Literature DB >> 28520876

Geographic Information Systems Mapping of Diabetic Retinopathy in an Ocular Telemedicine Network.

Pooja D Jani1, Lauren Forbes2, Philip McDaniel3, Anthony Viera4, Seema Garg2.   

Abstract

Importance: Minimal information exists on the use of geographic information systems mapping for visualizing access barriers to eye care for patients with diabetes. Objective: To use geographic information systems mapping techniques to visualize (1) the locations of patients participating in the North Carolina Diabetic Retinopathy Telemedicine Network, (2) the locations of primary care clinicians and ophthalmologists across the state, and (3) the travel times associated with traveling to the 5 primary care clinics in our study. Design, Setting, and Participants: Cross-sectional study conducted from January 6, 2014, to November 1, 2015, at 5 Area Health Education Center primary care clinics that serve rural and underserved populations in North Carolina. In total, 1787 patients with diabetes received retinal screening photographs with remote expert interpretation to determine the presence and severity of diabetic retinopathy. Participants included patients 18 years or older with type 1 or type 2 diabetes who presented to these 5 clinics for their routine diabetes care. Main Outcomes and Measures: Development of qualitative maps illustrating the density of patients with diabetes and their distribution around the 5 North Carolina Diabetic Retinopathy Telemedicine Network sites by zip code and the density of ophthalmologists and primary care clinicians by zip code relative to US Census Urban Areas. A travel time map was also created using road network analysis to determine all areas that can be reached by car in a user-specified amount of time.
Results: Mean (SD) age of patients was 55.4 (12.7) years. Women made up 62.7% of the study population. The study included more African American patients (55.4%) compared with white (35.5%) and Hispanic (5.8%) patients. The mean (SD) hemoglobin A1c level was 7.8% (2.4%) (to convert to proportion of total hemoglobin, multiply by 0.01), and the mean (SD) duration of diabetes was 9.2 (8.2) years. Whereas the clinics located in Greensboro, Asheville, and Fayetteville screened patients from more immediate surrounding areas, the Greenville site had the widest distribution of zip codes, suggesting that patients travel from greater distances to reach this facility. Primary care clinicians were spread somewhat uniformly across the state, whereas ophthalmologists were concentrated around urban centers. Also, the number and type of surface roads surrounding the clinics determined the distance and time patients must travel to receive care. Conclusions and Relevance: Geographic information systems mapping is a useful technique for visualizing geographic access barriers to eye care for patients with diabetes and may help to identify underserved areas that would benefit from the expansion of retinal screening programs via telemedicine.

Entities:  

Mesh:

Year:  2017        PMID: 28520876      PMCID: PMC5710206          DOI: 10.1001/jamaophthalmol.2017.1153

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   7.389


  20 in total

Review 1.  Treatment of diabetic retinopathy.

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2.  Modeling travel impedance to medical care for children with birth defects using Geographic Information Systems.

Authors:  Eric M Delmelle; Cynthia H Cassell; Coline Dony; Elizabeth Radcliff; Jean Paul Tanner; Csaba Siffel; Russell S Kirby
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2013-09-02

3.  Project I See in NC: Initial results of a program to increase access to retinal examinations among diabetic individuals in North Carolina.

Authors:  Ramon Velez; Marshall Tyler; John Chen; Michael Babcock; William P Moran
Journal:  N C Med J       Date:  2011 Sep-Oct

4.  Nonmydriatic fundus photography for teleophthalmology diabetic retinopathy screening in rural and urban clinics.

Authors:  Eric K Chin; Bruna V Ventura; Kai-Yin See; Joann Seibles; Susanna S Park
Journal:  Telemed J E Health       Date:  2013-11-12       Impact factor: 3.536

5.  Projection of the year 2050 burden of diabetes in the US adult population: dynamic modeling of incidence, mortality, and prediabetes prevalence.

Authors:  James P Boyle; Theodore J Thompson; Edward W Gregg; Lawrence E Barker; David F Williamson
Journal:  Popul Health Metr       Date:  2010-10-22

6.  Using GIS and secondary data to target diabetes-related public health efforts.

Authors:  Amy B Curtis; Catherine Kothari; Rajib Paul; Elyse Connors
Journal:  Public Health Rep       Date:  2013 May-Jun       Impact factor: 2.792

7.  Longitudinal rates of annual eye examinations of persons with diabetes and chronic eye diseases.

Authors:  Paul P Lee; Zachary W Feldman; Jan Ostermann; Derek S Brown; Frank A Sloan
Journal:  Ophthalmology       Date:  2003-10       Impact factor: 12.079

8.  Telemedicine and retinal imaging for improving diabetic retinopathy evaluation.

Authors:  Seema Garg; Pooja D Jani; Abhijit V Kshirsagar; Bradley King; Edward Chaum
Journal:  Arch Intern Med       Date:  2012-11-26

9.  Geographic and sociodemographic disparities in drive times to Joint Commission-certified primary stroke centers in North Carolina, South Carolina, and Georgia.

Authors:  Jenna A Khan; Michele Casper; Andrew W Asimos; Lydia Clarkson; Dianne Enright; Laura J Fehrs; Mary George; Khosrow Heidari; Sara L Huston; Laurie H Mettam; G Ishmael Williams; Linda Schieb; Sophia Greer
Journal:  Prev Chronic Dis       Date:  2011-06-15       Impact factor: 2.830

10.  A method to determine spatial access to specialized palliative care services using GIS.

Authors:  Jonathan Cinnamon; Nadine Schuurman; Valorie A Crooks
Journal:  BMC Health Serv Res       Date:  2008-06-30       Impact factor: 2.655

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  6 in total

1.  Diabetes retinopathy and related health management in Asians versus whites using BRFSS 2005-2017 data.

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Journal:  Int J Physiol Pathophysiol Pharmacol       Date:  2019-12-15

2.  Opportunities To Improve Diabetes Care in the Hemodialysis Unit: A Cohort Study in Ontario, Canada.

Authors:  Kristin K Clemens; Alexandra M Ouédraogo; Amit X Garg; Samuel A Silver; Danielle M Nash
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3.  Using Public Datasets to Identify Priority Areas for Ocular Telehealth.

Authors:  Christopher J Brady; Samantha D'Amico; Natasha Withers; Brian Y Kim
Journal:  Telemed J E Health       Date:  2021-02-18       Impact factor: 3.536

Review 4.  Barriers in establishing systematic diabetic retinopathy screening through telemedicine in low- and middle-income countries.

Authors:  Daniel Yim; Shruti Chandra; Rajan Sondh; Sridevi Thottarath; Sobha Sivaprasad
Journal:  Indian J Ophthalmol       Date:  2021-11       Impact factor: 1.848

Review 5.  Fundamental principles of an effective diabetic retinopathy screening program.

Authors:  Paolo Lanzetta; Valentina Sarao; Peter H Scanlon; Jane Barratt; Massimo Porta; Francesco Bandello; Anat Loewenstein
Journal:  Acta Diabetol       Date:  2020-03-28       Impact factor: 4.280

6.  Distribution and determinants of hospital efficiency and relative productivity in county-level hospitals in rural China: an observational study.

Authors:  Jing Zhong; Wei Wang; Hongxi Wang; Jingjing Huang; Tao Li; Jingjing Chen; Wan Chen; Jin Yuan; Weirong Chen
Journal:  BMJ Open       Date:  2021-07-02       Impact factor: 2.692

  6 in total

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