Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: Methods and Screening Results

Optical Coherence Tomography Versus Optic Disc Photo Assessment in Glaucoma Screening

PRCIS

Optical coherence tomography (OCT) and optic disc photography present valuable but distinct capabilities for glaucoma screening.

OBJECTIVE

This review article examines the strengths and limitations of OCT and optic disc photography in glaucoma screening.

METHODS

A comprehensive literature review was conducted, focusing on the accuracy, feasibility, cost-effectiveness, and technological advancements in OCT and optic disc photography for glaucoma screening.

RESULTS

OCT is highly accurate and reproducible but faces limitations due to its cost and less portable nature, making widespread screening challenging. In contrast, optic disc photos are more accessible and cost-effective but are hindered by subjective interpretation and inconsistent grading reliability. A critical challenge in glaucoma screening is achieving a high PPV, particularly given the low prevalence of the disease, which can lead to a significant number of false positives. The advent of artificial intelligence (AI) and deep learning models shows potential in improving the diagnostic accuracy of optic disc photos by automating the detection of glaucomatous optic neuropathy and reducing subjectivity. However, the effectiveness of these AI models hinges on the quality of training data. Using subjective gradings as training data, will carry the limitations of human assessment into the AI system, leading to potential inaccuracies. Conversely, training AI models using objective data from OCT, such as retinal nerve fiber layer thickness, may offer a promising direction.

CONCLUSION

Both OCT and optic disc photography present valuable but distinct capabilities for glaucoma screening. An approach integrating AI technology might be key in optimizing these methods for effective, large-scale screening programs.

Comparison of Three Handheld Fundus Cameras for Assessment of the Vertical Cup-To-Disk Ratio

Purpose To compare the quality of optic nerve photographs from three different handheld fundus cameras and to assess the reproducibility and agreement of vertical cup-to-disk ratio (VCDR) measurements from each camera. Methods Adult patients from a comprehensive ophthalmology clinic and an intravitreous injection clinic in northern Thailand were recruited for this cross-sectional study. Each participant had optic nerve photography performed with each of 3 handheld cameras: the Volk iNview, Volk Pictor Plus, and Peek Retina. Images were graded for VCDR in a masked fashion by two photo-graders and images with > 0.2 discrepancy in VCDR were assessed by a third photo-grader. Results A total of 355 eyes underwent imaging with three different handheld fundus cameras. Optic nerve images were judged ungradable in 130 (37%) eyes imaged with Peek Retina, compared to 36 (10%) and 55 (15%) eyes imaged with the iNview and Pictor Plus, respectively. For 193 eyes with gradable images from all 3 cameras, inter-rater reliability for VCDR measurements was poor or moderate for each of the cameras, with intraclass correlation coefficients ranging from 0.41 to 0.52. A VCDR ≥ 0.6 was found in 6 eyes on iNview images, 9 eyes on Pictor Plus images, and 3 eyes on Peek images, with poor agreement between cameras (e.g., no eyes graded as VCDR ≥ 0.6 on images from both the iNview and Pictor Plus). Conclusions Inter-rater reliability of VCDR grades from 3 handheld cameras was poor. Cameras did not agree on which eyes had large VCDRs.

Telemedicine for Screening and Follow-Up of Glaucoma: A Descriptive Study

Introduction: Glaucoma is a leading cause of irreversible blindness. It is a prevalent disease worldwide, affecting ∼70 million people and expected to reach up to 112 million by 2040. Purpose: The aim of this study is to describe the implementation and initial experience of a telemedicine program to monitor glaucoma and glaucoma suspect patients in a large, integrated health care system during the COVID-19 pandemic. Methods: A retrospective chart review of established glaucoma or glaucoma suspect patients who participated in a telemedicine evaluation at the ophthalmic center of a large, Colombian health care system between June 2020 and April 2023 was conducted. Clinical and sociodemographic variables were analyzed. Generated clinical orders for additional testing, surgical procedures, follow-ups, and referrals, as well as changes in medical treatment, were evaluated. Results: A total of 11,034 telemedicine consults were included. The mean ± standard deviation age of this group was 63 ± 17.2 years and 67% were female. Of the patients who attended teleconsults, 49% were glaucoma suspects and 38.5% were followed with a diagnosis of open-angle glaucoma. After the consult, 25% of patients were referred to a glaucoma specialist, 40% had additional testing ordered, and 8% had a surgical procedure ordered, mainly laser iridotomy (409 cases). Almost a third of patients returned for subsequent telemedicine visits after the initial encounter. Despite some technical difficulties, 99.8% of patients attended and completed their scheduled telemedicine appointments. Conclusions: A telemedicine program aimed to monitor established glaucoma patients can be successfully implemented. Established patients within an integrated health care system have high adherence to the virtual model. Further research by health care institutions and government agencies will be key to expand coverage to additional populations. Clinical Trial Registration Number: CEIFUS 1026-24.

Manhattan Vision Screening and Follow-Up Study (NYC-SIGHT): optometric exam improves access and utilization of eye care services

PURPOSE

To describe the benefits of optometric evaluation for detection of vision-affecting conditions in the context of community-based eye health screenings and identify factors associated with having a recent dilated eye exam.

METHODS

Enrolled participants were age 40 and older, living independently in affordable housing developments in New York City. Eye health screening failure and criteria for seeing the on-site study optometrist were defined as visual acuity 20/40 or worse in either eye, intraocular pressure 23-29 mmHg, or an unreadable fundus image. The optometrist conducted a manifest refraction using loose lenses and used a portable slit lamp and ophthalmoscope to perform a non-dilated anterior and posterior segment ocular health evaluation. Demographics, social determinants of health, eye health screening results, and rates of suspected ophthalmic conditions were recorded. To determine factors associated with having a recent dilated eye exam, which was the main outcome for this statistical analysis, a stepwise multivariate logistic regression was performed.

RESULTS

A total of 708 participants were screened, 308 attended the optometric exam; mean age 70.7 ± 11.7 [standard deviation (SD)] years. Among this subgroup, 70.1% identified as female, 54.9% self-identified as African American, 39% as Hispanic/Latino, and 26.6% Dominican ethnicity; 78.2% (241/308) had not undergone a dilated eye exam within the last year, 71.4% reported they did not have an eye care provider. Stepwise multivariate logistic regression analysis indicated that participants who self-reported having cataracts (odds ratio (OR) 2.15; 95% confidence interval (CI) 1.03-4.47; p = 0.041), self-reported having glaucoma/glaucoma suspect (OR 5.60; 95% CI 2.02-15.43; p = 0.001), or spoke Spanish as their primary language (OR 3.25; 95% CI 1.48-7.11; p = 0.003) had higher odds of having a recent dilated eye exam.

CONCLUSIONS

This community-based screening initiative demonstrated the effectiveness of optometric exams in detecting vision-affecting conditions and identified factors associated with having a recent dilated eye exam. Optometrists play a vital role in increasing access to eye care for high-risk, underserved populations.

TRIAL REGISTRATION

ClinicalTrials.gov (NCT04271709).

Manhattan Vision Screening and Follow-Up Study: (NYC-SIGHT)Tele-Retinal Image Findings and Importance of Photography

Purpose: To describe tele-retinal abnormality image findings from the Manhattan Vision Screening and Follow-up Study (NYC-SIGHT), which aims to investigate whether community-based eye health outreach strategies using telemedicine can improve visual outcomes among at-risk populations in Upper Manhattan. Methods: A 5-year prospective, cluster-randomized clinical trial was conducted. Eligible individuals aged 40 years and older were recruited from affordable housing developments and senior centers in New York City. Participants underwent on-site eye health screening (best-corrected visual acuity, intraocular pressure [IOP] measurements, and fundus photography). Fundus images were graded via telemedicine by a retina specialist. Multivariate logistic regression modeling was used to assess the factors associated with abnormal retinal findings requiring referral to ophthalmology. Results: Participants with a retinal abnormality on fundus photography (n = 157) were predominantly older adults, with a mean age of 68.4 ± 11.1 years, female (63.7%), African American (50.3%), and Hispanic (43.3%). A total of 32 participants in our study passed the vision and IOP screening but had an abnormal retinal image and ocular pathology that would have been missed without fundus photography. Individuals who self-identified as having preexisting glaucoma (odds ratio [OR] = 3.749, 95% confidence interval [CI] = 1.741-8.074, p = 0.0001) and had severe vision impairment (OR = 4.1034, 95% CI = 2.0740-8.1186, p = 0.000) at the screening had significantly higher odds of having an abnormal retinal image. Conclusion: This community-based study targeted populations at-risk for eye disease, improved access to eye care, detected a significant number of retinal image abnormalities requiring follow-up by using telemedicine, and provided evidence of the importance of fundus photography during eye health screenings. CTR number: NCT04271709.

Manhattan Vision Screening and Follow-Up Study (NYC-SIGHT): Subanalysis of Referral to Ophthalmology

PURPOSE

The Manhattan Vision Screening and Follow-up Study aims to provide access to eye care for underserved populations, detect native rates of ocular pathology, and refer participants with eye disease to ophthalmology. This subanalysis describes the reasons for referral to ophthalmology and identifies risk factors associated with being referred.

METHODS

Enrolled participants were aged ≥40 years, living independently in public housing developments and able to provide consent for eye health screenings. Those with habitual visual acuity 20/40 or worse, intraocular pressure (IOP) 23-29 mmHg, or an unreadable fundus image failed and were scheduled with the on-site optometrist. The optometric exam determined whether further referral to ophthalmology for a clinic exam was warranted. Those with an abnormal image or IOP ≥30 mmHg were referred directly to ophthalmology. Main outcome was factors associated with referral to ophthalmology.

RESULTS

A total of 708 individuals completed the eye health screening over 15 months. A total of 468 participants were referred to ophthalmology (250 had an abnormal image and 218 were referred by the optometrist). Those referred were predominantly older adults (mean age 70.0 ± 11.4 years), female (66.7%), African American (55.1%) and Hispanic (39.5%). Seventy percent of participants had not had a recent eye exam. Stepwise multivariate logistic regression analysis showed that participants with pre-existing glaucoma (OR 3.14, 95% CI 1.62 to 6.08, p = 0.001), an IOP ≥23 mmHg (OR 5.04, 95% 1.91 to 13.28, p = 0.001), or vision impairment (mild) (OR 2.51, 95% CI 1.68 to 3.77, p = 0.001) had significantly higher odds of being referred to ophthalmology.

CONCLUSION

This targeted community-based study in Upper Manhattan provided access to eye care and detected a significant amount of ocular pathology requiring referral to ophthalmology in this high-risk population.

Early diagnostics and interventional glaucoma

The glaucoma treatment paradigm is starting to change from a more reactive approach that relies on topical medications to a more proactive approach that leverages procedural interventions. This evolution toward interventional glaucoma has been enabled by a growing array of lower-risk minimally invasive procedures such as laser trabeculoplasty, minimally invasive glaucoma surgery, and procedural pharmaceuticals. A common feature of these glaucoma interventions-as with all glaucoma interventions-is the need for early, prompt, and accurate diagnosis. The present review summarizes new and upcoming developments in glaucoma diagnostics. These include technologies and techniques for home-based intraocular pressure measurement, novel visual field platforms, photography- and optical coherence tomography-based visualization, and artificial intelligence applications. They also include emerging technologies such as mitochondrial flavoprotein fluorescence imaging, detection of apoptosing retinal cells, collector channel visualization, and genetic testing. These diagnostic modalities have the potential to circumvent the limitations of traditional diagnostic methods. By increasing the frequency and feasibility of obtaining valuable glaucoma data with more rapid detection of disease and progression, these diagnostics may enable an interventional approach to glaucoma treatment for the betterment of patient care.

Impact of a short online course on the accuracy of non-ophthalmic diabetic retinopathy graders in recognising glaucomatous optic nerves in Vietnam

PURPOSE

To test an online training course for non-ophthalmic diabetic retinopathy (DR) graders for recognition of glaucomatous optic nerves in Vietnam.

METHODS

This was an uncontrolled, experimental, before-and-after study in which 43 non-ophthalmic DR graders underwent baseline testing on a standard image set, completed a self-paced, online training course and were retested using the same photographs presented randomly. Twenty-nine local ophthalmologists completed the same test without the training course. DR graders then underwent additional one-to-one training by a glaucoma specialist and were retested. Test performance (% correct, compared with consensus grades from four fellowship-trained glaucoma experts), sensitivity, specificity, positive and negative predictive value, and area under the receiver operating (AUC) curve, were computed.

RESULTS

Mean age of DR graders (32.6±5.5 years) did not differ from ophthalmologists (32.3±7.3 years, p=0.13). Online training required a mean of 297.9 (SD 144.6) minutes. Graders' mean baseline score (33.3%±14.3%) improved significantly after training (55.8%±12.6%, p<0.001), and post-training score did not differ from ophthalmologists (58.7±15.4%, p=0.384). Although grader sensitivity reduced before [85.5% (95% CI 83.5% to 87.3%)] versus after [80.4% (78.3% to 82.4%)] training, specificity improved significantly [47.8 (44.9 to 50.7) vs 79.8 (77.3 to 82.0), p<0.001]. Grader AUC also improved after training [66.6 (64.9 to 68.3)] to [80.1 (78.5 to 81.6), p<0.001]. Additional one-to-one grader training by a glaucoma specialist did not further improve grader scores.

CONCLUSION

Non-ophthalmic DR graders can be trained to recognise glaucoma using a short online course in this setting, with no additional benefit from more expensive one-to-one training. After 5-hour online training in recognising glaucomatous optic nerve head, scores of non-ophthalmic DR graders doubled, and did not differ from local ophthalmologists. Intensive one-to-one training did not further improve performance.

Identifying, Understanding, and Addressing Disparities in Glaucoma Care in the United States

Glaucoma is the leading cause of irreversible blindness worldwide, currently affecting around 80 million people. Glaucoma prevalence is rapidly rising in the United States due to an aging population. Despite recent advances in the diagnosis and treatment of glaucoma, significant disparities persist in disease detection, management, and outcomes among the diverse patient populations of the United States. Research on disparities is critical to identifying, understanding, and addressing societal and healthcare inequalities. Disparities research is especially important and impactful in the context of irreversible diseases such as glaucoma, where earlier detection and intervention are the primary approach to improving patient outcomes. In this article, we first review recent studies identifying disparities in glaucoma care that affect patient populations based on race, age, and gender. We then review studies elucidating and furthering our understanding of modifiable factors that contribute to these inequities, including socioeconomic status (particularly age and education), insurance product, and geographic region. Finally, we present work proposing potential strategies addressing disparities in glaucoma care, including teleophthalmology and artificial intelligence. We also discuss the presence of non-modifiable factors that contribute to differences in glaucoma burden and can confound the detection of glaucoma disparities.

Translational Relevance

By recognizing underlying causes and proposing potential solutions, healthcare providers, policymakers, and other stakeholders can work collaboratively to reduce the burden of glaucoma and improve visual health and clinical outcomes in vulnerable patient populations.

The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from "Nice to Have" to Mandatory Systems

The success of artificial intelligence depends on whether it can penetrate the boundaries of evidence-based medicine, the lack of policies, and the resistance of medical professionals to its use. The failure of digital health to meet expectations requires rethinking some of the challenges faced. We discuss some of the most significant challenges faced by patients, physicians, payers, pharmaceutical companies, and health systems in the digital world. The goal of healthcare systems is to improve outcomes. Assisting in diagnosing, collecting data, and simplifying processes is a "nice to have" tool, but it is not essential. Many of these systems have yet to be shown to improve outcomes. Current outcome-based expectations and economic constraints make "nice to have," "assists," and "ease processes" insufficient. Complex biological systems are defined by their inherent disorder, bounded by dynamic boundaries, as described by the constrained disorder principle (CDP). It provides a platform for correcting systems' malfunctions by regulating their degree of variability. A CDP-based second-generation artificial intelligence system provides solutions to some challenges digital health faces. Therapeutic interventions are held to improve outcomes with these systems. In addition to improving clinically meaningful endpoints, CDP-based second-generation algorithms ensure patient and physician engagement and reduce the health system's costs.

Estimating the Length of the Preclinical Detectable Phase for Open-Angle Glaucoma

Importance

A 50% reduction of glaucoma-related blindness has previously been demonstrated in a population that was screened for open-angle glaucoma. Ongoing screening trials of high-risk populations and forthcoming low-cost screening methods suggest that such screening may become more common in the future. One would then need to estimate a key component of the natural history of chronic disease, the mean preclinical detectable phase (PCDP). Knowledge of the PCDP is essential for the planning and early evaluation of screening programs and has been estimated for several types of cancer that are screened for.

Objective

To estimate the mean PCDP for open-angle glaucoma.

Design, Setting, and Participants

A large population-based screening for open-angle glaucoma was conducted from October 1992 to January 1997 in Malmö, Sweden, including 32 918 participants aged 57 to 77 years. A retrospective medical record review was conducted to assess the prevalence of newly detected cases at the screening, incidence of new cases after the screening, and the expected clinical incidence, ie, the number of new glaucoma cases expected to be detected without a screening. The latter was derived from incident cases in the screened age cohorts before the screening started and from older cohorts not invited to the screening. A total of 2029 patients were included in the current study. Data were analyzed from March 2020 to October 2021.

Main Outcomes and Measures

The length of the mean PCDP was calculated by 2 different methods: first, by dividing the prevalence of screen-detected glaucoma with the clinical incidence, assuming that the screening sensitivity was 100% and second, by using a Markov chain Monte Carlo (MCMC) model simulation that simultaneously derived both the length of the mean PCDP and the sensitivity of the screening.

Results

Of 2029 included patients, 1352 (66.6%) were female. Of 1420 screened patients, the mean age at screening was 67.4 years (95% CI, 67.2-67.7). The mean length of the PCDP of the whole study population was 10.7 years (95% CI, 8.7-13.0) by the prevalence/incidence method and 10.1 years (95% credible interval, 8.9-11.2) by the MCMC method.

Conclusions and Relevance

The mean PCDP was similar for both methods of analysis, approximately 10 years. A mean PCDP of 10 years found in the current study allows for screening with reasonably long intervals, eg, 5 years.

A Smartphone-Based Near-Vision Testing System: Design, Accuracy, and Reproducibility Compared With Standard Clinical Measures

BACKGROUND AND OBJECTIVE

Ophthalmologic telemedicine has emerged during the COVID-19 pandemic. The objective of this study is to assess the accuracy and reproducibility of a smartphone-based home vision monitoring system (Sightbook) and to compare it with existing clinical standards.

PATIENTS AND METHODS

Near Snellen visual acuity (VA) was measured with Sightbook and compared with conventional measurements for distance and near VA at an academic medical center ophthalmology clinic in 200 patients with a variety of different specified preexisting ocular conditions. Measurements of contrast sensitivity were also compared by using an existing commercially available chart system in 15 normal patients and 15 patients with age-related macular degeneration.

RESULTS

Sightbook VA tests were reproducible (SD = ±0.054 logMAR), and correlation with standard VA methods was significant (R > 0.87 and P < .001). Sightbook contrast sensitivity measurements were reproducible (SD/mean ratio, 0.02 to 0.04), yielding results similar to those of standard tests (R2 > 0.87 and P < .001).

CONCLUSIONS

Smartphone-based VA and contrast sensitivity are highly correlated with standard charts and may be useful in augmenting limited inoffice care. [Ophthalmic Surg Lasers Imaging Retina. 2022;53:79-84.].

Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review

Background

Disease prevention is a central aspect of primary care practice and is comprised of primary (eg, vaccinations), secondary (eg, screenings), tertiary (eg, chronic condition monitoring), and quaternary (eg, prevention of overmedicalization) levels. Despite rapid digital transformation of primary care practices, digital health interventions (DHIs) in preventive care have yet to be systematically evaluated.

Objective

This review aimed to identify and describe the scope and use of current DHIs for preventive care in primary care settings.

Methods

A scoping review to identify literature published from 2014 to 2020 was conducted across multiple databases using keywords and Medical Subject Headings terms covering primary care professionals, prevention and care management, and digital health. A subgroup analysis identified relevant studies conducted in US primary care settings, excluding DHIs that use the electronic health record (EHR) as a retrospective data capture tool. Technology descriptions, outcomes (eg, health care performance and implementation science), and study quality as per Oxford levels of evidence were abstracted.

Results

The search yielded 5274 citations, of which 1060 full-text articles were identified. Following a subgroup analysis, 241 articles met the inclusion criteria. Studies primarily examined DHIs among health information technologies, including EHRs (166/241, 68.9%), clinical decision support (88/241, 36.5%), telehealth (88/241, 36.5%), and multiple technologies (154/241, 63.9%). DHIs were predominantly used for tertiary prevention (131/241, 54.4%). Of the core primary care functions, comprehensiveness was addressed most frequently (213/241, 88.4%). DHI users were providers (205/241, 85.1%), patients (111/241, 46.1%), or multiple types (89/241, 36.9%). Reported outcomes were primarily clinical (179/241, 70.1%), and statistically significant improvements were common (192/241, 79.7%). Results were summarized across the following 5 topics for the most novel/distinct DHIs: population-centered, patient-centered, care access expansion, panel-centered (dashboarding), and application-driven DHIs. The quality of the included studies was moderate to low.

Conclusions

Preventive DHIs in primary care settings demonstrated meaningful improvements in both clinical and nonclinical outcomes, and across user types; however, adoption and implementation in the US were limited primarily to EHR platforms, and users were mainly clinicians receiving alerts regarding care management for their patients. Evaluations of negative results, effects on health disparities, and many other gaps remain to be explored.

[Artificial intelligence and glaucoma: A literature review]

In recent years, research in artificial intelligence (AI) has experienced an unprecedented surge in the field of ophthalmology, in particular glaucoma. The diagnosis and follow-up of glaucoma is complex and relies on a body of clinical evidence and ancillary tests. This large amount of information from structural and functional testing of the optic nerve and macula makes glaucoma a particularly appropriate field for the application of AI. In this paper, we will review work using AI in the field of glaucoma, whether for screening, diagnosis or detection of progression. Many AI strategies have shown promising results for glaucoma detection using fundus photography, optical coherence tomography, or automated perimetry. The combination of these imaging modalities increases the performance of AI algorithms, with results comparable to those of humans. We will discuss potential applications as well as obstacles and limitations to the deployment and validation of such models. While there is no doubt that AI has the potential to revolutionize glaucoma management and screening, research in the coming years will need to address unavoidable questions regarding the clinical significance of such results and the explicability of the predictions.

Teaming-up nurses with ophthalmologists to expand the reach of eye care in a middle-income country: Validation of health data acquisition by nursing staff in a telemedicine strategy

Telemedicine can be used to conduct ophthalmological assessment of patients, facilitating patient access to specialist care. Since the teleophthalmology models require data collection support from other health professionals, the purpose of our study was to assess agreement between the nursing technician and the ophthalmologist in acquisition of health parameters that can be used for remote analysis as part of a telemedicine strategy. A cross-sectional study was conducted with 140 patients referred to an ophthalmological telediagnosis center by primary healthcare doctors. The health parameters evaluated were visual acuity (VA), objective ophthalmic measures acquired by autorefraction, keratometry, and intraocular pressure (IOP). Bland-Altman plots were used to analyze agreement between the nursing technician and the ophthalmologist. The Bland-Altman analysis showed a mean bias equal to zero for the VA measurements [95%-LoA: -0.25–0.25], 0.01 [95%-LoA: -0.86–0.88] for spherical equivalent (M), -0.08 [95%-LoA: -1.1–0.95] for keratometry (K) and -0.23 [95%-LoA: -4.4–4.00] for IOP. The measures had a high linear correlation (R [95%CI]: 0.87 [0.82–0.91]; 0.97 [0.96–0.98]; 0.96 [0.95–0.97] and 0.88 [0.84–0.91] respectively). The results observed demonstrate that remote ophthalmological data collection by adequately trained health professionals is viable. This confirms the utility and safety of these solutions for scenarios in which access to ophthalmologists is limited.

An Initiative to Improve Follow-up of Patients with Glaucoma

Purpose

This study describes the implementation of an electronic medical record (EMR)-based initiative aimed at reducing the number of patients with glaucoma-related diagnoses lost to follow-up (LTF) and reviews its short-term outcomes.

Design

Retrospective, comparative case series.

Participants

Patients with glaucoma-related diagnoses seen 1 year prior at the Lahey Medical Center and who had not returned within the 6-month period between January 1, 2020, and June 30, 2020, which spanned the outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic in the United States.

Methods

An EMR-based tool was designed to identify patients suspected of being LTF with glaucoma-related diagnoses. Providers were enlisted to review the EMR for each of these patients and re-engage them, as appropriate. One month later, the initiative was evaluated by means of a retrospective chart review. Binary logistic regression analysis was used to identify demographic, clinical, and sociomedical factors associated with being LTF.

Main Outcome Measures

Patients who completed a telemedicine or in-person appointment, or had a future scheduled or ordered return appointment, were considered re-engaged.

Results

Of the 3551 patients seen during the study period, 384 patients were identified as LTF (11%), with 60 identifying COVID-19 as the reason for canceling their visit (16%). Patients who lived farther from the eye clinic (P < 0.001) or who had a history of canceling or missing an appointment (P < 0.001) were more likely to be LTF. Patients with open-angle glaucoma (P = 0.042) or who had completed a visual field (P < 0.001) or ophthalmic imaging (P < 0.001) within the past year were less likely to be LTF. One month after the re-engagement initiative, 124 LTF patients (32%) had been re-engaged (40% through telemedicine), 238 patients (62%) had future scheduling orders in place, and 22 patients (6%) had no active plan for future follow-up.

Conclusions

An EMR-based tool is an effective method for identifying patients at risk of being LTF and provides an opportunity for providers to recall and re-engage patients. Use of telemedicine to recontact LTF patients shows promise of improving the management of glaucoma, enhancing clinical productivity, and documenting treatment plans, thereby potentially reducing medicolegal liability.

Manhattan Vision Screening and Follow-Up Study in Vulnerable Populations: 1-Month Feasibility Results

Purpose/Aim: In the United States, high rates of vision impairment and eye disease disproportionately impact those who lack access to eye care, specifically vulnerable populations. The objective of our study was to test instruments, implement protocols, and collect preliminary data for a larger 5-year study, which aims to improve detection of eye diseases and follow-up eye care in vulnerable populations using community health workers (CHW) and patient navigators. In the study, trained CHWs conducted vision screening and patient navigators scheduled on-site eye exams and arranged appointments for those referred to ophthalmology to improve adherence to follow-up eye care.Materials and Methods: Eligible individuals age 40-and-older were recruited from the Riverstone Senior Center in Upper Manhattan, New York City. Participants underwent on-site vision screening (visual acuity with correction, intraocular pressure measurements, and fundus photography). Individuals who failed the vision screening were scheduled with an on-site optometrist for an eye exam; those with ocular pathologies were referred to an ophthalmologist. Participants were also administered the National Eye Institute Visual Function Questionnaire-8 (NEI-VFQ-8) and Stopping Elderly Accidents, Deaths, and Injuries (STEADI) test by community health workers.Results:Participants (n = 42) were predominantly older adults, with a mean age of 70.0 ± 9.8, female (61.9%), and Hispanic (78.6%). Most individuals (78.6%, n = 33) failed vision screening. Of those who failed, 84.8% (n = 28) attended the on-site eye exam with the optometrist. Ocular diagnoses: refractive error 13/28 (46.4%), glaucoma/glaucoma suspect 9/28 (32.1%), cataract 7/28 (25.0%), retina abnormalities 6/28 (21.4%); 13 people required eyeglasses.Conclusion: This study demonstrates the feasibility of using CHWs and patient navigators for reducing barriers to vision screening and optometrist-based eye exams in vulnerable populations, ultimately improving early detection of eye disease and linking individuals to additional eye care appointments. The full five-year study aims to further examine these outcomes.

Lessons Learned from Two Large Community-Based Glaucoma Screening Studies

Community-based screening programs have had limited success in preventing vision loss from glaucoma due to overall low prevalence of glaucoma, screening limitations, and barriers to follow-up appointments. This editorial highlights lessons learned from two large prospective trials: the Philadelphia Telemedicine Glaucoma Detection and Follow-up Study (PTGDFS) and the Screening To Prevent Glaucoma Study (SToPGS). While some lessons are specific to ophthalmology, many lessons are applicable to screening for asymptomatic diseases in underserved, vulnerable communities.

Interobserver and Intertest Agreement in Telemedicine Glaucoma Screening with Optic Disk Photos and Optical Coherence Tomography

Purpose: To evaluate interobserver and intertest agreement between optical coherence tomography (OCT) and retinography in the detection of glaucoma through a telemedicine program. Methods: A stratified sample of 4113 individuals was randomly selected, and those who accepted underwent examination including visual acuity, intraocular pressure (IOP), non-mydriatic retinography, and imaging using a portable OCT device. Participants’ data and images were uploaded and assessed by 16 ophthalmologists on a deferred basis. Two independent evaluations were performed for all participants. Agreement between methods was assessed using the kappa coefficient and the prevalence-adjusted bias-adjusted kappa (PABAK). We analyzed potential factors possibly influencing the level of agreement. Results: The final sample comprised 1006 participants. Of all suspected glaucoma cases (n = 201), 20.4% were identified in retinographs only, 11.9% in OCT images only, 46.3% in both, and 21.4% were diagnosed based on other data. Overall interobserver agreement outcomes were moderate to good with a kappa coefficient of 0.37 and a PABAK index of 0.58. Higher values were obtained by experienced evaluators (kappa = 0.61; PABAK = 0.82). Kappa and PABAK values between OCT and photographs were 0.52 and 0.82 for the first evaluation. Conclusion: In a telemedicine screening setting, interobserver agreement on diagnosis was moderate but improved with greater evaluator expertise.

The Future Is Now: Incorporating Telemedicine into Glaucoma Care

Purpose of Review

The field of teleglaucoma has expanded rapidly in recent years with several large-scale teleglaucoma screening programs in existence throughout the world. Additionally, teleglaucoma programs for use in disease management are under study. The limited access to care that resulted from the COVID-19 pandemic highlighted the need for expansion of such programs. This article reviews the literature on teleglaucoma for screening and management of glaucoma, discussing considerations for incorporating teleglaucoma into clinical practice.

Recent Findings

Teleglaucoma screening reduces the rate of false-positive referrals and can accurately screen at-risk populations with accuracy similar to in-person screening. The use of teleglaucoma for the management of glaucoma shows promise for low-risk patients with early disease. Furthermore, teleglaucoma is cost-effective and reduces travel burden for patients resulting in high patient satisfaction.

Summary

Teleglaucoma offers potential for improving access to glaucoma care, reducing the burden on patients and health care systems.

Clinic-Based Eye Disease Screening Using Non-Expert Fundus Photo Graders at the Point of Screening: Diagnostic Validity and Yield

PURPOSE

The intent of this study was to determine the diagnostic accuracy of several diagnostic tests for age-related macular degeneration (AMD), diabetic retinopathy (DR), glaucoma, and cataract, as well as the proportions of patients with eye disease from each of 3 enrolling clinics.

DESIGN

Diagnostic accuracy study.

METHODS

Patients ≥50 years old in a diabetes, thyroid, and general medicine clinic were screened using visual acuity, tonometry, and fundus photography. Photographs were graded at the point-of-screening by non-ophthalmic personnel. Participants with positive screening test results in either eye and a 10% random sample with negative results in both eyes were referred for an in-person, reference-standard ophthalmology examination.

RESULTS

Of 889 participants enrolled, 229 participants failed at least 1 test in either eye, of which 189 presented for an ophthalmic examination. An additional 76 participants with completely normal screening test results were referred for examination, of which 50 attended. Fundus photography screening had the highest yield for DR (sensitivity: 67%; 95% confidence interval [CI]: 39%-87%), visual acuity screening for cataract (sensitivity: 89%; 95% CI: 86%-92%), and intraocular pressure screening for glaucoma or suspected glaucoma (sensitivity: 25%; 95% CI: 14%-40%). The burden of disease was relatively high in all 3 clinics, with at least 1 of the diseases of interest (ie, AMD, DR, glaucoma or suspected glaucoma, or cataract) detected in 25% of participants (95% CI: 17-35%) from the diabeteses clinic, 34% (95% CI: 22%-49%) from the thyroid clinic, and 21% (95% CI: 13%-32%) from the general clinic.

CONCLUSIONS

Non-expert eye disease screening in health clinics may be a useful model for detection of eye disease in resource-limited settings.

Anterior Segment and Others in Teleophthalmology: Past, Present, and Future

ABSTRACT

Teleophthalmology, a subfield of telemedicine, has recently been widely applied in ophthalmic disease management, accelerated by ubiquitous connectivity via mobile computing and communication applications. Teleophthalmology has strengths in overcoming geographic barriers and broadening access to medical resources, as a supplement to face-to-face clinical settings. Eyes, especially the anterior segment, are one of the most researched superficial parts of the human body. Therefore, ophthalmic images, easily captured by portable devices, have been widely applied in teleophthalmology, boosted by advancements in software and hardware in recent years. This review aims to revise current teleophthalmology applications in the anterior segment and other diseases from a temporal and spatial perspective, and summarize common scenarios in teleophthalmology, including screening, diagnosis, treatment, monitoring, postoperative follow-up, and tele-education of patients and clinical practitioners. Further, challenges in the current application of teleophthalmology and the future development of teleophthalmology are discussed.

A Randomized Trial to Improve Adherence to Follow-up Eye Examinations Among People With Glaucoma

INTRODUCTION

Appointment nonadherence is common among people with glaucoma, making it difficult for eye care providers to monitor glaucoma progression. Our objective was to determine whether the use of patient navigators, in conjunction with social worker support, could increase adherence to recommended follow-up eye appointments.

METHODS

A randomized, controlled trial evaluated the effectiveness of an intervention that used patient navigators and social workers to improve patient adherence to follow-up eye care compared with usual care. Participants with glaucoma and other eye diseases (N = 344) were identified at primary care clinics in community settings through telemedicine screening of imaging and then randomized to enhanced intervention (EI) or usual care (UC). Data on participants' visits with local ophthalmologists were collected for up to 3 years from randomization. Groups were compared for timely attendance at the first visit with the local ophthalmologist and adherence to recommended follow-up visits.

RESULTS

Timely attendance at the first visit was higher for EI than UC (74.4% vs 39.0%; average relative risk [aRR] = 1.85; 95% CI, 1.51-2.28; P < .001). Rates of adherence to recommended annual follow-up during year 1 were 18.6% in the EI group and 8.1% in the usual care group (aRR = 2.08; 95% CI, 1.14-3.76; P = .02). The aRR across years 2 and 3 was 3.92 (95% CI, 1.24-12.43; P = .02).

CONCLUSION

An intervention using patient navigators and social workers doubled the rate of adherence to annual recommended follow-up eye care compared with usual care in community settings, and was effective at increasing connections with local ophthalmologists. Interventions to further improve long-term adherence are needed.

Teleophthalmology Screening for Early Detection of Ocular Diseases in Underserved Populations in Israel

Background: The purpose of this study was to investigate the feasibility and effectiveness of an innovative telemedicine community-based intervention to increase detection of previously undiagnosed ocular diseases in high-risk populations in Israel. Methods: A team comprising an ocular technician, a project manager, and a driver was sent to underserved areas in Israel. Patient demographics, ocular, and medical information were recorded. Visual acuity (VA), intraocular pressure and fundus photographs were obtained. The data were transferred to the Ophthalmology Reading Center in Tel-Aviv Medical Center, where it was interpreted by an ophthalmologist. A letter was sent to the patients indicating examination results. It instructed them to return for a follow-up examination if indicated. Results: A total of 124 individuals underwent telemedicine remote screening examinations in 10 locations. The mean age was 79.9 ± 7.2 years, with female predominance of 67%. The major pathologies detected were (1) reduction in VA >6/12 in at least one eye (n = 48, 38.7%); (2) glaucoma suspicion in the optic disk (n = 18, 14.5%); (3) ocular hypertension >21 mmHg (n = 15, 12.1%); (4) age-related macular degeneration (AMD; n = 15, 12.1%); (5) diabetic retinopathy (n = 6, 4.8%); (6) visually significant cataract (n = 6, 4.8%); and (7) other pathologies (n = 11, 8.9%); 97.7% of the patients reported high satisfaction rates (they were satisfied or very satisfied from the project model). Conclusions: Our pilot telemedicine screening project effectively detected ocular diseases in underserved areas in Israel and helped improve access to eye care. This project has the potential of reaching a national level, allow for early diagnosis, and prevent vision loss and blindness in underserved areas.

Manhattan Vision Screening and Follow-up Study in Vulnerable Populations (NYC-SIGHT): Design and Methodology

PRCIS

The Manhattan Vision Screening and Follow-up Study in Vulnerable Populations is a 5-year prospective, cluster-randomized study to improve detection and management of glaucoma and other eye diseases in vulnerable populations living in affordable housing developments.

PURPOSE

To describe the study design and methodology of the Manhattan Vision Screening and Follow-up Study in Vulnerable Populations, which aims to investigate whether community-based vision screenings can improve detection and management of glaucoma, vision impairment, cataract, and other eye diseases among vulnerable populations living in affordable housing developments in upper Manhattan.

MATERIALS AND METHODS

This 5-year prospective, cluster-randomized, controlled trial consists of vision screening and referral for follow-up eye care among eligible residents aged 40 and older. Visual acuity, intraocular pressure (IOP), and fundus photography are measured. Participants with visual worse than 20/40, or IOP 23 to 29 mm Hg, or unreadable fundus images fail the screening and are scheduled with the on-site optometrist. Those with an abnormal image and/or IOP ≥30 mm Hg, are assigned as "fast-track" and referred to ophthalmology. Participants living in 7 developments randomized to the Enhanced Intervention Group who fail the screening and need vision correction receive complimentary eyeglasses. Those referred to ophthalmology receive enhanced support with patient navigators to assist with follow-up eye care. Participants living in 3 developments randomized to the Usual Care Group who fail the screening and need vision correction are given an eyeglasses prescription only and a list of optical shops. No enhanced support is given to the Usual Care Group. All participants referred to ophthalmology are assisted in making their initial eye exam appointment.

CONCLUSION

This study targets vulnerable populations where they live to ensure improved access to and utilization of eye care services in those who are least likely to seek eye care.

Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective

The simultaneous maturation of multiple digital and telecommunications technologies in 2020 has created an unprecedented opportunity for ophthalmology to adapt to new models of care using tele-health supported by digital innovations. These digital innovations include artificial intelligence (AI), 5th generation (5G) telecommunication networks and the Internet of Things (IoT), creating an inter-dependent ecosystem offering opportunities to develop new models of eye care addressing the challenges of COVID-19 and beyond. Ophthalmology has thrived in some of these areas partly due to its many image-based investigations. Tele-health and AI provide synchronous solutions to challenges facing ophthalmologists and healthcare providers worldwide. This article reviews how countries across the world have utilised these digital innovations to tackle diabetic retinopathy, retinopathy of prematurity, age-related macular degeneration, glaucoma, refractive error correction, cataract and other anterior segment disorders. The review summarises the digital strategies that countries are developing and discusses technologies that may increasingly enter the clinical workflow and processes of ophthalmologists. Furthermore as countries around the world have initiated a series of escalating containment and mitigation measures during the COVID-19 pandemic, the delivery of eye care services globally has been significantly impacted. As ophthalmic services adapt and form a "new normal", the rapid adoption of some of telehealth and digital innovation during the pandemic is also discussed. Finally, challenges for validation and clinical implementation are considered, as well as recommendations on future directions.

Alabama Screening and Intervention for Glaucoma and Eye Health Through Telemedicine (AL-SIGHT): Study Design and Methodology

PRCIS

This paper presents the methods and protocol of a community-based telemedicine program to identify glaucoma and other eye diseases.

PURPOSE

To describe the study rationale and design of the Alabama Screening and Intervention for Glaucoma and eye Health through Telemedicine project.

METHODS

The study will implement and evaluate a telemedicine-based detection strategy for glaucoma, diabetic retinopathy, and other eye diseases in at-risk patients seen at federally qualified health centers located in rural Alabama. The study will compare the effectiveness of the remote use of structural and functional ocular imaging devices to an in-person examination. Study participants will receive a remote ocular assessment consisting of visual acuity, intraocular pressure, visual field testing, and imaging of the retina and optic nerve with spectral-domain optical coherence tomography, and the data will be reviewed by an ophthalmologist and optometrist. It will also compare the effectiveness of financial incentives along with a validated patient education program versus a validated patient education program alone in improving follow-up adherence. Finally, cost and cost-effectiveness analyses will be performed on the telemedicine program compared with standard in-person care using effectiveness measured in numbers of detected eye disease cases.

CONCLUSIONS

The study aims to develop a model eye health system using telemedicine to prevent vision loss and address eye health among underserved and at-risk populations.

Michigan Screening and Intervention for Glaucoma and Eye Health Through Telemedicine (MI-SIGHT): Baseline Methodology for Implementing and Assessing a Community-based Program

PRECIS

The Michigan Screening and Intervention for Glaucoma and eye Health through Telemedicine (MI-SIGHT) program leverages community-engaged research, telemedicine, and health coaching to overcome key logistical and psychosocial barriers to improve glaucoma screening in underserved communities.

PURPOSE

To describe the methodology of the implementation and evaluation of the MI-SIGHT Program.

METHODS

The MI-SIGHT Program uses community engagement, telemedicine, and health coaching to overcome key logistical and psychosocial barriers to glaucoma identification and care among underserved populations. The MI-SIGHT Program will be evaluated in 2 community clinics: Hamilton Community Health Network, a federally qualified health center in Flint, Michigan, and the Hope Clinic, a free clinic in Ypsilanti, Michigan. A Community Advisory Board including the research team and health care providers, administrators, and patients from both clinics will guide program implementation. An ophthalmic technician at the community clinics will conduct screening tests for glaucoma and eye disease. The data will be transmitted through electronic health record to be reviewed by an ophthalmologist who will make recommendations for follow-up care. The ophthalmic technician will conduct a return visit to fit low-or no-cost glasses, help arrange follow-up with an ophthalmologist, and provide education. Those diagnosed with glaucoma or suspected glaucoma will be randomized to standard education or personalized glaucoma education and coaching. Costs will be assessed.

RESULTS

The authors hypothesize that the MI-SIGHT Program will detect a higher prevalence rate of glaucoma than that found in the general population, improve upon presenting visual acuity, enhance vision-related quality of life, and demonstrate that personalized glaucoma education and coaching improve adherence to follow-up care.

CONCLUSION

The MI-SIGHT Program may serve as a model for glaucoma screening and care in high-risk communities.

Teleglaucoma Initiative at a Veterans Affairs Hospital: Pilot Safety Data and Early Experience

PURPOSE

To evaluate the safety, reliability, and efficacy of telemedicine in delivering tertiary subspecialty glaucoma care (herein referred to as teleglaucoma) to the veteran patient population.

DESIGN

Prospective case series.

PARTICIPANTS

Twenty patients being referred for glaucoma subspecialist opinion participated in the pilot safety study. One hundred eighteen patients participated in the secondary study of the acceptability and service efficacy of teleglaucoma.

METHODS

In the pilot study, safety was assessed by determining interobserver and intraobserver consistency (Krippendorff's α). This compared an in-person assessment by a glaucoma subspecialist with the remote assessment of 2 other glaucoma subspecialists (electronic health record alone reviewed). In the secondary study, teleglaucoma was implemented whereby testing and eye examination were carried out remotely by an optometrist or comprehensive ophthalmologist, and the clinical decision was made by the glaucoma subspecialist on review of the electronic health record alone.

MAIN OUTCOME MEASURES

In the pilot study, interobserver and intraobserver consistency in making a diagnosis and treatment plan (acceptable, ≥ 0.80 Krippendorff's α). In the secondary study, patient satisfaction measured by survey, wait time for teleglaucoma opinion versus wait time for in-person opinion, and time spent on teleglaucoma consultations.

RESULTS

Interobserver and intraobserver consistency showed an α of 0.86 and 0.92, respectively, for diagnosis, and 0.86 and 0.85, respectively, for treatment plan. In the secondary study, patient satisfaction was 4.55 of 5.00 (5 = maximum satisfaction; range, 3.28-4.93). Improved consultation lead time was demonstrated, with the median time for a doctor to respond to an electronic consultation being 3 days, versus 43 days for an in-person visit. Teleglaucoma also demonstrated positive benefits to the health care system by reducing the time doctors spent reviewing each patient's case (history, examination findings, imaging results, visual fields; 19 minutes for teleglaucoma consultation vs. 31 minutes for in-person evaluation).

CONCLUSIONS

Decisions regarding diagnoses and treatment plans between in-person consultation and the teleglaucoma program showed high reliability. Patient satisfaction was high. Additional benefits were observed in wait time for subspecialty glaucoma opinion, efficient allocation of the doctor's time, and fiscal benefit to the health care system.

A review on the use of telemedicine in glaucoma and possible roles in COVID-19 outbreak

We review the use of telemedicine in glaucoma and its possible roles in the COVID-19 outbreak. We performed a literature search of published human studies on teleglaucoma on May 12, 2020, using search terms including “telemedicine” and “glaucoma” that were in English and published over the prior 10 years. This search strategy yielded a total of 14 relevant articles after manual curation. Of the 14 articles, 4 were from the same randomized control trial, 7 were prospective studies, 2 were retrospective studies, 1 was descriptive analysis, and 1 was cost-effective analysis. Seven discussed the common ophthalmologic measurements used in teleglaucoma. Four demonstrated the cost effectiveness of the use of teleglaucoma, and 3 articles investigated patient satisfaction with the use of teleglaucoma. Three articles investigated the correlation between teleglaucoma and face-to-face clinics. Five articles discussed the current use and opportunities of teleglaucoma.

When compared to in-person care, teleglaucoma is more time and cost-effective, shows high patient satisfaction and fair to good agreement with in-person care; however, there is great variation in the reported sensitivity of glaucoma screening, warranting further studies to establish its efficacy. For glaucoma management, both the sensitivity and specificity must be further improved before it could be put into extensive use. Nevertheless, it is worthwhile to explore the possible extensive application of teleglaucoma in monitoring “glaucoma suspects” and maintaining glaucoma follow-up during a pandemic outbreak to reduce the risk of transmission of infection.

Detecting Glaucoma in Rural Kenya: Results From a Teleglaucoma Pilot Project in Nyamira, Kenya

PRECIS

A teleglaucoma (TG) case-finding model was used in Kenya. Of the patients, 3.46% had definite glaucoma and 4.12% were glaucoma suspects. Most cases were of moderate to advanced stage and referred for further assessment.

PURPOSE

The aim was to evaluate glaucoma prevalence in a high-risk population using a TG model.

METHODS

Patients aged 35 or over were referred to the TG program from the outpatient diabetic and hypertensive clinics at Nyamira District Hospital (NDH) and from community awareness programs. Comprehensive ophthalmic examination included structured history, visual acuity, intraocular pressure, central corneal thickness, stereoptic nerve, and macular images. A glaucoma specialist provided diagnosis and management recommendation through virtual consultation. Glaucoma diagnosis and staging were based on at least 1 eye meeting the optic nerve criteria as specified by the Canadian glaucoma guidelines.

RESULTS

In all, 1206 participants were seen and 19 of these could not complete the examination. Of 1187 patients, 56% were women and the mean age was 56.60±12.36 years. Of the patients, 11.8% had images that were ungradable in at least 1 eye. The prevalence of glaucoma and glaucoma suspects was 3.46% (n=42) and 4.12% (n=50), respectively. The proportion of patients with early, moderate, advanced, and absolute glaucoma was 2.4%, 33.3%, 52.4%, and 2.4%, respectively. Other diagnoses (pathology in at least 1 eye) included cataract in 13.2%, diabetic retinopathy in 1.48%, and optic atrophy in 1.98%. Of the patients, 28.2% were referred to the Innovation Eye Centre, Kisii, for further assessment.

CONCLUSION

A structured TG program detected glaucoma in 3.46% of a rural Kenyan population. Timely patient referral was also initiated.

Challenges and opportunities of digital health in a post-COVID19 world

Digital health as a rapidly growing medical field relies comprehensively on human health data. Conventionally, the collection of health data is mediated by officially diagnostic instruments, operated by health professionals in clinical environments and under strict regulatory conditions. Mobile health, telemedicine, and other smart devices with Internet connections are becoming the future choices for collecting patient information. Progress of technologies has facilitated smartphones, wearable devices, and miniaturized health-care devices. These devices allow the gathering of an individual's health-care information at the patient's home. The data from these devices will be huge, and by integrating such enormous data using Artificial Intelligence, more detailed phenotyping of disease and more personalized medicine will be realistic. The future of medicine will be progressively more digital, and recognizing the importance of digital technology in this field and pandemic preparedness planning has become urgent.

Deep-learning-based enhanced optic-disc photography

Optic-disc photography (ODP) has proven to be very useful for optic nerve evaluation in glaucoma. In real clinical practice, however, limited patient cooperation, small pupils, or media opacities can limit the performance of ODP. The purpose of this study was to propose a deep-learning approach for increased resolution and improved legibility of ODP by contrast, color, and brightness compensation. Each high-resolution original ODP was transformed into two counterparts: (1) down-scaled ‘low-resolution ODPs’, and (2) ‘compensated high-resolution ODPs’ produced via enhancement of the visibility of the optic disc margin and surrounding retinal vessels using a customized image post-processing algorithm. Then, the differences between these two counterparts were directly learned through a super-resolution generative adversarial network (SR-GAN). Finally, by inputting the high-resolution ODPs into SR-GAN, 4-times-up-scaled and overall-color-and-brightness-transformed ‘enhanced ODPs’ could be obtained. General ophthalmologists were instructed (1) to assess each ODP’s image quality, and (2) to note any abnormal findings, at 1-month intervals. The image quality score for the enhanced ODPs was significantly higher than that for the original ODP, and the overall optic disc hemorrhage (DH)-detection accuracy was significantly higher with the enhanced ODPs. We expect that this novel deep-learning approach will be applied to various types of ophthalmic images.

Telemedicine in ophthalmology in view of the emerging COVID-19 outbreak

Purpose

Technological advances in recent years have resulted in the development and implementation of various modalities and techniques enabling medical professionals to remotely diagnose and treat numerous medical conditions in diverse medical fields, including ophthalmology. Patients who require prolonged isolation until recovery, such as those who suffer from COVID-19, present multiple therapeutic dilemmas to their caregivers. Therefore, utilizing remote care in the daily workflow would be a valuable tool for the diagnosis and treatment of acute and chronic ocular conditions in this challenging clinical setting. Our aim is to review the latest technological and methodical advances in teleophthalmology and highlight their implementation in screening and managing various ocular conditions. We present them as well as potential diagnostic and treatment applications in view of the recent SARS-CoV-2 virus outbreak.

Methods

A computerized search from January 2017 up to March 2020 of the online electronic database PubMed was performed, using the following search strings: “telemedicine,” “telehealth,” and “ophthalmology.” More generalized complementary contemporary research data regarding the COVID-19 pandemic was also obtained from the PubMed database.

Results

A total of 312 records, including COVID-19-focused studies, were initially identified. After exclusion of non-relevant, non-English, and duplicate studies, a total of 138 records were found eligible. Ninety records were included in the final qualitative analysis.

Conclusion

Teleophthalmology is an effective screening and management tool for a range of adult and pediatric acute and chronic ocular conditions. It is mostly utilized in screening of retinal conditions such as retinopathy of prematurity, diabetic retinopathy, and age-related macular degeneration; in diagnosing anterior segment condition; and in managing glaucoma. With improvements in image processing, and better integration of the patient’s medical record, teleophthalmology should become a more accepted modality, all the more so in circumstances where social distancing is inflicted upon us.

Artificial intelligence and deep learning in glaucoma: Current state and future prospects

Over the past few years, there has been an unprecedented and tremendous excitement for artificial intelligence (AI) research in the field of Ophthalmology; this has naturally been translated to glaucoma-a progressive optic neuropathy characterized by retinal ganglion cell axon loss and associated visual field defects. In this review, we aim to discuss how AI may have a unique opportunity to tackle the many challenges faced in the glaucoma clinic. This is because glaucoma remains poorly understood with difficulties in providing early diagnosis and prognosis accurately and in a timely fashion. In the short term, AI could also become a game changer by paving the way for the first cost-effective glaucoma screening campaigns. While there are undeniable technical and clinical challenges ahead, and more so than for other ophthalmic disorders whereby AI is already booming, we strongly believe that glaucoma specialists should embrace AI as a companion to their practice. Finally, this review will also remind ourselves that glaucoma is a complex group of disorders with a multitude of physiological manifestations that cannot yet be observed clinically. AI in glaucoma is here to stay, but it will not be the only tool to solve glaucoma.

Remote screening of retinal and optic disc diseases using handheld nonmydriatic cameras in programmed routine occupational health checkups onsite at work centers

Purpose

To evaluate the first year outcomes of a remote screening program for detection of retinal diseases using handheld nonmydriatic cameras in occupational routine checkups performed onsite at work centers.

Methods

Cross-sectional, first year screening program outcomes audit. Participants were volunteers recruited from staff within work centers. Retinal fundus images were captured by technicians, and images and data were anonymized and sent securely to a remote server. A team of ophthalmologists, all retinal specialists, remotely read the images using a custom-made software and sent telematic reports of findings within 24–48 h. The main items evaluated were the detection of retinal abnormalities and the relationship between retinal findings and demographic data such as age and sex.

Results

A total of 19,881 workers were evaluated in 52 centers. Mean age was 41.1 years old, 43.9% men and 56.1% women. Mean duration of the test was around 2 min. Of the workers, 7.8% presented abnormalities in retinal fundus images, being the main findings choroidal nevus (2.4%), macular pigment abnormalities (1.5%), glaucomatous optic disc (1.2%), and macular signs of high myopia (1.1%). The presence of abnormalities was associated with greater age, being 5%, 7.9%, 12.6%, and 19.7% in workers less than 40 years, from 40 to 49, 50–59, and ≥ 60 years (p < 0.05), respectively. Men had more abnormalities in retinal fundus images than women (8.6 vs. 7.2; p < 0.05 RR: 1.2; CI 1092–1322).

Conclusions

Mass screening of retinal and optic disc abnormalities during occupational health routine checkups is a feasible, quick, and efficient tool for early detection of potential vision-threatening disease markers.

Glaucoma Patient Knowledge, Perceptions, and Predispositions for Telemedicine

PURPOSE

The purpose was to identify factors associated with older glaucoma patients' knowledge of, perceptions of, and predispositions for telemedicine use.

MATERIALS AND METHODS

Established patients age 60 years and above with a diagnosis of primary open-angle glaucoma, glaucoma suspect, or ocular hypertension followed by a glaucoma fellowship-trained ophthalmologist were enrolled in the study at an academic, urban, tertiary referral eye clinic. Enrolled patients were administered a Life Space Questionnaire (LSQ), scored 0 to 9, and Preferences for Telemedicine Questionnaire (PTQ), a Likert scale validated tool. χ testing analyzed PTQ responses by age, race, education, employment status, LSQ score, and distance traveled from home address to clinic. A Mann-Whitney U test was used to compare PTQ responses by visual field index and visual acuity for the better and worse eye.

RESULTS

Of 110 patients enrolled, 71% of patients agreed or were neutral to receiving telediagnosis and 74% of patients agreed or were neutral to receiving teleintervention. Patients aged 60 to 69 years compared with those 70 and above had significantly greater knowledge about types of telemedicine: telediagnosis (53% vs. 31%, P=0.02), teleintervention (49% vs. 24%, P=0.006), teletriage (80% vs. 47%, P=0.0004), and telemonitoring (55% vs. 27%, P=0.003). Patients of European descent had significantly more knowledge about teletriage compared with those of non-European descent (72% vs. 53%, P=0.04). Patients with more education (>high school) compared with those with less education (≤high school) had more knowledge about telemedicine (39% vs. 16%, P=0.007) and all the uses of it: telediagnosis (61% vs. 45%, P<0.001), teleintervention (54% vs. 14%, P<0.001), teletriage (86% vs. 35%, P<0.001), and telemonitoring (59% vs. 18%, P=0.001). Patients with a LSQ score ≥6, meaning they traveled a greater distance from home in the previous 3 days, displayed significantly more knowledge about telediagnosis (49% vs. 25%, P=0.02), teleintervention (43% vs. 19%, P=0.01), and telemonitoring (47% vs. 25%, P=0.03) than those with an LSQ<6. Responses to the PTQ were not significantly different by distance traveled.

CONCLUSIONS

Knowledge of telemedicine was variable but between one third and one half of patients had favorable attitudes toward using telemedicine for glaucoma care.

Philadelphia Telemedicine Glaucoma Detection and Follow-Up Study: Cataract Classifications Following Eye Screening

Background: Cataracts are a major cause of visual impairment and blindness in the United States and worldwide. Introduction: Risk factors for cataracts include age over 40 years, smoking, diabetes, low socioeconomic status, female sex, steroid use, ocular trauma, genetic factors, and exposure to ultraviolet-B light. Community-based telemedicine vision screenings can be an efficient method for detecting cataracts in underserved populations. The Philadelphia Telemedicine Glaucoma Detection and Follow-Up Study reports the prevalence and risk factors for cataracts in individuals screened and examined for glaucoma and other eye diseases. Materials and Methods: A total of 906 high-risk individuals were screened for glaucoma using telemedicine in seven primary care practices and four Federally Qualified Health Centers in Philadelphia. Participants with suspicious nerves or other abnormalities on fundus photographs, unreadable images, and ocular hypertension returned for an eye examination with an ophthalmologist at the same community location. Results: Of the participants screened through telemedicine, 347 (38.3%) completed a follow-up eye examination by an ophthalmologist. Of these, 267 (76.9%) were diagnosed with cataracts, of which 38 (14.2%) had visually significant cataracts. Participants who were diagnosed with visually significant cataract were more likely to be older (p < 0.001), have diabetes (p = 0.003), and worse visual acuity (p < 0.001). Discussion: Our study successfully detected and confirmed cataracts in a targeted, underserved urban population at high risk for eye disease. Conclusions: Telemedicine programs offer an opportunity to identify and refer individuals who would benefit from continuous follow-up eye care and treatment to improve visual function and quality of life.

Philadelphia glaucoma detection and treatment project: ocular outcomes and adherence to follow-up at a single health centre

OBJECTIVES

To determine ocular outcomes and factors associated with adherence to ophthalmic follow-up in a medically underserved population at a single health centre in Philadelphia.

DESIGN

Retrospective chart review.

PARTICIPANTS

Patients from a community glaucoma screening program.

METHODS

Chart review was conducted for participants who received a complete eye examination at the Philadelphia District Health Center 5 between January 1, 2012 and May 31, 2014 within the Philadelphia Glaucoma Detection and Treatment Project. Multivariate logistic regression was used to determine factors related to ophthalmic follow-up adherence.

RESULTS

A total of 249 participants completed an eye examination (mean age = 57.7 ± 6.9 years). Most were African American (n = 220; 88.4%); female (n = 129; 51.8%). Forty-seven participants (18.9%) received glaucoma-related diagnoses, 20 (8.0%) were prescribed ocular medication, and 26 (10.4%) underwent laser therapy. Ninety (36.1%) attended their recommended follow-up eye examination at the health centre. Glaucoma-related diagnosis (p ≤ 0.001), recommendation of a 4- to 6-week follow-up period (p < 0.001), prescribed eye drops (p < 0.001), or received laser therapy (p = 0.047) were factors most predictive of ophthalmic follow-up adherence.

CONCLUSIONS

The collaborative effort of eye care providers and health centres offers an important opportunity to detect, treat, and manage glaucoma and other ocular pathology in medically underserved communities. Having a glaucoma-related diagnosis, initiating treatment, and scheduling regular follow-up visits are the most important factors influencing adherence to follow-up eye appointments.

Awareness of ocular diagnosis, transportation means, and barriers to ophthalmology follow-up in the Philadelphia Telemedicine Glaucoma Detection and Follow-up Study

Purpose: The purpose of this study was to assess factors affecting follow-up eye care in participants enrolled in the Philadelphia Telemedicine Glaucoma Detection and Follow-up Study, such as awareness of ocular diagnosis, availability of transportation methods, and reasons for missing eye care appointments. Methods: The sample included 172 participants who were randomized to the intervention group and contacted by the social worker. Results: A total of 155 participants completed the assessment form, which was used as an instrument to assess factors affecting adherence to follow-up eye care. The main reasons for missing eye exam appointments were feeling ill (38.1%, n = 59) and forgetting the appointment (34.2%, n = 53). In addition, 45 (29.2%) participants were unaware of or did not comprehend the severity of their ocular diagnosis. Common methods of transportation included public transportation (31.6%, n = 49), driving (29.7%, n = 46), and being driven (27.7%, n = 43) to their appointment. Conclusion: These results suggest that individuals in need of eye care may benefit from additional assistance of a social worker regarding ongoing eye exam appointment reminders and in-depth explanation of their ocular diagnosis.

Tele-glaucoma versus clinical evaluation: The New Jersey Health Foundation Prospective Clinical Study

INTRODUCTION

Glaucoma, the second most common cause of blindness, is normally detected in clinic. With technological improvements, tele-glaucoma exams can identify these changes off-site. The quality of tele-glaucoma exams needs to be compared with that of traditional exams. This study's purpose was to validate the tele-glaucoma programme, which allows a physician comprehensive access to patients' data, by comparing results to clinical examinations.

METHODS

A prospective study of 107 subjects evaluated in clinic and then tele-glaucoma stations, which consisted of non-mydriatic fundus photography, puff-tonometry, auto-refraction and Optical Coherence Tomography (OCT). The OCT captured central corneal thickness, angle anatomy, cup-to-disc ratio (CDR), retinal nerve fibre layer distribution and posterior-pole ganglion cell complex data.

RESULTS

Intraocular pressure (IOP) comparisons between clinical and tele-glaucoma exams had strong positive Pearson correlation coefficients (0.8248 OD, 0.8672 OS). Strong positive correlations were seen for CDR (0.7835 OD, 0.8082 OS) as well as diagnosis (glaucoma, no glaucoma or glaucoma suspect). A moderate positive correlation was seen for return to clinic time (RTC). Tele-glaucoma had an average lower RTC (2.7 vs 3.9 months). Tele-glaucoma was more likely to elicit a non-glaucomatous diagnosis not found in clinic vs a diagnosis found only in clinic (18% vs 5% of subjects).

DISCUSSION

Tele-glaucoma allows for detecting glaucoma remotely. These advancements alleviate patient difficulties with obtaining adequate glaucoma screenings and helps ophthalmologists triage patients with more severe pathology. Our study indicates that our tele-glaucoma protocol is comparable to a clinical exam in its ability to detect glaucoma. Further studies will be needed for off-site testing and transferring data separately for analysis.

Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: Analysis of Unreadable Fundus Images

PURPOSE

The purpose of this study was to ascertain determinants of unreadable fundus images for participants enrolled in the Philadelphia Telemedicine Glaucoma Detection and Follow-up Study.

METHODS

Individuals were screened for glaucoma at 7 primary care practices and 4 Federally Qualified Health Centers using telemedicine. Screening (visit 1) included fundus photography, assessing family history of glaucoma, and intraocular pressure (IOP) measurements. Participants with an unreadable image in at least one eye were deemed unreadable and invited to return for a confirmatory eye examination (visit 2).

RESULTS

A total of 906 participants completed the visit 1 eye screening and 17.1% (n=155/906) were "unreadable." In the multivariable logistic regression analysis, older age, male sex, smoking, and worse visual acuity were significantly associated with an unreadable fundus image finding at the eye screening (P<0.05). Of the 89 participants who were invited for the confirmatory eye examination solely for unreadable images and attended visit 2, 58 (65.2%) were diagnosed with at least one ocular pathology. The most frequent diagnoses were cataracts (n=71; 15 visually significant, 56 nonvisually significant), glaucoma suspects (n=27), and anatomical narrow angle (n=10).

CONCLUSIONS

Understanding the causes of unreadable fundus images will foster improvements in telemedicine techniques to optimize the predictive accuracy, efficiency, and cost in ophthalmology. A high proportion of participants with unreadable images (65.2%) in our study were diagnosed with some ocular pathology, indicating that the finding of an unreadable fundus image warrants a referral for a comprehensive follow-up eye examination.

Two-year outcomes of a pilot glaucoma suspect telemedicine monitoring program

Purpose

The purpose of this study was to characterize a pilot program using e-health to monitor glaucoma suspects in a large integrated health system.

Methods

A retrospective chart review of patients enrolled in the first 2 years of a new glaucoma suspect telemedicine monitoring program was conducted. Patients were enrolled in the program after being diagnosed as glaucoma suspects in the regular clinic setting and were eligible for the program if they had better than 20/40 vision, intraocular pressure (IOP) <25 mmHg, a normal baseline visual field, and an optical coherence tomography (OCT) retinal nerve fiber layer (RNFL) without clear evidence of glaucomatous optic nerve damage. Patients were followed annually thereafter with measurements of vision, IOP, and OCT RNFL, which were reviewed at a centralized telemedicine reading center. Patients were retained within the program unless there was evidence of disease progression, in which case they were referred to an ophthalmologist for further evaluation. The first 100 patients received a survey assessing their satisfaction with the program after their first visit. The number of patients who adhered to follow-up recommendations, who were referred to an ophthalmologist for additional evaluation, and who began on IOP-lowering medications was evaluated.

Results

A total of 225 patients were enrolled in this program. Of eligible patients, 97.3% attended their 1-year follow-up visit and 92.5% attended their 2-year follow-up visit. Over the course of 2 years, five patients were referred for further clinic evaluation due to concern for progressive RNFL loss, of which two were started on IOP-lowering medications. No patients were referred to the clinic for vision loss or elevated IOP. In all, 87% of patients said that they would be extremely or quite likely to recommend the program to a friend. More than 80% of patients said that the program was extremely or very helpful, convenient, and professional.

Conclusion

This novel telemedicine program for monitoring low-risk glaucoma suspects achieved high patient retention. Significant disease progression was rare with a few patients requiring referrals back to the clinic setting or initiation of IOP-lowering therapy. Telemedicine is a promising method to follow patients who are glaucoma suspects.