Neighborhood Poverty and Clinic Attendance in the Michigan Screening and Intervention for Glaucoma and Eye Health through Telemedicine Program.

PRECIS: Higher neighborhood-level poverty is associated with greater odds of missing a free eye disease screening appointment, underscoring the importance of community-based interventions to address upstream social determinants of health. PURPOSE: To investigate the association between neighborhood-level characteristics and attendance for a free eye disease screening. PATIENTS AND METHODS: The MI-SIGHT program is conducted in two community clinics in Southeastern Michigan. Participant-level demographics were extracted from electronic health records. Neighborhood level-characteristics including Area Deprivation Index (ADI), median household income (HHI), percent of households with >30% rent burden, percent of households without vehicles, percent of households in subsidized housing, and energy burden were obtained from the Wisconsin Neighborhood Atlas and the United States census. Logistic regression was used to model the probability of clinic visit attendance, which was the main outcome measure. RESULTS: 1431 participants were scheduled for screening appointments between July 2020 to November 2021, with a no-show rate of 23%. Individuals lived an average of 7.7 miles from each clinic (SD=8.1) and in neighborhoods with a mean ADI of 6.8 (SD=3.2, 1-10 scale where 10 is the most deprived). After adjusting for age, sex, race, and ethnicity, participants from neighborhoods with higher deprivation were more likely to have missed clinic visits. For example, there was an 8% higher odds of missed clinic visits for every 1-point increase in ADI (odds ratio, OR=1.08, P=0.020) and an 18% higher odds of a missed visit with every 10% increase in households without a vehicle (OR=1.18, P=0.013). CONCLUSION: Higher neighborhood-level poverty was associated with greater odds of missing a free eye disease screening appointment after adjusting for individual characteristics. Increased neighborhood-level resources are likely needed to bolster engagement in preventive eye care.

US youth perspectives on eye trauma and eye protection.

Eye injuries from sports, activities, and work are a leading cause of vision loss in youth. Most eye injuries can be prevented with protective eyewear. An open-ended survey on youth perspectives on eye trauma and protection was administered to the MyVoice Text Message Cohort of US youth ages 14-24 years. Qualitative, text message responses were coded using thematic analysis. The survey was distributed to 798 recipients; 641 (80.3%) responded. Many youth were concerned about the impact of excessive screen use (n = 278 [43.8%]) and sunlight or UV exposure (n = 239 [37.6%]) on their eye health. Fewer were concerned about injury from sports and activities (n = 115 [18.1%]) or job-related eye risks (n = 77 [12.1%]). The most common actions that youth took to protect their eyes included sun protection (eg, sunglasses; n = 300 [47.2%]), refractive correction (eg, glasses, contacts; n = 195 [30.7%]) and screen protection (eg, blue light blocking glasses; n = 159 [25.0%]). Fewer wore eye protection for sports or activities (n = 54 [8.5%]) or work (n = 41 [6.5%]). Youth concerns about eye injury from screens and sunlight are misaligned with the main causes of vision loss in this population, suggesting that public health education is needed to promote optimal eye safety.

Facilitators and Barriers to Weight Loss Among Patients With Idiopathic Intracranial Hypertension.

BACKGROUND: Little is known about motivation for weight loss and barriers to weight loss among patients with idiopathic intracranial hypertension (IIH). Such information is crucial for developing tailored weight management recommendations and novel interventions. METHODS: We administered a survey to patients with IIH presenting to neuro-ophthalmology clinics at The University of Michigan Kellogg Eye Center (Michigan, USA) and St. Thomas' Hospital (London, England). Participants rated importance and motivation to lose weight (1-10 scale; 10 = extremely important/motivated). Facilitators and barriers to weight loss were assessed using open-ended survey questions informed by motivational interviewing methodology. Open-ended responses were coded by 2 team members independently using a modified grounded theory approach. Demographic data were extracted from medical records. Descriptive statistics were used to analyze quantitative responses. RESULTS: Of the 221 (43 Michigan and 178 London) patients with IIH (Table 1), most were female (n = 40 [93.0%] Michigan and n = 167 [94.9%] London). The majority of patients in the United States were White (n = 35 [81.4%] Michigan), and the plurality were Black in the United Kingdom (n = 67 [37.6%] London]) with a mean (SD) BMI of 38.9 kg/m2 (10.6 kg/m2) Michigan and 37.5 kg/m2 (7.7 kg/m2) London. Participants' mean (SD) level of importance to lose weight was 8.5 (2.2) (8.1 [2.3] Michigan and 8.8 [2.1] London), but their mean (SD) level of motivation to lose weight was 7.2 (2.2) (6.8 [2.4] Michigan and 7.4 [2.1] London). Nine themes emerged from the 992 open-ended coded survey responses grouped into 3 actionable categories: self-efficacy, professional resources (weight loss tools, diet, physical activity level, mental health, and physical health), and external factors (physical/environmental conditions, social influences, and time constraints). Most responses (55.6%; n = 551) were about barriers to weight loss. Lack of self-efficacy was the most discussed single barrier (N = 126; 22.9% total, 28.9% Michigan, and 20.4% London) and facilitator (N = 77; 17.5% total, 15.9% Michigan, and 18.7% London) to weight loss. Other common barriers were related to physical activity level (N = 79; 14.3% total, 13.2% Michigan, and 14.8% London) and diet (N = 79; 14.3% total, 9.4% Michigan, and 16.3% London). Commonly reported facilitators included improvements in physical activity level (N = 73; 16.6% total, 18.5% Michigan, and 15.1% London) and dietary changes (N = 76; 17.2% total, 16.4% Michigan, and 17.9% London). CONCLUSIONS: Patients with IIH believe weight loss is important. Self-efficacy was the single most mentioned important patient-identified barrier or facilitator of weight loss, but professional resource needs and external factors vary widely at the individual level. These factors should be assessed to guide selection of weight loss interventions that are tailored to individual patients with IIH.

Association of Contrast Sensitivity With Eye Disease and Vision-Related Quality of Life.

PURPOSE: To investigate contrast sensitivity (CS) as a screening tool to detect eye disease and assess its association with both eye disease and vision-related quality of life. DESIGN: Cross-sectional study. METHODS: Setting and population: Adults receiving care from a free clinic and a Federally Qualified Health Center in Michigan. MAIN OUTCOME MEASURES: Screening positive for eye disease and Visual Function Questionnaire (VFQ) score. OBSERVATION: Participants received a vision exam reviewed via telemedicine for disease, completed a demographic survey, and the 9-item VFQ. The ability of CS to predict eye disease was explored and area under the curve (AUC) is reported. Logistic and linear regression were used to investigate the continuous effect of CS on the probability of screening positive for eye disease and VFQ score, respectively, adjusting for age and visual acuity. RESULTS: 1159 included participants were, on average, 54.9 ± 14.5 years old, 62% identified as female, 34% as White, 54% as Black, 10% as Hispanic/Latino, and reported mean VFQ score of 79.7 ± 15.3. CS ranged from 0.00 to 1.95 log units (mean = 1.54 ± 0.24), 21% of eyes had glaucoma, 19% cataract, 6% DR, and 2% AMD. AUCs were 0.53 to 0.73. A 0.3 log unit decrease in better eye CS was associated with increased odds of glaucoma (odds ratio [OR] = 1.35, confidence interval [CI] = 1.09-1.67), cataract (OR = 1.35, CI = 1.05-1.72), DR (OR = 2.05, CI = 1.51-2.77), and AMD (OR = 2.08, CI = 1.10-3.91). A 0.3 log unit increase in better eye CS was associated with a 5.9 unit increase in VFQ. CONCLUSION: While CS alone is not sufficient to identify people with eye disease, it is an important measure of visual function that can add value to comprehensive eye screening.

Relationship between Unstable Housing, Food Insecurity, and Vision Status in the MI-SIGHT Community Eye Disease Screening Program.

PURPOSE: Assess 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 shop. 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, had ≥ 2 lines of 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 between 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, the average age was 55.1 years (standard deviation = 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 (10.3%); 96 had VI from URE (8.2%), 168 (14.4%) had URE without VI, and 878 (75.3%) had no or adequately corrected RE. A smaller percentage of participants with VI from URE reported having a college degree and a larger percentage reported income < $10 000 compared to participants with no or adequately corrected RE (3.2% versus 14.2%, P = 0.02; 45.5% versus 21.6%, respectively, P < 0.0001. 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 (VFQ9 composite score 67.3 ± 19.6 versus 77.0 ± 14.4 versus 82.2 ± 13.3, respectively; P < 0.0001). 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 shop 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.

Association of Sociodemographic Characteristics with Pediatric Vision Screening and Eye Care: An Analysis of the 2021 National Survey of Children's Health.

PURPOSE: Vision screening and regular eye care can help detect and treat potentially irreversible vision impairment. This study aims to investigate the associations between sociodemographic and health characteristics and the receipt of eye care among children aged 17 years and younger in the United States. DESIGN: This cross-sectional study used data from the National Survey of Children's Health (NSCH), a nationally representative and population-based survey of randomly sampled households. PARTICIPANTS: Participants were children aged 0 to 17 years, residing in all 50 states and the District of Columbia, whose caregivers or parents answered an address-based survey by mail or online. METHODS: Weighted prevalence calculations were applied to analyze the data, and logistic regression was performed to explore associations between reported eye care and demographic, health, and parent-related variables. MAIN OUTCOME MEASURES: Caregiver-reported vision screenings, referral to an eye doctor after vision screening, eye doctor visits, and prescription of corrective lenses. RESULTS: Caregivers reported that 53.2% of children had a vision screening at least once (if child ≤ 5 years) or within the past 2 years (if child > 5 years). Of those screened, 26.9% were referred to an eye doctor. Overall, 38.6% of all children had a previous eye doctor visit, and among them, 55.4% were prescribed corrective lenses during the visit. Factors associated with decreased odds of vision screening included younger age, lack of health care visits, no insurance coverage, parent education high school or less, and lower household income. Non-White ethnicities, households with a non-English primary language, and lower incomes were more likely to be referred to an eye doctor after vision screening. Lower rates of eye doctor visits were associated with younger age, lack of insurance coverage, and primary household languages other than English. CONCLUSIONS: Children from disadvantaged backgrounds are less likely to receive vision screening and eye care. Targeted strategies are needed to increase vision screening and access to eye care services in these vulnerable groups. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.

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.

Association Between Health Insurance and Primary Care Vision Testing Among Children and Adolescents.

This survey study assesses rates of vision testing by pediatrician or other primary care practitioners among insured and uninsured persons aged 3 to 17 years.

Objectively Measured Visual Impairment and Dementia Prevalence in Older Adults in the US.

Importance: Estimates of the association between visual impairment (VI) and dementia in the US population are based on self-reported survey data or measures of visual function that are at least 15 years old. Older adults are at high risk of VI and dementia so there is a need for up-to-date national estimates based on objective assessments. Objective: To estimate the association between VI and dementia in older US adults based on objective visual and cognitive function testing. Design, Setting, and Participants: This secondary analysis of the 2021 National Health and Aging Trends Study (NHATS), a population-based, nationally representative panel study, included 3817 respondents 71 years and older. Data were analyzed from January to March 2023. Intervention: In 2021, NHATS incorporated tablet-based tests of distance and near visual acuity and contrast sensitivity (CS) with habitual correction. Main Outcomes and Measures: VI was defined as distance visual acuity more than 0.30 logMAR, near visual acuity more than 0.30 logMAR, and CS more than 1 SD below the sample mean. Dementia was defined as scoring 1.5 SDs or more below the mean in 1 or more cognitive domains, an AD8 Dementia Screening Interview Score indicating probable dementia, or diagnosed dementia. Poisson regression estimated dementia prevalence ratios adjusted for covariates. Results: Of 2967 included participants, 1707 (weighted percentage, 55.3%) were female, and the median (IQR) age was 76.9 (77-86) years. The weighted prevalence of dementia was 12.3% (95% CI, 10.9-13.7) and increased with near VI (21.5%; 95% CI, 17.7-25.3), distance VI (mild: 19.1%; 95% CI, 13.0-25.2; moderate, severe, or blind: 32.9%; 95% CI, 24.1- 41.8), and CS impairment (25.9%; 95% CI, 20.5-31.3). Dementia prevalence was higher among participants with near VI and CS impairment than those without (near VI prevalence ratio: 1.40; 95% CI, 1.16-1.69; CS impairment prevalence ratio: 1.31; 95% CI, 1.04-1.66) and among participants with moderate to severe distance VI or blindness (prevalence ratio: 1.72; 95% CI, 1.26-2.35) after adjustment for covariates. Conclusions and Relevance: In this survey study, all types of objectively measured VI were associated with a higher dementia prevalence. As most VI is preventable, prioritizing vision health may be important for optimizing cognitive function.

Prevalence of Hearing Loss and Hearing Aid Use Among US Medicare Beneficiaries Aged 71 Years and Older.

Importance: National prevalence estimates are needed to guide and benchmark initiatives to address hearing loss. However, current estimates are not based on samples that include representation of the oldest old US individuals (ie, aged ≥80 years), who are most at-risk of having hearing loss. Objective: To estimate the prevalence of hearing loss and hearing aid use by age and demographic covariates in a large, nationally representative sample of adults aged 71 years and older. Design, Setting, and Participants: In this cohort study, prevalence estimates of hearing loss by age, gender, race and ethnicity, education, and income were computed using data from the 2021 National Health Aging and Trends Study. Survey weights were applied to produce nationally representative estimates to the US older population. Data were collected from June to November 2021 and were analyzed from November to December 2022. Main Outcomes and Measures: Criterion-standard audiometric measures of hearing loss and self-reported hearing aid use. Results: In this nationally representative sample of 2803 participants (weighted estimate, 33.1 million individuals) aged 71 years or older, 38.3% (95% CI, 35.5%-41.1%) were aged 71 to 74 years, 36.0% (95% CI, 33.1%-38.8%) were aged 75 to 79 years, 13.8% (95% CI, 12.6%-14.9%) were aged 80 to 84 years, 7.9% (95% CI, 7.2%-8.6%) were aged 85 to 89 years, and 4.0% (95% CI, 3.5%-4.6%) were aged 90 years or older; 53.5% (95% CI, 50.9%-56.1%) were female and 46.5% (95% CI, 43.9%-49.1%) were male; and 7.5% (95% CI, 6.2%-8.7%) were Black, 6.5% (95% CI, 4.4%-8.7%) were Hispanic, and 82.7% (95% CI, 79.7%-85.6%) were White. An estimated 65.3% of adults 71 years and older (weighted estimate, 21.5 million individuals) had at least some degree of hearing loss (mild, 37.0% [95% CI, 34.7%-39.4%]; moderate, 24.1% [95% CI, 21.9%-26.4%]; and severe, 4.2% [95% CI, 3.3%-5.3%]). The prevalence was higher among White, male, lower-income, and lower education attainment subpopulations and increased with age, such that 96.2% (95% CI, 93.9%-98.6%) of adults aged 90 years and older had hearing loss. Among those with hearing loss, only 29.2% (weighted estimate, 6.4 million individuals) used hearing aids, with lower estimates among Black and Hispanic individuals and low-income individuals. Conclusions and Relevance: These findings suggest that bilateral hearing loss is nearly ubiquitous among older US individuals, prevalence and severity increase with age, and hearing aid use is low. Deeper consideration of discrete severity measures of hearing loss in this population, rather than binary hearing loss terminology, is warranted.

Parental knowledge and behaviors related to prevention and early detection of eye problems in US children.

We documented parental knowledge and actions around children's eye health using a cross-sectional, nationally representative survey of parents of children 3-18 years of age. Parents more frequently reported their child's vision was tested at a primary care visit than school, and many were unsure whether their child received school vision testing. One in 10 children with a possible eye problem had not seen an eye doctor in the previous 2 years. Many parents do not have their child wear eye protection during high-risk activities.

Social Deprivation and the Risk of Screening Positive for Glaucoma in the MI-SIGHT Telemedicine-Based Glaucoma Detection Program.

PURPOSE: To assess whether increased poverty is associated with increased risk of screening positive for glaucoma or suspected glaucoma in a large public screening and intervention program. DESIGN: Cross-sectional study from 2020 to 2022. PARTICIPANTS: Adults ≥ 18 years old without acute ocular symptoms. METHODS: Michigan Screening and Intervention for Glaucoma and eye Health through Telemedicine (MI-SIGHT) program participants' sociodemographic characteristics and area deprivation index (ADI) values were summarized from the clinical sites, which included a free clinic and a Federally Qualified Health Center (FQHC). The ADI, a composite measure of neighborhood deprivation (range, 1-10; 10 is worst deprivation), was assigned on the basis of the participants' addresses. Group comparisons were performed via 2-sample t tests or Wilcoxon Mann-Whitney tests for continuous measures and chi-square tests or Fisher exact tests with Monte Carlo simulation for categorical measures; Holm adjustment was used for multiple comparisons. MAIN OUTCOME MEASURES: Risk factors for screening positive for glaucoma or suspected glaucoma. RESULTS: Of the 1171 enrolled participants, 1165 (99.5%) completed the screening: 34% at the free clinic and 66% at the FQHC. Participants were on average aged 55.1 ± 14.5 years, 62% were women, 54% self-reported as Black/African-American, 34% White, 10% Hispanic or Latino, and 70% earned < $30 000 annually. The mean ADI was 7.2 ± 3.1. The FQHC had higher (worse) ADI than the free clinic (free clinic: 4.5 ± 2.9, FQHC: 8.5 ± 2.1, P < 0.0001). One-quarter (24%) of participants screened positive for glaucoma or suspected glaucoma. Screening positive for glaucoma or suspected glaucoma was associated with being older (P = 0.01), identifying as Black/African-American (P = 0.0001), having an established eyecare clinician (P = 0.0005), and not driving a personal vehicle to the appointment (P = 0.001), which is a proxy for increased poverty. Participants who screened positive had worse ADI than those who screened negative (7.7 ± 2.8 vs. 7.0 ± 3.2, P = 0.002). A larger percentage of White participants screened positive at the FQHC compared with White participants at the free clinic (21.3% vs. 12.3%, P = 0.01). FQHC White participants had worse ADI than free clinic White participants (7.5 ± 2.5 vs. 3.7 ± 2.7, P < 0.0001). CONCLUSIONS: Personal poverty, assessed as not driving a personal vehicle to the appointment, and neighborhood-level poverty were both associated with increased rates of screening positive for glaucoma or suspected glaucoma. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

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.

Population Prevalence of Vision Impairment in US Adults 71 Years and Older: The National Health and Aging Trends Study.

Importance: Existing estimates of the prevalence of vision impairment (VI) in the United States are based on self-reported survey data or measures of visual function that are at least 14 years old. Older adults are at high risk for VI and blindness. There is a need for up-to-date, objectively measured, national epidemiological estimates. Objective: To present updated national epidemiological estimates of VI and blindness in older US adults based on objective visual function testing. Design, Setting, and Participants: This survey study presents a secondary data analysis of the 2021 National Health and Aging Trends Study (NHATS), a population-based, nationally representative panel study of Medicare beneficiaries 65 years and older. NHATS includes community-dwelling older adults or their proxies who complete in-person interviews; annual follow-up interviews are conducted regardless of residential status. Round 11 NHATS data were collected from June to November 2021, and data were analyzed in August 2022. Interventions: In 2021, NHATS incorporated tablet-based tests of distance and near visual acuity and contrast sensitivity with habitual correction. Main Outcomes and Measures: National prevalence of impairment in presenting distance visual acuity (>0.30 logMAR, Snellen equivalent worse than 20/40), presenting near visual acuity (>0.30 logMAR, Snellen equivalent worse than 20/40), and contrast sensitivity (>1 SD below the sample mean). Prevalence estimates stratified by age and socioeconomic and demographic data were calculated. Results: In the 2021 round 11 NHATS sample, there were 3817 respondents. After excluding respondents who did not complete the sample person interview (n = 429) and those with missing vision data (n = 362), there were 3026 participants. Of these, 29.5% (95% CI, 27.3%-31.8%) were 71 to 74 years old, and 55.2% (95% CI, 52.8%-57.6%) were female respondents. The prevalence of VI in US adults 71 years and older was 27.8% (95% CI, 25.5%-30.1%). Distance and near visual acuity and contrast sensitivity impairments were prevalent in 10.3% (95% CI, 8.9%-11.7%), 22.3% (95% CI, 20.3%-24.3%), and 10.0% (95% CI, 8.5%-11.4%), respectively. Older age, less education, and lower income were associated with all types of VI. A higher prevalence of near visual acuity and contrast sensitivity impairments was associated with non-White race and Hispanic ethnicity. Conclusions and Relevance: More than 1 in 4 US adults 71 years and older had VI in 2021, higher than prior estimates. Differences in the prevalence of VI by socioeconomic and demographic factors were observed. These data could inform public health planning.

Barriers and facilitators of vision screening in the US pediatric primary care setting: a mixed methods systematic review protocol.

OBJECTIVE: The objective of this review is to understand the barriers and facilitators of vision screening in the US primary care setting for children aged 3 to 17 years. INTRODUCTION: Childhood vision screening is crucial because it detects children at risk of undiagnosed vision problems. Previous studies report low rates of appropriate vision screening in the primary care setting. We aim to identify barriers and facilitators of pediatric primary care vision screening to inform future interventions to improve childhood vision screening. INCLUSION CRITERIA: Studies of all types that identify barriers and facilitators of vision screening in children aged 3 to 17 years in the pediatric primary care setting in the US will be considered for inclusion. METHODS: We will search PubMed, CINAHL Complete (EBSCO), Scopus, Web of Science (SCI-EXPANDED, ESCI, CPCI-S, SSCI), Cochrane Library, and Embase. We will also search gray literature, including conference proceedings, professional organization reports, and clinical trials. We will use supplemental search strategies, including citation tracking and contacting authors for unpublished data. Titles and abstracts will be screened independently by 2 reviewers and selected for full-text screening based on prespecified inclusion criteria. Only studies in English will be considered. Each included study will be appraised using the mixed methods appraisal tool. Data will be extracted using a modified JBI mixed methods data extraction form. Qualitative and quantitative data will be integrated using a convergent integrated approach. DETAILS OF THE REVIEW AVAILABLE AT: Open Science Framework https://osf.io/nhf5d/.

Maximize Donor Cornea Use in a Hepatitis B Endemic Area via Serology Matching.

BACKGROUND: This study aims to investigate the rationality of the allocation guidelines in a hepatitis B endemic area that uses corneas from hepatitis B donors. METHODS: Under Taiwan's current guidelines, corneas donated from hepatitis B surface antigen (HBsAg)(+) donors can be allocated to HBsAg(+) or hepatitis B surface antibody recipients. From January 1, 2015, to December 31, 2019, corneas donated to National Taiwan University Hospital were divided into HBsAg(+), HBsAg(-)/hepatitis B core antibody (anti-HBc)(+), and HBsAg(-)/anti-HBc(-) groups. Hepatitis B virus (HBV) DNA extracted from corneoscleral rims was quantified by polymerase chain reaction and correlated with donor serum HBsAg, anti-HBc, and HBV DNA. Recipients of HBV DNA(+) grafts were called back for serology and serum HBV DNA tests. RESULTS: The corneoscleral HBV DNA of 170 corneas (113 donors) was quantified, of which 45 corneas were from 28 HBsAg(+) donors, 87 were from 57 HBsAg(-)/anti-HBc(+) donors, and 38 were from 28 HBsAg(-)/anti-HBc(-) donors, and HBV DNA was detected in 80.0%, 9.2%, and 0% of the corneoscleral rims in each group. Donor anti-HBc(+) provided the highest sensitivity (1.00) and negative predictive value (1.00) for corneoscleral HBV DNA. Twenty-eight of 40 recipients (70%) using HBV DNA(+) grafts were called back, and none developed hepatitis in follow-up periods ranging from 6 to 55.5 mo. CONCLUSIONS: Donor anti-HBc should be tested routinely with HBsAg. Allocating corneas from HBsAg(+) or anti-HBc(+) donors to HBsAg(+) or hepatitis B surface antibody recipients maximizes cornea usage from hepatitis B donors without compromising transplant safety in a hepatitis B endemic setting.

Glaucoma Medication Adherence 1 Year after the Support, Educate, Empower Personalized Glaucoma Coaching Program.

PURPOSE: To assess the efficacy of the Support, Educate, Empower (SEE) glaucoma coaching program on medication adherence among poorly adherent patients with glaucoma for 12 months after cessation of the intervention. DESIGN: Uncontrolled intervention study with a pre-post design. PARTICIPANTS: The SEE cohort was recruited from the University of Michigan and included patients with glaucoma aged ≥ 40 years, taking ≥ 1 medication, who self-reported poor adherence. Electronic medication monitoring of those who completed the program continued for up to 1 year after the coaching intervention. METHODS: Adherence was monitored electronically (AdhereTech) during the 7-month program and 12-month follow-up period. Adherence was the percentage of doses taken on time. Participants were censored for surgery, change in glaucoma medications, or adherence monitor disuse. The SEE program included automated medication reminders, 3 in-person motivational interviewing-based counseling sessions with a glaucoma coach, and 5 phone calls with the coach for between-session support. There was no contact between the study team and participants during the 12-month follow-up after program cessation. Baseline participant characteristics were summarized with descriptive statistics. Paired t tests and Wilcoxon signed rank tests were used to investigate significant changes in monthly adherence during follow-up. MAIN OUTCOME MEASURES: Change in electronically monitored medication adherence over the 12 months following the conclusion of the SEE program. RESULTS: Of 48 participants, 39 (81%) completed the SEE program and continued electronic medication monitoring for up to 1 year after program cessation. The mean age of the participants was 64 years (standard deviation [SD], 10); of the 39 participants, 56% were male, 49% were Black, and 44% were White. The mean length of follow-up was 284 days (SD, 110; range, 41-365 days). Censoring occurred in 18 (56%) participants. The mean adherence during the follow-up period was 67% (SD, 22%). This was significantly lower than the adherence during the SEE program (mean, 81%; SD, 18%; P < 0.0001) but significantly higher than the baseline preprogram adherence (mean, 60%; SD, 18%; P = 0.0393). The largest monthly losses occurred at months 1 (mean, 7%; P = 0.0001) and 4 (mean, 6%; P = 0.0077). CONCLUSIONS: Glaucoma medication adherence decreased significantly in the year after cessation of the SEE coaching program but remained significantly higher than baseline adherence. To maintain excellent long-term medication adherence, intermittent reinforcement sessions may be necessary.

Access to eye care and prevalence of refractive error and eye conditions at a high school-based eye clinic in southeastern Michigan.

PURPOSE: To analyze clinical and demographic data from a twice monthly optometrist-run comprehensive eye program at a high school in a community with high rates of poverty. METHODS: Students received comprehensive eye examinations. We collected demographic and ocular data on 429 initial visits from February 2015 to July 2019. Follow-up visits were excluded. RESULTS: The average student age was 14.2 ± 2.7 years. Of the total, 55.7% were female, 59.7% were Black, and 61.7% had Medicaid. Of the total, 70.2% had a previous eye examination, 60.8% had worn glasses previously, and 24.1% still wore glasses. Hispanic students were less likely than non-Hispanic students to have had a prior eye examination (59.1% vs 75.3% [P = 0.022]) or worn glasses (47.8% vs 63.8% [P = 0.035]). Black students had significantly worse presenting visual acuity in the better seeing eye than White students (logMAR 0.22 vs 0.13 [P = 0.0004]). Of the 256 Black students, 62.7% had improvement of two or more lines, compared with 42.9% of White students (P = 0.01). Of the students who participated, 74.0% received glasses following their examination, and 21 required referrals to ophthalmologists, of whom 13 attended the appointment. CONCLUSIONS: The high school-based clinic identified high rates of uncorrected refractive error, highlighting the benefit of a school-based eye clinic in a population with high rates of poverty. There were concerning racial and ethnic disparities in prior eye care.