Patient Accessibility to Eye Care in the United States

被引:6
作者
Soares, Rebecca Russ [1 ]
Mokhashi, Nikita [2 ]
Sharpe, James [3 ]
Zhang, Qiang [3 ]
Hinkle, John [1 ]
Patel, Samir N. [1 ]
Ho, Allen C. [1 ]
Yonekawa, Yoshihiro [1 ]
Hsu, Jason [1 ]
机构
[1] Thomas Jef ferson Univ, Wills Eye Hosp, Retina Serv, Mid Atlantic Retina, 840 Walnut St,Suite 1020, Philadelphia, PA 19107 USA
[2] Temple Univ, Lewis Katz Sch Med, Dept Ophthalmol, Philadelphia, PA USA
[3] Wills Eye Hosp & Res Inst, Vickie & Jack Farber Vis Res Ctr, Biostat Consulting Core, Philadelphia, PA USA
关键词
Geographic accessibility; Health provider shortage areas; Public health; ACCESS; HEALTH; ADULTS; AVAILABILITY; PREDICTORS; PROVIDERS; DISEASE; GIS;
D O I
10.1016/j.ophtha.2022.11.017
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Purpose: The United States (US) federal government uses health provider shortage areas (HPSAs) to define patient accessibility to primary care physicians. It is unclear whether HPSAs can be applied to eye care providers (ECPs). Our study determined the applicability of federal HPSA designations to ECP availability in the US. Design: Cross-sectional study.Participants: US general population and ophthalmologists/optometrists in the Medicare database.Methods: The primary care HPSA score, visual impairment prevalence, and ECP location were determined for each census tract or county using data from the US Department of Health and Human Services, the Centers for Disease Control and Prevention, and Centers for Medicare and Medicaid Services.Main Outcome Measures: Association of HPSA with vision loss and ECP density was examined. The 2-step floating catchment area approach was used to newly define eye care shortage areas (patient accessibility score [PAS], higher being worse accessibility) for every county in the US, by weighting the 2-step FCA scores by prevalence of vision loss and ECP density. Multivariable logistic regression was used to identify sociodemo-graphic variables associated with areas of ECP shortage.Results: Among 72 735 census tracts included, statistically significant but weak correlations of HPSA score with visual impairment (VI) (r = 0.38; P < 0.0001) and ECP density per county population (r =-0.18; P < 0.0001) were found. Only 54.0% of census tracts with < 25th percentile ECP density per county were HPSAs (P < 0.0001). Of census tracts > than 75th percentile for VI only 58.0% were HPSAs (P < 0.0001). Multivariable regression found a higher odds of ECP PAS > 75th percentile (worse accessibility) in rural counties (adjusted odds ratio [aOR], 2.47; 95% confidence interval [CI], 1.93-3.67; P < 0.001) and counties with a greater preva-lence of residents with less than a high school education (aOR, 1.21; 95% CI, 1.19-1.25; P < 0.001), residents > 65 years of age (aOR, 1.10; 95% CI, 1.07-1.13; P < 0.001), and uninsured residents (aOR, 1.04; 95% CI, 1.01-1.06; P < 0.001). Counties with a greater proportion of men (aOR, 0.93; 95% CI, 0.89-0.967; P < 0.001) or White residents (aOR, 0.99; 95% CI, 0.98-0.99) had a lower odds of ECP PAS > 75th percentile.Conclusions: Current HPSAs only weakly correlate with ECP supply. We propose a new approach to identify counties with high need but limited access to eye care. Financial Disclosure(s): Proprietary or commercial disclosure may be found after the references. Ophthalmology 2023;130:354-360 (c) 2022 by the American Academy of Ophthalmology
引用
收藏
页码:354 / 360
页数:7
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