Literature DB >> 34042939

Racial/Ethnic Disparities and Barriers to Diabetic Retinopathy Screening in Youths.

Chrystal G Thomas1, Roomasa Channa2, Laura Prichett3, T Y Alvin Liu4, Michael D Abramoff5,6,7, Risa M Wolf1.   

Abstract

IMPORTANCE: Diabetic retinopathy is a major complication of diabetes for which regular screening improves visual health outcomes, yet adherence to screening is suboptimal.
OBJECTIVE: To assess disparities in diabetic eye examination completion rates and evaluate barriers in those not previously screened. DESIGN, SETTING, AND PARTICIPANTS: In this cohort study at a single academic center (Johns Hopkins Hospital pediatric diabetes center in Baltimore, Maryland) from December 2018 to November 2019, youths with type 1 or type 2 diabetes who met criteria for diabetic retinopathy screening and were enrolled in a prospective observational trial implementing point-of-care diabetic retinopathy screening were asked about prior diabetic retinopathy screening. MAIN OUTCOMES AND MEASURES: Demographic and clinical characteristics were compared between those who did and did not have a previous diabetic eye examination and stratified according to race/ethnicity, using t tests and χ2 tests. Multivariate logistic regression was used to analyze the association between race/ethnicity, screening, and other social determinants of health. A questionnaire assessing barriers to screening adherence was administered.
RESULTS: Of 149 participants (76 male patients [51.0%]; mean [SD] age, 14.5 [2.3] years), 51 (34.2%) had not had a prior diabetic eye examination. These individuals were more likely than those who had prior diabetic eye examinations to be non-White youths (38 [75%] vs 31 [32%]; P < .001) and have type 2 diabetes (38 [75%] vs 10 [10%]; P < .001), Medicaid or public insurance (43 [84%] vs 31 [32%]; P < .001), lower household income (annual income ≤$25 000, 21 [41%] vs 9 [9%]; P < .001), and parents with education levels of high school or less (29 [67%] vs 22 [35%]; P < .001). The main barriers reported included not recalling being recommended to obtain a diabetic eye examination (19 [56%]), difficulty finding time for an additional appointment (10 [29%]), and transportation issues (7 [20%]). Minority youths were less likely to have a previous diabetic eye examination (non-White, 34 [46%] vs White, 64 [85%]; P < .001) and more likely to have diabetic retinopathy (11 [15%] v 2 [3%]; P = .008). Minority youths were less likely to get diabetic eye examinations even after adjusting for insurance, household income, and parental education level (odds ratio, 0.29 [95% CI, 0.10-0.79]; P = .02). CONCLUSIONS AND RELEVANCE: In this cohort study, non-White youths were less likely to undergo diabetic eye examinations yet more likely to have diabetic retinopathy compared with White youths. Addressing barriers to diabetic retinopathy screening may improve access to diabetic eye examination and facilitate early detection.

Entities:  

Mesh:

Year:  2021        PMID: 34042939      PMCID: PMC8160913          DOI: 10.1001/jamaophthalmol.2021.1551

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   8.253


  6 in total

Review 1.  Pediatric Diabetic Retinopathy: Updates in Prevalence, Risk Factors, Screening, and Management.

Authors:  Tyger Lin; Rose A Gubitosi-Klug; Roomasa Channa; Risa M Wolf
Journal:  Curr Diab Rep       Date:  2021-12-13       Impact factor: 4.810

2.  A reimbursement framework for artificial intelligence in healthcare.

Authors:  Michael D Abràmoff; Cybil Roehrenbeck; Sylvia Trujillo; Juli Goldstein; Anitra S Graves; Michael X Repka; Ezequiel Zeke Silva Iii
Journal:  NPJ Digit Med       Date:  2022-06-09

3.  Factors Affecting Compliance with Diabetic Retinopathy Screening: A Qualitative Study Comparing English and Spanish Speakers.

Authors:  Sharon M Hudson; Bobeck S Modjtahedi; Danielle Altman; Jennifer J Jimenez; Tiffany Q Luong; Donald S Fong
Journal:  Clin Ophthalmol       Date:  2022-04-04

4.  Potential reduction in healthcare carbon footprint by autonomous artificial intelligence.

Authors:  Risa M Wolf; Michael D Abramoff; Roomasa Channa; Chris Tava; Warren Clarida; Harold P Lehmann
Journal:  NPJ Digit Med       Date:  2022-05-12

5.  The power of partnerships: state public health department multisector collaborations in major chronic disease programme areas in the United States.

Authors:  Edward Tsai; Peg Allen; Louise Farah Saliba; Ross C Brownson
Journal:  Health Res Policy Syst       Date:  2022-07-08

6.  Clinical and Demographic Factors Associated With Diabetic Retinopathy Among Young Patients With Diabetes.

Authors:  Michael L Ferm; Daniel J DeSalvo; Laura M Prichett; James K Sickler; Risa M Wolf; Roomasa Channa
Journal:  JAMA Netw Open       Date:  2021-09-01
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.