Patient-Reported Dry Eye Treatment and Burden of Care.

OBJECTIVES: Dry eye is a common condition that can decrease the quality of life. This survey-based study of persons with dry eye investigated self-reported treatments (initial, current), out-of-pocket expenses, time spent on self-management, sources of care, and sources of information about their condition. METHODS: Online dry eye newsletters and support groups were emailed a link to an electronic survey asking members to participate. Survey respondents were not required to answer every question. RESULTS: In total, 639 persons with self-reported dry eye responded (86% women, 14% men [n=623]; mean ± SD age, 55 ± 14 years [n=595]). Artificial tears were the most reported intervention (76% initially, 71% currently). The median (interquartile range) out-of-pocket treatment cost annually was $500 ($200-$1,320 [n=506]). In addition, 55% (n=544) estimated 5 to 20 min daily on self-management; 22% spent an hour or more. Ophthalmologists provided most dry eye care (67%, n=520). Only 48% (n=524) reported that their primary source of dry eye information came from their eye care clinician. CONCLUSIONS: Artificial tears are the primary treatment for dry eye. Ophthalmologists provide most dry eye care, but half of patients report that their eye care provider is not their primary source of information. Almost one fourth of patients spend an hour or more daily on treatments.

Insights Into Eye Care Accessibility: Geospatial Distribution of Eye Care Providers and Socioeconomic Factors by ZIP Code.

Purpose: In the United States, the ZIP Code has long been used to collect geospatial data revealing disparities in social determinants of health. This cross-sectional study examines the distribution of eye care access in association with local socioeconomic factors at a ZIP Code level. Methods: Data from the 2020 Centers of Medicare and Medicaid Services and American Community Survey were used to examine locations of 47,949 providers (17,631 ophthalmologists and 30,318 optometrists) and corresponding local socioeconomic variables (education, employment, and income). Multivariable zero-inflated negative binomial regression was used to model eye care provider count per capita in each ZIP Code area with socioeconomic factors as independent covariates. Results: For every 1% increase in percentage of population over 25 years with a bachelor's degree or higher, the expected number of providers increases by 4.4% (incidence rate ratio [IRR] = 1.044; 95% confidence interval [CI], 1.041-1.046; P < 0.001). For every 1% increase in percentage unemployment, the expected number of providers decreases by 2.7% (IRR = 0.973; 95% CI, 0.964-0.983; P < 0.001). However, for every $1000 increase in median household income, the expected number of providers decreases by 1.6% (IRR = 0.984; 95% CI, 0.983-0.986; P < 0.001). Conclusions: Disparities in access exist in areas of lower employment and educational attainment, as both have positive correlations with eye care provider access. Conversely, areas of greater median household income have lower access to providers. Translational Relevance: This research contributes to a greater field studying social determinants of health and may inform public health strategies on allocation of providers to improve equitable access to vision care.

Ophthalmologists' assessment of the handling characteristics of the novel Finesse Reflex Handle in comparison to those of a conventional handle.

Internal limiting membrane (ILM) peeling requires a delicate handling technique. It is also important that ophthalmologists can use the ILM forceps handle of their preference. This study objectively and subjectively evaluated the handling of the novel Finesse Reflex Handle (Reflex) in comparison with that of a conventional handle. The force required to close the forceps tips, evaluated using a digital force gauge, was significantly lesser for Reflex than for the conventional handle (3.14 ± 0.09 N vs. 3.84 ± 0.06 N, P < 0.001). Twenty-one ophthalmologists with various levels of experience answered a questionnaire after using both handles, and the total questionnaire score for Reflex was higher than that for the conventional handle (35.0 ± 3.7 vs. 30.0 ± 6.9, P = 0.01). Furthermore, the duration of experience as an ophthalmologist was negatively correlated with the vertical motion, assessed by video analysis, for the conventional handle (P = 0.02, r = - 0.50) but not for Reflex (P = 0.26). In conclusion, objective and subjective analyses revealed that compared with the conventional handle, the novel Reflex handle had more favourable handling characteristics. Most ophthalmologists preferred the handling of Reflex. Reflex may compensate for a lack of surgical experience.

Disparities in Eye Care Utilization Among Refugee and Migrant Populations.

Purpose: In this cross-sectional study, we examined refugee/migrant participants' health and eye care utilization compared to controls in San Diego County. Methods: Data were collected from electronic health records (EHRs) at UCSD Health-affiliated medical centers. Through a manual review of EHRs, eligibility criteria to identify a cohort were developed. A total of 64 refugee/migrant participants and 95 control participants matched based on country of origin, age, and sex were included in the analysis. Demographic characteristics, insurance type, and vision/eye care utilization were compared between the two groups. Results: A greater proportion of refugee/migrant participants were more likely to be enrolled in government-sponsored insurance programs, predominantly Medicaid when compared to controls (55% vs. 24%, P = < 0.01). When adjusting for age, history of ophthalmic procedure, and surgery, refugee status was associated with fewer encounters with ophthalmologists in a multivariable linear regression model (coefficient = -1.66 [95% confidence interval [CI] = -2.89 to -0.44], P = 0.009). Conclusions: This study highlights disparities in eye care utilization for refugee/migrant populations. When compared to controls, a larger proportion of refugees/migrants had government-funded insurance, and refugee status was associated with fewer encounters with ophthalmologists. These findings underscore the need for further research on this population to better understand potential healthcare barriers these individuals may encounter. Translational Relevance: This analysis of EHR data illustrates disparities in eye care experienced by refugees/migrants, highlighting potential gaps in care in a vulnerable population.

Assessment of a Large Language Model's Responses to Questions and Cases About Glaucoma and Retina Management.

Importance: Large language models (LLMs) are revolutionizing medical diagnosis and treatment, offering unprecedented accuracy and ease surpassing conventional search engines. Their integration into medical assistance programs will become pivotal for ophthalmologists as an adjunct for practicing evidence-based medicine. Therefore, the diagnostic and treatment accuracy of LLM-generated responses compared with fellowship-trained ophthalmologists can help assess their accuracy and validate their potential utility in ophthalmic subspecialties. Objective: To compare the diagnostic accuracy and comprehensiveness of responses from an LLM chatbot with those of fellowship-trained glaucoma and retina specialists on ophthalmological questions and real patient case management. Design, Setting, and Participants: This comparative cross-sectional study recruited 15 participants aged 31 to 67 years, including 12 attending physicians and 3 senior trainees, from eye clinics affiliated with the Department of Ophthalmology at Icahn School of Medicine at Mount Sinai, New York, New York. Glaucoma and retina questions (10 of each type) were randomly selected from the American Academy of Ophthalmology's commonly asked questions Ask an Ophthalmologist. Deidentified glaucoma and retinal cases (10 of each type) were randomly selected from ophthalmology patients seen at Icahn School of Medicine at Mount Sinai-affiliated clinics. The LLM used was GPT-4 (version dated May 12, 2023). Data were collected from June to August 2023. Main Outcomes and Measures: Responses were assessed via a Likert scale for medical accuracy and completeness. Statistical analysis involved the Mann-Whitney U test and the Kruskal-Wallis test, followed by pairwise comparison. Results: The combined question-case mean rank for accuracy was 506.2 for the LLM chatbot and 403.4 for glaucoma specialists (n = 831; Mann-Whitney U = 27976.5; P < .001), and the mean rank for completeness was 528.3 and 398.7, respectively (n = 828; Mann-Whitney U = 25218.5; P < .001). The mean rank for accuracy was 235.3 for the LLM chatbot and 216.1 for retina specialists (n = 440; Mann-Whitney U = 15518.0; P = .17), and the mean rank for completeness was 258.3 and 208.7, respectively (n = 439; Mann-Whitney U = 13123.5; P = .005). The Dunn test revealed a significant difference between all pairwise comparisons, except specialist vs trainee in rating chatbot completeness. The overall pairwise comparisons showed that both trainees and specialists rated the chatbot's accuracy and completeness more favorably than those of their specialist counterparts, with specialists noting a significant difference in the chatbot's accuracy (z = 3.23; P = .007) and completeness (z = 5.86; P < .001). Conclusions and Relevance: This study accentuates the comparative proficiency of LLM chatbots in diagnostic accuracy and completeness compared with fellowship-trained ophthalmologists in various clinical scenarios. The LLM chatbot outperformed glaucoma specialists and matched retina specialists in diagnostic and treatment accuracy, substantiating its role as a promising diagnostic adjunct in ophthalmology.

Antibiotic Prescribing Patterns Among U.S. Ophthalmologists and Optometrists from 2018 to 2021 in the Medicare Part D Database.

Purpose: To assess antibiotic prescribing patterns among ophthalmologists and optometrists from 2018 to 2021. Methods: This is an observational, retrospective cohort study of the Medicare Part D prescriber public use files from 2018 to 2020. Prescription trends were analyzed with analysis of variance and negative binomial regression tests based on specialty, region, and types of antibiotics. Results: From 2018 to 2021, the number of ophthalmologists in the Medicare Part D database decreased from 18,452 to 18,285, and the number of optometrists increased from 23,071 to 24,734. Throughout the study period, the total number and proportion of antibiotic prescriptions by ophthalmologists and optometrists stayed almost constant with a dip in 2020, likely reflecting the effects of the COVID-19 pandemic. Both ophthalmologists and optometrists demonstrated geographic regional differences in prescribing patterns. The South consistently had the highest average number of claims per provider. Of the antibiotics prescribed by ophthalmologists in 2021, 48.6% are from the fluoroquinolone class, 20.5% are from the aminoglycoside class, and 18.2% are from the macrolide class. Optometrists were found to be more likely to prescribe antibiotics in a formulation combined with a corticosteroid throughout the study period. Conclusions: Our results have shown that prescribing patterns among ophthalmologists and optometrists have demonstrated significant changes in prescriptions of microbial resistance-promoting antibiotics. These patterns persist despite nation-wide attempts to control antimicrobial resistance.

ASSESSMENT OF SIMULATED SURGICAL DEXTERITY AFTER MODIFIABLE EXTERNAL EXPOSURES AMONG NOVICE VERSUS EXPERIENCED VITREORETINAL SURGEONS.

PURPOSE: To evaluate novice and senior vitreoretinal surgeons after various exposures. Multiple comparisons ranked the importance of these exposures for surgical dexterity based on experience. METHODS: This prospective cohort study included 15 novice and 11 senior vitreoretinal surgeons (<2 and >10 years' practice, respectively). Eyesi-simulator tasks were performed after each exposure. Day 1, placebo, 2.5 mg/kg caffeine, and 5.0 mg/kg caffeine; day 2, placebo, 0.2 mg/kg propranolol, and 0.6 mg/kg propranolol; day 3, baseline simulation, breathalyzer readings of 0.06% to 0.10% and 0.11% to 0.15% blood alcohol concentrations; day 4, baseline simulation, push-up sets with 50% and 85% repetitions maximum; and day 5, 3-hour sleep deprivation. Eyesi-generated score (0-700, worst-best), out-of-tolerance tremor (0-100, best-worst), task completion time (minutes), and intraocular pathway (in millimeters) were measured. RESULTS: Novice surgeons performed worse after caffeine (-29.53, 95% confidence interval [CI]: -57.80 to -1.27, P = 0.041) and alcohol (-51.33, 95% CI: -80.49 to -22.16, P = 0.001) consumption. Alcohol caused longer intraocular instrument movement pathways (212.84 mm, 95% CI: 34.03-391.65 mm, P = 0.02) and greater tremor (7.72, 95% CI: 0.74-14.70, P = 0.003) among novices. Sleep deprivation negatively affected novice performance time (2.57 minutes, 95% CI: 1.09-4.05 minutes, P = 0.001) and tremor (8.62, 95% CI: 0.80-16.45, P = 0.03); however, their speed increased after propranolol (-1.43 minutes, 95% CI: -2.71 to -0.15 minutes, P = 0.029). Senior surgeons' scores deteriorated only following alcohol consumption (-47.36, 95% CI: -80.37 to -14.36, P = 0.005). CONCLUSION: Alcohol compromised all participants despite their expertise level. Experience negated the effects of caffeine, propranolol, exercise, and sleep deprivation on surgical skills.

COUNTY-LEVEL ANALYSIS OF EYE EXAM ACCESS AND UTILIZATION IN THE UNITED STATES.

PURPOSE: The eye exam is a critical tool for the prevention, screening, and diagnosis of ocular and systemic conditions. In this study, we characterize county-level variation in eye exam access and utilization for Medicare patients in the United States. METHODS: This nationwide study uses the Medicare Physician & Other Practitioners - by Provider and Service dataset. We included all ophthalmologists and optometrists who performed eye exams on Medicare beneficiaries within a United States county in 2019. For every county where exams were performed, we calculated the number of practicing vision testing providers, percentage of providers classified as ophthalmologists, and the number of exams per 100 Medicare beneficiaries. Multiple linear regression was used to characterize associations between these variables and county characteristics, including measures of poverty, education, and income. RESULTS: In 2019, 28937,540 eye exams were performed by 46,000 providers in 2,291 U.S. counties. In the median county, 34.9 eye exams were provided per 100 Medicare beneficiaries. The average county had 20.1 exam providers, 16.5% of whom were ophthalmologists. There were a median 6.6 eye exam providers for every 10,000 Medicare beneficiaries in the average county. The average provider performed 517.8 exams. Regression showed counties with lower median household incomes, higher poverty rates, or fewer high-school graduates had fewer eye exam providers per 10,000 Medicare beneficiaries and fewer eye exams performed per 100 Medicare beneficiaries. CONCLUSIONS: We find significant county-level variation in eye exam utilization and provider availability. This reflects broader, well-recognized trends in socioeconomic health disparities in the U.S.

Assessment of the Responses of the Artificial Intelligence-based Chatbot ChatGPT-4 to Frequently Asked Questions About Amblyopia and Childhood Myopia.

PURPOSE: To assess the responses of the ChatGPT-4, the forerunner artificial intelligence-based chatbot, to frequently asked questions regarding two common pediatric ophthalmologic disorders, amblyopia and childhood myopia. METHODS: Twenty-seven questions about amblyopia and 28 questions about childhood myopia were asked of the ChatGPT twice (totally 110 questions). The responses were evaluated by two pediatric ophthalmologists as acceptable, incomplete, or unacceptable. RESULTS: There was remarkable agreement (96.4%) between the two pediatric ophthalmologists on their assessment of the responses. Acceptable responses were provided by the ChatGPT to 93 of 110 (84.6%) questions in total (44 of 54 [81.5%] for amblyopia and 49 of 56 [87.5%] questions for childhood myopia). Seven of 54 (12.9%) responses to questions on amblyopia were graded as incomplete compared to 4 of 56 (7.1%) of questions on childhood myopia. The ChatGPT gave inappropriate responses to three questions about amblyopia (5.6%) and childhood myopia (5.4%). The most noticeable inappropriate responses were related to the definition of reverse amblyopia and the threshold of refractive error for prescription of spectacles to children with myopia. CONCLUSIONS: The ChatGPT has the potential to serve as an adjunct informational tool for pediatric ophthalmology patients and their caregivers by demonstrating a relatively good performance in answering 84.6% of the most frequently asked questions about amblyopia and childhood myopia. [J Pediatr Ophthalmol Strabismus. 2024;61(2):86-89.].

Knowledge, attitude, and practice patterns of Indian ophthalmologists regarding medicolegal issues.

PURPOSE: To assess the knowledge, attitude, and practice patterns (KAPP) of Indian ophthalmologists regarding medicolegal issues using an initial survey. METHODS: An online form was circulated among Indian ophthalmologists of all ages over social media and email by the Young Ophthalmologists Society of India (YOSI) and its medicolegal working group. Anonymous responses were obtained and analyzed for each question. The questionnaire comprised questions about demographic details, KAPP of medicolegal issues including how to deal with medicolegal issues (if faced), medical indemnity insurance, deviation from the recommended minimum sum assured (Rs. 1 crore for Indian ophthalmologists), and legal service providers. RESULTS: A total of 109 responses were obtained. The majority of the respondents were male (60, 55%). More than 50% of respondents (58, 53.2%) were younger than 35 years. More than one-fourth of the respondents were private practitioners (29, 27%), and the majority were of senior consultant designation (45, 41%). Around 80% of respondents (89, 81.6%) were aware of professional indemnity insurance; however, only 54% (n = 59) bought the insurance cover. A majority of the respondents (38, 64.4%) had an indemnity cover of a maximum of Rs. 50 lacs. Only 20% of respondents were aware of the expert body at the state/national level that deals with medicolegal cases. Thirty percent of respondents recommended the ideal cover amount to be more than Rs. 1 crore. CONCLUSION: The current survey highlights the dismally low rate of awareness of medicolegal issues among ophthalmologists. Specifically, a majority of Indian ophthalmologists surveyed did not have recommended minimum insured cover for professional indemnity insurance. Larger studies are needed to further explore KAPP of Indian ophthalmologists in various medicolegal issues.

Medicare Part B Spending on Macular Degeneration Treatments Associated With Manufacturer Payments to Ophthalmologists.

Importance: Age-related macular degeneration (ARMD) therapies aflibercept and ranibizumab are among the highest-cost Medicare Part B drugs, even though off-label use of lower-cost bevacizumab is clinically noninferior. Payments from manufacturers of these ARMD therapies to ophthalmologists are hypothesized to be factors in ophthalmologists' therapeutic choice, controlling for ophthalmologist and patient characteristics. Objective: To assess the association between manufacturer payments to ophthalmologists and choice of ARMD treatment as well as to identify ophthalmologist-level characteristics associated with prescribing lower-cost ARMD therapies. Design, Setting, and Participants: This retrospective cross-sectional study of longitudinal (2013-2019) Medicare Part B data was conducted from December 2021 to December 2022. Ophthalmologists prescribing aflibercept (manufactured by Regeneron Pharmaceuticals Inc), rabinizumab, or bevacizumab (both manufactured by Genentech Inc) for ARMD treatment of Medicare Part B beneficiaries were included. Data on manufacturer payments to ophthalmologists were obtained from the Open Payments database. Main Outcomes and Measures: The primary outcome was the percentage of bevacizumab prescribed by ophthalmologists among all ARMD therapies. Regression analysis assessed variation in bevacizumab prescribing by acceptance of manufacturer payments as well as by ophthalmologist and patient characteristics. Ophthalmologist characteristics were duration of practice and Medicare Administrative Contractor region, and patient characteristics were aggregated at the ophthalmologist level and included mean beneficiary age, percentage of dual-eligible beneficiaries, mean beneficiary risk score, and percentage of White beneficiaries. Savings were estimated by projecting the change in bevacizumab use had ophthalmologists not accepted manufacturer payments, controlling for all ophthalmologist and patient characteristics and comparing with observed use and costs. Results: A total of 21 584 ophthalmologists (18 489 males [85.7%]) were included. Ophthalmologists who accepted manufacturer payments were significantly less likely to prescribe bevacizumab (28.0% [95% CI, 24.6%-42.5%] of patients) compared with those who did not accept manufacturer payments (45.8% [95% CI, 44.5%-47.1%]). Ophthalmologists who saw dual-eligible beneficiaries had greater bevacizumab prescribing (50.0% [95% CI, 40.6%-68.3%] in the highest quartile vs 36.1% [95% CI, 33.5%-38.8%] in the lowest quartile; ß coefficient, 0.139; P < .001), while those who saw patients with higher mean beneficiary risk scores had lower bevacizumab use (38.0% [95% CI, 23.7%-44.1%] in the highest quartile vs 48.2% [95% CI, 45.5%-50.8%] in the lowest quartile; ß coefficient, -0.102, P < .001). Had ophthalmologists who accepted manufacturer payments prescribed ARMD drugs as those who did not accept payments, Medicare spending on these treatments would have been $642 779 703.08 lower from 2013 to 2019, a 2.0% savings. Conclusions and Relevance: Results of this cross-sectional study suggest that drug manufacturer payments to ophthalmologists were associated with selection of higher-cost therapies for ARMD, which is a factor in increased Medicare and patient spending. Development of manufacturer payment models that encourage ophthalmologists to choose lower-cost therapies are needed.

Trends in Ophthalmology Practice Consolidation: 2015-2022.

PURPOSE: To quantify trends in ophthalmology practice consolidation in the United States. DESIGN: A retrospective cross-sectional study. PARTICIPANTS: Providers in the Centers for Medicare and Medicaid Services (CMS) National Downloadable File with a primary specialty designation of ophthalmology. METHODS: We used the CMS database to determine national practice consolidation trends in ophthalmology on individual physician and group practice levels and analyzed by region, sex, and years spent in practice. We used the Cochran-Armitage test to determine the statistical significance of practice size differences between 2015 and 2022. MAIN OUTCOME MEASURES: Temporal practice size trends for physicians and practices in ophthalmology and regional, sex-specific, and age-related trends. RESULTS: Between 2015 and 2022, the number of ophthalmologists decreased from 17 656 to 17 615 (-0.2%), whereas the number of practices decreased from 7149 to 5890 (-18%). The percentage of ophthalmologists in practices of 1 to 2 members decreased from 35% to 28%, whereas those in groups of 50 or more increased from 7% to 11%. The percentage of practices with 1 to 2 members decreased from 75% to 71%, and those with 50 or more increased from 0.2% to 0.4%. Consolidation trends were significant on individual ophthalmologist (P < 0.001) and group practice (P < 0.001) levels. All regions, sexes, and subgroups of years spent in practice demonstrated consolidation (P < 0.001). The Northeast showed the greatest increase in groups of 50 or more physicians (+7%) between 2015 and 2022. Proportionally fewer female than male ophthalmologists were associated with practice sizes of 1 to 2 members in 2015 (29% and 36%, respectively) and 2022 (23% and 30%, respectively). Proportionally fewer ophthalmologists with 0 to 10 years of experience in practice were associated with practice sizes of 1 to 2 members than those with more than 30 years in practice in 2015 (18% and 48%, respectively) and 2022 (14% and 40%, respectively). CONCLUSIONS: Ophthalmology has undergone practice consolidation from 2015 to 2022. A decrease in the proportion of physicians affiliated with smaller practice sizes seems to have occurred. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Ophthalmologist Turnover in the United States: Analysis of Workforce Changes from 2014 through 2021.

PURPOSE: Physician turnover is costly to health care systems and affects patient experience due to discontinuity of care. This study aimed to assess the frequency of turnover by ophthalmologists and identify physician and practice characteristics associated with turnover. DESIGN: Retrospective cross-sectional study. PARTICIPANTS: Actively practicing United States ophthalmologists included in the Centers for Medicare and Medicaid Services Physician Compare and Physician and Other Supplier Public Use File between 2014 and 2021. METHODS: We collected data for each ophthalmologist that was associated with practice/institution and then calculated the rate of turnover both annually in each year window and cumulatively as the total proportion from 2014 to 2021. Multivariable logistic regression analysis was used to identify physician and practice characteristics associated with turnover. We also evaluated turnover characteristics surrounding the Coronavirus disease 2019 (COVID-19) pandemic. MAIN OUTCOME MEASURES: Ophthalmologist turnover, defined as a change of an ophthalmologist's National Provider Identifier practice affiliation from one year to the next. RESULTS: Of 13 264 ophthalmologists affiliated with 3306 unique practices, 34.1% separated from at least 1 practice between 2014 and 2021. Annual turnover ranged from 3.7% (2017) to 19.4% (2018), with an average rate of 9.4%. Factors associated with increased turnover included solo practice (adjusted odds ratio [aOR], 9.59), university affiliation (aOR, 1.55), practice location in the Northeast (aOR, 1.39), and practice size of 2 to 4 members (aOR, 1.21; P < 0.05 for all). Factors associated with decreased turnover included male gender (aOR, 0.87) and more than 5 years of practice: 6 to 10 years (aOR, 0.63), 11 to 19 years (aOR, 0.54), 20 to 29 years (aOR, 0.36), and ≥ 30 years (aOR, 0.18; P < 0.05 for all). In the initial year (2020) of the COVID-19 pandemic, annual turnover increased from 7.8% to 11.0%, then decreased to 8.7% in the postvaccine period (2021). CONCLUSIONS: One-third of United States ophthalmologists separated from at least 1 practice from 2014 through 2021. Turnover patterns differed by various physician and practice characteristics, which may be used to develop future strategies for workforce stability. Because administrative data cannot solely determine reasons for turnover, further investigation is warranted given the potential clinical and financial implications. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Cost awareness amongst irish ophthalmologists.

BACKGROUND: Healthcare systems have increasingly limited and stretched budgets. Clinicians have a key role in budget allocation. Awareness of the costs of high-use clinical items is important. AIMS: Assess awareness of the cost of commonly utilised clinical items amongst Irish Ophthalmologists METHODS: Irish ophthalmologists were contacted and asked to fill out an anonymous survey. We assessed knowledge of hospital costs of surgical materials, medications and anti VEGF drugs as well as retail pharmacy costs of commonly prescribed medications. The cost of items to the hospital was recorded from pharmacy and ward order receipts from a single university hospital. The costs of items to the patient were calculated by taking an average of 3 prices charged by local retail pharmacies. For each estimate we calculated the absolute error from the true price. We calculated the mean absolute errors (MAE) and percentage errors (MAPE) across the different groups. RESULTS: We received responses from 47 participants (15 Senior House Officers, 11 Registrars, 21 Consultant/Community Ophthalmologists). Despite 70% of respondents agreeing that the cost of an item should have a major role in its use, the average estimate was 124% inaccurate. Less than 50% of responses were within 50% of the true cost of the item. Self-perceived knowledge was acknowledged to be limited or very limited in 73% of responses. CONCLUSIONS: We demonstrate variable and limited levels of cost awareness. Seniority and better self-perceived knowledge were not found to be associated with better estimate accuracy.

Sociodemographic and Geographic Variation in Access to Neuro-Ophthalmologists in the United States.

BACKGROUND: Neuro-ophthalmologists have expertise in rare and complex disorders, but the ability of patients to access neuro-ophthalmic care has not been examined at a nationwide level. METHODS: Using the 2020 directory of all 502 members of the North American Neuro-Ophthalmology Society as a reference, we found the practice locations of 461 confirmed practicing members and converted each street address to latitude and longitude coordinates. We calculated the travel distance and time from each census tract to the nearest practice location and calculated population-weighted averages by state, region, and other prespecified factors. Choropleth maps were used to visualize the distribution of travel distances and times across the United States. RESULTS: California had the most practicing neuro-ophthalmologists out of any state (50), whereas 4 states (DE, MT, SD, and WY) had none. Washington, DC and MA had the most neuro-ophthalmologists per capita. The average travel distance and time to the nearest neuro-ophthalmologists were found to be 40.90 miles and 46.50 minutes, respectively, although a large portion of western plains and mountain regions had travel times of over 120 minutes. Patients in rural areas had longer travel times than those in urban areas, and Native American patients had the longest travel times of any racial or ethnic group. CONCLUSION: The travel time to see a neuro-ophthalmologist varies widely by state, region, and rurality, with Native American patients and rural patients being disproportionately affected. By identifying the areas with the greatest travel burdens, future policies can work to alleviate these potential barriers to care.

A Validated Method to Identify Neuro-Ophthalmologists in a Large Administrative Claims Database.

BACKGROUND: Validated methods to identify neuro-ophthalmologists in administrative data do not exist. The development of such method will facilitate research on the quality of neuro-ophthalmic care and health care utilization for patients with neuro-ophthalmic conditions in the United States. METHODS: Using nationally representative, 20% sample from Medicare carrier files from 2018, we identified all neurologists and ophthalmologists billing at least 1 office-based evaluation and management (E/M) outpatient visit claim in 2018. To isolate neuro-ophthalmologists, the National Provider Identifier numbers of neuro-ophthalmologists in the North American Neuro-Ophthalmology Society (NANOS) directory were collected and linked to Medicare files. The proportion of E/M visits with International Classification of Diseases-10 diagnosis codes that best distinguished neuro-ophthalmic care ("neuro-ophthalmology-specific codes" or NSC) was calculated for each physician. Multiple logistic regression models assessed predictors of neuro-ophthalmology specialty designation after accounting for proportion of ophthalmology, neurology, and NSC claims and primary specialty designation. Sensitivity, specificity, and positive predictive value (PPV) for varying proportions of E/M visits with NSC were calculated. RESULTS: We identified 32,293 neurologists and ophthalmologists who billed at least 1 outpatient E/M visit claim in 2018 in Medicare. Of the 472 NANOS members with a valid individual National Provider Identifier, 399 (84.5%) had a Medicare outpatient E/M visit in 2018. The model containing only the proportion of E/M visits with NSC best predicted neuro-ophthalmology specialty designation (odds ratio 1.05 [95% confidence interval 1.04, 1.05]; P < 0.001; area under the receiver operating characteristic [AUROC] = 0.91). Model predictiveness for neuro-ophthalmology designation was maximized when 6% of all billed claims were for NSC (AUROC = 0.89; sensitivity: 84.0%; specificity: 93.9%), but PPV was low (14.9%). The threshold was unchanged when limited only to neurologists billing ≥1% ophthalmology claims or ophthalmologists billing ≥1% neurology claims, but PPV increased (33.3%). CONCLUSIONS: Our study provides a validated method to identify neuro-ophthalmologists who can be further adapted for use in other administrative databases to facilitate future research of neuro-ophthalmic care delivery in the United States.

Gender disparity among ophthalmologists awarded Canadian institute of health research grants.

Despite efforts toward equity, diversity, and inclusion in academic ophthalmology faculties, gender disparity continues to exist. Current evidence indicates that female ophthalmologists consistently hold lower academic ranks and receive less funding from the National Institutes of Health compared to their male colleagues. The extent of this disparity is unknown in the Canadian context. We sought to characterize the gender gap in Canadian Institutes of Health Research funding among ophthalmologists. From inception, funding decision data were collected from the official Canadian Institutes of Health Research website database hosted by the Government of Canada. Measures including gender, number of grants held over the study period, number of simultaneous grants, and total funding were collected. Female ophthalmologists were consistently awarded fewer grants (21.43 percent) compared to male counterparts and were less likely to hold multiple grants since 2008. An over five-fold disparity was found in total funding for female compared to male ophthalmologists. As well, females were less likely than males to hold a grant in each particular year except in 2020. Female ophthalmologists continue to face barriers to attaining academic support from Canadian Institute of Health Research funds. Continued action to mitigate this gender gap may improve gender-based parity in federal research funding.