Derleme
BibTex RIS Kaynak Göster

Systematic Analysis of the Economic Evaluation of Remote Health Services: The Case of Diabetic Retinopathy

Yıl 2024, Cilt: 33 Sayı: 3, 172 - 185, 30.09.2024
https://doi.org/10.17827/aktd.1518583

Öz

Diabetic retinopathy is a costly global health problem faced by 3 out of 4 patients with diabetes. Telemedicine-based screening for diabetic retinopathy is new. This method lacks sufficient economic evaluation evidence. The aim of the study was to see the outcomes of the economic evaluation of telemedicine-based screening methods for diabetic retinopathy. To this end, Pubmed and Scopus databases were utilized and systematic analysis method was used. The search included studies published in English between 1977 and 2023 with remote health services and economic evaluation methods. As a result of the search, 1,649 studies were found. As a result of the study, it was seen that telemedicine-based screening for diabetic retinopathy can provide significant cost savings.

Kaynakça

  • 1. American Telemedicine. Available from: https://www.americantelemed.org/resource/why-telemedicine/. Accessed: 12.09.2023.
  • 2. World Health Organization (WHO). Available from: https://www.who.int/publications/m/item/introducing-the-global-diabetes-compact. Accessed: 12.09.2023.
  • 3. Türkiye Diyabet Vakfı. Available from: https://www.turkdiab.org/bilgiler.asp?lang=TR&id=64. Accessed: 14.09.2023.
  • 4. Galiero, R., Pafundi, P. C., Nevola, R., Rinaldi, L., Acierno, C., Caturano et al.. The Importance of Telemedicine during COVID-19 Pandemic: A Focus on Diabetic Retinopathy. Journal of Diabetes Research. 2020; 9036847.
  • 5. Artunay, Ö., Özçalışkan, Ş., Aydın, R. Diyabetik retinopati ve makulopati: diğer tanı ve görüntüleme yöntemleri. In Diyabetik Retinopati ve Makulopati. Türkiye Klinikleri. 2021; 1, 56-63.
  • 6. Diyabetim ben. Available from: https://www.diyabetimben.com/diyabete-bagli-gorme-bozuklugu-tedavisinde-umut/. Accessed: 14.09.2023.
  • 7. Kalogeropoulos, D., Kalogeropoulos, C., Stefaniotou, M., Neofytou, M. The role of tele-ophthalmology in diabetic retinopathy screening. In Journal of Optometry. 2020; 13(4).
  • 8. Pasquel, F. J., Hendrick, A. M., Ryan, M., Cason, E., Ali, M. K., Narayan, K. M. V. Cost-effectiveness of Different Diabetic Retinopathy Screening Modalities. Journal of Diabetes Science and Technology. 2016; 10(2), 301–307.
  • 9. Salongcay, R. P., Silva, P. S. The role of teleophthalmology in the management of diabetic retinopathy. In Asia-Pacific Journal of Ophthalmology. 2018; 7(1).
  • 10. Wilson, C., Horton, M., Cavallerano, J., Aiello, L. M. Addition of primary care-based retinal imaging technology to an existing eye care professional referral program increased the rate of surveillance and treatment of diabetic retinopathy. Diabetes Care. 2005; 28(2).
  • 11. Bawankar, P., Shanbhag, N., Smitha K, S., Dhawan, B., Palsule, A., Kumar, D., Chandel, S., Sood, S. Sensitivity and specificity of automated analysis of single-field non-mydriatic fundus photographs by Bosch DR Algorithm—Comparison with mydriatic fundus photography (ETDRS) for screening in undiagnosed diabetic retinopathy. PLoS ONE. 2017; 12(12).
  • 12. Çelik, Y. Sağlık ekonomisi. 3. Baskı. Ankara: Siyasal, 2016.
  • 13. Tatar, M. Hastane Yönetimi. Sağlık Ekonomisi. (Eds. H. Sur, T. Palteki ): 337-354. Nobel Tıp Kitapevi, 2013.
  • 14. Dewar, D. M. Essentials of health economics. Jones and Bartlett Publishers, 2010.
  • 15. Higgins, J. P. T., Green, S. Cochrane Handbook for Systematic Reviews of Interventions, 2011. Available from: http://www.mrc-bsu.cam.ac.uk/ cochrane/ handbook/.
  • 16. Elsevier. Available from: https://www.elsevier.com/solutions/scopus/how-scopus-works/content?dgcid=RN_AGCM_Sourced_300005030. Accessed: 13.10.2023.
  • 17. Yi̇ği̇t, A., Değerli̇, H. (2019). The Systematic Analysis of the Effectiveness of Breast Cancer Screening Programs Meme Kanseri Tarama Programlarının Maliyet Etkililiğinin Sistematik Analizi. Sağlık ve Toplum, 2019; 29(3), 29.
  • 18. Eakin, E. G., Reeves, M. M., Marshall, A. L., Dunstan, D. W., Graves, N., Healy, G. N., et al.. Living Well with Diabetes: a randomized controlled trial of a telephone-delivered intervention for maintenance of weight loss, physical activity and glycaemic control in adults with type 2 diabetes. BMC Public Health. 2010;10:452.
  • 19. Faleh AlMutairi, M., Tourkmani, A. M., Alrasheedy, A. A., ALHarbi, T. J., Bin Rsheed, A. M., ALjehani, M., et al.. Cost-effectiveness of telemedicine care for patients with uncontrolled type 2 diabetes mellitus during the COVID-19 pandemic in Saudi Arabia. Ther Adv Chronic Dis. 2021;12.
  • 20. Farmer, A., Jones, L., Newhouse, N., Kenning, C., Williams, N., Chi, Y., Bartlett, Y. K., et al.. Supporting People With Type 2 Diabetes in the Effective Use of Their Medicine Through Mobile Health Technology Integrated With Clinical Care to Reduce Cardiovascular Risk: Protocol for an Effectiveness and Cost-effectiveness Randomized Controlled Trial. JMIR Research Protocols. 2022; 11(2).
  • 21. Fasterholdt, I., Gerstrøm, M., Rasmussen, B. S. B., Yderstræde, K. B., Kidholm, K., Pedersen, K. M. Cost-effectiveness of telemonitoring of diabetic foot ulcer patients. Health Informatics Journal. 2018; 24(3), 245–258.
  • 22. Fischer, H. H., Eisert, S. L., Everhart, R. M., Durfee, M. J., Moore, S. L., Soria, S., et al.. Nurse-run, telephone-based outreach to improve lipids in people with diabetes. American Journal of Managed Care. 2012; 18(2), 77–84.
  • 23. Fountoulakis, S., Papanastasiou, L., Gryparis, A., Markou, A., Piaditis, G. Impact and duration effect of telemonitoring on ΗbA1c, BMI and cost in insulin-treated Diabetes Mellitus patients with inadequate glycemic control: A randomized controlled study. Hormones. 2015; 14(4), 632–643.
  • 24. Galdran, A., Chelbi, J., Kobi, R., Dolz, J., Lombaert, H., Ayed, I. B., et al.. Non-uniform label smoothing for diabetic retinopathy grading from retinal fundus images with deep neural networks. Translational Vision Science and Technology. 2020; 9(2), 1–8.
  • 25. Haghparast-Bidgoli, H., Shaha, S. K., Kuddus, A., Chowdhury, M. A. R., Jennings, H., Ahmed, N., et al.. Protocol of economic evaluation and equity impact analysis of mHealth and community groups for prevention and control of diabetes in rural Bangladesh in a three-arm cluster randomised controlled trial. BMJ Open. 2018; 8(8).
  • 26. Kaufman, N. D., Patnoe Woodley, P. D. Self-management support interventions that are clinically linked and technology enabled: Can they successfully prevent and treat diabetes? Journal of Diabetes Science and Technology. 2011; 5(3), 798–803.
  • 27. Lee, J. Y., Lee, S. W. H. Telemedicine Cost-Effectiveness for Diabetes Management: A Systematic Review. Diabetes Technology and Therapeutics. 2018; 20(7), 492–500.
  • 28. Li, R., Yang, Z., Zhang, Y., Bai, W., Du, Y., Sun, R. et al.. Cost-effectiveness and cost-utility of traditional and telemedicine combined population-based age-related macular degeneration and diabetic retinopathy screening in rural and urban China. The Lancet Regional Health - Western Pacific. 2022; 23.
  • 29. Liu, H., Li, R., Zhang, Y., Zhang, K., Yusufu, M., Liu, Y. et al.. Economic evaluation of combined population-based screening for multiple blindness-causing eye diseases in China: a cost-effectiveness analysis. The Lancet Global Health. 2023; 11(3).
  • 30. Odnoletkova, I., Goderis, G., Nobels, F., Aertgeerts, B., Annemans, L., Ramaekers, D.. Nurse-led telecoaching of people with type 2 diabetes in primary care: Rationale, design and baseline data of a randomized controlled trial. BMC Family Practice. 2014; 15(1).
  • 31. Palmas, W., Shea, S., Starren, J., Teresi, J. A., Ganz, M. L., Burton, T. M. et al.. Medicare payments, healthcare service use, and telemedicine implementation costs in a randomized trial comparing telemedicine case management with usual care in medically underserved participants with diabetes mellitus (IDEATel). Journal of the American Medical Informatics Association. 2010; 17(2).
  • 32. Rachmilevich, A., Yanculovich, N., Hazan, I., Tsumi, E., Liberty, I. F.. Glycemic control and macular edema in patients undergoing cataract surgery. Primary Care Diabetes. 2023; 17(1), 55–59.
  • 33. Schechter, C. B., Walker, E. A., Ortega, F. M., Chamany, S., Silver, L. D. Costs and effects of a telephonic diabetes self-management support intervention using health educators. Journal of Diabetes and Its Complications. 2016; 30(2), 300–305.
  • 34. Shea, S., Starren, J., Weinstock, R. S., Knudson, P. E., Teresi, J., Holmes, D. et al.. Columbia University’s Informatics for Diabetes Education and Telemedicine (IDEATel) Project: rationale and design. Journal of the American Medical Informatics Association. 2002; 9(1).
  • 35. Ullah, W., Pathan, S. K., Panchal, A., Anandan, S., Saleem, K., Sattar, Y. et al.. Cost-effectiveness and diagnostic accuracy of telemedicine in macular disease and diabetic retinopathy: A systematic review and meta-analysis. Medicine. 2020; 99(25).
  • 36. Varney, J. E., Liew, D., Weiland, T. J., Inder, W. J., Jelinek, G. A. The cost-effectiveness of hospital-based telephone coaching for people with type 2 diabetes: A 10 year modelling analysis. BMC Health Services Research. 2016; 16(1).
  • 37. Verhoeven, F., Van Gemert-Pijnen, L., Dijkstra, K., Nijland, N., Seydel, E., Steehouder, M. The contribution of teleconsultation and videoconferencing to diabetes care: A systematic literature review. Journal of Medical Internet Research. 2007; 9(5).
  • 38. Wan, W., Nathan, A. G., Reza Skandari, M., Zarei, P., Reid, M. W., Raymond, J. K. et al.. Cost-effectiveness of shared telemedicine appointments in young adults with T1D: CoyoT1 trial. Diabetes Care. 2019; 42(8), 1589–1592.
  • 39. Wild, S., Hanley, J., Lewis, S., McKnight, J., McCloughan, L., Padfield, P. et al.. The impact of supported telemetric monitoring in people with type 2 diabetes: Study protocol for a randomised controlled trial. Trials. 2013; 14(1).
  • 40. Zhai, Y.-K., Zhu, W.-J., Cai, Y.-L., Sun, D.-X., Zhao, J. Clinical- and cost-effectiveness of telemedicine in type 2 diabetes mellitus: A systematic review and meta-analysis. Medicine (United States). 2014; 93(28), 312.
  • 41. Bursell, S. E., Brazionis, L., Jenkins, A. Telemedicine and ocular health in diabetes mellitus. In Clinical and Experimental Optometry. 2012; 95(3), 311-327.
  • 42. Liu, Y., Torres Diaz, A., Benkert, R. Scaling Up Teleophthalmology for Diabetic Eye Screening: Opportunities for Widespread Implementation in the USA. In Current Diabetes Reports. 2019; 19(9).
  • 43. Muqri, H., Shrivastava, A., Muhtadi, R., Chuck, R. S., Mian, U. K. The Cost-Effectiveness of a Telemedicine Screening Program for Diabetic Retinopathy in New York City. Clinical Ophthalmology. 2022; 16, 1505–1512.
  • 44. Dorali, P., Shahmoradi, Z., Weng, C. Y., Lee, T. Cost-effectiveness Analysis of a Personalized, Teleretinal-Inclusive Screening Policy for Diabetic Retinopathy via Markov Modeling. Ophthalmology Retina. 2023; 7(6).
  • 45. Lin, S., Ma, Y., Xu, Y., Lu, L., He, J., Zhu, J. et al.. Artificial Intelligence in Community-Based Diabetic Retinopathy Telemedicine Screening in Urban China: Cost-effectiveness and Cost-Utility Analyses With Real-world Data. JMIR Public Health and Surveillance. 2023; 9.
  • 46. Avidor, D., Loewenstein, A., Waisbourd, M., Nutman, A. Cost-effectiveness of diabetic retinopathy screening programs using telemedicine: A systematic review. Cost Effectiveness and Resource Allocation. 2020; 18(1).
  • 47. Ben, Â. J., Neyeloff, J. L., de Souza, C. F., Rosses, A. P. O., de Araujo, A. L., Szortika, A. et al.. Cost-utility Analysis of Opportunistic and Systematic Diabetic Retinopathy Screening Strategies from the Perspective of the Brazilian Public Healthcare System. Applied Health Economics and Health Policy. 2020; 18(1), 57–68.
  • 48. Stanimirovic, A., Francis, T., Shahid, N., Sutakovic, O., Merritt, R., Brent, M. H. et al.. Tele-retina screening of diabetic retinopathy among at-risk populations: an economic analysis. Canadian Journal of Ophthalmology. 2020; 55(1).
  • 49. Kanjee, R., Dookeran, R. I., Mathen, M. K., Stockl, F. A., Leicht, R. Six-year prevalence and incidence of diabetic retinopathy and cost-effectiveness of tele-ophthalmology in Manitoba. Canadian Journal of Ophthalmology. 2017; 52.
  • 50. Nguyen, H. V., Tan, G. S. W., Tapp, R. J., Mital, S., Ting, D. S. W., Wong, H. T. et al.. Cost-effectiveness of a National Telemedicine Diabetic Retinopathy Screening Program in Singapore. Ophthalmology. 2016; 123(12), 2571–2580.
  • 51. Pasquel, F. J., Hendrick, A. M., Ryan, M., Cason, E., Ali, M. K., Narayan, K. M. V. Cost-effectiveness of Different Diabetic Retinopathy Screening Modalities. Journal of Diabetes Science and Technology. 2016; 10(2), 301–307.
  • 52. Rachapelle, S., Legood, R., Alavi, Y., Lindfield, R., Sharma, T., Kuper, H. et al.. The cost-utility of telemedicine to screen for diabetic retinopathy in india. Ophthalmology. 2013; 120(3), 566–573.
  • 53. Kirkizlar, E., Serban, N., Sisson, J. A., Swann, J. L., Barnes, C. S., Williams, M. D. Evaluation of telemedicine for screening of diabetic retinopathy in the veterans health administration. Ophthalmology. 2013; 120(12).
  • 54. Li, Z., Wu, C., Olayiwola, J. N., Hilaire, D. S., Huang, J. J. Telemedicine-based digital retinal imaging vs standard ophthalmologic evaluation for the assessment of diabetic retinopathy. Connecticut Medicine. 2012; 76(2), 85–90.
  • 55. Rein, D. B., Wittenborn, J. S., Zhang, X., Allaire, B. A., Song, M. S., Klein, R. et al.. The cost-effectiveness of three screening alternatives for people with diabetes with no or early diabetic retinopathy. Health Services Research. 2011; 46(5), 1534–1561.
  • 56. Aoki, N., Dunn, K., Fukui, T., Beck, J. R., Schull, W. J., Li, H. K. Cost-Effectiveness An.alysis of Telemedicine to Evaluate Diabetic Retinopathy in a Prison Population. Diabetes Care. 2004; 27(5), 1095–1101.
  • 57. Maberley, D., Walker, H., Koushik, A., Cruess, A. Screening for diabetic retinopathy in James Bay, Ontario: A cost-effectiveness analysis. CMAJ. Canadian Medical Association Journal. 2003; 168(2), 160–164.
  • 58. Bjørvig, S., Johansen, M. A., Fossen, K. An economic analysis of screening for diabetic retinopathy. Journal of Telemedicine and Telecare. 2002; 8(1), 32–35.
  • 59. Bornova İlçe Sağlık Müdürlüğü. Available from: https://bornovasm.ism.gov.tr/Haber.aspx?hyn=9919. Accessed: 17.07.2024.
  • 60. Diyabet cemiyeti. Available from: https://diyabetcemiyeti.org/diyabet-istatistikleri/IDFDiyabetAtlasi/turkiye-de-ve-bolge-ulkelerinde-diyabet-sorunu. Accessed: 17.07.2024.
  • 61. Sosyal Güvenlik Kurumu (SGK) Available from: https://www.sgk.gov.tr/Haber/Detay/Diyabet-Parlamentosu-SGKda-yapildi-2022-11-15-09-06-30. Accessed: 16.07.2024.
  • 62. Türkiye İstatistik Kurumu (TÜİK). Available from: https://data.tuik.gov.tr/Bulten/Index?p=Turkiye-Saglik-Arastirmasi-2022-49747&dil=1. Accessed: 16.07.2024.
  • 63. Sağlık İstatistikleri Yıllığı. Available from: https://www.saglik.gov.tr/TR,95109/saglik-istatistikleri-yilligi-2021-yayinlanmistir.html. Accessed: 16.09.2023.
  • 64. Taş, A., Zeki Bayraktar, M., Erdem, Ü., Sobacı, G., Uçar, M. Diyabetik hastalarda retinopati sıklığı ve risk faktörleri. Gülhane Tıp Dergisi. 2005; 47, 164–174.
  • 65. Resnikoff, S., Pascolini, D., Etya’ale, D., Kocur, I., Pararajasegaram, R., Pokharel, G. P. et al.. Global data on visual impairment in the year 2002. Bulletin of the World Health Organization. 2004; 82(11), 844–851.
  • 66. Uppamma, P., Bhattacharya, S. Diabetic retinopathy detection: A blockchain and African vulture optimization algorithm-based deep learning framework. Electronics. 2023; 12(3), 742.
  • 67. Jena, M., Mishra, D., Mishra, S. P., Mallick, P. K., Kumar, S. Exploring the parametric impact on a deep learning model and proposal of a 2-branch CNN for diabetic retinopathy classification with case study in IoT-Blockchain based smart healthcare system. Informatica. 2022; 46(2).
  • 68. Prasad, P. S., Beena Bethel, G. N., Singh, N., Kumar Gunjan, V., Basir, S., Miah, S. [Retracted] Blockchain‐Based Privacy Access Control Mechanism and Collaborative Analysis for Medical Images. Security and Communication Networks, 2022(1), 9579611.

Uzaktan Sağlık Hizmetlerinin Ekonomik Değerlendirmesinin Sistematik Analizi: Diyabetik Retinopati Örneği

Yıl 2024, Cilt: 33 Sayı: 3, 172 - 185, 30.09.2024
https://doi.org/10.17827/aktd.1518583

Öz

Diyabetik retinopati her 4 diyabetli hastadan 3’ünün karşılaştığı, maliyetli küresel bir sağlık sorunudur. Diyabetik retinopati için teletıp tabanlı tarama yeni bir yöntemdir. Bu yöntem, yeterli ekonomik değerlendirme kanıtlarına sahip değildir. Çalışmanın amacı, diyabetik retinopati için teletıp tabanlı tarama yöntemlerinin ekonomik değerlendirmesine dair çıktıları görmektir. Bu doğrultuda, Pubmed ve Scopus veri tabanlarından faydalanılarak sistematik analiz yöntemi kullanılmıştır. Taramaya 1977-2023 yılları arasında İngilizce olarak yayınlanan, uzaktan sağlık hizmetlerine ve ekonomik değerlendirme yöntemlerine sahip çalışmalar dahil edilmiştir. Tarama sonucunda 1.649 çalışma olduğu görülmüştür. Tarama kriterleri çerçevesinde 14 yayın değerlendirilmiştir. Çalışma sonucunda, diyabetik retinopati için teletıp tabanlı taramaların ciddi bir maliyet tasarrufu sağlayabileceği görülmüştür.

Kaynakça

  • 1. American Telemedicine. Available from: https://www.americantelemed.org/resource/why-telemedicine/. Accessed: 12.09.2023.
  • 2. World Health Organization (WHO). Available from: https://www.who.int/publications/m/item/introducing-the-global-diabetes-compact. Accessed: 12.09.2023.
  • 3. Türkiye Diyabet Vakfı. Available from: https://www.turkdiab.org/bilgiler.asp?lang=TR&id=64. Accessed: 14.09.2023.
  • 4. Galiero, R., Pafundi, P. C., Nevola, R., Rinaldi, L., Acierno, C., Caturano et al.. The Importance of Telemedicine during COVID-19 Pandemic: A Focus on Diabetic Retinopathy. Journal of Diabetes Research. 2020; 9036847.
  • 5. Artunay, Ö., Özçalışkan, Ş., Aydın, R. Diyabetik retinopati ve makulopati: diğer tanı ve görüntüleme yöntemleri. In Diyabetik Retinopati ve Makulopati. Türkiye Klinikleri. 2021; 1, 56-63.
  • 6. Diyabetim ben. Available from: https://www.diyabetimben.com/diyabete-bagli-gorme-bozuklugu-tedavisinde-umut/. Accessed: 14.09.2023.
  • 7. Kalogeropoulos, D., Kalogeropoulos, C., Stefaniotou, M., Neofytou, M. The role of tele-ophthalmology in diabetic retinopathy screening. In Journal of Optometry. 2020; 13(4).
  • 8. Pasquel, F. J., Hendrick, A. M., Ryan, M., Cason, E., Ali, M. K., Narayan, K. M. V. Cost-effectiveness of Different Diabetic Retinopathy Screening Modalities. Journal of Diabetes Science and Technology. 2016; 10(2), 301–307.
  • 9. Salongcay, R. P., Silva, P. S. The role of teleophthalmology in the management of diabetic retinopathy. In Asia-Pacific Journal of Ophthalmology. 2018; 7(1).
  • 10. Wilson, C., Horton, M., Cavallerano, J., Aiello, L. M. Addition of primary care-based retinal imaging technology to an existing eye care professional referral program increased the rate of surveillance and treatment of diabetic retinopathy. Diabetes Care. 2005; 28(2).
  • 11. Bawankar, P., Shanbhag, N., Smitha K, S., Dhawan, B., Palsule, A., Kumar, D., Chandel, S., Sood, S. Sensitivity and specificity of automated analysis of single-field non-mydriatic fundus photographs by Bosch DR Algorithm—Comparison with mydriatic fundus photography (ETDRS) for screening in undiagnosed diabetic retinopathy. PLoS ONE. 2017; 12(12).
  • 12. Çelik, Y. Sağlık ekonomisi. 3. Baskı. Ankara: Siyasal, 2016.
  • 13. Tatar, M. Hastane Yönetimi. Sağlık Ekonomisi. (Eds. H. Sur, T. Palteki ): 337-354. Nobel Tıp Kitapevi, 2013.
  • 14. Dewar, D. M. Essentials of health economics. Jones and Bartlett Publishers, 2010.
  • 15. Higgins, J. P. T., Green, S. Cochrane Handbook for Systematic Reviews of Interventions, 2011. Available from: http://www.mrc-bsu.cam.ac.uk/ cochrane/ handbook/.
  • 16. Elsevier. Available from: https://www.elsevier.com/solutions/scopus/how-scopus-works/content?dgcid=RN_AGCM_Sourced_300005030. Accessed: 13.10.2023.
  • 17. Yi̇ği̇t, A., Değerli̇, H. (2019). The Systematic Analysis of the Effectiveness of Breast Cancer Screening Programs Meme Kanseri Tarama Programlarının Maliyet Etkililiğinin Sistematik Analizi. Sağlık ve Toplum, 2019; 29(3), 29.
  • 18. Eakin, E. G., Reeves, M. M., Marshall, A. L., Dunstan, D. W., Graves, N., Healy, G. N., et al.. Living Well with Diabetes: a randomized controlled trial of a telephone-delivered intervention for maintenance of weight loss, physical activity and glycaemic control in adults with type 2 diabetes. BMC Public Health. 2010;10:452.
  • 19. Faleh AlMutairi, M., Tourkmani, A. M., Alrasheedy, A. A., ALHarbi, T. J., Bin Rsheed, A. M., ALjehani, M., et al.. Cost-effectiveness of telemedicine care for patients with uncontrolled type 2 diabetes mellitus during the COVID-19 pandemic in Saudi Arabia. Ther Adv Chronic Dis. 2021;12.
  • 20. Farmer, A., Jones, L., Newhouse, N., Kenning, C., Williams, N., Chi, Y., Bartlett, Y. K., et al.. Supporting People With Type 2 Diabetes in the Effective Use of Their Medicine Through Mobile Health Technology Integrated With Clinical Care to Reduce Cardiovascular Risk: Protocol for an Effectiveness and Cost-effectiveness Randomized Controlled Trial. JMIR Research Protocols. 2022; 11(2).
  • 21. Fasterholdt, I., Gerstrøm, M., Rasmussen, B. S. B., Yderstræde, K. B., Kidholm, K., Pedersen, K. M. Cost-effectiveness of telemonitoring of diabetic foot ulcer patients. Health Informatics Journal. 2018; 24(3), 245–258.
  • 22. Fischer, H. H., Eisert, S. L., Everhart, R. M., Durfee, M. J., Moore, S. L., Soria, S., et al.. Nurse-run, telephone-based outreach to improve lipids in people with diabetes. American Journal of Managed Care. 2012; 18(2), 77–84.
  • 23. Fountoulakis, S., Papanastasiou, L., Gryparis, A., Markou, A., Piaditis, G. Impact and duration effect of telemonitoring on ΗbA1c, BMI and cost in insulin-treated Diabetes Mellitus patients with inadequate glycemic control: A randomized controlled study. Hormones. 2015; 14(4), 632–643.
  • 24. Galdran, A., Chelbi, J., Kobi, R., Dolz, J., Lombaert, H., Ayed, I. B., et al.. Non-uniform label smoothing for diabetic retinopathy grading from retinal fundus images with deep neural networks. Translational Vision Science and Technology. 2020; 9(2), 1–8.
  • 25. Haghparast-Bidgoli, H., Shaha, S. K., Kuddus, A., Chowdhury, M. A. R., Jennings, H., Ahmed, N., et al.. Protocol of economic evaluation and equity impact analysis of mHealth and community groups for prevention and control of diabetes in rural Bangladesh in a three-arm cluster randomised controlled trial. BMJ Open. 2018; 8(8).
  • 26. Kaufman, N. D., Patnoe Woodley, P. D. Self-management support interventions that are clinically linked and technology enabled: Can they successfully prevent and treat diabetes? Journal of Diabetes Science and Technology. 2011; 5(3), 798–803.
  • 27. Lee, J. Y., Lee, S. W. H. Telemedicine Cost-Effectiveness for Diabetes Management: A Systematic Review. Diabetes Technology and Therapeutics. 2018; 20(7), 492–500.
  • 28. Li, R., Yang, Z., Zhang, Y., Bai, W., Du, Y., Sun, R. et al.. Cost-effectiveness and cost-utility of traditional and telemedicine combined population-based age-related macular degeneration and diabetic retinopathy screening in rural and urban China. The Lancet Regional Health - Western Pacific. 2022; 23.
  • 29. Liu, H., Li, R., Zhang, Y., Zhang, K., Yusufu, M., Liu, Y. et al.. Economic evaluation of combined population-based screening for multiple blindness-causing eye diseases in China: a cost-effectiveness analysis. The Lancet Global Health. 2023; 11(3).
  • 30. Odnoletkova, I., Goderis, G., Nobels, F., Aertgeerts, B., Annemans, L., Ramaekers, D.. Nurse-led telecoaching of people with type 2 diabetes in primary care: Rationale, design and baseline data of a randomized controlled trial. BMC Family Practice. 2014; 15(1).
  • 31. Palmas, W., Shea, S., Starren, J., Teresi, J. A., Ganz, M. L., Burton, T. M. et al.. Medicare payments, healthcare service use, and telemedicine implementation costs in a randomized trial comparing telemedicine case management with usual care in medically underserved participants with diabetes mellitus (IDEATel). Journal of the American Medical Informatics Association. 2010; 17(2).
  • 32. Rachmilevich, A., Yanculovich, N., Hazan, I., Tsumi, E., Liberty, I. F.. Glycemic control and macular edema in patients undergoing cataract surgery. Primary Care Diabetes. 2023; 17(1), 55–59.
  • 33. Schechter, C. B., Walker, E. A., Ortega, F. M., Chamany, S., Silver, L. D. Costs and effects of a telephonic diabetes self-management support intervention using health educators. Journal of Diabetes and Its Complications. 2016; 30(2), 300–305.
  • 34. Shea, S., Starren, J., Weinstock, R. S., Knudson, P. E., Teresi, J., Holmes, D. et al.. Columbia University’s Informatics for Diabetes Education and Telemedicine (IDEATel) Project: rationale and design. Journal of the American Medical Informatics Association. 2002; 9(1).
  • 35. Ullah, W., Pathan, S. K., Panchal, A., Anandan, S., Saleem, K., Sattar, Y. et al.. Cost-effectiveness and diagnostic accuracy of telemedicine in macular disease and diabetic retinopathy: A systematic review and meta-analysis. Medicine. 2020; 99(25).
  • 36. Varney, J. E., Liew, D., Weiland, T. J., Inder, W. J., Jelinek, G. A. The cost-effectiveness of hospital-based telephone coaching for people with type 2 diabetes: A 10 year modelling analysis. BMC Health Services Research. 2016; 16(1).
  • 37. Verhoeven, F., Van Gemert-Pijnen, L., Dijkstra, K., Nijland, N., Seydel, E., Steehouder, M. The contribution of teleconsultation and videoconferencing to diabetes care: A systematic literature review. Journal of Medical Internet Research. 2007; 9(5).
  • 38. Wan, W., Nathan, A. G., Reza Skandari, M., Zarei, P., Reid, M. W., Raymond, J. K. et al.. Cost-effectiveness of shared telemedicine appointments in young adults with T1D: CoyoT1 trial. Diabetes Care. 2019; 42(8), 1589–1592.
  • 39. Wild, S., Hanley, J., Lewis, S., McKnight, J., McCloughan, L., Padfield, P. et al.. The impact of supported telemetric monitoring in people with type 2 diabetes: Study protocol for a randomised controlled trial. Trials. 2013; 14(1).
  • 40. Zhai, Y.-K., Zhu, W.-J., Cai, Y.-L., Sun, D.-X., Zhao, J. Clinical- and cost-effectiveness of telemedicine in type 2 diabetes mellitus: A systematic review and meta-analysis. Medicine (United States). 2014; 93(28), 312.
  • 41. Bursell, S. E., Brazionis, L., Jenkins, A. Telemedicine and ocular health in diabetes mellitus. In Clinical and Experimental Optometry. 2012; 95(3), 311-327.
  • 42. Liu, Y., Torres Diaz, A., Benkert, R. Scaling Up Teleophthalmology for Diabetic Eye Screening: Opportunities for Widespread Implementation in the USA. In Current Diabetes Reports. 2019; 19(9).
  • 43. Muqri, H., Shrivastava, A., Muhtadi, R., Chuck, R. S., Mian, U. K. The Cost-Effectiveness of a Telemedicine Screening Program for Diabetic Retinopathy in New York City. Clinical Ophthalmology. 2022; 16, 1505–1512.
  • 44. Dorali, P., Shahmoradi, Z., Weng, C. Y., Lee, T. Cost-effectiveness Analysis of a Personalized, Teleretinal-Inclusive Screening Policy for Diabetic Retinopathy via Markov Modeling. Ophthalmology Retina. 2023; 7(6).
  • 45. Lin, S., Ma, Y., Xu, Y., Lu, L., He, J., Zhu, J. et al.. Artificial Intelligence in Community-Based Diabetic Retinopathy Telemedicine Screening in Urban China: Cost-effectiveness and Cost-Utility Analyses With Real-world Data. JMIR Public Health and Surveillance. 2023; 9.
  • 46. Avidor, D., Loewenstein, A., Waisbourd, M., Nutman, A. Cost-effectiveness of diabetic retinopathy screening programs using telemedicine: A systematic review. Cost Effectiveness and Resource Allocation. 2020; 18(1).
  • 47. Ben, Â. J., Neyeloff, J. L., de Souza, C. F., Rosses, A. P. O., de Araujo, A. L., Szortika, A. et al.. Cost-utility Analysis of Opportunistic and Systematic Diabetic Retinopathy Screening Strategies from the Perspective of the Brazilian Public Healthcare System. Applied Health Economics and Health Policy. 2020; 18(1), 57–68.
  • 48. Stanimirovic, A., Francis, T., Shahid, N., Sutakovic, O., Merritt, R., Brent, M. H. et al.. Tele-retina screening of diabetic retinopathy among at-risk populations: an economic analysis. Canadian Journal of Ophthalmology. 2020; 55(1).
  • 49. Kanjee, R., Dookeran, R. I., Mathen, M. K., Stockl, F. A., Leicht, R. Six-year prevalence and incidence of diabetic retinopathy and cost-effectiveness of tele-ophthalmology in Manitoba. Canadian Journal of Ophthalmology. 2017; 52.
  • 50. Nguyen, H. V., Tan, G. S. W., Tapp, R. J., Mital, S., Ting, D. S. W., Wong, H. T. et al.. Cost-effectiveness of a National Telemedicine Diabetic Retinopathy Screening Program in Singapore. Ophthalmology. 2016; 123(12), 2571–2580.
  • 51. Pasquel, F. J., Hendrick, A. M., Ryan, M., Cason, E., Ali, M. K., Narayan, K. M. V. Cost-effectiveness of Different Diabetic Retinopathy Screening Modalities. Journal of Diabetes Science and Technology. 2016; 10(2), 301–307.
  • 52. Rachapelle, S., Legood, R., Alavi, Y., Lindfield, R., Sharma, T., Kuper, H. et al.. The cost-utility of telemedicine to screen for diabetic retinopathy in india. Ophthalmology. 2013; 120(3), 566–573.
  • 53. Kirkizlar, E., Serban, N., Sisson, J. A., Swann, J. L., Barnes, C. S., Williams, M. D. Evaluation of telemedicine for screening of diabetic retinopathy in the veterans health administration. Ophthalmology. 2013; 120(12).
  • 54. Li, Z., Wu, C., Olayiwola, J. N., Hilaire, D. S., Huang, J. J. Telemedicine-based digital retinal imaging vs standard ophthalmologic evaluation for the assessment of diabetic retinopathy. Connecticut Medicine. 2012; 76(2), 85–90.
  • 55. Rein, D. B., Wittenborn, J. S., Zhang, X., Allaire, B. A., Song, M. S., Klein, R. et al.. The cost-effectiveness of three screening alternatives for people with diabetes with no or early diabetic retinopathy. Health Services Research. 2011; 46(5), 1534–1561.
  • 56. Aoki, N., Dunn, K., Fukui, T., Beck, J. R., Schull, W. J., Li, H. K. Cost-Effectiveness An.alysis of Telemedicine to Evaluate Diabetic Retinopathy in a Prison Population. Diabetes Care. 2004; 27(5), 1095–1101.
  • 57. Maberley, D., Walker, H., Koushik, A., Cruess, A. Screening for diabetic retinopathy in James Bay, Ontario: A cost-effectiveness analysis. CMAJ. Canadian Medical Association Journal. 2003; 168(2), 160–164.
  • 58. Bjørvig, S., Johansen, M. A., Fossen, K. An economic analysis of screening for diabetic retinopathy. Journal of Telemedicine and Telecare. 2002; 8(1), 32–35.
  • 59. Bornova İlçe Sağlık Müdürlüğü. Available from: https://bornovasm.ism.gov.tr/Haber.aspx?hyn=9919. Accessed: 17.07.2024.
  • 60. Diyabet cemiyeti. Available from: https://diyabetcemiyeti.org/diyabet-istatistikleri/IDFDiyabetAtlasi/turkiye-de-ve-bolge-ulkelerinde-diyabet-sorunu. Accessed: 17.07.2024.
  • 61. Sosyal Güvenlik Kurumu (SGK) Available from: https://www.sgk.gov.tr/Haber/Detay/Diyabet-Parlamentosu-SGKda-yapildi-2022-11-15-09-06-30. Accessed: 16.07.2024.
  • 62. Türkiye İstatistik Kurumu (TÜİK). Available from: https://data.tuik.gov.tr/Bulten/Index?p=Turkiye-Saglik-Arastirmasi-2022-49747&dil=1. Accessed: 16.07.2024.
  • 63. Sağlık İstatistikleri Yıllığı. Available from: https://www.saglik.gov.tr/TR,95109/saglik-istatistikleri-yilligi-2021-yayinlanmistir.html. Accessed: 16.09.2023.
  • 64. Taş, A., Zeki Bayraktar, M., Erdem, Ü., Sobacı, G., Uçar, M. Diyabetik hastalarda retinopati sıklığı ve risk faktörleri. Gülhane Tıp Dergisi. 2005; 47, 164–174.
  • 65. Resnikoff, S., Pascolini, D., Etya’ale, D., Kocur, I., Pararajasegaram, R., Pokharel, G. P. et al.. Global data on visual impairment in the year 2002. Bulletin of the World Health Organization. 2004; 82(11), 844–851.
  • 66. Uppamma, P., Bhattacharya, S. Diabetic retinopathy detection: A blockchain and African vulture optimization algorithm-based deep learning framework. Electronics. 2023; 12(3), 742.
  • 67. Jena, M., Mishra, D., Mishra, S. P., Mallick, P. K., Kumar, S. Exploring the parametric impact on a deep learning model and proposal of a 2-branch CNN for diabetic retinopathy classification with case study in IoT-Blockchain based smart healthcare system. Informatica. 2022; 46(2).
  • 68. Prasad, P. S., Beena Bethel, G. N., Singh, N., Kumar Gunjan, V., Basir, S., Miah, S. [Retracted] Blockchain‐Based Privacy Access Control Mechanism and Collaborative Analysis for Medical Images. Security and Communication Networks, 2022(1), 9579611.
Toplam 68 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sağlık Kurumları Yönetimi, Sağlık Hizmetleri ve Sistemleri (Diğer)
Bölüm Derleme
Yazarlar

Dilek Alay 0000-0002-3221-560X

Erken Görünüm Tarihi 25 Eylül 2024
Yayımlanma Tarihi 30 Eylül 2024
Gönderilme Tarihi 18 Temmuz 2024
Kabul Tarihi 5 Eylül 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 33 Sayı: 3

Kaynak Göster

AMA Alay D. Uzaktan Sağlık Hizmetlerinin Ekonomik Değerlendirmesinin Sistematik Analizi: Diyabetik Retinopati Örneği. aktd. Eylül 2024;33(3):172-185. doi:10.17827/aktd.1518583