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Evaluation of a telemedicine-enabled universal eye health delivery model in rural southern India

Abstract

Objectives

To evaluate the accuracy of tele-ophthalmic examination (TOE) for common ocular conditions in comparison with the gold-standard in-person examination (IPE) for diagnosis and treatment advice.

Methods

In a prospective, diagnostic accuracy validation study, we recruited 339 consecutive new patients, aged ≥16 years, visiting a vision centre (VC) associated with Aravind Eye Hospital in south India during January and February, 2020. All participants underwent the TOE, followed by IPE on the same visit. The in-person ophthalmologist was masked to the TOE diagnosis and treatment advice. Data were analysed via the sensitivity specificity of TOE versus the gold-standard IPE.

Results

TOE achieved high sensitivity and specificity for identifying normal eyes with 87.4% and 93.5%, respectively. TOE had high sensitivity for cataracts (91.7%), infective conjunctivitis (72.2%), and moderate sensitivity for pterygium (62.5%), DR (57.1%), non-serious injury (41.7%), but low sensitivity for glaucoma (12.5%). TOE had high specificity ranging from 93.5% to 99.8% for all diagnoses. The sensitivity for treatment advice ranged from 58.1% to 77.2% and specificity from 96.9% to 100%.

Conclusions

The TOE in VCs has acceptable accuracy to an IPE by an ophthalmologist for correctly identifying and treating major eye ailments. Through providing universal eye care to rural populations, this model may contribute to work toward achieving Universal Health Coverage, which is a linchpin of the health-related U.N. Sustainable Development Goals (SDG).

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Data availability

The dataset is available upon request.

References

  1. Bourne R, Steinmetz JD, Flaxman S, Briant PS, Taylor HR, Resnikoff S, et al. Trends in prevalence of blindness and distance and near vision impairment over 30 years: an analysis for the Global Burden of Disease Study. Lancet Glob Heal. 2020;9:e130–e143. https://doi.org/10.1016/S2214-109X(20)30425-3.

  2. World Health Organization.World report on vision.; 2019. https://www.who.int/publications/i/item/world-report-on-vision.

  3. Murthy GV, Gupta SK, Bachani D, Tewari HK, John N. Human resources and infrastructure for eye care in India: current status. Natl Med J India. 2004;17:128–34. https://pubmed.ncbi.nlm.nih.gov/15253398/.

    CAS  PubMed  Google Scholar 

  4. Joseph S, Ravilla T, Bassett K. Gender Issues in a Cataract Surgical Population in South India. Ophthalmic Epidemiol. 2013;20:96–101. https://www.tandfonline.com/doi/abs/10.3109/09286586.2013.766756.

    Article  PubMed  Google Scholar 

  5. Burton MJ, Ramke J, Marques AP, Bourne RRA, Congdon N, Jones I, et al. The Lancet Global Health Commission on Global Eye Health: vision beyond 2020. Lancet Glob Heal 2021;9:e489–e551. https://doi.org/10.1016/S2214-109X(20)30488-5.

    Article  CAS  Google Scholar 

  6. Reddy PA, Congdon N, MacKenzie G, Gogate P, Wen Q, Jan C, et al. Effect of providing near glasses on productivity among rural Indian tea workers with presbyopia (PROSPER): a randomised trial. Lancet Glob Heal. 2018;6:e1019–e1027.

    Article  Google Scholar 

  7. Bourne RRA, Steinmetz JD, Saylan M, Mersha AM, Weldemariam AH, Wondmeneh TG, et al. Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: The Right to Sight: An analysis for the Global Burden of Disease Study. Lancet Glob Heal. 2021;9:e144–e160.

    Article  Google Scholar 

  8. Anon. Transforming our World: The 2030 Agenda for Sustainable Development .:. Sustainable Development Knowledge Platform. https://sustainabledevelopment.un.org/post2015/transformingourworld/publication.

  9. Anon. Vision for Everyone: accelerating action to achieve the SustainableDevelopment Goals. https://www.undocs.org/en/A/75/L.108. Accessed 10 Jan 2022.

  10. Caffery LJ, Taylor M, Gole G, Smith AC. Models of care in tele-ophthalmology: A scoping review. J. Telemed. Telecare. 2019;25:106-22. https://pubmed.ncbi.nlm.nih.gov/29165005/.

  11. Khanna R, Sabherwal S, Sil A, Gowth M, Dole K, Kuyyadiyil S, et al. Primary eye care in India-The vision center model. Indian J Ophthalmol. 2020;68:333–9.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Qureshi BM, Mansur R, Al-Rajhi A, Lansingh V, Eckert K, Hassan K, et al. Best practice eye care models. Indian J Ophthalmol. 2012;60:351–7.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Naidoo K, Ravilla D. Delivering refractive error services: Primary eye care centres and outreach. Community Eye Heal J. 2007;20:42–44.

    Google Scholar 

  14. Anon. Telehealth in Rural Communities | CDC. https://www.cdc.gov/chronicdisease/resources/publications/factsheets/telehealth-in-rural-communities.htm. Accessed 15 Dec 2022.

  15. Fijalkowski N, Zheng LL, Henderson MT, Wang SK, Wallenstein MB, Leng T, et al. Stanford University Network for Diagnosis of Retinopathy of Prematurity (SUNDROP): five years of screening with telemedicine. Ophthalmic Surg Lasers Imaging Retin. 2014;45:106–13. http://journals.healio.com/doi/10.3928/23258160-20140122-01.

    Article  Google Scholar 

  16. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig L, et al. STARD 2015: An updated list of essential items for reporting diagnostic accuracy studies. BMJ. 2015;351. https://www.bmj.com/content/351/bmj.h5527. Accessed 16 Sep 2020.

  17. Anon. Marratech video conferencing software. http://www.marratech.com/. Accessed 20 Mar 2021.

  18. Maa AY, Medert CM, Lu X, Janjua R, Howell AV, Hunt KJ, et al. Diagnostic Accuracy of Technology-based Eye Care Services The Technology-based Eye Care Services Compare Trial Part I. Ophthalmology. 2020;127:38–44. https://doi.org/10.1016/j.ophtha.2019.07.026.

    Article  PubMed  Google Scholar 

  19. Conlin PR, Asefzadeh B, Pasquale LR, Selvin G, Lamkin R, Cavallerano AA. Accuracy of a technology assisted eye exam in evaluation of referable diabetic retinopathy and concomitant ocular diseases. Br J Ophthalmol. 2015;99:1622–7. https://bjo.bmj.com/content/99/12/1622.

    Article  PubMed  Google Scholar 

  20. Gupta SC, Kumar Sinha S, Dagar AB. Evaluation of the effectiveness of diagnostic & management decision by teleophthalmology using indigenous equipment in comparison with in-clinic assessment of patients. Indian J Med Res. 2013;138:531–5. https://www.ijmr.org.in/article.asp?issn=0971-5916;year=2013;volume=138;issue=4;spage=531;epage=535;aulast=Gupta.

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Kumar S, Yogesan K. Telemedical diagnosis of anterior segment eye diseases: validation of digital slit-lamp still images. Eye. 2009;23:652–60. www.nature.com/eye.

    Article  CAS  PubMed  Google Scholar 

  22. Marmamula S, Khanna RC, Shekhar K, Rao GN. Outcomes of cataract surgery in urban and rural population in the South Indian state of Andhra Pradesh: Rapid Assessment of Visual Impairment (RAVI) project. PLoS One. 2016;11:167708. https://europepmc.org/articles/PMC5137898.

    Article  Google Scholar 

  23. Mailu EW, Virendrakumar B, Bechange S, Jolley E, Schmidt E. Factors associated with the uptake of cataract surgery and interventions to improve uptake in low- and middle-income countries: A systematic review Wilkinson J (ed). PLoS One. 2020;15:e0235699. https://doi.org/10.1371/journal.pone.0235699.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Anon. AuroMap - Aravind Vision Centres Map. http://www.auromap.org/map.php?pid=755. Accessed 11 Jan 2022.

  25. Anon. Annual Activity Reports of Aravind Eye Care System 2019-20. https://uat.aravind.org/annual-report/ Accessed 11 Jan 2022.

  26. Vashist P, Senjam S, Gupta V, Manna S, Agrawal S, Gupta N, et al. Community eye-health and vision center guidelines during COVID-19 pandemic in India. Indian J Ophthalmol. 2020;68:1306–11. https://pubmed.ncbi.nlm.nih.gov/32587155/.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors acknowledge the cooperation and support from the staff and management of Aravind Eye Hospital, Madurai, India during the study.

Funding

This study was internally funded by the Aravind Eye Care System, India and all the study staff were full-time employees of the organization. JRE was supported by an unrestricted grant from Research to Prevent Blindness to the University of Michigan Department of Ophthalmology and Visual Sciences.

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Authors and Affiliations

Authors

Contributions

SJ was responsible for designing the study, overseeing the development and implementation of the protocol, creating forms, data collection data analysis and preparation of the manuscript. VK supervised the database development and data collection and contributed to the literature search, development of protocol and manuscript preparation. MSU performed the statistical analyses and contributed to manuscript preparation DK contributed to the protocol development, performed the clinical examinations and oversaw data collection. DR contributed to the conception, design and protocol development. AMG provided logistics and administrative support and contributed to the implementation of the protocol. AK contributed to the protocol development and interpretation of results. JE provided inputs for data analysis and data interpretation and critically revised the manuscript for important intellectual content. TR was involved in the conception, design, data interpretation and overall supervision. All authors gave final approval of the version of the manuscript to be published and agreed to be accountable for all aspects of the work. SJ and TR are guarantors.

Corresponding author

Correspondence to Thulasiraj D. Ravilla.

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The authors declare no competing interests.

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Joseph, S., Rajendran, V.K., Khetwani, D. et al. Evaluation of a telemedicine-enabled universal eye health delivery model in rural southern India. Eye 38, 1202–1207 (2024). https://doi.org/10.1038/s41433-023-02871-8

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