A Service Coverage Analysis of Primary Congenital Glaucoma Care Across the United States

Open Globe Injury Repairs Among Medicare Beneficiaries from 2011 to 2020

PURPOSE

To explore patient and surgeon characteristics for open globe injury repairs (OGRs) and rates of subsequent operations.

METHODS

Using a retrospective cohort design, eyes of patients ≥18 years who underwent OGR among 100% Medicare Fee-For-Service dataset from 2011 to 2020 were included. Current Procedural Terminology (CPT®) codes were used to identify OGR. Patient characteristics were reported, and surgeon characteristics were stratified by sex and compared using Chi-square and Student's t-test. Overall rate of subsequent operations was reported, and trends of subsequent operations over time were assessed using Cochrane-Armitage trend test.

RESULTS

A total of 16,576 patients with a mean age of 73.89 years (±12.89) underwent OGR. Most patients were White (79.68%, n = 13,207) and 49.44% (n = 8196) were female. More patients resided in a rural area (18.71%; n = 3102) relative to surgeon location (4.51%, n = 748; p < 0.001). A total of 5,898 surgeons performed these OGRs with 77.33% (n = 4,561) male and 22.67% (n = 1,337) female surgeons. Male surgeons performed most of the OGRs (76.35%, n = 12,655; p < 0.001). On average, a surgeon performed a single OGR annually (Mean: 1.08 ± 1.04; Range: 0.11-40). Among all OGRs, 51% (8,452/16,576) had ≥1 subsequent operations in median 29 days (IQR: 10-86), which increased during the last decade from 47% to 51% (p = 0.008).

CONCLUSION

Geographic and workforce disparities in ocular trauma warrant future investigation. Further studies can also assess the reasons for increase in the incidence of subsequent procedures after OGR over time.

Association of Neighborhood Environment with the Outcomes of Childhood Glaucoma

PURPOSE

To determine the association between different neighborhood environment factors and the outcomes of childhood glaucoma.

DESIGN

A retrospective cohort.

PARTICIPANTS

Childhood glaucoma patients ≤ 18 years of age at the time of diagnosis.

METHODS

A retrospective chart review of childhood glaucoma patients who presented to Boston Children's Hospital between 2014 and 2019. Data collected included etiology, intraocular pressure (IOP), management, and visual outcomes. Child Opportunity Index (COI) was used as a metric of neighborhood quality.

MAIN OUTCOMES MEASURES

The association of visual acuity (VA) and IOP with COI scores using linear mixed-effect models, adjusting for individual demographics.

RESULTS

A total of 221 eyes (149 patients) were included. Of these, 54.36% were male and 56.4% were non-Hispanic Whites. The median age at the time of presentation was 5 months for primary glaucoma and 5 years for secondary glaucoma. The median age at the last follow-up was 6 and 13 years for primary and secondary glaucoma, respectively. A chi-square test revealed that the COI, health and environment, social and economic, and education indexes between primary and secondary glaucoma patients were comparable. For primary glaucoma, the overall COI and a higher education index were associated with a lower final IOP (P < 0.05), and higher education index was associated with a lower number of glaucoma medications at the last follow-up (P < 0.05). For secondary glaucoma, higher overall COI, health and environment, social and economic, and education indices were associated with better final VA (lower logarithms of the minimum angle of resolution VA) (P < 0.001).

CONCLUSIONS

Neighborhood environment quality is a potentially important variable for predicting outcomes in childhood glaucoma. Lower COI scores were associated with worse outcomes.

FINANCIAL DISCLOSURE(S)

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Regional Disparities in Pediatric Uveitis Care Availability in the United States

A service coverage analysis of pediatric uveitis care in the United States was implemented to determine geographic disparities between subspecialists and the pediatric population. There were substantial potential service deserts, including several small metropolitan areas.

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.

Home Monitoring of Glaucoma Using a Home Tonometer and a Novel Virtual Reality Visual Field Device: Acceptability and Feasibility

OBJECTIVE

Our aim was to assess the acceptability and feasibility of iCare HOME tonometer (HT) and Virtual Field (VF) devices in the home monitoring of glaucoma.

DESIGN

Prospective feasibility and acceptability study.

SUBJECTS

Twenty patients (39 eyes) with primary open-angle glaucoma, open-angle glaucoma, ocular hypertension, or suspected glaucoma.

METHODS

Patients were trained and instructed to bring 2 devices home for 1 week and use the HT 4 times/day for 4 days and the VF 3 times total.

MAIN OUTCOME MEASURES

For acceptability, we conducted satisfaction surveys and semistructured, qualitative interviews with a thematic analysis. Feasibility was assessed by device usage and quality of tests.

RESULTS

Most patients (73.7%) felt that the HT was easy to use, and 100% of them found the HT useful. All patients (100%) felt that VF was easy to use, and 94.4% of them found the VF useful. All patients (100%) obtained acceptable intraocular pressure and completed a VF test at home. We identified 4 key themes, with 33 subthemes. The key themes include the following: (1) advantages of home monitoring; (2) difficulties with home monitoring; (3) future considerations in home monitoring; and (4) the experience of patients with glaucoma.

CONCLUSIONS

The HT and VF were acceptable and feasible in a small cohort of motivated subjects. Patients were able to perform these tests proficiently at home, and they were generally enthused to obtain more data about their intraocular health, as it allowed them a heightened sense of security and insight about their chronic disease, as well as a reduction in foreseeable barriers to care. Home monitoring may also improve upon glaucoma care by enhancing patient empowerment and fostering community bonds. The VF should be further evaluated to ensure validity.

FINANCIAL DISCLOSURE(S)

Proprietary or commercial disclosure may be found after the references.

Access to Pediatric Ophthalmological Care by Geographic Distribution and US Population Demographic Characteristics in 2022

Importance

The geographic distribution of pediatric ophthalmological care has not been reported on since 2007; understanding this distribution could shed light on potential avenues to increase access, which is a necessary first step in addressing the pediatric ophthalmological needs of underserved areas.

Objective

To analyze the number and location (ie, geographic distribution) of pediatric ophthalmologists in relation to US population demographic characteristics.

Design, Setting, and Participants

In this cross-sectional study, public databases from the American Academy of Ophthalmology and American Association for Pediatric Ophthalmology and Strabismus were used to identify pediatric ophthalmologists in the US as of March 2022.

Main Outcomes and Measures

Geographic distribution of pediatric ophthalmologists listed in public databases and any association between pediatric ophthalmologist distribution and US population demographic characteristics. Addresses were geocoded using ArcGIS Pro (Esri).

Results

A total of 1056 pediatric ophthalmologists (611 men [57.9%]) were identified. States with the most pediatric ophthalmologists were California (n = 116 [11.0%]), New York (n = 97 [9.2%]), Florida (n = 69 [6.5%]), and Texas (n = 62 [5.9%]), the 4 most populous states. A total of 2828 of 3142 counties (90.0%) and 4 of 50 states (8.0%) had 0 pediatric ophthalmologists. In 314 counties (10.0%) with 1 or more pediatric ophthalmologists, the mean (range) pediatric ophthalmologists per million persons was 7.7 (0.4-185.5). The range of practitioner to million persons has increased since 2007. Counties with 1 or more pediatric ophthalmologists had a higher median (SD) household income compared with counties with 0 pediatric ophthalmologists ($70 230.59 [$18 945.05] vs $53 263.62 [$12 786.07]; difference, -$16 966.97; 95% CI, -$18 544.57 to -$14 389.37; P < .001). Additionally, the proportion of families in each county without internet service (8.0% vs 4.7%; difference, 3.4%; 95% CI, 3.0%-3.7%; P < .001), the proportion of persons younger than 19 years without health insurance (5.7% vs 4.1%; difference, 1.6%; 95% CI, 1.1%-2.2%; P < .001), and the proportion of households without vehicle access (2.1% vs 1.8%; difference, 0.3%; 95% CI, 0.6%-5.2%; P = .001) were greater in counties with 0 compared with counties with 1 or more pediatric ophthalmologists.

Conclusion and Relevance

This cross-sectional study found that disparities in access to pediatric ophthalmological care have increased over the past 15 years and are associated with lower socioeconomic status. As patients may rely on online sources to identify the nearest pediatric ophthalmologist, accurate publicly available databases are important.

Use of Telemedicine in Pediatric Ophthalmology in the Underserved Population

Access to pediatric eye care is critical in diagnosing and treating eye disease promptly to prevent visual impairment. The demand for pediatric ophthalmology is high, even in developed countries, and significant socioeconomic disparities exist in access to care. The purpose of this article is to summarize the current literature on the use of telemedicine in pediatric ophthalmology in the underserved population and to identify areas of opportunity. A detailed literature review was performed in PubMed and Google Scholar on October 1, 2021. All articles in English that described the use of telemedicine in pediatric ophthalmology, with particular attention to the underserved pediatric population, were included. There is a paucity of literature on the visual outcomes from pediatric teleophthalmology alone, and even less in underserved populations specifically. Literature supports its use in subacute to chronic eye disease, return and postoperative visits, and screening for retinopathy in prematurity in particular. Collaboration between pediatric optometrists and pediatric ophthalmologists for both asynchronous and synchronous care delivery models has shown promise in several studies. It is essential to operate within the limits of pediatric teleophthalmology and utilize this valuable service for its strengths. Telemedicine may expand access to pediatric ophthalmologists in underserved populations and may reduce the burden of eye disease.

Pediatric Glaucoma-From Screening, Early Detection to Management

Pediatric glaucoma (PG) covers a rare and heterogeneous group of diseases with variable causes and presentations. Delayed diagnosis of PG could lead to blindness, bringing emotional and psychological burdens to patients' caregivers. Recent genetic studies identified novel causative genes, which may provide new insight into the etiology of PG. More effective screening strategies could be beneficial for timely diagnosis and treatment. New findings on clinical characteristics and the latest examination instruments have provided additional evidence for diagnosing PG. In addition to IOP-lowering therapy, managing concomitant amblyopia and other associated ocular pathologies is essential to achieve a better visual outcome. Surgical treatment is usually required although medication is often used before surgery. These include angle surgeries, filtering surgeries, minimally invasive glaucoma surgeries, cyclophotocoagulation, and deep sclerectomy. Several advanced surgical therapies have been developed to increase success rates and decrease postoperative complications. Here, we review the classification and diagnosis, etiology, screening, clinical characteristics, examinations, and management of PG.

Geographic Information System Mapping of Social Risk Factors and Patient Outcomes of Pediatric Glaucoma

PURPOSE

This study aimed to use Geographic Information System (GIS) mapping to present the geospatial distribution of visual outcomes and sociodemographic risk factors of a cohort of pediatric glaucoma patients.

DESIGN

Retrospective cohort study.

SUBJECTS

233 eyes of 177 pediatric glaucoma patients treated at UC Davis Medical Center.

METHODS

We reviewed the medical records of pediatric patients (aged less than 18 years) with the diagnosis of pediatric glaucoma or any adult with a prior history of pediatric glaucoma at UC Davis Medical Center from 2001 to 2019. Patient sociodemographic information and ocular health data were recorded. Patients were mapped to their residential home 3-digit zip code prefix using ArcGIS software to generate geographic representations of the pediatric glaucoma database. Statistical analyses were performed to identify significant risk factors to poor visual outcome.

MAIN OUTCOME MEASURES

The primary outcome was the patient's final visual acuity (VA), defined as a binary variable based on the World Health Organization's criteria: good VA (better than 20/200) or poor VA (worse than 20/200). The secondary outcome was final intraocular pressure (IOP) at patients' final follow-ups. Risk factors for poor vision and higher IOP were assessed.

RESULTS

At final follow-up, 65 eyes (27.9%) had poor vision and 168 eyes (72.1%) had good vision. In the multivariate analysis, the odds ratio of good VA decreased by 4% for every 1 mmHg increase in initial IOP (P = 0.03), and the odds of good VA decreased by 6% for every year increase in age (P = 0.04). Patients with private insurance had a 3.5 mmHg lower final IOP than those with Medicaid (P = 0.004). Travel distance was not associated with a poorer visual outcome.

CONCLUSIONS

Private insurance patients had lower final IOP than Medicaid patients. Age and initial IOP were significant negative predictors of VA. Despite travel distance appearing to be associated with poorer visual outcomes by GIS mapping, it was not statistically significant. Geographic information system mapping of patient outcomes is an innovative way to visualize patient demographics and risk factors. Geographic information system may prove particularly useful in larger nationwide disease and surgical registries, especially for rare disorders like pediatric glaucoma.

FINANCIAL DISCLOSURE(S)

Proprietary or commercial disclosure may be found after the references.

Improving Access to Eye Care: A Systematic Review of the Literature

PURPOSE

The goals were to develop a working and inclusive definition of access to eye care, identify gaps in the current system that preclude access, and highlight recommendations that have been identified in prior studies. This manuscript serves as a narrative summary of the literature.

CLINICAL RELEVANCE

Health care disparities continue to plague the nation's well-being, and eye care is no exception. Inequities in eye care negatively affect disease processes (i.e., glaucoma, cataracts, diabetic retinopathy), interventions (surgical treatment, prescription of glasses, referrals), and populations (gender, race and ethnicity, geography, age).

METHODS

A systematic review of the existing literature included all study designs, editorials, and opinion pieces and initially yielded nearly 2500 reports. To be included in full-text review, an article had to be US-based, be written in English, and address 1 or more of the key terms "barriers and facilitators to health care," "access," and "disparities in general and sub-specialty eye care." Both patient and health care professional perspectives were included. One hundred ninety-six reports met the inclusion criteria.

RESULTS

Four key themes regarding access to eye care from both patient and eye care professional perspectives emerged in the literature: (1) barriers and facilitators to access, (2) utilization, (3) compliance and adherence, and (4) recommendations to improve access. Common barriers and facilitators included many factors identified as social determinants of health (i.e., transportation, insurance, language, education). Utilization of eye care was largely attributable to having coverage for eye care, recommendations from primary care professionals, and improved health status. Geographic proximity, age, and lack of transportation surfaced as factors for compliance and adherence. There were a variety of recommendations to improve access to eye care, including improving presence in community health clinics, reimbursement for physicians, and funding of community-based programs such as DRIVE and REACH.

CONCLUSIONS

The eye care profession has abundant evidence of the disparities that continue to affect marginalized communities. Improving community-based programs and clinics, addressing social determinants of health, and acknowledging the effects of discrimination and bias on eye care serve as ways to improve equity in this field.

Progress on application of spatial epidemiology in ophthalmology

Most ocular diseases observed with cataract, chlamydia trachomatis, diabetic retinopathy, and uveitis, have their associations with environmental exposures, lifestyle, and habits, making their distribution has certain temporal and spatial features based essentially on epidemiology. Spatial epidemiology focuses on the use of geographic information systems (GIS), global navigation satellite systems (GNSS), and spatial analysis to map spatial distribution as well as change the tendency of diseases and investigate the health services status of populations. Recently, the spatial epidemic approach has been applied in the field of ophthalmology, which provides many valuable key messages on ocular disease prevention and control. This work briefly reviewed the context of spatial epidemiology and summarized its progress in the analysis of spatiotemporal distribution, non-monitoring area data estimation, influencing factors of ocular diseases, and allocation and utilization of eye health resources, to provide references for its application in the prevention and control of ocular diseases in the future.

Comparison of fellowship match opportunities and results across pediatric surgical subspecialities

There is a nationwide shortage of pediatric ophthalmologists, with trends in fellowship applicants foreshadowing a continued reduction in the number of active pediatric ophthalmologists in the years ahead. In this study, we investigated whether similar fellowship applicant shortages exist in other pediatric surgical subspecialties. We compared the match statistics of six pediatric surgical fellowships from 2015 to 2020. During the 6-year interval, a median of 12.2 pediatric ophthalmology fellowship positions (IQR, 12.1-12.4) were offered per 100 graduating residents, 8.7% of ophthalmology residents (IQR, 8.3%-9.3%) pursued pediatric subspecialty training, and 72% of available pediatric fellowship positions (IQR, 69%-74%) were filled. Pediatric general surgery had the highest percentage of available fellowship positions filled, 99% (IQR, 98%-100%), which was significantly higher than for pediatric ophthalmology (P = 0.024). None of the other subspecialties had a significant difference in available positions filled compared to pediatric ophthalmology (P > 0.05).