Challenges to establishing nationwide diabetic retinopathy screening programs

A stepwise implementation of the Slovenian National Diabetic Retinopathy Screening Program - evaluation of the first 4.5 years

BACKGROUND

This retrospective cohort study aimed to assess the characteristics of patients enrolled in the national diabetic retinopathy (DR) screening program and evaluate the selected program's quality elements in the first five years after implementation.

METHODS

Patients who underwent DR screening between February 2018 and June 2022 at the University Medical Centre Ljubljana were included. General patient characteristics (age, sex, type and therapy of diabetes mellitus (DM), duration of DM, blood HbA1c levels), best corrected visual acuity, stage of DR, presence of sight-threatening diabetic retinopathy (STDR), and selected quality indicators (quality of photographs, re-screening interval, time to treatment) were recorded and evaluated.

RESULTS

A total of 34 654 screening examinations were performed on 13 513 patients with diabetes. The majority (77.3%) had Type 2 diabetes, with a mean DM duration of 9.74 ± 9.87 years. In 55.9% of patients, DM duration was less than ten years, and the mean HbA1c was 7.33% ± 1.49. DR signs were noted in 29.1% of patients and 0.89% of patients exhibited STDR. After establishing the diagnosis of STDR, treatment was initiated in 3.43 ± 1.98 months.

CONCLUSION

Implementing the DR screening program provides valuable insights into managing diabetic retinopathy nationwide. It allows for the early detection of sight-threatening DR and facilitates timely and effective treatment, which could help prevent severe visual impairment.

Artificial Intelligence Improves Patient Follow-Up in a Diabetic Retinopathy Screening Program

Purpose

We examine the rate of and reasons for follow-up in an Artificial Intelligence (AI)-based workflow for diabetic retinopathy (DR) screening relative to two human-based workflows.

Patients and Methods

A DR screening program initiated September 2019 between one institution and its affiliated primary care and endocrinology clinics screened 2243 adult patients with type 1 or 2 diabetes without a diagnosis of DR in the previous year in the San Francisco Bay Area. For patients who screened positive for more-than-mild-DR (MTMDR), rates of follow-up were calculated under a store-and-forward human-based DR workflow ("Human Workflow"), an AI-based workflow involving IDx-DR ("AI Workflow"), and a two-step hybrid workflow ("AI-Human Hybrid Workflow"). The AI Workflow provided results within 48 hours, whereas the other workflows took up to 7 days. Patients were surveyed by phone about follow-up decisions.

Results

Under the AI Workflow, 279 patients screened positive for MTMDR. Of these, 69.2% followed up with an ophthalmologist within 90 days. Altogether 70.5% (N=48) of patients who followed up chose their location based on primary care referral. Among the subset of patients that were seen in person at the university eye institute under the Human Workflow and AI-Human Hybrid Workflow, 12.0% (N=14/117) and 11.7% (N=12/103) of patients with a referrable screening result followed up compared to 35.5% of patients under the AI Workflow (N=99/279; χ2df=2 = 36.70, p < 0.00000001).

Conclusion

Ophthalmology follow-up after a positive DR screening result is approximately three-fold higher under the AI Workflow than either the Human Workflow or AI-Human Hybrid Workflow. Improved follow-up behavior may be due to the decreased time to screening result.

Diagnostic test accuracy of artificial intelligence in screening for referable diabetic retinopathy in real-world settings: A systematic review and meta-analysis

Retrospective studies on artificial intelligence (AI) in screening for diabetic retinopathy (DR) have shown promising results in addressing the mismatch between the capacity to implement DR screening and increasing DR incidence. This review sought to evaluate the diagnostic test accuracy (DTA) of AI in screening for referable diabetic retinopathy (RDR) in real-world settings. We searched CENTRAL, PubMed, CINAHL, Scopus, and Web of Science on 9 February 2023. We included prospective DTA studies assessing AI against trained human graders (HGs) in screening for RDR in patients with diabetes. Two reviewers independently extracted data and assessed methodological quality against QUADAS-2 criteria. We used the hierarchical summary receiver operating characteristics (HSROC) model to pool estimates of sensitivity and specificity and, forest plots and SROC plots to visually examine heterogeneity in accuracy estimates. From our initial search results of 3899 studies, we included 15 studies comprising 17 datasets. Meta-analyses revealed a sensitivity of 95.33% (95%CI: 90.60-100%) and specificity of 92.01% (95%CI: 87.61-96.42%) for patient-level analysis (10 datasets, N = 45,785) while, for the eye-level analysis, sensitivity was 91.24% (95%CI: 79.15-100%) and specificity, 93.90% (95%CI: 90.63-97.16%) (7 datasets, N = 15,390). Subgroup analyses did not provide variations in the diagnostic accuracy of country classification and DR classification criteria. However, a moderate increase was observed in diagnostic accuracy in the primary-level healthcare settings: sensitivity of 99.35% (95%CI: 96.85-100%), specificity of 93.72% (95%CI: 88.83-98.61%) and, a minimal decrease in the tertiary-level healthcare settings: sensitivity of 94.71% (95%CI: 89.00-100%), specificity of 90.88% (95%CI: 83.22-98.53%). Sensitivity analyses did not show any variations in studies that included diabetic macular edema in the RDR definition, nor studies with ≥3 HGs. This review provides evidence, for the first time from prospective studies, for the effectiveness of AI in screening for RDR in real-world settings. The results may serve to strengthen existing guidelines to improve current practices.

Deep-Learning-Aided Diagnosis of Diabetic Retinopathy, Age-Related Macular Degeneration, and Glaucoma Based on Structural and Angiographic OCT

Purpose

Timely diagnosis of eye diseases is paramount to obtaining the best treatment outcomes. OCT and OCT angiography (OCTA) have several advantages that lend themselves to early detection of ocular pathology; furthermore, the techniques produce large, feature-rich data volumes. However, the full clinical potential of both OCT and OCTA is stymied when complex data acquired using the techniques must be manually processed. Here, we propose an automated diagnostic framework based on structural OCT and OCTA data volumes that could substantially support the clinical application of these technologies.

Design

Cross sectional study.

Participants

Five hundred twenty-six OCT and OCTA volumes were scanned from the eyes of 91 healthy participants, 161 patients with diabetic retinopathy (DR), 95 patients with age-related macular degeneration (AMD), and 108 patients with glaucoma.

Methods

The diagnosis framework was constructed based on semisequential 3-dimensional (3D) convolutional neural networks. The trained framework classifies combined structural OCT and OCTA scans as normal, DR, AMD, or glaucoma. Fivefold cross-validation was performed, with 60% of the data reserved for training, 20% for validation, and 20% for testing. The training, validation, and test data sets were independent, with no shared patients. For scans diagnosed as DR, AMD, or glaucoma, 3D class activation maps were generated to highlight subregions that were considered important by the framework for automated diagnosis.

Main Outcome Measures

The area under the curve (AUC) of the receiver operating characteristic curve and quadratic-weighted kappa were used to quantify the diagnostic performance of the framework.

Results

For the diagnosis of DR, the framework achieved an AUC of 0.95 ± 0.01. For the diagnosis of AMD, the framework achieved an AUC of 0.98 ± 0.01. For the diagnosis of glaucoma, the framework achieved an AUC of 0.91 ± 0.02.

Conclusions

Deep learning frameworks can provide reliable, sensitive, interpretable, and fully automated diagnosis of eye diseases.

Financial Disclosures

Proprietary or commercial disclosure may be found after the references.

Comparison of Photographic Screening Methods for Diabetic Retinopathy – A Meta-analysis

INTRODUCTION

Diabetic Retinopathy (DR) is a leading cause of irreversible visual impairment and blindness in both developed and developing countries. Although the merits of DR screening are well recognized, significant variations in screening practices including imaging modality still exists.

PURPOSE

To evaluate and compare the sensitivity and specificity of mydriatic and non-mydriatic photographic screening methods using 7-Field fundus photography or dilated fundus examination (DFE) by an ophthalmologist as reference standard.

METHODS

A systematic review using PRISMA Guidelines was conducted by online search of MEDLINE, Web of Science, and other repositories of all available studies from 1990 until 2019. A total of 62 studies were included in the meta-analysis from a total of 406 suitable abstracts screened and 95 articles reviewed in full. Data were collected using a standardized extraction form independently, with all authors masked to others' search results.

RESULTS

For the detection of any DR (ADR), sensitivity ranged from 81% with single field to a maximum of 99% for 4-7 fields and wide-angle images. For detection of referable DR (RDR) sensitivity ranged from 76% for single field to 93% for wide-angle photography. Specificity was lowest at 91% for wide-angle images and greatest at 99% for three field photography. Study heterogeneity was noted to be significant, which was partly attributed to the range of DR classification between studies.

CONCLUSIONS

The sensitivity and specificity of DR screening are positively associated with number of photographic fields. Pooled estimates suggest non-mydriatic two-field photography may be sufficient for screening detection of ADR and RDR.

Complex interventions to implement a diabetic retinopathy care pathway in the public health system in Kerala: the Nayanamritham study protocol

INTRODUCTION

Using a type 2 hybrid effectiveness-implementation design, we aim to pilot a diabetic retinopathy (DR) care pathway in the public health system in Kerala to understand how it can be scaled up to and sustained in the whole state.

METHODS AND ANALYSIS

Currently, there is no systematic DR screening programme in Kerala. Our intervention is a teleophthalmology pathway for people with diabetes in the non-communicable disease registers in 16 family health centres. The planned implementation strategy of the pathway will be developed based on the discrete Expert Recommendations for Implementing Change taxonomy. We will use both quantitative data from a cross-sectional study and qualitative data obtained from structured interviews, surveys and group discussions with stakeholders to report the effectiveness of the DR care pathway and evaluation of the implementation strategy.We will use logistic regression models to assess crude associations DR and sight-threatening diabetic retinopathy and fractional polynomials to account for the form of continuous covariates to predict uptake of DR screening. The primary effectiveness outcome is the proportion of patients in the non-communicable disease register with diabetes screened for DR over 12 months. Other outcomes include cost-effectiveness, safety, efficiency, patient satisfaction, timeliness and equity. The outcomes of evaluation of the implementation strategies include acceptability, feasibility, adoption, appropriateness, fidelity, penetration, costs and sustainability. Addition of more family health centres during the staggered initial phase of the programme will be considered as a sign of acceptability and feasibility. In the long term, the state-wide adoption of the DR care pathway will be considered as a successful outcome of the Nayanamritham study.

ETHICS AND DISSEMINATION

The study was approved by Indian Medical Research Council (2018-0551) dated 13 March 2019. Study findings will be disseminated through scientific publications and the report will inform adoption of the DR care pathway by Kerala state in future.

TRIAL REGISTRATION NUMBER

ISRCTN28942696.

Assessment of Annual Diabetic Eye Examination Using Telemedicine Technology Among Underserved Patients in Primary Care Setting

CONTEXT

Digital retinal imaging with the application of telemedicine technology shows promising results for screening of diabetic retinopathy in the primary care setting without requiring an ophthalmologist on site.

AIMS

We assessed whether the establishment of telemedicine technology was an effective and efficient way to increase completion of annual eye examinations among underserved, low-income (Medicaid) diabetic patients.

SETTINGS AND DESIGN

A cross-sectional study in a primary care setting.

SUBJECTS AND METHODS

Health care claims data were collected before the establishment of telemedicine technology in 2010 and after its implementation in 2012 for Medicaid patients at East Baltimore Medical Center (EBMC), an urban health center that is part of Johns Hopkins Health System.

STATISTICAL ANALYSIS USED

The primary outcome measure was the compliance rate of patients with diabetic eye examinations; calculated as the number of diabetic patients with a completed telemedicine eye examination, divided by the total number of diabetic patients.

RESULTS

In 2010, EBMC treated 213 Medicaid diabetic patients and in 2012 treated 228 Medicaid patients. In 2010, 47.89% of patients completed their annual diabetic eye examination while in 2012 it was 78.07% (P < 0.001). After adjustment for age, gender, HgBA1C, disease severity, using resource utilization band score as a proxy, and medication possession ratio; telemedicine technology significantly increased the compliance (odds ratio: 4.98, P < 0.001).

CONCLUSIONS

Adherence to annual eye examinations is low in the studied Medicaid diabetic population. Telemedicine technology in a primary care setting can increase compliance with annual eye examinations.

Patient Attitudes Toward Telemedicine for Diabetic Retinopathy

INTRODUCTION

Diabetic retinopathy (DR) is the leading cause of new-onset blindness in adults. Telemedicine is a validated, cost-effective method to improve monitoring. However, little is known of patients' attitudes toward telemedicine for DR. Our study explores factors that influence patients' attitudes toward participating in telemedicine.

MATERIALS AND METHODS

Ninety seven participants in a university and the Veterans Administration setting completed a survey. Only people with diabetes mellitus (DM) were included. The main outcome was willingness to participate in telemedicine. The other outcomes were perceived convenience and impact on the patient-physician relationship. Participants reported demographic information, comorbidities, and access to healthcare. Analysis was performed with t-tests and multivariable logistic regression.

RESULTS

Demographic factors were not associated with the outcomes (all p > 0.05). Patients had decreased odds of willingness if they valued the patient-physician relationship (adjusted odds ratio [OR] = 0.08, confidence interval [CI] = 0.02-0.35, p = 0.001) or had a longer duration of diabetes (adjusted OR = 0.93, CI = 0.88-0.99, p = 0.02). Patients had increased odds of willingness if they perceived increased convenience (adjusted OR = 8.10, CI = 1.77-36.97, p = 0.01) or had more systemic comorbidities (adjusted OR = 1.85, CI = 1.10-3.11, p = 0.02).

DISCUSSION

It is critical to understand the attitudes of people with DM where telemedicine shows promise for disease management and end-organ damage prevention. Patients' attitudes are influenced by their health and perceptions, but not by their demographics. Receptive patients focus on convenience, whereas unreceptive patients strongly value their patient-physician relationships or have long-standing DM. Telemedicine monitoring should be designed for people who are in need and receptive to telemedicine.

Systematic screening of Retinopathy in Diabetes (REaD project): an Italian implementation campaign

PURPOSE

To evaluate the use of telemedicine retinal screening in Italy and to identify potential elements of implementation of this system.

METHODS

Patients with either new-onset diabetes or no ophthalmologic visit over the previous 2 years and attending 33 referral diabetic centers between mid-April 2013 and mid December 2015 were screened. Two partially overlapping nonstereoscopic 45° digital color images were captured from each eye using a fully automated nonmydriatic digital fundus camera. Factors limiting the assessment of retinopathy were explored.

RESULTS

Out of 24,473 eligible individuals, 22,466 had complete data. Among them, good-quality images enabling appropriate evaluation of at least one eye were obtained from 19,712 patients (both eyes, n = 18,887). Although nonmydriatic retinographs were provided, 39% of patients were evaluated using mydriasis. The rate of low-quality images in each center was inversely associated with the number of patients assessed. This was more evident for screening in mydriasis: adjusted odds ratio (OR) 0.79 (95% confidence interval (CI) 0.76-0.82) (p<0.001) vs 0.96 (95% CI 0.94-0.97) (p<0.001). Finally, both the number of patients assessed and use of mydriasis were inversely related to the presence of diabetic retinopathy (DR): adjusted OR 0.93 (95% CI 0.92-0.93) (p<0.001) and 0.88 (95% CI 0.82-0.96) (p<0.001), respectively.

CONCLUSIONS

This program confirmed a role for teleophthalmology in the systematic screening of DR and provided important suggestions to improve the system deployed. A high level of training is required for operators to optimize imaging. The role of mydriasis should be evaluated further.

Diabetic Retinopathy Screening and Monitoring of Early Stage Disease in Australian General Practice: Tackling Preventable Blindness within a Chronic Care Model

INTRODUCTION

Diabetic retinopathy (DR) is the leading cause of preventable blindness in Australia. Up to 50% of people with proliferative DR who do not receive timely treatment will become legally blind within five years. Innovative and accessible screening, involving a variety of primary care providers, will become increasingly important if patients with diabetes are to receive optimal eye care.

METHOD

An open controlled trial design was used. Five intervention practices in urban, regional, and rural Australia partnered with ophthalmologists via telehealth undertook DR screening and monitoring of type 2 diabetes patients and were compared with control practices undertaking usual care 2011-2014.

RESULTS

Recorded screening rates were 100% across intervention practices, compared with 22-53% in control practices. 31/577 (5%) of patients in the control practices were diagnosed with mild-moderate DR, of whom 9 (29%) had appropriate follow-up recorded. This was compared with 39/447 (9%) of patients in the intervention group, of whom 37 (95%) had appropriate follow-up recorded.

DISCUSSION AND CONCLUSION

General practice-based DR screening via Annual Cycle of Care arrangements is effective across differing practice locations. It offers improved recording of screening outcomes for Australians with type 2 diabetes and better follow-up of those with screen abnormalities.

Improving Accuracy of Grading and Referral of Diabetic Macular Edema Using Location and Extent of Hard Exudates in Retinal Photography

BACKGROUND

Hard exudates (HE) are used as a surrogate marker for sight-threatening diabetic macular edema (DME) in most telemedicine-based screening programs in the world. This study investigates whether proximity of HE to the center of the macula, and extent of HE are associated with greater clinically significant macular edema (CSME) severity. A novel method for associating optical coherence tomography (OCT) scans with CSME was developed.

METHODS

Eligible subjects were recruited from a DRS program in a community clinic in Oakland, California. Ocular fundus of each subject was imaged using 3-field 45-degree digital retinal photography and scanned using central 7-line spectral domain OCT. Two certified graders separated subjects into 2 groups, those with and without HE within 500 microns from the center of the macula. A modified DME severity scale, developed from Early Treatment Diabetic Retinopathy Study data and adapted to OCT thickness measurements, was used to stratify CSME into severe and nonsevere levels for all subjects.

RESULTS

The probabilities of severe CSME in groups 1 and 2 were 14.4% (95% CI: 8.2%-23.8%) and 9% (95% CI: 2.4%-25.5%), respectively (P = .556). In post hoc analysis, increase in the number of sectors affected by HE within the central zone of the macula was associated with the increase in the probability of being diagnosed with severe CSME.

CONCLUSION

We have proposed OCT-based classification of DME into severe and nonsevere CSME. Based on this limited analysis, severity of CSME is related more to extent of HE rather than proximity to the center of the macula.

Telemedicine for detecting diabetic retinopathy: a systematic review and meta-analysis

Objective

To determine the diagnostic accuracy of telemedicine in various clinical levels of diabetic retinopathy (DR) and diabetic macular oedema (DME).

Methods

PubMed, EMBASE and Cochrane databases were searched for telemedicine and DR. The methodological quality of included studies was evaluated using the Quality Assessment for Diagnostic Accuracy Studies (QUADAS-2). Measures of sensitivity, specificity and other variables were pooled using a random effects model. Summary receiver operating characteristic curves were used to estimate overall test performance. Meta-regression and subgroup analyses were used to identify sources of heterogeneity. Publication bias was evaluated using Stata V.12.0.

Results

Twenty articles involving 1960 participants were included. Pooled sensitivity of telemedicine exceeded 80% in detecting the absence of DR, low- or high-risk proliferative diabetic retinopathy (PDR), it exceeded 70% in detecting mild or moderate non-proliferative diabetic retinopathy (NPDR), DME and clinically significant macular oedema (CSME) and was 53% (95% CI 45% to 62%) in detecting severe NPDR. Pooled specificity of telemedicine exceeded 90%, except in the detection of mild NPDR which reached 89% (95% CI 88% to 91%). Diagnostic accuracy was higher with digital images obtained through mydriasis than through non-mydriasis, and was highest when a wide angle (100–200°) was used compared with a narrower angle (45–60°, 30° or 35°) in detecting the absence of DR and the presence of mild NPDR. No potential publication bias was detected.

Conclusions

The diagnostic accuracy of telemedicine using digital imaging in DR is overall high. It can be used widely for DR screening. Telemedicine based on the digital imaging technique that combines mydriasis with a wide angle field (100–200°) is the best choice in detecting the absence of DR and the presence of mild NPDR.

Utility of hard exudates for the screening of macular edema

PURPOSE

The purpose of this study was to determine whether hard exudates (HEs) within one disc diameter of the foveola is an acceptable criterion for the referral of diabetic patients suspected of clinically significant macular edema (CSME) in a screening setting.

METHODS

One hundred forty-three adults diagnosed as having diabetes mellitus were imaged using a nonmydriatic digital fundus camera at the Alameda County Medical Center in Oakland, CA. Nonstereo fundus images were graded independently for the presence of HE near the center of the macula by two graders according to the EyePACS grading protocol. The patients also received a dilated fundus examination on a separate visit. Clinically significant macular edema was determined during the dilated fundus examination using the criteria set forth by the Early Treatment Diabetic Retinopathy Study. Subsequently, the sensitivity and specificity of HEs within one disc diameter of the foveola in nonstereo digital images used as a surrogate for the detection of CSME diagnosed by live fundus examination were calculated.

RESULTS

The mean (±SD) age of 103 patients included in the analysis was 56 ± 17 years. Clinically significant macular edema was diagnosed in 15.5% of eyes during the dilated examination. For the right eyes, the sensitivity of HEs within one disc diameter from the foveola as a surrogate for detecting CSME was 93.8% for each of the graders; the specificity values were 88.5 and 85.1%. For the left eyes, the sensitivity values were 93.8 and 75% for each of the two graders, respectively; the specificity was 87.4% for both graders.

CONCLUSIONS

This study supports the use of HE within a disc diameter of the center of the macula in nonstereo digital images for CSME detection in a screening setting.

Dilated eye examination screening guideline compliance among patients with diabetes without a diabetic retinopathy diagnosis: the role of geographic access

OBJECTIVE

To estimate the prevalence of, and factors associated with, dilated eye examination guideline compliance among patients with diabetes mellitus (DM), but without diabetic retinopathy.

RESEARCH DESIGN AND METHODS

Utilizing the computerized billing records database, we identified patients with International Classification of Diseases (ICD)-9 diagnoses of DM, but without any ocular diagnoses. The available medical records of patients in 2007-2008 were reviewed for demographic and ocular information, including visits through 2010 (n=200). Patients were considered guideline compliant if they returned at least every 15 months for screening. Participant street addresses were assigned latitude and longitude coordinates to assess their neighborhood socioeconomic status (using the 2000 US census data), distance to the screening facility, and public transportation access. Patients not compliant, based on the medical record review, were contacted by phone or mail and asked to complete a follow-up survey to determine if screening took place at other locations.

RESULTS

The overall screening compliance rate was 31%. Patient sociodemographic characteristics, insurance status, and neighborhood socioeconomic measures were not significantly associated with compliance. However, in separate multivariable logistic regression models, those living eight or more miles from the screening facility were significantly less likely to be compliant relative to those living within eight miles (OR=0.36 (95% CI 0.14 to 0.86)), while public transit access quality was positively associated with screening compliance (1.34 (1.07 to 1.68)).

CONCLUSIONS

Less than one-third of patients returned for diabetic retinopathy screening at least every 15 months, with transportation challenges associated with noncompliance. Our results suggest that reducing transportation barriers or utilizing community-based screening strategies may improve compliance.

Handheld shape discrimination hyperacuity test on a mobile device for remote monitoring of visual function in maculopathy

PURPOSE

Frequency monitoring of age-related macular degeneration (AMD) and diabetic retinopathy (DR) is crucial for timely intervention. This study evaluated a handheld shape discrimination hyperacuity (hSDH) test iPhone app designed for visual function self-monitoring in patients with AMD and DR.

METHODS

One hundred subjects (27 visually normal, 37 with AMD, and 36 with DR) were included based on clinical documentation and visual acuity of 20/100 or better. The hSDH test was implemented on the iOS platform. A cross-sectional study was conducted to compare the hSDH test with a previously established desktop SDH (dSDH) test and to assess the effect of disease severity on the hSDH test. A user survey was also conducted to assess the usability of the hSDH test on the mobile device.

RESULTS

The hSDH test and dSDH test were highly correlated (r = 0.88, P < 0.0001). Bland-Altman analysis indicated no significant difference in hSDH and dSDH measurements. One-way ANOVA indicated that the mean hSDH measurement of the eyes with advanced AMD (n = 16) or with severe to very severe nonproliferative DR (NPDR) (n = 12) was significantly worse than that of the eyes with intermediate AMD (n = 11) or with mild to moderate NPDR (n = 11) (P < 0.0001). Ninety-eight percent of 46 patients (10 with AMD and 36 with DR) who completed the usability survey reported that the hSDH test was easy to use.

CONCLUSIONS

This study demonstrated that the hSDH test on a mobile device is comparable to PC-based testing methods. As a mobile app, it is intuitive to use, readily accessible, and sensitive to the severity of maculopathy. It has the potential to provide patients having maculopathy with a new tool to monitor their vision at home.

Revisiting Diabetes 2000: challenges in establishing nationwide diabetic retinopathy prevention programs

PURPOSE

To evaluate the impact of the Diabetes 2000 program, an initiative launched by the American Academy of Ophthalmology in 1990 to improve nationwide screening of diabetic retinopathy (DR) and to reduce the prevalence and severity of the condition.

DESIGN

Retrospective, observational case study of Diabetes 2000 program.

METHODS

This is a perspective piece with a review of literature and personal opinions.

RESULTS

Patients with diabetes are likely to see an increase in the disease burdens associated with DR unless effective programs for early detection and control of DR are implemented.

CONCLUSIONS

Despite recent efforts to educate both patients and physicians alike about the importance of routine DR screening, the lessons learned from the Diabetes 2000 program illustrate the need for new strategies capable of improving accessibility to high-quality eye care, increasing involvement of primary care physicians in DR screening and encouraging at-risk individuals to seek testing.