. Outcomes Res. 6:6653–60
    [Google Scholar]
90. Liu Y, Zupan NJ, Shiyanbola OO, Swearingen R, Carlson JN et al. 2018. Factors influencing patient adherence with diabetic eye screening in rural communities: a qualitative study. PLOS ONE 13:11e0206742
    [Google Scholar]
91. Liu Y, Zupan NJ, Swearingen R, Jacobson N, Carlson JN et al. 2019. Identification of barriers, facilitators and system-based implementation strategies to increase teleophthalmology use for diabetic eye screening in a rural US primary care clinic: a qualitative study. BMJ Open 9:2e022594
    [Google Scholar]
92. MacLennan PA, McGwin G Jr., Heckemeyer C, Lolley VR, Hullett S et al. 2014a. Eye care use among a high-risk diabetic population seen in a public hospital's clinics. JAMA Ophthalmol. 132:2162–67
    [Google Scholar]
93. MacLennan PA, McGwin G Jr., Searcey K, Owsley C. 2014b. A survey of Alabama eye care providers in 2010–2011. BMC Ophthalmol. 14:44
    [Google Scholar]
94. Mahr MA, Hodge DO, Erie JC. 2018. Racial/ethnic differences in rates of complex cataract surgery among United States Medicare beneficiaries. J. Cataract Refract. Surg. 44:2140–43
    [Google Scholar]
95. Malhotra NA, Greenlee TE, Iyer AI, Conti TF, Chen AX, Singh RP. 2021. Racial, ethnic, and insurance-based disparities upon initiation of anti-vascular endothelial growth factor therapy for diabetic macular edema in the US. Ophthalmology 128:101438–47
    [Google Scholar]
96. Mansberger SL, Sheppler C, Barker G, Gardiner SK, Demirel S et al. 2015. Long-term comparative effectiveness of telemedicine in providing diabetic retinopathy screening examinations: a randomized clinical trial. JAMA Ophthalmol. 133:5518–25
    [Google Scholar]
97. Marmot M. 2005. Social determinants of health inequalities. Lancet 365:94641099–104
    [Google Scholar]
98. McGwin G, Khoury R, Cross J, Owsley C. 2010. Vision impairment and eye care utilization among Americans 50 and older. Curr. Eye Res. 35:6451–58
    [Google Scholar]
99. Morales LS, Varma R, Paz SH, Lai MY, Mazhar K et al. 2010. Self-reported use of eye care among Latinos: the Los Angeles Latino Eye Study. Ophthalmology 117:2207–15.e1
    [Google Scholar]
100. Moss SE. 1995. Factors associated with having eye examinations in persons with diabetes. Arch. Fam. Med. 4:6529–34
     [Google Scholar]
101. Moustafa GA, Borkar DS, Eton EA, Koulisis N, Kloek CE. 2021. Healthcare disparities contribute to missed follow-up visits after cataract surgery in the USA: results from the perioperative care for intraocular lens study. BMJ Open 11:3e038565
     [Google Scholar]
102. Muir KW, Santiago-Turla C, Stinnett SS, Herndon LW, Allingham RR et al. 2006. Health literacy and adherence to glaucoma therapy. Am. J. Ophthalmol. 142:2223–26
     [Google Scholar]
103. Muir KW, Ventura A, Stinnett SS, Enfiedjian A, Allingham RR, Lee PP. 2012. The influence of health literacy level on an educational intervention to improve glaucoma medication adherence. Patient Educ. Couns. 87:2160–64
     [Google Scholar]
104. Muñoz B, O'Leary M, Fonseca-Becker F, Rosario E, Burguess I et al. 2008. Knowledge of diabetic eye disease and vision care guidelines among Hispanic individuals in Baltimore with and without diabetes. Arch. Ophthalmol. 126:7968–74
     [Google Scholar]
105. Murakami Y, Lee BW, Duncan M, Kao A, Huang J-Y et al. 2011. Racial and ethnic disparities in adherence to glaucoma follow-up visits in a county hospital population. Arch. Ophthalmol. 129:7872–78
     [Google Scholar]
106. Neitzel AJ, Wolf B, Guo X, Shakarchi AF, Madden NA et al. 2021. Effect of a randomized interventional school-based vision program on academic performance of students in grades 3 to 7: a cluster randomized clinical trial. JAMA Ophthalmol. 139:101104–14
     [Google Scholar]
107. Newman-Casey PA, Robin AL, Blachley T, Farris K, Heisler M et al. 2015. The most common barriers to glaucoma medication adherence. Ophthalmology 122:71308–16
     [Google Scholar]
108. Newman-Casey PA, Shtein RM, Coleman AL, Herndon L, Lee PP. 2016. Why patients with glaucoma lose vision: the patient perspective. J. Glaucoma 25:7e668–75
     [Google Scholar]
109. Ngan R, Lam DL, Mudumbai RC, Chen PP. 2007. Risk factors for noncompliance with follow-up among normal-tension glaucoma suspects. Am. J. Ophthalmol. 144:2310–11
     [Google Scholar]
110. Nsiah-Kumi P, Ortmeier SR, Brown AE. 2009. Disparities in diabetic retinopathy screening and disease for racial and ethnic minority populations—a literature review. J. Natl. Med. Assoc. 101:5430–38
     [Google Scholar]
111. Obeid A, Gao X, Ali FS, Aderman CM, Shahlaee A et al. 2018. Loss to follow-up among patients with neovascular age-related macular degeneration who received intravitreal anti-vascular endothelial growth factor injections. JAMA Ophthalmol. 136:111251–59
     [Google Scholar]
112. Okada M, Mitchell P, Finger RP, Eldem B, Talks SJ et al. 2021. Nonadherence or nonpersistence to intravitreal injection therapy for neovascular age-related macular degeneration: a mixed-methods systematic review. Ophthalmology 128:2234–47
     [Google Scholar]
113. Okeke CO, Quigley HA, Jampel HD, Ying G, Plyler RJ et al. 2009. Interventions improve poor adherence with once daily glaucoma medications in electronically monitored patients. Ophthalmology 116:122286–93
     [Google Scholar]
114. Orr P, Barrón Y, Schein OD, Rubin GS, West SK. 1999. Eye care utilization by older Americans: the SEE project. Ophthalmology 106:5904–9
     [Google Scholar]
115. Orton E, Forbes-Haley A, Tunbridge L, Cohen S. 2013. Equity of uptake of a diabetic retinopathy screening programme in a geographically and socio-economically diverse population. Public Health 127:9814–21
     [Google Scholar]
116. Owsley C, McGwin G, Scilley K, Girkin CA, Phillips JM, Searcey K. 2006. Perceived barriers to care and attitudes about vision and eye care: focus groups with older African Americans and eye care providers. Investig. Ophthalmol. Vis. Sci. 47:72797–802
     [Google Scholar]
117. Owsley C, Searcey K, Wuston J, Johnson A, Stalvey BT et al. 2013. Effect of an eye health education program on older African Americans’ eye care utilization and attitudes about eye care. J. Natl. Med. Assoc. 105:169–76
     [Google Scholar]
118. Parikh D, Armstrong G, Liou V, Husain D. 2020. Advances in telemedicine in ophthalmology. Semin. Ophthalmol. 35:4210–15
     [Google Scholar]
119. Paz SH, Varma R, Klein R, Wu J, Azen SP. 2006. Noncompliance with vision care guidelines in Latinos with type 2 diabetes mellitus: the Los Angeles Latino Eye Study. Ophthalmology 113:81372–77
     [Google Scholar]
120. Peavey JJ, D'Amico SL, Kim BY, Higgins ST, Friedman DS, Brady CJ 2020. Impact of socioeconomic disadvantage and diabetic retinopathy severity on poor ophthalmic follow-up in a rural Vermont and New York population. Clin. Ophthalmol. 14:2397–403
     [Google Scholar]
121. Piyasena MMPN, Murthy GVS, Yip JLY, Gilbert C, Zuurmond M et al. 2019. Systematic review on barriers and enablers for access to diabetic retinopathy screening services in different income settings. PLOS ONE 14:4e0198979
     [Google Scholar]
122. Puent BD, Klein BEK, Klein R, Cruickshanks KJ, Nondahl DM. 2005. Factors related to vision care in an older adult cohort. Optom. Vis. Sci. 82:7612–16
     [Google Scholar]
123. Puent BD, Nichols KK. 2004. Patients’ perspectives on noncompliance with diabetic retinopathy standard of care guidelines. Optometry 75:11709–16
     [Google Scholar]
124. Quigley HA, Park CK, Tracey PA, Pollack IP. 2002. Community screening for eye disease by laypersons: the Hoffberger program. Am. J. Ophthalmol. 133:3386–92
     [Google Scholar]
125. Rasendran C, Tye G, Knusel K, Singh RP. 2020. Demographic and socioeconomic differences in outpatient ophthalmology utilization in the United States. Am. J. Ophthalmol. 218:156–63
     [Google Scholar]
126. Rees G, Chong X-L, Cheung CY, Aung T, Friedman DS et al. 2014. Beliefs and adherence to glaucoma treatment: a comparison of patients from diverse cultures. J. Glaucoma 23:5293–98
     [Google Scholar]
127. Richter GM, Chung J, Azen SP, Varma R. 2009. Prevalence of visually significant cataract and factors associated with unmet need for cataract surgery. Ophthalmology 116:122327–35
     [Google Scholar]
128. Saadine JB, Fong DS, Yao J. 2008. Factors associated with follow-up eye examinations among persons with diabetes. Retina 28:2195–200
     [Google Scholar]
129. Sanjiv N, Osathanugrah P, Harrell M, Siegel NH, Ness T et al. 2022. Race and ethnic representation among clinical trials for diabetic retinopathy and diabetic macular edema within the United States: a review. J. Natl. Med. Assoc. 114:2123–40
     [Google Scholar]
130. Schaumberg DA, Christen WG, Glynn RJ, Buring JE. 2000. Demographic predictors of eye care utilization among women. Med. Care 38:6638–46
     [Google Scholar]
131. Schein OD, Cassard SD, Tielsch JM, Gower EW. 2012. Cataract surgery among Medicare beneficiaries. Ophthalmic Epidemiol. 19:5257–64
     [Google Scholar]
132. Schoenfeld E, Greene JM, Wu SY, Leske MC. 2001. Patterns of adherence to diabetes vision care guidelines: baseline findings from the Diabetic Retinopathy Awareness Program. Ophthalmology 108:3563–71
     [Google Scholar]
133. Sekimitsu S, Zebardast N. 2021. Glaucoma and machine learning: a call for increased diversity in data. Ophthalmol. Glaucoma 4:4339–42
     [Google Scholar]
134. Shahbazi S, Studnicki J, Warner-Hillard CW. 2015. A cross-sectional retrospective analysis of the racial and geographic variations in cataract surgery. PLOS ONE 10:11e0142459
     [Google Scholar]
135. Sharkness CM, Hamburger S, Kaczmarek RG, Hamilton PM, Bright RA, Moore RM Jr. 1992. Racial differences in the prevalence of intraocular lens implants in the United States. Am. J. Ophthalmol. 114:6667–74
     [Google Scholar]
136. Sheppler CR, Lambert WE, Gardiner SK, Becker TM, Mansberger SL. 2014. Predicting adherence to diabetic eye examinations: development of the Compliance with Annual Diabetic Eye Exams Survey. Ophthalmology 121:61212–19
     [Google Scholar]
137. Shields CN, Cherkas EG, Mokhashi N, Cai LZ, Pandit RR et al. 2021. Barriers to follow-up retinal care during the COVID-19 pandemic: a survey study. Ophthalmic Surg. Lasers Imaging Retina 52:10526–33
     [Google Scholar]
138. Silver K, Williams M, Macario E. 2006. The National Eye Health Education Program: increasing awareness of diabetic eye disease among American Indians and Alaska Natives. Ethn. Dis. 16:4920–25
     [Google Scholar]
139. Sleath B, Ballinger R, Covert D, Robin AL, Byrd JE, Tudor G. 2009. Self-reported prevalence and factors associated with nonadherence with glaucoma medications in veteran outpatients. Am. J. Geriatr. Pharmacother. 7:267–73
     [Google Scholar]
140. Sleath B, Blalock SJ, Robin A, Hartnett ME, Covert D et al. 2010. Development of an instrument to measure glaucoma medication self-efficacy and outcome expectations. Eye 24:4624–31
     [Google Scholar]
141. Sleath B, Davis S, Sayner R, Carpenter DM, Johnson T et al. 2017. African American patient preferences for glaucoma education. Optometry Vis. Sci. 94:4482–86
     [Google Scholar]
142. Sleath B, Robin AL, Covert D, Byrd JE, Tudor G, Svarstad B. 2006. Patient-reported behavior and problems in using glaucoma medications. Ophthalmology 113:3431–36
     [Google Scholar]
143. Sloan FA, Yashkin AP, Chen Y. 2014. Gaps in receipt of regular eye examinations among Medicare beneficiaries diagnosed with diabetes or chronic eye diseases. Ophthalmology 121:122452–60
     [Google Scholar]
144. Soares RR, Parikh D, Shields CN, Peck T, Gopal A et al. 2020. Geographic access disparities to clinical trials in diabetic eye disease in the United States. Ophthalmol. Retina 5:9879–87
     [Google Scholar]
145. Stein JD, Andrews C, Musch DC, Green C, Lee PP. 2016. Sight-threatening ocular diseases remain underdiagnosed among children of less affluent families. Health Aff. 35:81359–66
     [Google Scholar]
146. Stryker JE, Beck AD, Primo SA, Echt KV, Bundy L et al. 2010. An exploratory study of factors influencing glaucoma treatment adherence. J. Glaucoma 19:166–72
     [Google Scholar]
147. Tapley JL, McGwin G Jr., Ashraf AP, MacLennan PA, Callahan K et al. 2015. Feasibility and efficacy of diabetic retinopathy screening among youth with diabetes in a pediatric endocrinology clinic: a cross-sectional study. Diabetol. Metab. Syndr. 7:156
     [Google Scholar]
148. Taylor SA, Galbraith SM, Mills RP. 2002. Causes of non-compliance with drug regimens in glaucoma patients: a qualitative study. J. Ocul. Pharmacol. Ther. 18:5401–9
     [Google Scholar]
149. Thomas CG, Channa R, Prichett L, Liu TYA, Abramoff MD, Wolf RM. 2021. Racial/ethnic disparities and barriers to diabetic retinopathy screening in youths. JAMA Ophthalmol. 139:7791–95
     [Google Scholar]
150. Toy BC, Myung DJ, He L, Pan CK, Chang RT et al. 2016. Smartphone-based dilated fundus photography and near visual acuity testing as inexpensive screening tools to detect referral warranted diabetic eye disease. Retina 36:51000–8
     [Google Scholar]
151. Tsai JC. 2009. A comprehensive perspective on patient adherence to topical glaucoma therapy. Ophthalmology 116:11S30–36
     [Google Scholar]
152. van Eijk KND, Blom JW, Gussekloo J, Polak BCP, Groeneveld Y. 2012. Diabetic retinopathy screening in patients with diabetes mellitus in primary care: incentives and barriers to screening attendance. Diabetes Res. Clin. Pract. 96:110–16
     [Google Scholar]
153. van Zyl T, Su Z, Zhou E, Wong RK, Mohsenin A et al. 2015. Providing prescheduled appointments as a strategy for improving follow-up compliance after community-based glaucoma screening: results from an urban underserved population. J. Commun. Health 40:27–33
     [Google Scholar]
154. Varma R, Mohanty SA, Deneen J, Wu J, Azen SP, Group LALES 2008. Burden and predictors of undetected eye disease in Mexican-Americans: the Los Angeles Latino Eye Study. Med. Care 46:5497–506
     [Google Scholar]
155. Varma R, Vajaranant TS, Burkemper B, Wu S, Torres M et al. 2016. Visual impairment and blindness in adults in the United States: demographic and geographic variations from 2015 to 2050. JAMA Ophthalmol. 134:7802–9
     [Google Scholar]
156. Vela C, Samson E, Zunzunegui MV, Haddad S, Aubin M-J, Freeman EE. 2012. Eye care utilization by older adults in low, middle, and high income countries. BMC Ophthalmol. 12:5
     [Google Scholar]
157. Wagner LD, Rein DB. 2013. Attributes associated with eye care use in the United States: a meta-analysis. Ophthalmology 120:71497–501
     [Google Scholar]
158. Walker EA, Basch CE, Howard CJ, Zybert PA, Kromholz WN, Shamoon H. 1997. Incentives and barriers to retinopathy screening among African-Americans with diabetes. J. Diabetes Complicat. 11:5298–306
     [Google Scholar]
159. Weiss D, Casten RJ, Leiby BE, Hark LA, Murchison AP et al. 2015. Effect of behavioral intervention on dilated fundus examination rates in older African American individuals with diabetes mellitus: a randomized clinical trial. JAMA Ophthalmol. 133:91005–12
     [Google Scholar]
160. Wohlfahrt A, Campos A, Iversen MD, Gagne JJ, Massarotti E et al. 2018. Use of rheumatology-specific patient navigators to understand and reduce barriers to medication adherence: analysis of qualitative findings. PLOS ONE 13:7e0200886
     [Google Scholar]
161. Wolfram C, Stahlberg E, Pfeiffer N. 2019. Patient-reported nonadherence with glaucoma therapy. J. Ocul. Pharmacol. Ther. 35:4223–28
     [Google Scholar]
162. Wu AM, Wu CM, Tseng VL, Greenberg PB, Giaconi JA et al. 2018. Characteristics associated with receiving cataract surgery in the US Medicare and Veterans Health Administration populations. JAMA Ophthalmol. 136:7738–45
     [Google Scholar]
163. Yusuf R, Chen EM, Nwanyanwu K, Richards B. 2020. Neighborhood deprivation and adherence to initial diabetic retinopathy screening. Ophthalmol. Retina 4:5550–52
     [Google Scholar]
164. Zangalli C, Murchison AP, Hale N, Hark LA, Pizzi LT et al. 2016. An education- and telephone-based intervention to improve follow-up to vision care in patients with diabetes: a prospective, single-blinded, randomized trial. Am. J. Med. Qual. 31:2156–61
     [Google Scholar]
165. Zhang X, Beckles GL, Chou C-F, Saaddine JB, Wilson MR et al. 2013. Socioeconomic disparity in use of eye care services among US adults with age-related eye diseases: National Health Interview Survey, 2002 and 2008. JAMA Ophthalmol. 131:91198–206
     [Google Scholar]
166. Zhang X, Cotch MF, Ryskulova A, Primo SA, Nair P et al. 2012. Vision health disparities in the United States by race/ethnicity, education, and economic status: findings from two nationally representative surveys. Am. J. Ophthalmol. 154:6 SupplS53–62.e1
     [Google Scholar]
167. Zhang X, Norris SL, Saadine J, Chowdhury FM, Horsley T et al. 2007. Effectiveness of interventions to promote screening for diabetic retinopathy. Am. J. Prev. Med. 33:4318–35
     [Google Scholar]
168. Zhang X, Saaddine JB, Chou C-F, Cotch MF, Cheng YJ et al. 2010. Prevalence of diabetic retinopathy in the United States, 2005–2008. JAMA 304:6649–56
     [Google Scholar]
169. Zhao D, Guallar E, Bowie JV, Swenor B, Gajwani P et al. 2018. Improving follow-up and reducing barriers for eye screenings in communities: the SToP Glaucoma Study. Am. J. Ophthalmol. 188:19–28
     [Google Scholar]
170. Zhao D, Guallar E, Gajwani P, Swenor B, Crews J et al. 2017. Optimizing glaucoma screening in high risk population: design and 1-year findings of the Screening to Prevent (SToP) Glaucoma study. Am. J. Ophthalmol. 180:18–28
     [Google Scholar]
171. Zheng CX, Hu WD, Tran J, Siam L, Berardi GG et al. 2016. Barriers to receiving follow-up eye care and detection of non-glaucomatous ocular pathology in the Philadelphia Glaucoma Detection and Treatment Project. J. Commun. Health 41:2359–67
     [Google Scholar]
172. Zhou B, Mitchell TC, Rusakevich AM, Brown DM, Wykoff CC. 2020. Noncompliance in prospective retina clinical trials: analysis of factors predicting loss to follow-up. Am. J. Ophthalmol. 210:86–96
     [Google Scholar]
173. Zwarenstein M, Shiller SK, Croxford R, Grimshaw JM, Kelsall D et al. 2014. Printed educational messages aimed at family practitioners fail to increase retinal screening among their patients with diabetes: a pragmatic cluster randomized controlled trial [ISRCTN72772651]. Implement. Sci. 9:87
     [Google Scholar]