Abstract
Teleglaucoma is a rapidly evolving subset of teleophthalmology focused on enhancing access to high-quality, cost-effective, and patient-centred virtual glaucoma care for rural and underserved populations. Teleglaucoma programs have been implemented in many regions globally, both in resource-rich and resource-challenged contexts. This chapter reviews the successes, challenges, and lessons learned from three high-risk population-based teleglaucoma programs based in Canada, Ethiopia, and Kenya.
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Notes
- 1.
Access time refers to the time taken from referral to a glaucoma specialist to the appointment date with the glaucoma specialist.
- 2.
Cycle time is defined as time from registration to departure from the clinic. This includes time for testing and clinical assessment. Cycle time is analogous to the time taken to access care during the appointment.
References
Kapetanakis VV, Chan MPY, Foster PJ, Cook DG, Owen CG, Rudnicka AR. Global variations and time trends in the prevalence of primary open angle glaucoma (POAG): A systematic review and meta-analysis. Br J Ophthalmol. 2016;100(1):86–93. https://doi.org/10.1136/bjophthalmol-2015-307223.
World Health Organization. World report on vision. World Heal Organ. 2019;214(14):1–160.
Marques AP, Ramke J, Cairns J, et al. Global economic productivity losses from vision impairment and blindness. E-Clin Med. 2021;35. https://doi.org/10.1016/j.eclinm.2021.100852
Centers for Disease Control and Prevention. Vision Health Initiative (VHI). Don’t Let Glaucoma Steal Your Sight! https://www.cdc.gov/visionhealth/resources/features/glaucoma-awareness.html. Published 2020. Accessed May 2, 2020.
United Nations. World Population Prospects. Summary Indices: Life Expectancy at Birth—Both Sexes. https://population.un.org/wpp/Download/Standard/Mortality/. Published 2019. Accessed May 2, 2020.
Tanya SM, Abtahi M, Hafez A, et al. Evidence-informed approaches to teleglaucoma in Canada. Canadian Ophthalmology Society, Practice Resource Centre. https://www.cosprc.ca/wp-content/uploads/2021/04/ENGLISH-final-Evidence-informed-approaches-to-teleglaucoma-1.pdf. Published 2021. Accessed May 2, 2020.
Strouthidis NG, Chandrasekharan G, Diamond JP, Murdoch IE. Teleglaucoma: ready to go? Br J Ophthalmol. 2014;98(12):1605–11. https://doi.org/10.1136/bjophthalmol-2013-304133.
Thomas S, Jeyaraman M, Hodge WG, Hutnik C. The effectiveness of teleglaucoma versus in-patient examination for glaucoma screening: a systematic review and meta-Analysis. PLoS ONE. 2014;9(12):1–23. https://doi.org/10.1371/journal.pone.0113779.
Jamieson T, Care V, Wong I, Bhatia S. Virtual care: a framework for a patient-centric system. Women’s College Hospital. https://www.womenscollegehospital.ca/assets/pdf/wihv/WIHV_VirtualHealthSymposium.pdf. Published 2015. Accessed July 9, 2021.
AAO Telemedicine Task Force. Telemedicine for ophthalmology information statement. American Academy of Ophthalmology. https://www.aao.org/clinical-statement/telemedicine-ophthalmology-information-statement. Published 2018. Accessed July 9, 2021.
Canadian Medical Association. Virtual care in Canada: discussion paper. CMA Health Summit. https://www.cma.ca/sites/default/files/pdf/News/Virtual_Care_discussionpaper_v2EN.pdf. Published 2019. Accessed July 9, 2021.
Gan K, Liu Y, Stagg B, Rathi S, Pasquale LR, Damji K. Telemedicine for glaucoma: guidelines and recommendations. Telemed e-Health. 2020;26(4):551–4. https://doi.org/10.1089/tmj.2020.0009.
Kassam F, Amin S, Sogbesan E, Damji KF. The use of teleglaucoma at the University of Alberta. J Telemed Telecare. 2012;18(7):367–73. https://doi.org/10.1258/jtt.2012.120313.
Giorgis AT, Alemu AM, Arora S, et al. Results from the first teleglaucoma pilot project in Addis Ababa. Ethiopia J Glaucoma. 2019;28(8):701–7. https://doi.org/10.1097/IJG.0000000000001271.
Marco SA, Amin S, Virani A, et al. Detecting glaucoma in rural Kenya: results from a teleglaucoma pilot project in Nyamira, Kenya. J Glaucoma. 2021;30(3):e99–104. https://doi.org/10.1097/IJG.0000000000001742.
Kassam F, Yogesan K, Sogbesan E, Pasquale LR, Damji KF. Teleglaucoma: improving access and efficiency for glaucoma care. Middle East Afr J Ophthalmol. 2013;20(2):142–9. https://doi.org/10.4103/0974-9233.110619
Gan K, Liu Y, Stagg B, et al. Telemedicine for glaucoma: guidelines and recommendations. 2020;26(4):3–7. https://doi.org/10.1089/tmj.2020.0009
Odden JL, Khanna CL, Choo CM, et al. Telemedicine in long-term care of glaucoma patients. J Telemed Telecare. 2020;26(1–2):92–9. https://doi.org/10.1177/1357633X18797175.
John D, Parikh R. Cost-effectiveness of community screening for glaucoma in rural India: a decision analytical model. Public Health. 2018;155:142–51. https://doi.org/10.1016/j.puhe.2017.11.004
Tang J, Liang Y, O’Neill C, Kee F, Jiang J, Congdon N. Cost-effectiveness and cost-utility of population-based glaucoma screening in China: a decision-analytic Markov model. Lancet Glob Heal. 2019;7(7):e968–78. https://doi.org/10.1016/S2214-109X(19)30201-3
Rein DB, Wittenborn JS, Lee PP, et al. The cost-effectiveness of routine office-based identification and subsequent medical treatment of primary open-angle glaucoma in the United States. Ophthalmology. 2009;116(5):823–32. https://doi.org/10.1016/j.ophtha.2008.12.056
Thomas S, Hodge W, Malvankar-mehta M. The cost-effectiveness analysis of teleglaucoma screening device. 2015:1–12. https://doi.org/10.1371/journal.pone.0137913
Owens DK. Interpretation of cost-effectiveness analyses. J Gen Intern Med. 1998;13(10):716–7. https://doi.org/10.1046/j.1525-1497.1998.00211.x
Kassam F, Sogbesan E, Boucher S, et al. Collaborative care and teleglaucoma: a novel approach to delivering glaucoma services in Northern Alberta, Canada. Clin Exp Optom. 2013;96(6):577–80. https://doi.org/10.1111/cxo.12065
Health TLG. Closing the door on parachutes and parasites. Lancet Glob Heal. 2018;6(6):e593. https://doi.org/10.1016/S2214-109X(18)30239-0
Canadian Glaucoma Society Committee on Interprofessional Collaboration in Glaucoma Care. Model of interprofessional collaboration in the care of glaucoma patients and glaucoma suspects. Can J Ophthalmol. 2011;46(6):S1–S10. https://doi.org/10.1016/j.jcjo.2011.09.001
Arora S, Rudnisky CJ, Damji KF. Improved access and cycle time with an “In-house” patient-centered teleglaucoma program versus traditional in-person assessment. Telemed e-Health. 2014;20(5):439–45. https://doi.org/10.1089/tmj.2013.0241
Verma S, Arora S, Kassam F, Edwards MC, Damji KF. Northern Alberta remote teleglaucoma program: clinical outcomes and patient disposition. Can J Ophthalmol. 2014;49(2):135–40. https://doi.org/10.1016/j.jcjo.2013.11.005
Damji KF, Nazarali S, Giorgis A, et al. STOP Glaucoma in Sub Saharan Africa: enhancing awareness, detection, management, and capacity for glaucoma care. Expert Rev Ophthalmol. 2017;12(3):197–206. https://doi.org/10.1080/17469899.2017.1295848
Riva I, Micheletti E, Oddone F, et al. Anterior chamber angle assessment techniques: a review. J Clin Med. 2020;9(12):3814. https://doi.org/10.3390/jcm9123814
Phu J, Wang H, Khou V, Zhang S, Kalloniatis M. Remote grading of the anterior chamber angle using goniophotographs and optical coherence tomography: implications for telemedicine or virtual clinics. Transl Vis Sci Technol. 2019;8(5):16. https://doi.org/10.1167/tvst.8.5.16
Vinod K, Sidoti PA. Glaucoma care during the coronavirus disease 2019 pandemic. Curr Opin Ophthalmol. 2021;32(2):75–82. https://doi.org/10.1097/ICU.0000000000000730
Sandhu S, Rudnisky C, Arora S, et al. Compressed 3D and 2D digital images versus standard 3D slide film for the evaluation of glaucomatous optic nerve features. Br J Ophthalmol. 2018;102(3):364–8. https://doi.org/10.1136/bjophthalmol-2017-310447
Ting DSW, Pasquale LR, Peng L, et al. Artificial intelligence and deep learning in ophthalmology. Br J Ophthalmol. 2019;103(2):167–75. https://doi.org/10.1136/bjophthalmol-2018-313173
Ting DSW, Peng L, Varadarajan AV, et al. Deep learning in ophthalmology: the technical and clinical considerations. Prog Retin Eye Res. 2019;72:100759. https://doi.org/10.1016/j.preteyeres.2019.04.003
Moraru AD, Costin D, Moraru RL, Branisteanu DC. Artificial intelligence and deep learning in ophthalmology—present and future (review). Exp Ther Med. 2020;20(4):3469–73. https://doi.org/10.3892/etm.2020.9118
Balyen L, Peto T. Promising artificial intelligence-machine learning-deep learning algorithms in ophthalmology. Asia-Pacific J Ophthalmol (Philadelphia, Pa). 2019;8(3):264–72. https://doi.org/10.22608/APO.2018479
Brockmeier EK. The world’s first general purpose computer turns 75. PennToday. https://penntoday.upenn.edu/news/worlds-first-general-purpose-computer-turns-75. Published 2021. Accessed June 30, 2021.
Mohaghegh N, Ghafar-Zadeh E, Magierowski S. Recent advances of computerized graphical methods for the detection and progress assessment of visual distortion caused by macular disorders. Vis. 2019;3(2). doi:https://doi.org/10.3390/vision3020025
Saleem SM, Pasquale LR, Sidoti PA, Tsai JC. Virtual ophthalmology: telemedicine in a COVID-19 Era. Am J Ophthalmol. 2020;216:237–42. https://doi.org/10.1016/j.ajo.2020.04.029
Sircar T, Mishra A, Bopardikar A, Tiwari VN. GearVision: Smartphone based head mounted perimeter for detection of visual field defects. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2018, p. 5402–5. https://doi.org/10.1109/EMBC.2018.8513574
Mohammadpour M, Mohammadpour L, Hassanzad M. Smartphone assisted slit lamp free anterior segment imaging: a novel technique in teleophthalmology. Contact Lens Anterior Eye. 2016;39(1):80–1. https://doi.org/10.1016/j.clae.2015.09.005
Idriss BR, Tran TM, Atwine D, Chang RT, Myung D, Onyango J. Smartphone-based ophthalmic imaging compared with spectral-domain optical coherence tomography assessment of vertical cup-to-disc ratio among adults in Southwestern Uganda. J Glaucoma. 2021;30(3):e90–8. https://doi.org/10.1097/IJG.0000000000001779
Kumar N, Bandello F, Sharma A. Smartphone-based Gonio-imaging: a novel addition to glaucoma screening tools. J Glaucoma. 2019;28(9):e149–50. https://doi.org/10.1097/IJG.0000000000001306
Mohammadpour M, Heidari Z, Mirghorbani M, Hashemi H. Smartphones, tele-ophthalmology, and VISION 2020. Int J Ophthalmol. 2017;10(12):1909–18. https://doi.org/10.18240/ijo.2017.12.19
Cvenkel B, Velkovska MA, Jordanova VD. Self-measurement with Icare HOME tonometer, patients’ feasibility and acceptability. Eur J Ophthalmol. 2020;30(2):258–63. https://doi.org/10.1177/1120672118823124
Kapoor R, Yuksel-Elgin C, Patel V, et al. Detecting common eye diseases using the first teleophthalmology GlobeChek Kiosk in the United States: a pilot study. Asia-Pacific J Ophthalmol (Philadelphia, Pa). 2020;9(4):315–25. https://doi.org/10.1097/APO.0000000000000295
Tang RA, Morales M, Ricur G, Schiffman JS. Telemedicine for eye care. J Telemed Telecare. 2005;11(8):391–6.
The University of Alberta. STOP Glaucoma: Preventing and Treating Avoidable Blindness from Glaucoma in Sub-Saharan Africa. Department of Ophthalmology and Visual Sciences. https://www.ualberta.ca/ophthalmology/about-the-department/international-ophthalmology/stop-glaucoma.html. Accessed July 1, 2021.
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Tanya, S.M., Giorgis, A.T., Marco, S., Damji, K.F. (2023). Teleglaucoma: Tools for Enhancing Access to Glaucoma Care for At-Risk and Underserved Populations. In: Yogesan, K., Goldschmidt, L., Cuadros, J., Ricur, G. (eds) Digital Eye Care and Teleophthalmology. Springer, Cham. https://doi.org/10.1007/978-3-031-24052-2_27
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