Literature DB >> 33253756

The Utility of Routine Fundus Photography Screening for Posterior Segment Disease: A Stepped-wedge, Cluster-randomized Trial in South India.

Nakul S Shekhawat1, Leslie M Niziol2, Sankalp S Sharma3, Sanil Joseph4, Alan L Robin2, Brenda W Gillespie5, David C Musch6, Maria A Woodward7, Rengaraj Venkatesh3.   

Abstract

PURPOSE: To assess whether routine fundus photography (RFP) to screen for posterior segment disease at community eye clinics (vision centers [VCs]) in India increases referral to centralized ophthalmolic care.
DESIGN: Stepped-wedge, cluster-randomized trial. PARTICIPANTS: Patients aged 40 to 75 years and those aged 20 to 40 years with a known history of hypertension or diabetes mellitus presenting to 4 technician-run VCs associated with the Aravind Eye Care System in India.
METHODS: VCs (clusters) were randomized to standard care or RFP across five 2-week study periods (steps). Patients in each cluster received standard care initially. At the start of each subsequent step, a randomly chosen cluster crossed over to providing RFP to eligible patients. All clusters took part in RFP during the last step. Standard care involved technician eye exams, optional fundus photography, and teleconsultation with an ophthalmologist. RFP involved eye exams, dilation and 40-degree fundus photography, and teleconsultation with an ophthalmologist. MAIN OUTCOME MEASURES: Standard care and RFP clusters were compared by the proportion of patients referred for in-person evaluation by an ophthalmologist because of fundus photography findings and urgency of referral (urgently in ≤ 2 weeks vs. nonurgently in > 2 weeks). Generalized linear mixed models adjusting for cluster and step were used to estimate the odds of referral due to fundus photography findings compared with standard care.
RESULTS: A total of 1447 patients were enrolled across the VCs, including 737 in the standard care group and 710 in the RFP group. Compared with standard care, the RFP group had a higher proportion of referrals due to fundus photography findings (11.3% vs. 4.4%), nonurgent referrals due to fundus photography (9.3% vs. 3.3%), and urgent referrals due to fundus photography (1.8% vs. 1.1%). The RFP intervention was associated with a 2-fold increased odds of being referred because of photography findings compared with standard care (odds ratio, 2.07; 95% confidence interval, 0.98-4.40; P = 0.058).
CONCLUSIONS: Adding RFP to community eye clinics was associated with an increased odds of referral compared with standard care. This increase in referral was mostly due to nonurgent posterior segment disease.
Copyright © 2020 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diabetic retinopathy; Epidemiology; Ophthalmology; Telemedicine

Mesh:

Year:  2020        PMID: 33253756      PMCID: PMC8155108          DOI: 10.1016/j.ophtha.2020.11.025

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   14.277


  29 in total

1.  Screening for Diabetic Retinopathy Using a Portable, Noncontact, Nonmydriatic Handheld Retinal Camera.

Authors:  Wenlan Zhang; Peter Nicholas; Stefanie Gail Schuman; Michael John Allingham; Ambar Faridi; Tushar Suthar; Scott William Cousins; Sasapin Grace Prakalapakorn
Journal:  J Diabetes Sci Technol       Date:  2016-07-11

Review 2.  Evidence for Telemedicine for Diabetic Retinal Disease.

Authors:  Aditi Gupta; Jerry Cavallerano; Jennifer K Sun; Paolo S Silva
Journal:  Semin Ophthalmol       Date:  2016-10-17       Impact factor: 1.975

Review 3.  Evolution of optic nerve photography for glaucoma screening: a review.

Authors:  Jonathan S Myers; Scott J Fudemberg; Daniel Lee
Journal:  Clin Exp Ophthalmol       Date:  2018-01-22       Impact factor: 4.207

4.  Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.

Authors:  Daniel Shu Wei Ting; Carol Yim-Lui Cheung; Gilbert Lim; Gavin Siew Wei Tan; Nguyen D Quang; Alfred Gan; Haslina Hamzah; Renata Garcia-Franco; Ian Yew San Yeo; Shu Yen Lee; Edmund Yick Mun Wong; Charumathi Sabanayagam; Mani Baskaran; Farah Ibrahim; Ngiap Chuan Tan; Eric A Finkelstein; Ecosse L Lamoureux; Ian Y Wong; Neil M Bressler; Sobha Sivaprasad; Rohit Varma; Jost B Jonas; Ming Guang He; Ching-Yu Cheng; Gemmy Chui Ming Cheung; Tin Aung; Wynne Hsu; Mong Li Lee; Tien Yin Wong
Journal:  JAMA       Date:  2017-12-12       Impact factor: 56.272

5.  Secular TRends in DiabEtes in India (STRiDE-I): Change in Prevalence in 10 Years Among Urban and Rural Populations in Tamil Nadu.

Authors:  Arun Nanditha; Chamukuttan Snehalatha; Krishnamoorthy Satheesh; Priscilla Susairaj; Mary Simon; Lakshminarayanan Vijaya; Arun Raghavan; Ramachandran Vinitha; Ambady Ramachandran
Journal:  Diabetes Care       Date:  2019-01-18       Impact factor: 19.112

6.  Access to ophthalmologic care in Thailand: a regional analysis.

Authors:  Christopher B Estopinal; Somsanguan Ausayakhun; Sakarin Ausayakhun; Choeng Jirawison; S Joy Bhosai; Todd P Margolis; Jeremy D Keenan
Journal:  Ophthalmic Epidemiol       Date:  2013-10       Impact factor: 1.648

7.  Impact of geographic density of eye care professionals on eye care among adults with diabetes.

Authors:  Chiu-Fang Chou; Xinzhi Zhang; John E Crews; Lawrence E Barker; Paul P Lee; Jinan B Saaddine
Journal:  Ophthalmic Epidemiol       Date:  2012-10-22       Impact factor: 1.648

8.  Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India.

Authors:  Varun Gulshan; Renu P Rajan; Kasumi Widner; Derek Wu; Peter Wubbels; Tyler Rhodes; Kira Whitehouse; Marc Coram; Greg Corrado; Kim Ramasamy; Rajiv Raman; Lily Peng; Dale R Webster
Journal:  JAMA Ophthalmol       Date:  2019-09-01       Impact factor: 7.389

9.  Diagnostic Accuracy of Community-Based Diabetic Retinopathy Screening With an Offline Artificial Intelligence System on a Smartphone.

Authors:  Sundaram Natarajan; Astha Jain; Radhika Krishnan; Ashwini Rogye; Sobha Sivaprasad
Journal:  JAMA Ophthalmol       Date:  2019-10-01       Impact factor: 7.389

10.  Determinants of Utilization of Eye Care Services in a Rural Adult Population of a Developing Country.

Authors:  Bolutife A Olusanya; Adeyinka O Ashaye; Eme T Owoaje; Aderonke M Baiyeroju; Benedictus G Ajayi
Journal:  Middle East Afr J Ophthalmol       Date:  2016 Jan-Mar
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