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1.
Ophthalmology ; 2024 Apr 30.
Article in English | MEDLINE | ID: mdl-38697267

ABSTRACT

PURPOSE: To assess changes in vision care availability at Federally Qualified Health Centers (FQHCs) between 2017 and 2021 and whether neighborhood-level demographic social risk factors (SRFs) associated with eye care services provided by FQHCs. DESIGN: Secondary data analysis of the Health Resources and Services Administration (HRSA) data and 2017-2021 American Community Survey (ACS). PARTICIPANTS: Federally Qualified Health Centers. METHODS: Patient and neighborhood characteristics for SRFs were summarized. Differences in FQHCs providing and not providing vision care were compared via Wilcoxon-Mann-Whitney tests for continuous measures and chi-square tests for categorical measures. Logistic regression models were used to test the associations between neighborhood measures and FQHCs providing vision care, adjusted for patient characteristics. MAIN OUTCOME MEASURES: Odds ratios (ORs) with 95% confidence intervals (CIs) for neighborhood-level predictors of FQHCs providing vision care services. RESULTS: Overall, 28.5% of FQHCs (n = 375/1318) provided vision care in 2017 versus 32% (n = 435/1362) in 2021 with some increases and decreases in both the number of FQHCs and those with and without vision services. Only 2.6% of people who accessed FQHC services received eye care in 2021. Among the 435 FQHCs that provided vision care in 2021, 27.1% (n = 118) had added vision services between 2017 and 2021, 71.5% (n = 311) had been offering vision services since at least 2017, and 1.4% (n = 6) were newly established. FQHCs providing vision care in 2021 were more likely to be in neighborhoods with a higher percentage of Hispanic/Latino individuals (OR, 1.08, 95% CI, 1.02-1.14, P = 0.0094), Medicaid-insured individuals (OR, 1.08, 95% CI, 1.02-1.14, P = 0.0120), and no car households (OR, 1.07, 95% CI, 1.01-1.13, P = 0.0142). However, FQHCs with vision care, compared to FQHCs without vision care, served a lower percentage of Hispanic/Latino individuals (27.2% vs. 33.9%, P = 0.0007), Medicaid-insured patients (42.8% vs. 46.8%, P < 0.0001), and patients living at or below 100% of the federal poverty line (61.3% vs. 66.3%, P < 0.0001). CONCLUSIONS: Vision care services are available at a few FQHCs, localized to a few states. Expanding eye care access at FQHCs would meet patients where they seek care to mitigate vision loss to underserved communities. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.

2.
Ophthalmic Epidemiol ; 31(2): 169-177, 2024 Apr.
Article in English | MEDLINE | ID: mdl-37345877

ABSTRACT

PURPOSE: To investigate domestic violence (DV)-related ocular injuries among adult emergency department (ED) patients in the US. METHODS: This was a retrospective, cross-sectional study of patients with a diagnosis of DV and diagnosis of ocular injury in the Nationwide Emergency Department Sample (NEDS) from 2008-2017. We identified patient- and hospital-level variables associated with DV-related ocular injuries. We calculated annual incidence rates using US Census data. Adjusting for inflation using the Consumer Price Index, we calculated mean and total charges. RESULTS: From 2008-2017, there were 26,215 ED visits for ocular injuries related to DV with an average incidence of 1.09 per 100,000 adult population (female patients, 84.5%; mean age [SE], 34.3 [0.2]). DV-related ocular injuries were most prevalent among patients in the lowest income quartile (39.1%) and on Medicaid (37.4%). Most ED visits presented to metropolitan teaching (55.4%), non-trauma (46.7%), and south regional (30.5%) hospitals. The most common ocular injury was contusion of eye/adnexa (61.1%). The hospital admission rate was 5.2% with a mean hospital stay of 2.9 [0.2]. The inflation-adjusted mean cost for medical services was $38,540 [2,310.8] per encounter with an average increase of $2,116 per encounter, annually. The likelihood of hospital admission increased for patients aged ≥60 years old, on Medicare, and with open globes or facial/orbital fractures (all p < .05). CONCLUSION: Contusion of the eye/adnexa was the most common ocular injury among patients with DV-related ED visits. To better facilitate referrals to social services, ophthalmologists should utilize DV screenings, especially towards women and patients of less privileged socioeconomic status.


Subject(s)
Contusions , Domestic Violence , Eye Injuries , Adult , Humans , Aged , Female , United States/epidemiology , Middle Aged , Cross-Sectional Studies , Retrospective Studies , Medicare , Eye Injuries/epidemiology , Emergency Service, Hospital
3.
J AAPOS ; 27(6): 335.e1-335.e8, 2023 12.
Article in English | MEDLINE | ID: mdl-37931837

ABSTRACT

PURPOSE: To study the epidemiology of all domestic violence (DV)-related ocular injuries among pediatric emergency department (ED) patients in the United States. METHODS: This is a retrospective, cross-sectional study of isolated children (<18 years of age) with a diagnosis of DV and primary or secondary diagnosis of ocular injuries in the Nationwide Emergency Department Sample, 2008-2017. We calculated annual incidence of DV-related ocular injuries and prevalence by demographic variables, including age, sex, and income quartile. Median charges, median length of inpatient hospital stay, and factors associated with hospitalization were also measured. RESULTS: From 2008 to 2017, there were 4,125 ED encounters, with an average incidence of 0.56 per 100,000 population (males, 50.0%; mean age [SE], 9.2 [0.3]). Patients in the lowest income quartile (42.6%) and with Medicaid insurance (63.2%) were the most prevalent. The most common known perpetrator was a family member (29.4%). Most ED encounters took place at southern regional (28.6%), metropolitan teaching (67.1%) and designated trauma hospitals (57.8%). Contusion of the eye/adnexa and being struck by or against an object were the most common ocular diagnosis and known mechanism of injury, respectively. An estimated 12.4% of patients were admitted with a median hospital stay of 4 (IQR, 2-6). Median charges during the study period were $27,415.10 (IQR, $13,142.70-$54,454.90). CONCLUSIONS: DV-related ocular injuries were most prevalent among patients with a low socioeconomic status. Given the historical underreporting of DV, future studies are warranted to identify more specific social determinants of health that contribute to such presentations.


Subject(s)
Domestic Violence , Eye Injuries , Male , Child , Humans , United States/epidemiology , Retrospective Studies , Cross-Sectional Studies , Eye Injuries/epidemiology , Emergency Service, Hospital
4.
J Correct Health Care ; 29(5): 329-337, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37733299

ABSTRACT

The purpose of this study was to investigate the prevalence of and factors associated with visual impairment among adults with a history of criminal justice involvement (CJI). This retrospective, cross-sectional study reviewed adult respondents from the 2015-2018 National Survey on Drug Use and Health. We analyzed sociodemographic and health characteristics to determine factors associated with visual impairment among adults with and without a history of CJI. In this national, population-based study, we found similar rates of visual impairment among adults with and without CJI (5.7% vs. 4.2%, p < .001). However, adults with CJI were more likely to report visual impairment at a younger age. Among adults with CJI, visual impairment was associated with female sex, older age, Black/African American race, less education, lower income, and chronic health conditions (including diabetes, heart disease, respiratory illness, mental health symptoms, and hearing impairment). CJI in the past year (probation [adjusted odds ratio, AOR, 0.70; 95% confidence interval, CI, 0.53-0.93]; one arrest [AOR, 1.47; 95% CI, 1.14-1.89]; two or more arrests [AOR, 1.73; 95% CI, 1.29-2.33]) was uniquely associated with visual impairment among adults with a CJI history (p < .05 for all relationships). Research, screening, and treatment for visual impairment should include those with justice involvement to improve health equity.

5.
Annu Rev Vis Sci ; 9: 15-37, 2023 09 15.
Article in English | MEDLINE | ID: mdl-37254050

ABSTRACT

This narrative review summarizes the literature on factors related to eye care access and utilization in the United States. Using the Healthy People 2030 framework, this review investigates social determinants of health associated with general and follow-up engagement, screenings, diagnostic visits, treatment, technology, and teleophthalmology. We provide hypotheses for these documented eye care disparities, featuring qualitative, patient-centered research. Lastly, we provide recommendations in the hopes of appropriately eliminating these disparities and reimagining eye care.


Subject(s)
Ophthalmology , Telemedicine , Humans , Vision Disparity
6.
J Racial Ethn Health Disparities ; 10(4): 1790-1797, 2023 08.
Article in English | MEDLINE | ID: mdl-35864353

ABSTRACT

BACKGROUND: Visit no-shows (NS) reduce clinic efficiency and effective resource allocation. Inadequate follow-up among patients with chronic eye disease increases risk of disease progression. Our study identifies demographic, medical, and socioeconomic characteristics that increase odds of NS among patients with chronic eye conditions at high risk of vision-threatening complications. METHODS: This is a retrospective case-control study of data abstracted over a 5-year period (January 2013-December 2018) in an urban academic ophthalmology practice. Follow-up appointments of patients ≥ 18 years of age with a diagnosis of glaucoma, diabetic retinopathy, or age-related macular degeneration were included. Age, sex, race, ethnicity, language preference, zip code, and relevant medical history were recorded. A multivariate mixed logistic regression model was utilized to determine any association between demographic factors and visit NS. RESULTS: A total of 106,652 visits for 4,598 unique patients were included in this study. Of these, 13,240 (12.4%) visits were NS. Patient characteristics that increased the odds of NS included Hispanic ethnicity (p < 0.0001), Black race (p < 0.0001), and a history of mental illness (p < 0.0001). Socioeconomic factors that increased the odds of NS included median household income < $40,000 (p = 0.002), Medicare insurance (p < 0.0001), and Medicaid insurance (p < 0.0001). CONCLUSIONS: Our results highlight the influence of ethnic, racial, medical, and socioeconomic characteristics on appointment NS among patients with chronic eye disease. Future interventions aimed at reducing appointment NS could channel resources to the at-risk populations identified in this analysis to improve access to care for those who need it most.


Subject(s)
Eye Diseases , Medicare , Humans , Aged , United States , Retrospective Studies , Socioeconomic Disparities in Health , Case-Control Studies , Health Services Accessibility , Healthcare Disparities , White
7.
Transl Vis Sci Technol ; 11(9): 7, 2022 09 01.
Article in English | MEDLINE | ID: mdl-36107113

ABSTRACT

Purpose: The purpose of this study was to evaluate the impact of image processing on quantitative metrics in optical coherence tomography angiography (OCTA) images and study conclusions in patients with diabetes. Methods: This was a single center, retrospective cross-sectional study. OCTA imaging with the Cirrus HD-OCT 5000 AngioPlex of patients with diabetes was performed. The 8 × 8 mm superficial slab images underwent 4 different preprocessing methods (none, background subtraction [BGS], foveal avascular zone brightness adjustment, and contrast limited adaptive histogram equalization [CLAHE]) followed by 4 different binarization algorithms (global Huang, global Otsu, local Niblack, and local Phansalkar) in ImageJ. Vessel density (VD), skeletonized VD (SVD), and fractal dimension (FD) were calculated. Mixed-effect multivariate linear regressions were performed. Results: Two hundred eleven scans from 104 patients were included. Of these scans, 67 (31.8%) had no diabetic retinopathy (DR), 99 (46.9%) had nonproliferative DR (NPDR), and 45 (21.3%) had proliferative DR (PDR). Forty-eight of 211 (22.7%) scans had diabetic macular edema (DME). The image processing method used significantly impacted values of VD, SVD, and FD (all P -values < 0.001). On multivariate analysis, the image processing method changed the clinical variables significantly associated with VD, SVD, and FD. However, BGS and CLAHE yielded more consistent significant covariates across multiple binarization algorithms. Conclusions: The image processing method can impact the conclusions of any given study analyzing quantitative OCTA metrics. Thus, caution is urged in the interpretation of such studies. Background subtraction or CLAHE may play a role in the standardization of image processing. Translational Relevance: This work proposes strategies to achieve robust and consistent analysis of OCTA imaging, which is especially important for clinical trials.


Subject(s)
Diabetes Mellitus , Diabetic Retinopathy , Macular Edema , Algorithms , Cross-Sectional Studies , Diabetic Retinopathy/diagnostic imaging , Fluorescein Angiography/methods , Humans , Macular Edema/diagnostic imaging , Macular Edema/etiology , Retinal Vessels/diagnostic imaging , Retrospective Studies , Tomography, Optical Coherence/methods
8.
Ophthalmology ; 129(10): e146-e149, 2022 10.
Article in English | MEDLINE | ID: mdl-36058733

ABSTRACT

Data provide an opportunity to discover disparities and inequities that may otherwise be unrecognized. Within the American Academy of Ophthalmology (AAO) Task Force on Disparities in Eye Care, the Leveraging Data Sub-task Force was charged with identifying data sources to study health disparities in eye care and to leverage data to advance health equity. We evaluated large data sources to determine their strengths, deficiencies, and relative accessibility in relation to the likelihood of identifying eye care disparities. We highlight the current challenges with these data sources and review key recommendations for improving future sources for studying health disparities in eye care.


Subject(s)
Ophthalmology , Academies and Institutes , Healthcare Disparities , Humans , Information Storage and Retrieval , United States
10.
Sci Rep ; 12(1): 13775, 2022 08 12.
Article in English | MEDLINE | ID: mdl-35962007

ABSTRACT

Optical coherence tomography angiography (OCTA) is an emerging non-invasive technique for imaging the retinal vasculature. While there are many promising clinical applications for OCTA, determination of image quality remains a challenge. We developed a deep learning-based system using a ResNet152 neural network classifier, pretrained using ImageNet, to classify images of the superficial capillary plexus in 347 scans from 134 patients. Images were also manually graded by two independent graders as a ground truth for the supervised learning models. Because requirements for image quality may vary depending on the clinical or research setting, two models were trained-one to identify high-quality images and one to identify low-quality images. Our neural network models demonstrated outstanding area under the curve (AUC) metrics for both low quality image identification (AUC = 0.99, 95%CI 0.98-1.00, [Formula: see text] = 0.90) and high quality image identification (AUC = 0.97, 95%CI 0.96-0.99, [Formula: see text] = 0.81), significantly outperforming machine-reported signal strength (AUC = 0.82, 95%CI 0.77-0.86, [Formula: see text]= 0.52 and AUC = 0.78, 95%CI 0.73-0.83, [Formula: see text] = 0.27 respectively). Our study demonstrates that techniques from machine learning may be used to develop flexible and robust methods for quality control of OCTA images.


Subject(s)
Deep Learning , Tomography, Optical Coherence , Fluorescein Angiography/methods , Humans , Neural Networks, Computer , Retinal Vessels/diagnostic imaging , Tomography, Optical Coherence/methods
12.
Ophthalmology ; 129(1): 15-25, 2022 01.
Article in English | MEDLINE | ID: mdl-34245753

ABSTRACT

PURPOSE: To identify disparities in the use of telemedicine during the coronavirus disease 2019 (COVID-19) pandemic. DESIGN: A cross-sectional study of completed clinical encounters in an academic ophthalmology center from March 2020 through August 2020. PARTICIPANTS: A total of 5023 patients comprising 8116 ophthalmic clinical encounters. METHODS: Medical charts were abstracted for demographic information. We identified zip code-level socioeconomic characteristics, which were drawn from the 2019 American Community Survey 5-year estimates. MAIN OUTCOME MEASURES: The completion of a synchronous video encounter, the completion of a telephone (audio-only) encounter in the absence of any video encounters, or the completion of in-person encounters only. RESULTS: During the study period, 8116 total clinical encounters were completed for 5023 unique patients. Of these patients, 446 (8.9%) participated in a video encounter, 642 (12.8%) completed a telephone encounter, and 3935 (78.3%) attended clinical appointments in person only. In adjusted analysis, patients who were Black (odds ratio [OR], 0.65; 95% confidence interval [CI], 0.52-0.80; P < 0.001) or Hispanic/Latino (OR, 0.65; 95% CI, 0.49-0.85; P = 0.002) were significantly less likely to complete a video or telephone appointment. Older patients (OR, 0.99; 95% CI, 0.98-0.99; P < 0.001), patients whose primary language was not English (OR, 0.49; 95% CI, 0.28-0.82; P = 0.01), Black patients (OR, 0.45; 95% CI, 0.32-0.62; P < 0.001), and Hispanic/Latino patients (OR, 0.56; 95% CI, 0.37-0.83; P = 0.005) were significantly less likely to complete a video encounter. Finally, among patients completing any type of telemedicine encounter, older age, (OR, 1.02; 95% CI, 1.01-1.03; P < 0.001), Medicare insurance (OR, 1.55; 95% CI, 1.11-2.17; P = 0.01), and Black race (OR, 1.97; 95% CI, 1.33-2.94; P < 0.001) were associated with using only phone visits. CONCLUSIONS: Ethnic/racial minorities, older patients, and non-English-speaking individuals were significantly less likely to complete a video telehealth encounter. With the expansion of telemedicine and the need to reduce the disparate impact of COVID-19 on minorities, it will be increasingly important to identify barriers to telehealth use and opportunities to improve access.


Subject(s)
COVID-19/epidemiology , Delivery of Health Care/statistics & numerical data , Healthcare Disparities/statistics & numerical data , Ophthalmology/statistics & numerical data , SARS-CoV-2 , Socioeconomic Factors , Telemedicine/statistics & numerical data , Adult , Aged , Aged, 80 and over , Appointments and Schedules , Cross-Sectional Studies , Ethnic and Racial Minorities/statistics & numerical data , Female , Health Services Accessibility/statistics & numerical data , Humans , Male , Medicare/statistics & numerical data , Middle Aged , Minority Groups/statistics & numerical data , Retrospective Studies , Telephone , United States/epidemiology , Young Adult
13.
JAMA Ophthalmol ; 140(2): 132-133, 2022 02 01.
Article in English | MEDLINE | ID: mdl-34913957
16.
Am J Prev Med ; 61(6): 900-909, 2021 12.
Article in English | MEDLINE | ID: mdl-34426057

ABSTRACT

INTRODUCTION: This study determines the prevalence and associated correlates of people unaware of their diabetic retinopathy diagnosis in the U.S. METHODS: Participants unaware of diabetic retinopathy from the National Health and Nutrition Examination Survey from 2005 to 2008 were identified. The prevalence of those unaware of their diabetic retinopathy diagnosis was determined. Descriptive statistics and logistic regression were used to determine correlates associated with being unaware of one's diabetic retinopathy diagnosis (completed in 2018‒2020). RESULTS: Among 5,563 participants aged ≥40 years who underwent fundus photography, the prevalence of those unaware of their diabetic retinopathy diagnosis was 10.6% (9.8 million). This included 23.1% of those with self-reported diabetes (2.9 million) and 6.8% of those who reported not having diabetes (6.9 million). Among participants reporting diabetes with photographic evidence of retinopathy, 70.1% were unaware. Among individuals with self-reported diabetes, correlates of being unaware of one's diabetic retinopathy diagnosis included diabetes diaganosis for ≥10 years (OR=3.15, 95% CI=1.78, 5.56), HbA1c ≥6.5% (OR=2.92, 95% CI=1.65, 5.18), and treatment with insulin only (OR=4.04, 95% CI=1.43, 11.39). Self-reported hypertension was associated with decreased odds of undiagnosed diabetic retinopathy (OR=0.48, 95% CI=0.28, 0.82). Among those without self-reported diabetes, correlates of being unaware of diabetic retinopathy included older age (OR=1.02, 95% CI=1.01, 1.04), male sex (OR=1.83, 95% CI=1.31, 2.56), Black race (OR=1.81, 95% CI=1.12, 2.92), Hispanic race/ethnicity (OR=1.60, 95% CI=1.14, 2.25), elevated blood pressure (OR=1.54, 95% CI=1.23, 1.93), current smoking (OR=1.74, 95% CI=1.21, 2.51), and history of stroke (OR=2.20, 95% CI=1.06, 4.58). CONCLUSIONS: A substantial proportion of individuals with diabetic retinopathy are unaware of the diagnosis. These data provide a path toward refining efforts to diagnose and treat diabetic retinopathy to decrease the burden of preventable blindness.


Subject(s)
Diabetes Mellitus , Diabetic Retinopathy , Aged , Cross-Sectional Studies , Diabetic Retinopathy/diagnosis , Diabetic Retinopathy/epidemiology , Humans , Male , Nutrition Surveys , Prevalence , Risk Factors
17.
Ophthalmology ; 128(8): 1129-1134, 2021 08.
Article in English | MEDLINE | ID: mdl-33440211

ABSTRACT

PURPOSE: The current demographics of the ophthalmology workforce do not reflect the diverse United States population, which has implications for addressing health disparities. The demographics of ophthalmology department faculty may influence the recruitment of underrepresented students into the field. This study sought to determine how the racial and ethnic demographics of ophthalmology department faculty compare with those of other clinical departments at United States medical schools. DESIGN: Secondary data analysis of medical school faculty demographic data from the 2019 American Association of Medical Colleges (AAMC) Faculty Roster. PARTICIPANTS: Clinical faculty and department chairs at United States medical schools. METHODS: We analyzed the racial and ethnic demographics of clinical department faculty and department chairpersons using data from the 2019 AAMC Faculty Roster. We calculated the proportion of underrepresented minority (URM) faculty in ophthalmology and in 17 other clinical departments. We analyzed these data for statistically significant differences between ophthalmology and other clinical departments. In addition, we compared the percentage of URM ophthalmology faculty with the proportion of URM persons among graduating United States medical students and in the United States population using data from the Medical School Graduation Questionnaire and the United States census, respectively. MAIN OUTCOME MEASURES: The proportion of URM persons, defined as Black, Hispanic or Latino, Native American, or Native Hawaiian or Pacific Islander among clinical faculty and department chairs. RESULTS: Ophthalmology faculty are less racially and ethnically diverse than graduating medical students and the general United States population. When compared with 17 other clinical departments, ophthalmology has the third-lowest proportion of URM faculty, with only radiology and orthopedic surgery having a smaller proportion of URM faculty. These differences were statistically significant in most departments (12 of 18). No statistically significant difference was found in the proportion of URM department chairs in ophthalmology compared with most other clinical departments, although the absolute number of URM chairs in ophthalmology is low at only 8 chairpersons. CONCLUSIONS: More work must be done to increase the recruitment of URM physicians into ophthalmology faculty positions to obtain parity with other clinical departments and with the diverse patient populations that physicians serve.


Subject(s)
Cultural Diversity , Ethnicity/statistics & numerical data , Faculty, Medical/statistics & numerical data , Health Workforce/statistics & numerical data , Minority Groups/statistics & numerical data , Ophthalmology/statistics & numerical data , Black or African American , Female , Hispanic or Latino , Humans , Internship and Residency , Male , Schools, Medical/statistics & numerical data , Students, Medical/statistics & numerical data , United States
18.
Am J Ophthalmol ; 222: 126-136, 2021 02.
Article in English | MEDLINE | ID: mdl-32882220

ABSTRACT

PURPOSE: To describe follow-up rates for patients referred for outpatient ophthalmic care after emergency department (ED) discharge and identify patient and visit characteristics associated with loss to follow-up (LTFU). DESIGN: Single-institution retrospective cohort study. METHODS: We analyzed the medical records of 2,206 patients seen in the ED for an eye-related issue who were subsequently scheduled for ophthalmology follow-up between 2013 and 2019 at a single tertiary health system. The main outcome measures were the frequency of and risk factors for LTFU and ED revisits. RESULTS: In total, 1,649 (74.8%) patients completed follow-up within 2 months of an index ED visit. In multivariable analysis, younger age (P < .001), a nonurgent ophthalmic condition or nonophthalmic primary diagnosis (P < .001), scheduled follow-up >5 days after the ED visit (P < .001), additional follow-up appointments (<.001), no prior history of ophthalmology appointments (P = .045), a visual acuity of 20/40 or better (P = .027), and having Medicaid or being uninsured (P < .001) were significantly associated with LTFU. The presence of an interpreter significantly increased the likelihood of follow-up among non-English speaking patients (P < .001). LTFU was significantly associated with an ED revisit within 4 months of an index visit, and the ED revisit rate was significantly higher for patients LTFU vs those who completed follow-up (5.7% vs 1.1%; P < .001). CONCLUSIONS: A quarter of patients referred for ophthalmic care after an ED presentation were LTFU. We identified numerous factors associated with LTFU that could be used to develop interventions to enhance follow-up. In addition, patients who were LTFU were more likely to revisit the ED for the same ophthalmic condition.


Subject(s)
Ambulatory Care/statistics & numerical data , Appointments and Schedules , Eye Diseases/therapy , Office Visits/statistics & numerical data , Outcome Assessment, Health Care/methods , Adult , Emergency Service, Hospital , Female , Follow-Up Studies , Humans , Male , Retrospective Studies , Risk Factors , Time Factors
19.
Ophthalmology ; 127(10): 1292-1302, 2020 10.
Article in English | MEDLINE | ID: mdl-32359935

ABSTRACT

PURPOSE: To estimate temporal trends in total and out-of-pocket (OOP) expenditures for ophthalmic prescription medications among adults in the United States. DESIGN: Retrospective, longitudinal cohort study. PARTICIPANTS: Participants in the 2007 through 2016 Medical Expenditure Panel Survey (MEPS) 18 years of age or older. The MEPS is a nationally representative survey of the noninstitutionalized, civilian United States population. METHODS: We estimated trends in national and per capita annual ophthalmic prescription expenditures by pooling data into 2-year cycles and using weighted linear regressions. We also identified characteristics associated with greater total or OOP expenditures with multivariate weighted linear regression. Costs were adjusted to 2016 United States dollars using the gross domestic product price index. MAIN OUTCOME MEASURES: Trends in total and OOP annual expenditures for ophthalmic medications from 2007 through 2016 as well as factors associated with greater expenditures. RESULTS: From 2007 through 2016, 9989 MEPS participants (4.2%) reported ophthalmic medication prescription use. Annual ophthalmic medication use increased from 10.0 to 12.2 million individuals from 2007 and 2008 through 2015 and 2016. In this same period, national expenditures for ophthalmic medications increased from $3.39 billion to $6.08 billion and OOP expenditures decreased from $1.34 to $1.18 billion. Per capita expenditure increased from $338.72 to $499.42 (P < 0.001), and per capita OOP expenditure decreased from $133.48 to $96.67 (P < 0.001) from 2007 and 2008 through 2015 and 2016, respectively. From 2015 through 2016, dry eye (29.5%) and glaucoma (42.7%) medications accounted for 72.2% of all ophthalmic medication expenditures. Patients who were older than 65 years (P < 0.001), uninsured (P < 0.001), and visually impaired (P < 0.001) were significantly more likely to have greater OOP spending on ophthalmic medications. CONCLUSIONS: Total ophthalmic medication expenditure in the United States increased significantly over the last decade, whereas OOP expenses decreased. Increases in coverage, copayment assistance, and use of expensive brand drugs may be contributing to these trends. Policy makers and physicians should be aware that rising overall drug expenditures ultimately may increase indirect costs to the patient and offset a decline in OOP prescription drug spending.


Subject(s)
Drug Prescriptions/economics , Eye Diseases/drug therapy , Health Expenditures/statistics & numerical data , Prescription Drugs/economics , Adolescent , Adult , Cross-Sectional Studies , Eye Diseases/economics , Female , Follow-Up Studies , Humans , Male , Middle Aged , Retrospective Studies , Time Factors , United States , Young Adult
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