Place-Based Measures of Inequity and Vision Difficulty and Blindness.

Importance: Known social risk factors associated with poor visual and systemic health in the US include segregation, income inequality, and persistent poverty. Objective: To investigate the association of vision difficulty, including blindness, in neighborhoods with measures of inequity (Theil H index, Gini index, and persistent poverty). Design, Setting, and Participants: This cross-sectional study used data from the 2012-2016 American Community Survey and 2010 US census tracts as well as Theil H index, Gini index, and persistent poverty measures from PolicyMap. Data analysis was completed in July 2023. Main Outcomes and Measures: The main outcome was the number of census tract residents reporting vision difficulty and blindness (VDB) and the association with the Theil H index, Gini index, or persistent poverty, assessed using logistic regression. Results: In total, 73 198 census tracts were analyzed. For every 0.1-unit increase in Theil H index and Gini index, there was an increased odds of VDB after controlling for census tract-level median age, the percentage of the population that identified as female sex, the percentage of the population that identified as a member of a racial or ethnic minority group, state, and population size (Theil H index: odds ratio [OR], 1.14 [95% CI, 1.14-1.14; P < .001]; Gini index: OR, 1.15 [95% CI, 1.15-1.15; P < .001]). Persistent poverty was associated with an increased odds of VDB after controlling for census tract-level median age, the percentage of the population that identified as female sex, the percentage of the population that identified as a member of a racial or ethnic minority group, state, and population size compared with nonpersistent poverty (OR, 1.36; 95% CI, 1.35-1.36; P < .001). Conclusions and Relevance: In this cross-sectional study, residential measures of inequity through segregation, income inequality, or persistent poverty were associated with a greater number of residents living with VDB. It is essential to understand and address how neighborhood characteristics can impact rates of VDB.

Spatial Vision Inequalities: A Literature Review of the Impact of Place on Vision and Eye Health Outcomes.

"Neighborhood and built environment" is one of the five domains of social determinants of health that has been outlined by Healthy People 2030, and this domain impacts an individual's well-being, health, and quality of life. Social risk factors (SRFs) in the neighborhood and built environment domain include unstable or unsafe housing, poor access to transportation, lack of green spaces, pollution, safety concerns, and neighborhood measures of inequity. In this narrative literature review, we assess the relationship between neighborhood and built environment SRFs and eye health and vision outcomes. We explain how mapping neighborhood-level SRFs may be used to advance health equity in the field of eye health and vision care.

Visual Impairment from Uncorrected Refractive Error among Participants in a Novel Program to Improve Eye Care Access among Low-Income Adults in Michigan.

PURPOSE: To assess the rate of visual impairment (VI) from uncorrected refractive error (URE) and associations with demographic and socioeconomic factors among low-income patients presenting to the Michigan Screening and Intervention for Glaucoma and Eye Health through Telemedicine (MI-SIGHT) program. DESIGN: Cross-sectional study. PARTICIPANTS: Adults ≥ 18 years without acute ocular symptoms. METHODS: MI-SIGHT program participants received a telemedicine-based eye disease screening and ordered glasses through an online optical store. Participants were categorized based on refractive error (RE) status: VI from URE (presenting visual acuity [PVA], ≤ 20/50; best-corrected visual acuity [BCVA], ≥ 20/40), URE without VI (PVA, ≥ 20/40; ≥ 2-line improvement to BCVA), and no or adequately corrected RE (PVA, ≥ 20/40; < 2-line improvement to BCVA). Patient demographics, self-reported visual function, and satisfaction with glasses obtained through the program were compared among groups using analysis of variance, Kruskal-Wallis, chi-square, and Fisher exact testing. MAIN OUTCOME MEASURES: PVA, BCVA, and presence of VI (defined as PVA ≤ 20/50). RESULTS: Of 1171 participants enrolled in the MI-SIGHT program during the first year, average age was 55.1 years (SD = 14.5), 37.7% were male, 54.1% identified as Black, and 1166 (99.6%) had both PVA and BCVA measured. VI was observed in 120 participants (10.3%); 96 had VI from URE (8.2%), 168 participants (14.4%) had URE without VI, and 878 (75.3%) had no or adequately corrected RE. A smaller percentage of participants with VI resulting from URE reported having a college degree, and a larger percentage reported income < $10 000 compared with participants with no or adequately corrected RE (3.2% vs. 14.2% [P = 0.02]; 45.5% vs. 21.6% [P < 0.0001], respectively). Visual function was lowest among participants with VI from URE, followed by those with URE without VI, and then those with no or adequately corrected RE (9-item National Eye Institute Visual Function Questionnaire composite score, 67.3 ± 19.6 vs. 77.0 ± 14.4 vs. 82.2 ± 13.3, respectively; P < 0.0001). In total, 71.2% (n = 830) ordered glasses for an average cost of $36.80 ± $32.60; 97.7% were satisfied with their glasses. CONCLUSIONS: URE was the main cause of VI at 2 clinics serving low-income communities and was associated with reduced vision-related quality of life. An online optical store with lower prices made eyeglasses accessible to low-income patients. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Social Risk Factor Associations With Presenting Visual Acuity in Patients With Microbial Keratitis.

Importance: Neighborhood-level social risk factors may contribute to health disparities in microbial keratitis (MK) disease presentation. Understanding neighborhood-level factors may identify areas for revised health policies to address inequities that impact eye health. Objective: To investigate if social risk factors were associated with presenting best-corrected visual acuity (BCVA) for patients with MK. Design, Setting, and Participants: This was a cross-sectional study of patients with a diagnosis of MK. Patients presenting to the University of Michigan with a diagnosis of MK between August 1, 2012, and February 28, 2021, were included in the study. Patient data were obtained from the University of Michigan electronic health record. Main Outcomes and Measures: Individual-level characteristics (age, self-reported sex, self-reported race and ethnicity), presenting log of the minimum angle of resolution (logMAR) BCVA, and neighborhood-level factors, including measures on deprivation, inequity, housing burden, and transportation at the census block group, were obtained. Univariate associations of presenting BCVA (< 20/40 vs ≥20/40) with individual-level characteristics were assessed with 2-sample t, Wilcoxon, and χ2 tests. Logistic regression was used to test associations of neighborhood-level characteristics with the probability of presenting BCVA worse than 20/40 after adjustment for patient demographics. Results: A total of 2990 patients with MK were identified and included in the study. Patients had a mean (SD) age of 48.6 (21.3) years, and 1723 were female (57.6%). Patients self-identified with the following race and ethnicity categories: 132 Asian (4.5%), 228 Black (7.8%), 99 Hispanic (3.5%), 2763 non-Hispanic (96.5%), 2463 White (84.4%), and 95 other (3.3%; included any race not previously listed). Presenting BCVA had a median (IQR) value of 0.40 (0.10-1.48) logMAR units (Snellen equivalent, 20/50 [20/25-20/600]), and 1508 of 2798 patients (53.9%) presented with BCVA worse than 20/40. Patients presenting with logMAR BCVA less than 20/40 were older than those who presented with 20/40 or higher (mean difference, 14.7 years; 95% CI, 13.3-16.1; P < .001). Furthermore, a larger percentage of male vs female sex patients presented with logMAR BCVA less than 20/40 (difference, 5.2%; 95% CI, 1.5-8.9; P = .04), as well as Black race (difference, 25.7%; 95% CI, 15.0%-36.5%;P < .001) and White race (difference, 22.6%; 95% CI, 13.9%-31.3%; P < .001) vs Asian race, and non-Hispanic vs Hispanic ethnicity (difference, 14.6%; 95% CI, 4.5%-24.8%; P = .04). After adjusting for age, self-reported sex, and self-reported race and ethnicity, worse Area Deprivation Index (odds ratio [OR], 1.30 per 10-unit increase; 95% CI, 1.25-1.35; P < .001), increased segregation (OR, 1.44 per 0.1-unit increase in Theil H index; 95% CI, 1.30-1.61; P < .001), higher percentage of households with no car (OR, 1.25 per 1 percentage point increase; 95% CI, 1.12-1.40; P = .001), and lower average number of cars per household (OR, 1.56 per 1 less car; 95% CI, 1.21-2.02; P = .003) were associated with increased odds of presenting BCVA worse than 20/40. Conclusion and Relevance: Findings of this cross-sectional study suggest that in a sample of patients with MK, patient characteristics and where they live were associated with disease severity at presentation. These findings may inform future research on social risk factors and patients with MK.

A Qualitative Assessment of the Experiences with Eye Health and Barriers to Eyeglasses among U.S. Youth.

SIGNIFICANCE: Uncorrected refractive error is the main cause of visual impairment in U.S. youth and has profound impacts on individuals and society. Identifying and addressing barriers to eyeglasses in this population are critical to maximize youth academic performance, workplace productivity, and quality of life. PURPOSE: We aimed to understand youth experiences with eye health, assess the value that youth place on vision, and identify barriers to refractive correction directly from a nationwide sample of youth to inform interventions to address uncorrected refractive error in this population. METHODS: An open-ended poll was distributed to the MyVoice Text Message Cohort of U.S. youth eliciting youth experiences with eye health and barriers to wearing eyeglasses. Text message responses were coded using grounded theory. RESULTS: Of 1204 recipients, 88.3% (n = 1063) responded. The mean age ± standard deviation was 20.3 ± 2.4 years, 58.8% (n = 625) were male, 74.0% (n = 787) were White, and 41.4% (n = 440) reported low socioeconomic status. Four major themes emerged from the open-ended responses: (1) many youth have experienced problems with their eyes or eyesight (n = 699 [65.8%]); (2) many youth value their eyesight highly (n = 905 [85.1%]; e.g., "Eyesight is one of the most important aspects of my health, particularly in our digital world…"); (3) common reasons youth might not wear glasses even if they need them include concerns over appearance (n = 553 [52.0%]; e.g., "I thought every pair made me look ugly…"), cost (n = 171 [16.1%]), inconvenience (n = 166 [15.6%]), and discomfort (n = 104 [9.8%]); and (4) youth are open to purchasing eyeglasses online (n = 539 [50.7%]). CONCLUSIONS: Appearance, cost, inconvenience, and discomfort are critical barriers to wearing eyeglasses among U.S. youth. A multisectoral response is necessary to address these barriers.

Michigan Screening and Intervention for Glaucoma and Eye Health Through Telemedicine Program: First-Year Outcomes and Implementation Costs.

PURPOSE: The Michigan Screening and Intervention for Glaucoma and Eye Health Through Telemedicine (MI-SIGHT) program aims to engage people who are at high risk of glaucoma; we assess first-year outcomes and costs. DESIGN: Clinical cohort study. METHODS: Participants ≥18 years of age were recruited from a free clinic and a federally qualified health center in Michigan. Ophthalmic technicians in the clinics collected demographic information, visual function, ocular health history, measured visual acuity, refraction, intraocular pressure, pachymetry, pupils, and took mydriatic fundus photographs and retinal nerve fiber layer optical coherence tomography. Data were interpreted by remote ophthalmologists. During a follow-up visit, technicians shared ophthalmologist recommendations, dispensed low-cost glasses, and collected participant satisfaction. The primary outcome measures were prevalence of eye disease, visual function, program satisfaction, and costs. Observed prevalence was compared with national disease prevalence rates using z tests of proportions. RESULTS: Among 1171 participants, the average age was 55 years (SD 14.5 years), 38% were male, 54% identified as Black, 34% as White, 10% as Hispanic, 33% had less than or equal to a high school education, and 70% had an annual income <$30,000. The prevalence of visual impairment was 10.3% (national average 2.2%), glaucoma and suspected glaucoma 24% (national average 9%), macular degeneration 2.0% (national average 1.5%), and diabetic retinopathy 7.3% (national average 3.4%) (P < .0001). Seventy-one percent of participants received low-cost glasses, 41% were referred for ophthalmology follow-up, and 99% were satisfied or very satisfied with the program. Startup costs were $103,185; recurrent costs were $248,103 per clinic. CONCLUSIONS: Telemedicine eye disease detection programs in low-income community clinics effectively identify high rates of pathology.

Seeing Red: Associations between Historical Redlining and Present-Day Visual Impairment and Blindness.

PURPOSE: Redlining was a discriminatory housing policy in the United States that began in 1933 and denoted neighborhoods with high proportions of Black individuals as "undesirable" and a high risk for lending, which therefore excluded people from obtaining traditional insured mortgages to purchase a home. Simultaneously, realtors discouraged Black individuals from purchasing homes in predominantly non-Black neighborhoods. This resulted in decreased home ownership and wealth accumulation among Black individuals and neighborhoods with high proportions of Black individuals. This study investigated rates of visual impairment and blindness (VIB) in neighborhoods that at one time were graded for redlining. DESIGN: Secondary data analysis of American Community Survey data and historical grades for redlining. PARTICIPANTS: United States census tracts (CTs) from 2010 with historical grades for redlining. METHODS: One-way analysis of variance, Kruskal-Wallis test, chi-square test, and logistic regression modeling. MAIN OUTCOME MEASURES: The main outcome was CT percentage of residents reporting VIB and the association with historical grades for redlining. Grades were converted to numeric values (1 to 4, with higher values indicating worse grade) and aggregated over a CT based on the distribution of grades within to obtain a redlining score. Logistic regression was used to model the effect of redlining on the probability of having VIB. RESULTS: Eleven thousand six hundred sixty-eight CTs were analyzed. Logistic regression found that a 1-unit increase in average redlining score was associated with a 13.4% increased odds of VIB after controlling for CT measures of age, sex, people of color (any non-White race), state, and population size (odds ratio [OR], 1.134; 95% confidence interval [CI], 1.131-1.138; P < 0.001). Similar results were observed for an additional model that adjusted for the estimated percentage of Black residents within a CT (OR, 1.180; 95% CI, 1.177-1.183; P < 0.001). CONCLUSIONS: Historical government-sanctioned residential segregation through redlining was found to be associated with higher proportions of people living with VIB in these neighborhoods today. Understanding how neighborhood segregation impacts eye health is important for planning improved mechanisms of eye care delivery to mitigate health disparities. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.

Assessment of Keratitis Severity Using Quantitative Image Analysis in an In Vivo Murine Model of Staphylococcus aureus Bacterial Keratitis.

Purpose: Bacterial keratitis (BK) severity in murine models has traditionally been measured by subjective clinical grading or quantification of ocular bacterial burden. This investigation explores an objective and repeatable quantification of slit lamp photography (SLP) images to measure BK severity. Methods: BALB/c strain mice underwent three parallel scratches of the right cornea with subsequent inoculation of 107Staphylococcus aureus cells. SLP imaging and clinical severity grading were performed at 48 hours post-infection. Stromal infiltrate (SI) area on SLP images were quantified. Bacterial burden was determined after enucleation and homogenization. Spearman rank correlations (rs) were used to estimate associations between SI area, clinical severity grades, and bacterial burden. Results: BALB/c strain mice (n = 14) were evaluated with an average SI area of 0.92 mm2 (standard deviation, SD = 0.65) and average bacterial burden of 3.16 × 105 colony forming units per milliliter (CFU/mL) (SD = 8.3 × 105). Clinical severity grade positively correlated with SI area (rs = 0.59, p = 0.0276) and bacterial burden (rs = 0.66, p = 0.0106). There was a trend towards positive association between SI area and bacterial burden (rs = 0.51, p = 0.0543). Conclusions: SLP annotation of SI area is correlated with clinical severity and may provide an objective, quantitative, and repeatable assessment of BK disease severity. Translational Relevance: SLP annotation of SI area is a novel quantitative method to evaluate bacterial keratitis severity longitudinally in mouse models which may be a powerful tool to better understand BK pathogenesis and response to treatments.

Assessing Eye Health and Eye Care Needs Among North American Native Individuals.

IMPORTANCE: There are few population-level studies on ophthalmic conditions and services among North American Native individuals. OBJECTIVE: To evaluate whether disparities in ophthalmic conditions and services exist between North American Native individuals and non-Hispanic White individuals in the US. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used 100% Medicare fee-for-service (MFFS) enrollment data from the Vision and Eye Health Surveillance System (VEHSS) to examine ophthalmic conditions and service use in North American Native individuals and non-Hispanic White individuals in the US. In this study North American Native individuals included those who identified as American Indian, Native Alaskan, Native Hawaiian, and Pacific Islander. Data were analyzed from August 2020 to April 2021. INTERVENTIONS: Claims and sociodemographic characteristics were extracted and means computed for categories of ophthalmic conditions and select ophthalmic services. Ophthalmic conditions and services were defined in the VEHSS using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Clinical Modification (ICD-10-CM) codes. Logistic regression was used to model differences between age-adjusted mean ophthalmic condition and service claim rates among North American Native individuals and non-Hispanic White individuals for each age cohort. Matching ophthalmic condition claim rates and ophthalmic service claim rates was performed to examine disparities by racial group. MAIN OUTCOMES AND MEASURES: Mean age-adjusted claim rates for ophthalmic conditions and services among North American Native individuals vs non-Hispanic White individuals per 100 persons. RESULTS: Claims were identified for 177 100 Native American Native individuals and 24 438 000 non-Hispanic White individuals. In 16 of 17 ophthalmic condition categories and 6 of 9 service categories, North American Native individuals had significantly different claim rates from non-Hispanic White individuals. There were higher ophthalmic condition claim rates but lower service claim rates for North American Native individuals (vs non-Hispanic White individuals) for refractive errors (ophthalmic condition, 17.2 vs 11.1; service, 48.3 vs 49.6, respectively; P < .001); blindness and low vision (ophthalmic condition, 1.48 vs 0.75: service, 19.2 vs 20.1, respectively; P < .001); injury, burns, and surgical complications (ophthalmic condition, 1.8 vs 1.7; service, 19.2 vs 20.1, respectively; P < .001); and orbital and external disease (ophthalmic condition, 15.7 vs 13.3; service, 48.3 vs 49.6, respectively; P < .001). For diabetic eye diseases, North American Native individuals had higher ophthalmic condition claim rates (5.22 vs 2.20) but no difference in service claim rates (14.4 vs 14.8; P = .26) compared with non-Hispanic White individuals. CONCLUSIONS AND RELEVANCE: In this cross-sectional study, North American Native individuals had higher prevalence of ophthalmic conditions but no corresponding increase in services (treatment for most ophthalmic conditions) compared with non-Hispanic White individuals. These results suggest worse eye health and higher unmet eyecare needs for North American Native individuals with MFFS coverage compared with non-Hispanic White individuals with MFFS coverage.

Persistent Opioid Use after Ophthalmic Surgery in Opioid-Naive Patients and Associated Risk Factors.

PURPOSE: To determine the rate and risk factors for new persistent opioid use after ophthalmic surgery in the United States. DESIGN: Retrospective claims-based cohort analysis. PARTICIPANTS: Opioid-naive patients 13 years of age and older who underwent incisional ophthalmic surgery between January 1, 2012, and June 30, 2017, and were included in Optum's de-identified Clinformatics Data Mart database. METHODS: New persistent opioid use was defined as filling an opioid prescription in the 90-day and the 91- to 180-day periods after the surgical procedure. The outcome variable was an initial perioperative opioid prescription fill. Rates of new persistent opioid use were calculated, and multivariate logistic regression models were used to identify variables increasing the risk of new persistent use and refill of an opioid prescription after the initial perioperative prescription in first 30 days. MAIN OUTCOME MEASURES: New persistent opioid use and refill. RESULTS: A total of 327 379 opioid-naive patients (mean age, 67 years [standard deviation, 16 years]; 178 067 women [54.4%]) who underwent ophthalmic surgery were examined. Among these patients, 14 841 (4.5%) had an initial perioperative opioid fill. The rate of new persistent opioid use was 3.4% (498 of 14 841 patients) compared with 0.6% (1833 of 312 538 patients) in patients who did not have an initial perioperative opioid fill. After adjusting for patient characteristics, initial perioperative opioid fill was associated independently with increased odds of new persistent use (adjusted odds ratio [OR], 6.21; 95% confidence interval [CI], 5.57-6.91; P < 0.001). Among patients who had filled an initial perioperative prescription, a prescription size of 150 morphine milligram equivalents or more was associated with an increased odds of refill (adjusted OR, 1.87; 95% CI, 1.58-2.22; P < 0.001). CONCLUSIONS: Exposure to opioids in the perioperative period is associated with new persistent use in patients who were previously opioid-naive. This suggests that exposure to opioids is an independent risk factor for persistent use in patients undergoing incisional ophthalmic surgery. Surgeons should be aware of those risks to identify at-risk patients given the current national opioid crisis and to minimize prescribing opioids when possible.

Barriers and Facilitators to Obtaining Eyeglasses for Vulnerable Patients in a Michigan Free Clinic.

SIGNIFICANCE: Uncorrected refractive error is the main cause of visual impairment globally. Understanding barriers and facilitators underserved individuals face in obtaining eyeglasses will help address high rates of uncorrected refractive error. PURPOSE: The purpose of this study was to understand the barriers and facilitators to obtaining eyeglasses among low-income patients in Michigan. METHODS: Participants older than 18 years with hyperopia, myopia, or presbyopia and without active eye disease, severe mental illness, or cognitive impairment at Hope Clinic, Ypsilanti, Michigan, were included in this study. The participants answered a sociodemographic survey and underwent autorefraction and an interview. Interviews were audiorecorded, transcribed, and analyzed by two investigators. RESULTS: Interviews were completed by 43 participants, and 30 participants' interviews were analyzed. The mean ± standard deviation age of 30 participants was 55 ± 12 years, 70% were female, 57% were African American, 40% had high school diploma or less, 57% earned less than U.S. $25,000 per year, 93% had worn glasses previously, and 87% had some medical insurance. Uncorrected visual acuity was logMAR 0.73 ± 0.61; best-corrected visual acuity was logMAR 0.16 ± 0.21. Thematic saturation was reached after 25 transcripts. Top barriers to using eyeglasses were cost (312 mentions, 29 participants), negative experiences with eyeglasses (263, 29), and limited access to eye care (175, 27). Top facilitators were positive experiences with glasses (230, 29), easy access to eyeglasses (143, 27), and availability of transportation (65, 27). Most participants (97%, 29) reported being negatively impacted by uncorrected refractive error. Most (97%, 29) were skeptical about obtaining eyeglasses online because of possible prescription problems. CONCLUSIONS: Key barriers to correcting uncorrected refractive error in our community span across multiple health domains but are predominately rooted in external factors such as cost and access to vision care. Online eyeglasses may address access issues, but many participants were uncomfortable or unable to obtain glasses online.

Medication Adherence Among Patients With Corneal Diseases.

PURPOSE: Medication nonadherence is a ubiquitous problem. However, the adherence of patients to medications to manage corneal conditions is unknown. A prospective cohort study investigated the patterns of eye drop adherence among patients with corneal conditions. METHODS: Patients older than or equal to 18 years taking prescription eye medications were recruited from an academic center's corneal clinic. Data collected included age, sex, total doses of eye medications, and category of primary corneal diagnosis. Participants completed adapted versions of the 12-question Adherence to Refills and Medications Scale (ARMS) and the 3-question Voils' Medication Adherence Scale (VMAS). Survey data were dichotomized as "adherent" and "nonadherent," and subscales reported for reasons of nonadherence. Logistic regression analyses were used to test associations with adherence. RESULTS: A total of 199 participants were surveyed from February to March 2019 (95% response rate). Participants were aged 19 to 93 years with a mean age of 59 years (SD 17.8). The percent of participants considered nonadherent was 72% by the ARMS and 33% by the VMAS. Older age was associated with higher adherence by the ARMS (odds ratio = 1.48, 95% confidence interval, 1.14-1.93, P = 0.004) and by the VMAS (odds ratio = 1.24, confidence interval, 1.04-1.48, P = 0.012). Adherence was not significantly associated with race, sex, education, total doses of eye medications, or primary cornea diagnosis. CONCLUSIONS: Medication adherence was lower than expected, particularly on the ARMS scale that asks more detailed questions. Clinicians should engage in conversations about adherence, especially with younger patients, if they are not seeing an expected clinical response.

Procedures, Visits, and Procedure Costs in the Management of Microbial Keratitis.

PURPOSE: To investigate the burden of procedures, visits, and procedure costs in the management of microbial keratitis (MK). METHODS: Medical records of patients from an academic hospital outpatient facility between December 2013 and May 2018 were retrospectively reviewed. Patients were included if they were older than the age of 18 years, recruited for study of likely MK, and not concurrently undergoing treatment for other acute eye conditions. For procedural costs, Medicare data for billing were obtained using the Center for Medicare and Medicaid Services Physician Fee Lookup tool. RESULTS: A total of 68 patients were included for analysis. Patients were on average 51.3 years (SD = 19.5), 55.9% women (n = 38), and 89.7% White (n = 61). Per person, the average number of procedures was 2.9 (SD = 4.2). The average number of visits was 13.9 (SD = 9.2) over an average of 26.9 weeks (SD = 24.3). Age (P < 0.0001), positive Gram stain (P = 0.03), and mixed Gram stain (P = 0.002) were positively associated with the number of procedures. Age (P = 0.0003), fungal keratitis (P = 0.02), and mixed Gram stain (P = 0.01) were positively associated with the number of visits. Race was inversely associated with the number of procedures (P = 0.045) and visits (0.03). Patients with bacterial keratitis were more likely to have amniotic membrane grafts (P = 0.01) and tarsorrhaphies (P = 0.03) than fungal patients. Across all procedures performed for the management of MK, the mean cost per patient was $1788.7 (SD = $3324.62). CONCLUSIONS: Patients incur many procedural costs and attend many visits during the management of MK. These findings emphasize the importance of patient-provider communication for frequent follow-up care and the potential need to perform procedures for disease management.

Association of Limiting Opioid Prescriptions With Use of Opioids After Corneal Surgery.

Importance: Opioids, which carry a high risk for addiction and overdose, are commonly prescribed after corneal surgery. Data are lacking describing opioid prescribing practices and opioid needs by patients after ophthalmic surgery. Objectives: To quantify opioid use and to assess the association of decreasing the number of opioid tablets prescribed after corneal surgery with postsurgical use. Design, Setting, and Participants: This prospective cohort study investigated opioid use after corneal surgery using direct interviews of 2 adult patient cohorts separated by an updated opioid prescribing guideline. The first cohort survey assessed the quantity of opioid tablets used after surgery. The cornea division of a tertiary care academic medical center reviewed the use needs and decreased the number of tablets prescribed after routine cases. Simultaneously, a statewide opioid monitoring program began that provided patients with opioid information. A second unique cohort received a more detailed survey to assess use, opioid disposal, and pain control. Data for the first cohort were collected from December 1, 2017, through January 19, 2018; for the second cohort, from June 1 to September 15, 2018. Data were analyzed from October 24, 2018, through September 24, 2019. Exposure: Corneal surgery. Main Outcomes and Measures: Differences in use of opioid tablets used by both patient cohorts, assessed using the 2-sample t test. Results: Of 112 eligible, contacted patients, 82 consented to participate (42 men [51%]; mean [SD] age, 42.5 [17.8] years) and were included in the analysis; 38 of 42 participated in the first cohort and 44 of 70 participated in the second cohort. Of those receiving opioid prescriptions, the first cohort was prescribed significantly more tablets than the second cohort (mean [SD], 18.8 [4.2] vs 6.6 [3.1]; difference, 12.2 [95% CI, 10.4-14.0]; P < .001). The first cohort used significantly more tablets than the second cohort (mean [SD], 8.3 [7.0] vs 4.0 [3.2]; difference, 4.3 [95% CI, 1.4-7.2]; P = .005) and had significantly more leftover tablets (mean [SD], 10.3 [6.9] vs 2.9 [2.7]; difference, 7.5 [95% CI, 4.7-10.2]; P < .001). In the detailed survey for the second cohort, 19 of 27 patients reported pain control as adequate (70% [95% CI, 50%-86%]); 6 of 27, as more than needed (22% [95% CI, 9%-42%]). Twenty of 28 participants (71% [95% CI, 55%-88%]) had leftover tablets; 17 of these (85% [95% CI, 62%-97%]) did not dispose of leftovers, and 3 (15% [95% CI, 3%-38%]) threw away or flushed leftovers. Conclusions and Relevance: After an assessment of opioid needs, physicians prescribed fewer opioid pills. However, patients who underwent cornea surgery and received fewer tablets continued to have adequate pain control and used even fewer tablets compared with the initial cohort. Patients with unused opioid tablets did not dispose of them properly.

Medication Burden for Patients With Bacterial Keratitis.

PURPOSE: To understand medication use and patient burden for treatment of bacterial keratitis (BK). METHODS: A retrospective study was conducted examining medical records of adult patients with BK in an academic cornea practice. Data collected included medications used in the treatment of BK, dosing of medications, and the number and total duration of clinical encounters. Costs of medications were estimated using the average wholesale pharmacy price. Linear regression analysis was used to investigate associations of medication use with patient demographics and corneal culture results and reported with beta estimates (ß) and 95% confidence intervals (95% CIs). RESULTS: Forty-eight patients with BK (56% female) were studied. Patients were treated for a median of 54 days with 10 visits, 5 unique medications, 587 drops, and 7 prescriptions. The estimated median medication cost was $933 (interquartile range: $457-$1422) US dollars. Positive bacterial growth was significantly associated with more visits (ß: 6.16, 95% CI: 1.75-10.6, P = 0.007), more days of treatment (ß: 86.8, 95% CI: 10.8-163, P = 0.026), more prescribed medications (ß: 2.86, 95% CI: 1.04-4.67, P = 0.003), and more doses of medications (ß: 796, 95% CI: 818-1412, P = 0.012) compared with patients who did not undergo corneal scraping. Patients were prescribed 132 more drops of medication for every 10 years of older age (ß: 132, 95% CI: 18.2-246, P = 0.024). Sex and income were not associated with medication burden or treatment length. CONCLUSIONS: Older patients and those with positive cultures incur the most medication burden in treatment of BK. Providers should be aware of medication usage and cost burden as it may affect compliance with treatment.

Self-reported Eyeglass Use by US Medicare Beneficiaries Aged 65 Years or Older.

Importance: Medicare benefits do not include coverage for eyeglasses except after cataract surgery. Understanding the implications of a change to this policy would require knowing the number of Medicare beneficiaries who use eyeglasses, but no recent estimates are available. Objective: To estimate the number of older adults with Medicare who use eyeglasses. Design, Setting, Participants: This cross-sectional study used data from the 2015 US National Health and Aging Trends Study. Nationally representative data from 7497 respondents were reviewed and sample weights were applied so that the data represented 43.9 million Medicare beneficiaries aged 65 years or older. The estimates were based on the following 4 groupings of beneficiaries: (1) number who used eyeglasses for distance vision correction and had distance vision impairment, (2) number who did not use eyeglasses for distance vision correction and had distance vision impairment, (3) number who used eyeglasses for near vision correction and had near vision impairment, and (4) number who did not use eyeglasses for near vision correction and had near vision impairment. The prevalence of self-reported use of glasses was estimated using the results of this survey and the Medicare enrollment file. Data were analyzed from July 12, 2017, to November 30, 2017. Main Outcomes and Measures: Self-reported use of eyeglasses or contact lenses. Results: Of the estimated 43.9 million Medicare beneficiaries aged 65 years or older in 2015, approximately 40.5 million (92.4%; 95% CI, 91.6%-93.1%) reported using eyeglasses for either distance or near vision correction. Differences in sociodemographics were observed between those who reported using eyeglasses. Individuals who were older, were nonwhite, had lower educational levels, were less affluent, and had prior cataract surgery were significantly less likely to use eyeglasses. Approximately 27 million beneficiaries (61.7%; 95% CI, 60.3%-63.1%) used eyeglasses for distance vision correction, and approximately 37.2 million beneficiaries (84.8%; 95% CI, 83.8%-85.8%) used eyeglasses for near vision correction. Conclusions and Relevance: Potential sociodemographic disparities in eyeglass use by age, race/ethnicity, educational level, and income were identified. This finding suggests that innovative public policy solutions are needed to address these disparities among the large number of Medicare beneficiaries who use eyeglasses.

Association of Social Support Network Size With Receipt of Cataract Surgery in Older Adults.

Importance: Cataract-related vision impairment is an important public health issue that tends to affect older adults. Little is known about the association between older adults' social support networks and their likelihood of receiving cataract surgery. Objective: To determine if older adults with smaller social support networks are less likely to receive cataract surgery. Design, Setting, and Participants: Retrospective cohort study. The National Health and Aging Trends Study, a nationally representative US survey, administered annually from 2011 to 2015 to a cohort of Medicare beneficiaries 65 years and older with no cataract surgery prior to the start of the study. Main Outcomes and Measures: Multivariable logistic regression was performed to evaluate if the number of persons in an individual's social support network influenced whether that individual received cataract surgery during a given year of the study. Results: Overall, 3448 participants were interviewed from 2011 to 2015 for a total of 9760 observations. Of these observations, 3084 (weighted, 38.81%; 95% CI, 37.28-40.35) were aged 70 to 74 years, 5211 (weighted, 52.32%; 95% CI, 50.19-54.44) were women; 5899 (weighted, 78.53%; 95% CI, 76.29-80.61) were white, 2249 (weighted, 9.55%; 95% CI, 8.45-10.78) were black, 537 (weighted, 7.18%; 95% CI, 5.88-8.73) were Hispanic, and 303 (weighted, 4.74%; 95% CI, 3.56-62.9) reported other races. Medicare beneficiaries with smaller social support networks (0-2 individuals) were less likely to receive cataract surgery in a given year (adjusted odds ratio, 0.60; 95% CI, 0.37-0.96) than those with larger support networks (≥3 individuals). The adjusted predicted proportion of Medicare beneficiaries undergoing cataract surgery was 4.7% (95% CI, 2.7%-6.7%) and 7.5% (95% CI, 6.9%-8.1%) for those with small and large social support networks, respectively. Having fewer non-spouse/partner family members in the support network was associated with decreased odds of receiving cataract surgery (adjusted odds ratio, 0.60; 95% CI, 0.43-0.85), but having spouses/partners (adjusted odds ratio, 0.97; 95% CI, 0.77-1.22) and nonfamily members (adjusted odds ratio, 0.90; 95% CI, 0.72-1.11) did not have a significant association. Conclusions and Relevance: Medicare beneficiaries with fewer non-spouse/partner family members in their social support networks were less likely to receive cataract surgery. These findings suggest that attention should be given to patients with smaller support networks to ensure that they receive cataract surgery when it is indicated.

Brand Medications and Medicare Part D: How Eye Care Providers' Prescribing Patterns Influence Costs.

PURPOSE: To quantify costs of eye care providers' Medicare Part D prescribing patterns for ophthalmic medications and to estimate the potential savings of generic or therapeutic drug substitutions and price negotiation. DESIGN: Retrospective cross-sectional study. PARTICIPANTS: Eye care providers prescribing medications through Medicare Part D in 2013. METHODS: Medicare Part D 2013 prescriber public use file and summary file were used to calculate medication costs by physician specialty and drug. Savings from generic or therapeutic drug substitutions were estimated for brand drugs. The potential savings from price negotiation was estimated using drug prices negotiated by the United States Veterans Administration (USVA). MAIN OUTCOME MEASURES: Total cost of brand and generic medications prescribed by eye care providers. RESULTS: Eye care providers accounted for $2.4 billion in total Medicare part D prescription drug costs and generated the highest percentage of brand name medication claims compared with all other providers. Brand medications accounted for a significantly higher proportion of monthly supplies by volume, and therefore, also by total cost for eye care providers compared with all other providers (38% vs. 23% by volume, P < 0.001; 79% vs. 56% by total cost, P < 0.001). The total cost attributable to eye care providers is driven by glaucoma medications, accounting for $1.2 billion (54% of total cost; 72% of total volume). The second costliest category, dry eye medications, was attributable mostly to a single medication, cyclosporine ophthalmic emulsion (Restasis, Allergan, Irvine, CA), which has no generic alternative, accounting for $371 million (17% of total cost; 4% of total volume). If generic medications were substituted for brand medications when available, $148 million would be saved (7% savings); if generic and therapeutic substitutions were made, $882 million would be saved (42% savings). If Medicare negotiated the prices for ophthalmic medications at USVA rates, $1.09 billion would be saved (53% savings). CONCLUSIONS: Eye care providers prescribe more brand medications by volume than any other provider group. Efforts to reduce prescription expenditures by eye care providers should focus on increasing the use of generic medications, primarily through therapeutic substitutions. Policy changes enabling Medicare to negotiate prescription drug prices could decrease costs to Medicare.