Cargando…
2458 Determining the prevalence and associated multilevel characteristics of undiagnosed diabetic retinopathy
OBJECTIVES/SPECIFIC AIMS: Diabetic retinopathy is the leading cause of blindness in adults aged 25–64 years. The prevalence of diabetic retinopathy is projected to increase 4-fold by 2050. Racial and ethnic minorities have a higher prevalence and greater severity of diabetic retinopathy. Over 50% of...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6799117/ http://dx.doi.org/10.1017/cts.2018.247 |
_version_ | 1783460213298298880 |
---|---|
author | Nwanyanwu, Kristen Nunez-Smith, Marcella Desai, Mayur Gardner, Thomas |
author_facet | Nwanyanwu, Kristen Nunez-Smith, Marcella Desai, Mayur Gardner, Thomas |
author_sort | Nwanyanwu, Kristen |
collection | PubMed |
description | OBJECTIVES/SPECIFIC AIMS: Diabetic retinopathy is the leading cause of blindness in adults aged 25–64 years. The prevalence of diabetic retinopathy is projected to increase 4-fold by 2050. Racial and ethnic minorities have a higher prevalence and greater severity of diabetic retinopathy. Over 50% of racial and ethnic minorities are not screened for diabetic retinopathy per guidelines. With timely diagnosis and sight-saving treatment, blindness from diabetic retinopathy is largely preventable. The objective of this study is to identify racial and ethnic disparities in the population that do not know they have diabetic retinopathy and to compare those disparities to those in the population that do know they have diabetic retinopathy. METHODS/STUDY POPULATION: Specifically, we have identified a nationally representative survey and clinical examination data to estimate the prevalence of undiagnosed diabetic retinopathy, to identify racial and ethnic disparities in that population, and to compare those disparities in the population with known diabetic retinopathy. We hypothesize that racial and ethnic disparities will be higher in the population with undiagnosed diabetic retinopathy in comparison to the population with known diabetic retinopathy. RESULTS/ANTICIPATED RESULTS: We hypothesize that racial and ethnic disparities will be higher in the population with undiagnosed diabetic retinopathy in comparison to the population with known diabetic retinopathy. The results of that analysis will instruct qualitative interviews that will advance the understanding of the factors that contribute to the decision whether to be screened for diabetic retinopathy. A decision tree will be created to categorize the hierarchy of barriers and facilitators. DISCUSSION/SIGNIFICANCE OF IMPACT: A better understanding of the population with undiagnosed diabetic retinopathy and the factors that influence the decision to get screened will help us not only to address disparities in diabetic retinopathy, but also to prevent blindness from retinopathy. |
format | Online Article Text |
id | pubmed-6799117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-67991172019-10-28 2458 Determining the prevalence and associated multilevel characteristics of undiagnosed diabetic retinopathy Nwanyanwu, Kristen Nunez-Smith, Marcella Desai, Mayur Gardner, Thomas J Clin Transl Sci Health Equity & Community Engagement OBJECTIVES/SPECIFIC AIMS: Diabetic retinopathy is the leading cause of blindness in adults aged 25–64 years. The prevalence of diabetic retinopathy is projected to increase 4-fold by 2050. Racial and ethnic minorities have a higher prevalence and greater severity of diabetic retinopathy. Over 50% of racial and ethnic minorities are not screened for diabetic retinopathy per guidelines. With timely diagnosis and sight-saving treatment, blindness from diabetic retinopathy is largely preventable. The objective of this study is to identify racial and ethnic disparities in the population that do not know they have diabetic retinopathy and to compare those disparities to those in the population that do know they have diabetic retinopathy. METHODS/STUDY POPULATION: Specifically, we have identified a nationally representative survey and clinical examination data to estimate the prevalence of undiagnosed diabetic retinopathy, to identify racial and ethnic disparities in that population, and to compare those disparities in the population with known diabetic retinopathy. We hypothesize that racial and ethnic disparities will be higher in the population with undiagnosed diabetic retinopathy in comparison to the population with known diabetic retinopathy. RESULTS/ANTICIPATED RESULTS: We hypothesize that racial and ethnic disparities will be higher in the population with undiagnosed diabetic retinopathy in comparison to the population with known diabetic retinopathy. The results of that analysis will instruct qualitative interviews that will advance the understanding of the factors that contribute to the decision whether to be screened for diabetic retinopathy. A decision tree will be created to categorize the hierarchy of barriers and facilitators. DISCUSSION/SIGNIFICANCE OF IMPACT: A better understanding of the population with undiagnosed diabetic retinopathy and the factors that influence the decision to get screened will help us not only to address disparities in diabetic retinopathy, but also to prevent blindness from retinopathy. Cambridge University Press 2018-11-21 /pmc/articles/PMC6799117/ http://dx.doi.org/10.1017/cts.2018.247 Text en © The Association for Clinical and Translational Science 2018 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Health Equity & Community Engagement Nwanyanwu, Kristen Nunez-Smith, Marcella Desai, Mayur Gardner, Thomas 2458 Determining the prevalence and associated multilevel characteristics of undiagnosed diabetic retinopathy |
title | 2458 Determining the prevalence and associated multilevel characteristics of undiagnosed diabetic retinopathy |
title_full | 2458 Determining the prevalence and associated multilevel characteristics of undiagnosed diabetic retinopathy |
title_fullStr | 2458 Determining the prevalence and associated multilevel characteristics of undiagnosed diabetic retinopathy |
title_full_unstemmed | 2458 Determining the prevalence and associated multilevel characteristics of undiagnosed diabetic retinopathy |
title_short | 2458 Determining the prevalence and associated multilevel characteristics of undiagnosed diabetic retinopathy |
title_sort | 2458 determining the prevalence and associated multilevel characteristics of undiagnosed diabetic retinopathy |
topic | Health Equity & Community Engagement |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6799117/ http://dx.doi.org/10.1017/cts.2018.247 |
work_keys_str_mv | AT nwanyanwukristen 2458determiningtheprevalenceandassociatedmultilevelcharacteristicsofundiagnoseddiabeticretinopathy AT nunezsmithmarcella 2458determiningtheprevalenceandassociatedmultilevelcharacteristicsofundiagnoseddiabeticretinopathy AT desaimayur 2458determiningtheprevalenceandassociatedmultilevelcharacteristicsofundiagnoseddiabeticretinopathy AT gardnerthomas 2458determiningtheprevalenceandassociatedmultilevelcharacteristicsofundiagnoseddiabeticretinopathy |