Predictors of Clinic Attendance After Community-Based Vision Screening.

Purpose: The purpose of this study was to analyze appointment attendance rates and patient characteristics associated with follow-up adherence after referral from a community vision screening event. Methods: A retrospective chart review of patients who attended a 2021 or 2022 community vision screening event and were referred to the university clinic for further care. Appointments were offered without charge and scheduled at the event. Associations between patients' clinical and demographic characteristics and appointment attendance were assessed by binary logistical regression. Results: A total of 935 patients attended the annual community vision screening events held in 2021 and 2022. Of these patients, 117 (13%) were referred to the clinic for follow-up, of whom 56 (48%) attended their scheduled follow-up appointment. The most common reasons for clinic referral included cataract (12, 10%), diabetic retinopathy (11, 9%), glaucoma (9, 8%), and challenging refractive error (9, 8%). Health insurance and male gender were predictors of follow-up (odds ratio [OR] = 3.08, 95% confidence interval [CI] = 1.19-7.99, P = 0.021 and OR = 2.72, 95% CI = 1.10-6.61, P = 0.035, respectively). Conclusions: Half of the referred patients followed up after vision screening. Providing appointment scheduling at the point of care and offering follow-up care at no cost may help to promote clinic follow-up, but further assessment of barriers to regular eye care is warranted. Health insurance most strongly predicted successful clinic attendance. Translational Relevance: This study emphasizes the enduring impact of health insurance status as a barrier to accessing comprehensive vision care.

Effect of a Patient Navigator Program to Address Barriers to Eye Care at an Academic Ophthalmology Practice.

Purpose The aim of this study was to determine whether a patient navigator program can address patient-reported barriers to eye care and to understand patient perceptions of a patient navigator program in ophthalmology. Design This is a retrospective cohort study and cross-sectional patient survey. Subjects and Methods A cohort of patients was recruited from a single academic ophthalmology department in the Mid-Atlantic region. Patients included in the study had received referral to the patient navigator program in the first quarter of 2022. Our patient navigator program provided patients with resources to address barriers to care such as transportation and financial assistance. Outcomes of the study included indications for referral, case resolution rate, and patient satisfaction. Results In total, 130 referrals for 125 adult patients were included. The mean ± standard deviation age was 59 ± 17 years, 54 (44%) were male, 77 were white (62%), and 17 patients (14%) were uninsured. Common reasons for referral were transportation (52, 40%), insurance (34, 26%), and financial assistance (18, 14%). Among the 130 cases referred, 127 (98%) received an intervention from the patient navigator, who was able to resolve the referring issue in 90% of cases (117/130). Among 113 patients contacted for a follow-up telephone survey, 56 (50%) responded. Patients rated the program highly at a mean Likert rating of 4.87 out of 5. Moreover, 72% (31/43) of respondents stated their interactions with the patient navigator assisted them with taking care of their eyes. Conclusions A patient navigator program can address barriers to eye care by connecting patients with community resources.

Characteristics associated with barriers to eye care: A cross-sectional survey at a free vision screening event.

INTRODUCTION: Social determinants of health can limit access to regular eye care, but their role in ophthalmology is underexamined. The purpose of this study is to assess the relationship between patient characteristics and self-reported barriers to eye care. METHODS: This anonymous, cross-sectional survey was conducted at a two-day free eye clinic event in Pittsburgh, Pennsylvania. Adult patients presenting for vision screening were eligible to participate. Patient characteristics (demographics, health status) and self-reported barriers to eye care were collected. Predictors of barriers to eye care were analyzed using binary logistic regression. RESULTS: Of 269 eligible, consecutive patients approached for survey completion, 183 comprised the volunteer sample. The 183 participants (105 female patients [59%]) had a mean (standard deviation) age of 53 (15) years, and generally self-identified as Black (74, 46%) or White (67, 41%). While a third reported having no health insurance (60, 34%), the remaining two-thirds of participants had public (84, 48%) or private coverage (34, 19%). Three-quarters of respondents reported at least one barrier to receiving regular eye care (136, 76%), most commonly medical costs (89, 50%) and insurance issues (73, 41%). Not having health insurance or vision insurance was strongly associated with reporting at least one barrier to care (OR 5.00, p=0.002, and OR 7.46, p<0.001, respectively). Those with self-reported eye disease were more likely to report transportation difficulties (OR 4.45, p=0.013), and employed participants reported difficulty getting time off work to attend eye exams (OR 7.73, p=0.002). Finally, compared to Black race, White race was associated with a higher likelihood of reporting any barrier to care (OR 2.79, p=0.013). CONCLUSION: Three-quarters of vision screening attendees reported at least one barrier to regular eye care, most commonly medical costs and insurance.