Cited by 59Retinal Diseases and TreatmentsRetinal Imaging and AnalysisDiabetes Management and Education

Adherence to ophthalmology referral, treatment and follow-up after diabetic retinopathy screening in the primary care setting

Open access
Bresnick, George, Cuadros, Jorge A, Khan, Mahbuba, Fleischmann, Sybille, Wolff, Gregory, Limon, Andrea, Chang, Jenny, Jiang, Luohua +2 more·2020·BMJ Open Diabetes Research & Care

Abstract

Introduction: Telemedicine-based diabetic retinopathy screening (DRS) in primary care settings has increased the screening rates of patients with diabetes. However, blindness from vision-threatening diabetic retinopathy (VTDR) is a persistent problem. This study examined the extent of patients’ adherence to postscreening recommendations. Research design/methods: A retrospective record review was conducted in primary care clinics of a large county hospital in the USA. All patients with diabetes detected with VTDR in two time periods, differing in record type used, were included in the study: 2012–2014, paper charts only; 2015–2017, combined paper charts/electronic medical records (EMRs), or EMRs only. Adherence rates for keeping initial ophthalmology appointments, starting recommended treatments, and keeping follow-up appointments were determined. Results: Adequate records were available for 6046 patients; 408 (7%) were detected with VTDR and recommended for referral to ophthalmology. Only 5% completed a first ophthalmology appointment within recommended referral interval, 15% within twice the recommended interval, and 51% within 1 year of DRS. Patients screened in 2015–2017 were more likely to complete a first ophthalmology appointment than those in 2012–2014. Ophthalmic treatment was recommended in half of the patients, of whom 94% initiated treatment. A smaller percentage (41%) adhered completely to post-treatment follow-up. Overall, 28% of referred patients: (1) kept a first ophthalmology appointment; (2) were recommended for treatment; and (3) initiated the treatment. Most patients failing to keep first ophthalmology appointments continued non-ophthalmic medical care at the institution. EMRs provided more complete information than paper charts. Conclusions: Reducing vision impairment from VTDR requires greater emphasis on timely adherence to ophthalmology referral and follow-up. Prevention of visual loss from VTDR starts with retinopathy screening, but must include patient engagement, adherence monitoring, and streamlining ophthalmic referral and management. Revision of these processes has already been implemented at the study site, incorporating lessons from this investigation.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/bmjdrc-2019-001154

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • After AI interpretation, delayed result communication, unclear referral pathways, insufficient patient-facing communication, referral loss, or inadequate treatment capacity can prevent automated detection from becoming completed care.

    “After AI interpretation, delayed result communication, unclear referral pathways, insufficient patientfacing communication, referral loss, or inadequate treatment capacity can prevent automated detection from becoming completed care (17)(18)(19)(20)(21)(22)(23).”

    From From validation to public health impact: implementing equitable AI-enabled diabetic retinopathy screening (2026) · cites this paper as [19]

    The Discussion (page not supplied) documents referral loss: some patients who missed an ophthalmology appointment had no recorded formal referral, and the authors call for better referral tracking. The Introduction says patients need education about timely specialist care. But this study used human retinal graders, not AI, and the cited passages do not establish delayed result communication or inadequate treatment capacity as barriers. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Other US reports show 5-51% referral uptake within recommended timeframes.

    “These low baseline rates of referral uptake align with other US reports showing 5–51% referral uptake within recommended timeframes12, indicating substantial potential benefit in these settings.”

    From Referral uptake after diabetic retinopathy screening with artificial intelligence-assisted care pathways: a systematic review and meta-analysis (2026) · cites this paper as [12]

    The Results > Adherence rates section reports that 5% kept a first ophthalmology appointment within the recommended referral interval. It reports 48% and 56% within one year in two study periods, but one year was not the recommended interval for those patients. The cited paper therefore does not support describing the 51% figure as referral uptake within recommended timeframes. (LLM, conf=0.90)

    Experimental — accuracy not yet measured
  • Even after primary care DR screening, adherence to ophthalmology referral, treatment, and follow-up can remain incomplete.

    “Bresnick and colleagues showed that even after primary care DR screening, adherence to ophthalmology referral, treatment, and follow-up can remain incomplete (19).”
  • Referral uptake for those with referable diabetic retinopathy is sub-optimal.

    “Indeed, beyond challenges of access and attendance at routine DR screening, referral uptake for those with referable DR is sub-optimal11,12 resulting in unmanaged patients at risk of blindness.”
  • Sub-optimal referral uptake results in unmanaged patients at risk of blindness.

    “Indeed, beyond challenges of access and attendance at routine DR screening, referral uptake for those with referable DR is sub-optimal11,12 resulting in unmanaged patients at risk of blindness.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 23

  1. [1]Scanlon PH The English national screening programme for diabetic retinopathy 2003-2016. Acta Diabetol 2017; 54: 515– 25. 10.1007/s00592-017-0974-1 28224275 PMC5429356 · DOI
  2. [2]Daskivich LP, Vasquez C, Martinez C, et al Implementation and evaluation of a large-scale teleretinal diabetic retinopathy screening program in the Los Angeles County department of health services. JAMA Intern Med 2017; 177: 642– 9. 10.1001/jamainternmed.2017.0204 28346590 PMC5818774 · DOI
  3. [3]Mansberger SL, Sheppler C, Barker G, et al Long-term comparative effectiveness of telemedicine in providing diabetic retinopathy screening examinations: a randomized clinical trial. JAMA Ophthalmol 2015; 133: 518– 25. 10.1001/jamaophthalmol.2015.1 25741666 PMC6023855 · DOI · Paper page
  4. [4]Jani PD, Forbes L, Choudhury A, et al Evaluation of diabetic retinal screening and factors for ophthalmology referral in a telemedicine network. JAMA Ophthalmol 2017; 135: 706– 14. 10.1001/jamaophthalmol.2017.1150 28520833 PMC5710198 · DOI · Paper page
  5. [5]Vujosevic S, Benetti E, Massignan F, et al Screening for diabetic retinopathy: 1 and 3 nonmydriatic 45-degree digital fundus photography vs 7 standard early treatment diabetic retinopathy study fields. Am J Ophthalmol 2009; 148: 111– 8. 10.1016/j.ajo.2009.02.031 19406376 · DOI
  6. [6]Smith-Morris C, Bresnick GH, Cuadros J, et al Diabetic retinopathy and the cascade into vision loss. Med Anthropol 2020; 39: 109-122. 10.1080/01459740.2018.1425839 29338335 · DOI
  7. [7]Ferris FL How effective are treatments for diabetic retinopathy? JAMA 1993; 269: 1290– 1. 10.1001/jama.1993.03500100088034 8437309 · DOI
  8. [9]Mehrotra A, Forrest CB, Lin CY Dropping the baton: specialty referrals in the United States. Milbank Q 2011; 89: 39– 68. 10.1111/j.1468-0009.2011.00619.x 21418312 PMC3160594 · DOI
  9. [10]Tseng VL, Greenberg PB, Scott IU, et al Compliance with the American academy of ophthalmology preferred practice pattern for diabetic retinopathy in a resident ophthalmology clinic. Retina 2010; 30: 787– 94. 10.1097/IAE.0b013e3181cd47a2 20168268 · DOI
  10. [12]Thompson AC, Thompson MO, Young DL, et al Barriers to follow-up and strategies to improve adherence to appointments for care of chronic eye diseases. Invest Ophthalmol Vis Sci 2015; 56: 4324– 31. 10.1167/iovs.15-16444 26176869 · DOI
  11. [14]Wong TY, Sun J, Kawasaki R, et al Guidelines on diabetic eye care: the international council of ophthalmology recommendations for screening, follow-up, referral, and treatment based on resource settings. Ophthalmology 2018; 125: 1608– 22. 10.1016/j.ophtha.2018.04.007 29776671 · DOI · Paper page
  12. [15]Stille CJ, McLaughlin TJ, Primack WA, et al Determinants and impact of generalist-specialist communication about pediatric outpatient referrals. Pediatrics 2006; 118: 1341– 9. 10.1542/peds.2005-3010 17015522 · DOI · Paper page
  13. [16]Keenum Z, McGwin G, Witherspoon CD, et al Patients' adherence to recommended follow-up eye care after diabetic retinopathy screening in a publicly funded County clinic and factors associated with follow-up eye care use. JAMA Ophthalmol 2016; 134: 1221– 8. 10.1001/jamaophthalmol.2016.3081 27632231 · DOI
  14. [17]Negretti GS, Amin R, Webster L, et al Does delay in referral of proliferative diabetic retinopathy from the diabetic eye screening programme lead to visual loss? Eye 2016; 30: 873– 6. 10.1038/eye.2016.56 27055673 PMC4906462 · DOI
  15. [18]Date RC, Shen KL, Shah BM, et al Accuracy of detection and grading of diabetic retinopathy and diabetic macular edema using teleretinal screening. Ophthalmol Retina 2019; 3: 343– 9. 10.1016/j.oret.2018.12.003 31014687 · DOI
  16. [19]Obeid A, Gao X, Ali FS, et al Loss to follow-up in patients with proliferative diabetic retinopathy after panretinal photocoagulation or intravitreal anti-VEGF injections. Ophthalmology 2018; 125: 1386– 92. 10.1016/j.ophtha.2018.02.034 29606377 · DOI
  17. [20]Weiss M, Sim DA, Herold T, et al Compliance and adherence of patients with diabetic macular edema to intravitreal anti-vascular endothelial growth factor therapy in daily practice. Retina 2018; 38: 2293– 300. 10.1097/IAE.0000000000001892 29068914 · DOI
  18. [21]Angermann R, Rauchegger T, Nowosielski Y, et al 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. Graefes Arch Clin Exp Ophthalmol 2019; 257: 2119– 25. 10.1007/s00417-019-04414-y 31286206 · DOI
  19. [22]Photocoagulation treatment of proliferative diabetic retinopathy. clinical application of diabetic retinopathy study (DRS) findings, DRS report number 8. the diabetic retinopathy study Research Group. Ophthalmology 1981; 88: 583– 600. 7196564
  20. [23]Bouskill K, Smith-Morris C, Bresnick G, et al Blind spots in telemedicine: a qualitative study of staff workarounds to resolve gaps in diabetes management. BMC Health Serv Res 2018; 18: 617. 10.1186/s12913-018-3427-9 30086743 PMC6081904 · DOI
  21. [24]Chen EM, Armstrong GW, Cox JT, et al Association of the affordable care act medicaid expansion with dilated eye examinations among the United States population with diabetes. Ophthalmology 2019; 6420: 32056. 10.1016/j.ophtha.2019.09.010 31735405 · DOI
  22. [25]Alharbi AG, Khan MM, Horner R, et al Impact of medicaid coverage expansion under the affordable care act on mammography and Pap tests utilization among low-income women. PLoS One 2019; 14: e0214886. 10.1371/journal.pone.0214886 30943249 PMC6447234 · DOI
  23. [27]Shi Q, Zhao Y, Fonseca V, et al Racial disparity of eye examinations among the U.S. working-age population with diabetes: 2002-2009. Diabetes Care 2014; 37: 1321– 8. 10.2337/dc13-1038 24574354 PMC4876755 · DOI · Paper page

Cited by

Sorted by citations

Authors
Bresnick, G., Cuadros, J. A., Khan, M., Fleischmann, S., Wolff, G., Limon, A., Chang, J., Jiang, L., Cuadros, P., & Pedersen, E. R.
Affiliations
  • University of California, Berkeley (US)
  • Family Medicine, Riverside University Health System, Riverside, California, USA
  • Advanced Clinical, Chicago, Illinois, USA
  • EyePACS, Santa Cruz, California, USA
  • University of California, Irvine (US)
  • Google (United States) (US)
Corresponding author
Bresnick, George
Venue
BMJ Open Diabetes Research & Care
Publisher
BMJ
Published
2020-06
Volume
8
Issue
1
Pages
e001154
ISSN
2052-4897 (ISSN-L)
OpenAlex
W3036885589
Cited by
59
References
1
Citations by year
2026: 11 · 2025: 11 · 2024: 11 · 2023: 11 · 2022: 10 · 2021: 5
FWCI
5.15
Type
journal article
Language
en
Open access
Locations
  • BMJ Open Diabetes Research & Care (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • eScholarship (California Digital Library) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by-nc)
Funders
  • EyePACS LLC, Santa Cruz, CA (none)
  • Google LLC, Mountain View, CA (none)
Topics
  • Health Sciences › Medicine › Ophthalmology › Retinal Diseases and Treatments
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Retinal Imaging and Analysis
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Keywords
diabetic retinopathy, vision-threatening diabetic retinopathy, ophthalmology referral, medication adherence, follow-up visits, telemedicine screening, electronic health records, paper charts, primary care, diabetes mellitus, blindness prevention
MeSH terms
Diabetes Mellitus, Diabetic Retinopathy, Follow-Up Studies, Humans, Ophthalmology, Primary Health Care, Referral and Consultation, Retrospective Studies

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review