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To assess differences in eye care utilization by vision difficulty (VD), diabetes status, and sociodemographic characteristics for American adults. The analysis pooled cross-sectional data from the National Health Interview Survey (2010–2018) from US adults ≥ 18 years. The outcome measure was eye care utilization in the past year. The primary independent variable included four groups: no VD or diabetes, only diabetes, only VD, and diabetes and VD. VD was defined as self-reported difficulty seeing even with glasses or contacts. Diabetic status was defined as ever receiving this diagnosis by a health professional. Multivariable logistic regression analyses examined associations between eye care utilization, VD, diabetic status, and sociodemographic characteristics. Of the 284,599 adults included in this study, the majority were female (55%), White (73%), and non-Hispanic (84%). In regression analysis, as compared to adults without diabetes or VD, adults with both diabetes and VD had the greatest utilization (OR = 2.49, 99% CI = 2.18–2.85). Females had higher utilization than men (OR = 1.45, 99% CI = 1.41–1.50). Higher levels of education was associated with greater utilization (OR = 1.82, 99% CI = 1.72–1.92). White and American Indian adults without diabetes had higher utilization compared to other races (OR = 1.17, 99% CI = 1.12–1.24, 0.98–1.39). While adults with VD and diabetes are better connected to eye care, significant eye care disparities persist for marginalized groups in the U.S. Identifying and understanding these disparities and eliminating barriers to care is critical to better support all patient populations. [ABSTRACT FROM AUTHOR]

We compared recruitment of participants at high risk for glaucoma and other eye diseases in three community-based studies designed to improve access to eye care in underserved populations in New York City, Alabama, and Michigan. We used (1) participant data collected at enrollment (e.g. demographic, medical conditions, healthcare access, and method of hearing about study) and (2) interviews with study staff to assess effective recruitment strategies in enrolling people at high risk for eye disease. We analyzed participant data using descriptive statistics and interview data using content analysis to categorize responses to questions. In these community-based studies, all sites recruited greater proportions of populations with increased risk of eye disease compared to their estimates in the US population. High-risk characteristics varied based on the setting (i.e. Federally Qualified Health Centers or affordable housing buildings). Older adults represented 35% to 57%; 43% to 56% identified as Black; 1% to 40% as Hispanic/Latino; 20% to 42% reported a family history of glaucoma; 32% to 61% reported diabetes; and 50% to 67% reported high blood pressure. Social risk factors for under-utilization of eye care due to poverty included that 43% to 70% of participants had high school or lower education; 16% to 40% were employed; and 7% and 31% had no health insurance. From a qualitative perspective, active, personalized, culturally sensitive methods were most effective in recruiting participants. Implementing eye disease detection interventions in community-based settings facilitated recruiting individuals at high risk for glaucoma and other eye diseases. [ABSTRACT FROM AUTHOR]

The objective of our study is to understand the factors associated with non-adherence to the physician's follow-up advice by persons with glaucoma. We use a four-year panel dataset containing demographic, clinical, and intervention details and doctor's advised follow-up date for a random sample of 2,622 glaucoma patients from an Indian tertiary eye care hospital. We model this unique "advised follow-up date" in multivariate logistic regressions to identify factors associated with patients' coming early or late as against on-time. An OLS regression also examines an association between delayed follow-up and declining visual acuity. Demographic variables such as age, gender, distance to hospital, IOP, and visual acuity were not associated with delayed adherence to follow-up. Patients advised to review within 2 months (p <.001), paying patients (p <.001), and those habituated to routine follow-up (diabetes patients) (p <.01) are less likely to delay care-seeking. Patients are more likely to come on-time in visits immediately after clinical interventions relative to later ones (p <.001). Our second analysis reveals the presence of cataract and the very first post-surgery visit as factors influencing patients to come early. Our third analysis reveals that a higher proportion of delayed visits had resulted in worsening of vision in the glaucoma-affected eye. Our results suggest that active counselling by doctors, especially for routine follow-up visits, can help in better follow-up adherence and prevention of glaucoma-related visual impairment. [ABSTRACT FROM AUTHOR]

This study aimed to estimate the prevalence and main causes of blindness and visual impairment in population aged 50 years and older in Armenia using Rapid Assessment of Avoidable Blindness (RAAB) methodology. The study team randomly selected 50 clusters (each consisting of 50 people) from all 11 regions of Armenia. Data on participants' demographics, presenting visual acuity, pinhole visual acuity, principal cause of presenting visual acuity, spectacle coverage, uncorrected refractive error (URE), and presbyopia were collected using the RAAB survey form. Four teams of trained eye care professionals completed data collection in 2019. Overall, 2,258 people of 50 years and older participated in the study. The age- and gender- adjusted prevalence of bilateral blindness, severe and moderate visual impairment were 1.5% (95% CI: 1.0–2.1), 1.6% (95% CI: 1.0–2.2) and 6.6% (95% CI: 5.5–7.7), respectively. The main causes of blindness were cataract (43.9%) and glaucoma (17.1%). About 54.6% and 35.3% of participants had URE and uncorrected presbyopia, respectively. The prevalence of bilateral blindness and functional low vision increased with age and was the highest in participants 80 years and older. The rate of bilateral blindness was comparable with findings from countries that share similar background and confirmed that untreated cataract was the main cause of blindness. Given that cataract blindness is avoidable, strategies should be developed aiming to further increase the volume and quality of cataract care in Armenia. [ABSTRACT FROM AUTHOR]

PurposeMethodsResultsConclusionTo the best of our knowledge, implementation of artificial intelligence (AI)-based vision screening in community health fair settings has not been previously studied. This prospective cohort study explored the incorporation of AI in a community health fair setting to improve access to eyecare.Vision screening was implemented during a community health fair event using an AI-based non-mydriatic fundus camera. In addition, a questionnaire was provided to survey the various barriers to eyecare and assess eye health literacy.A total of 53 individuals were screened at this event. Notably, about 88% of participants had follow-up appointments scheduled accordingly with an approximate 62% attendance rate. The most reported barrier to eyecare was lack of health insurance followed by transportation.The addition of AI-based vision screening in community health fairs may ultimately help improve access to eye care. [ABSTRACT FROM AUTHOR]