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Introduction: The ORNATE India project is funded by the UK Research and Innovation (UKRI) through the Global Challenges Research Fund. The aim is to build research capacity and capability in India and the UK to tackle global burden of diabetes-related visual impairment. As there are over 77 million people with diabetes in India, it is challenging to screen every person with diabetes annually for sight-threatening diabetic retinopathy (DR). Therefore, alternate safe approaches need to be developed so that those at-risk of visual impairment due to DR is identified promptly and treated.

Methods: The project team utilised diverse global health strategies and research methods to co-design work packages to build research capacity and capability to ensure effective, affordable and efficient DR services are made available for the population. The strategies and methods employed included health system strengthening; implementation science; establishing care pathways; co-designing collaborative studies on affordable technologies, developing quality standards and guidelines to decrease variations in care; economic analysis; risk modelling and stratification. Five integrated work packages have been developed to deal with all aspects of DR care. These included implementation of a DR screening programme in the public health system in a district in Kerala, evaluating regional prevalence of diabetes and DR and assessing ideal tests for holistic screening for diabetes and its complications in 20 areas in India, utilising artificial intelligence on retinal images to facilitate DR screening, exploring biomarker and biosensor research to detect people at risk of diabetes complications, estimating cost of blindness in India and risk modelling to develop risk-based screening models for diabetes and its complications. A large collaborative network will be formed to propagate research, promote shared learning and bilateral exchanges between high- and middle-income countries to tackle diabetes-related blindness.

Titel:	The ORNATE India Project: United Kingdom-India Research Collaboration to tackle visual impairment due to diabetic retinopathy.
Autor/in / Beteiligte Person:	Sivaprasad, S ; Raman, R ; Conroy, D ; 5th, Mohan ; Wittenberg, R ; Rajalakshmi, R ; Majeed, A ; Krishnakumar, S ; Prevost, T ; Parameswaran, S ; Turowski, P ; Maheswari, U ; Khobragade, R ; Netuveli, G ; Sadanandan, R ; Greenwood, J ; Ramasamy, K ; Rao, M ; Bergeles, C ; Das, T
Link:	Full Text Finder (Volltext)
Zeitschrift:	Eye (London, England), Jg. 34 (2020-07-01), Heft 7, S. 1279-1286
Veröffentlichung:	<2003->: London : Nature Publishing Group ; <i>Original Publication</i>: [London : Ophthalmological Society of the United Kingdom, 1987-, 2020
Medientyp:	academicJournal
ISSN:	1476-5454 (electronic)
DOI:	10.1038/s41433-020-0854-8
Schlagwort:	Artificial Intelligence Humans India epidemiology Mass Screening Prevalence Risk Factors United Kingdom epidemiology Diabetes Mellitus Diabetic Retinopathy epidemiology
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Corporate Authors: ORNATE India Project Group Publication Type: Journal Article; Research Support, Non-U.S. Gov't Language: English [Eye (Lond)] 2020 Jul; Vol. 34 (7), pp. 1279-1286. <i>Date of Electronic Publication: </i>2020 May 12. MeSH Terms: Diabetes Mellitus* ; Diabetic Retinopathy* / epidemiology ; Artificial Intelligence ; Humans ; India / epidemiology ; Mass Screening ; Prevalence ; Risk Factors ; United Kingdom / epidemiology References: World Health Organization. World health statistics 2016: monitoring health for the SDGs, sustainable development goal. Geneva: World Health Organization; 2019. ; India State-Level Disease Burden Initiative Diabetes Collaborators. The increasing burden of diabetes and variations among the states of India: the Global Burden of Disease Study 1990–2016. Lancet Glob Health. 2018;6:e1352–62. (PMID: 10.1016/S2214-109X(18)30387-5) ; Anjana RM, Deepa M, Pradeepa R, Mahanta J, Narain K, et al. ICMR–INDIAB Collaborative Study Group. Prevalence of diabetes and prediabetes in 15 states of India: results from the ICMR-INDIAB population-based cross-sectional study. Lancet Diabetes Endocrinol. 2017;5:585–96. (PMID: 10.1016/S2213-8587(17)30174-2) ; IDF Diabetes Atlas, 9th ed. 2019. https://www.diabetesatlas.org/en/ . ; Manley SE, Hikin LJ, Round RA, Manning PW, Luzio SD, et al. Comparison of IFCC-calibrated HbA1c from laboratory and point of care testing systems. Diabetes Res Clin Pract. 2014;105:364–72. (PMID: 10.1016/j.diabres.2014.05.003) ; Mohan V, Anbalagan VP. Expanding role of the Madras Diabetes Research Foundation—Indian Diabetes Risk Score in clinical practice. Indian J Endocrinol Metab. 2013;17:31–6. (PMID: 10.4103/2230-8210.107825) ; Bourne RRA, Flaxman SR, Braithwaite T, Cicinelli MV, Das A, Jonas JB, Vision Loss Expert Group. et al. Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis. Lancet Glob Health. 2017;5:e888–97. (PMID: 10.1016/S2214-109X(17)30293-0) ; Raman R, Gella L, Srinivasan S, Sharma T. Diabetic retinopathy: an epidemic at home and around the world. Indian J Ophthalmol. 2016;64:69–75. (PMID: 10.4103/0301-4738.178150) ; Shukla R, Gudlavalleti MV, Bandyopadhyay S, Anchala R, Gudlavalleti AS, Jotheeswaran AT, et al. Perception of care and barriers to treatment in individuals with diabetic retinopathy in India: 11-city 9-state study. Indian J Endocr Metab. 2016;20 Suppl 1:33–41. ; Sivaprasad S. Tackling diabetic retinopathy from the grassroots. Indian J Ophthalmol. 2020;68 Suppl 1:S8–S9. (PMID: 10.4103/ijo.IJO_2340_19) ; Scanlon PH. The English National Screening Programme for diabetic retinopathy 2003-2016. Acta Diabetol. 2017;54:515–25. (PMID: 10.1007/s00592-017-0974-1) ; Diabetic retinopathy guidelines. 2012. http://www.rcophth.ac.uk . Accessed 16 Feb 2020. ; Liew G, Michaelides M, Bunce C. A comparison of the causes of blindness certifications in England and Wales in working age adults (16-64 years), 1999–2000 with 2009–2010. BMJ Open. 2014;4:e004015. (PMID: 10.1136/bmjopen-2013-004015) ; Scanlon PH, Aldington SJ, Leal J, Luengo-Fernandez R, Oke J, Sivaprasad S, Gazis A, Stratton IM. Development of a cost-effectiveness model for optimisation of the screening interval in diabetic retinopathy screening. Health Technol Assess. 2015;19:1–116. (PMID: 10.3310/hta19740) ; Natarajan S, Jain A, Krishnan R, Rogye A, Sivaprasad S. Diagnostic accuracy of community-based retinopathy screening with an offline artificial intelligence system on a smartphone. JAMA Ophthalmol. 2019;137:1182–88. (PMID: 10.1001/jamaophthalmol.2019.2923) ; Das T, Pappuru RR. Telemedicine in diabetic retinopathy: access to rural India. Indian J Ophthalmol. 2016;64:84–86. (PMID: 10.4103/0301-4738.178151) Grant Information: MR/P027881/1 United Kingdom MRC_ Medical Research Council; MR/P207881/1 International RCUK \| Medical Research Council (MRC) Contributed Indexing: Investigator: P Bhende; PK Rani; R Roy; S Das; V Narendran; G Manayath; G Anantharaman; M Gopalakrishnan; S Natarajan; R Krishnan; SL Mani; M Agarwal; T Padhi; U Behera; H Bhattacharjee; M Barman; G Chawla; A Sen; M Saxena; AK Sil; S Chakabarty; T Cherian; R Kr; R Naigaonkar; A Desai; CM Deshpande; S Kulkarni Entry Date(s): Date Created: 20200514 Date Completed: 20210526 Latest Revision: 20210526 Update Code: 20231215 PubMed Central ID: PMC7314790

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The ORNATE India Project: United Kingdom-India Research Collaboration to tackle visual impairment due to diabetic retinopathy.