Efficacy of telemedicine on glycaemic control in patients with type 2 diabetes: A meta-analysis
Open accessAbstract
BACKGROUND: remote communication and technology. It is a convenient and cost-effective method of intervention, which has shown to be successful in improving glyceamic control for type 2 diabetes patients. The utility of a successful diabetes intervention is vital to reduce disease complications, hospital admissions and associated economic costs. AIM: To evaluate the effects of telemedicine interventions on hemoglobin A1c (HbA1c), systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI), post-prandial glucose (PPG), fasting plasma glucose (FPG), weight, cholesterol, mental and physical quality of life (QoL) in patients with type 2 diabetes. The secondary aim of this study is to determine the effect of the following subgroups on HbA1c post-telemedicine intervention; telemedicine characteristics, patient characteristics and self-care outcomes. METHODS: for heterogeneity testing. The mean difference and standard deviation data were extracted for analysis. RESULTS: modes of videoconference or interactive telephone had the greatest effect on HbA1c reduction. In addition, interventions delivered at a less than weekly frequency, as well as those given for a duration of 6 mo, and those lead by allied health resulted in better HbA1c outcomes. Furthermore, interventions with a focus on biomedical parameters, as well as those with an engagement level > 70% and those with a drop-out rate of 10%-19.9% showed greatest HbA1c reduction. The patient characteristics investigation reported that Hispanic patients with T2DM had a greater HbA1c reduction post telemedicine intervention. For self-care outcomes, telemedicine interventions that resulted in higher post-intervention glucose monitoring and self-efficacy were shown to have better HbA1c reduction. CONCLUSION: a clinical treatment model and with a focus on biomedical parameters, delivered at a less than weekly frequency and 6 mo duration would have the largest effect on HbA1c reduction. This is in addition to being led by allied health, through modes such as video conference and interactive telephone, with an intervention engagement level > 70% and a drop-out rate between 10%-19.9%. Due to the high heterogeneity of included studies and limitations, further studies with a larger sample size is needed to confirm our findings.
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Three reviews reported that video conferencing was effective in improving HbA1c levels over periods ranging from 3 to 12 months.
“Three reviews [32, 34, 44] reported that video conferencing was effective in improving HbA1c levels over periods ranging from 3–12 months.”
From Effect of virtual care in type 2 diabetes management – a systematic umbrella review of systematic reviews and meta-analysis (2025) · cites this paper as [44]
The Results (page unavailable) report a significant HbA1c reduction for videoconference interventions. The paper analyzes intervention duration separately, however, and does not establish that the videoconference finding applies specifically across 3–12 months; its Data extraction table includes a five-year intervention with videoconferencing. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThree reviews reported that telemonitoring combined with tele-education and telemonitoring combined with healthcare professional feedback had greater effects.
“Of those, 3 reviews reported telemonitoring combined with tele-education [44] and telemonitoring combined with healthcare professional feedback [45, 48] had greater effects.”
From Effect of virtual care in type 2 diabetes management – a systematic umbrella review of systematic reviews and meta-analysis (2025) · cites this paper as [44]
The Results (page not available) report that telemonitoring reduced HbA1c and that interventions led by healthcare professionals differed in effect. The Data extraction table also includes telemonitoring studies with professional feedback. But the paper does not report that adding professional feedback to telemonitoring produced greater effects than telemonitoring without it; its subgroup analysis instead reports a greater HbA1c reduction for telemonitoring alone than for telemonitoring combined with tele-education. (LLM, conf=0.82)
Experimental — accuracy not yet measuredOnly one study included in the BMI meta-analysis reported the BMI measure for type 2 diabetes, and all other three reviews included combined results for mixed type of diabetes.
“Only one study [44] included in this analysis reported the BMI measure for type 2 diabetes and all other three reviews included combined results for mixed type of diabetes.”
From Effect of virtual care in type 2 diabetes management – a systematic umbrella review of systematic reviews and meta-analysis (2025) · cites this paper as [44]
All seven reviews reported a reduction in blood pressure with virtual care.
“all 7 reviews [22, 27, 32, 35, 37, 44, 46] reported reduction in blood pressure.”
From Effect of virtual care in type 2 diabetes management – a systematic umbrella review of systematic reviews and meta-analysis (2025) · cites this paper as [44]
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Cites
Global aetiology and epidemiology of type 2 diabetes mellitus and its complications
Zheng, Y., Ley, S. H., & Hu, F. B. (2018) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2017.151 · Cited by 5,697 · see citing works
Multifactorial intervention and cardiovascular disease in patients with type 2 diabetes
Gæde, P., Vedel, P., Larsen, N., Jensen, G. V. H., Parving, H.-H., & Pedersen, O. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa021778 · Cited by 4,378 · see citing works
Nathan, D. M., Buse, J. B., Davidson, M. B., Ferrannini, E., Holman, R. R., Sherwin, R., & Zinman, B. (2009) · Diabetes Care · doi:10.2337/dc08-9025 · Cited by 3,834 · see citing works
The worldwide epidemiology of type 2 diabetes mellitus—present and future perspectives
Chen, L., Magliano, D. J., & Zimmet, P. Z. (2012) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2011.183 · Cited by 2,227 · see citing works
Vinik, A. I., Maser, R. E., Mitchell, B. D., & Freeman, R. (2003) · Diabetes Care · doi:10.2337/diacare.26.5.1553 · Cited by 2,044 · see citing works
Role of self-care in management of diabetes mellitus
Shrivastava, S. R., Shrivastava, P. S., & Ramasamy, J. (2013) · Journal of Diabetes & Metabolic Disorders · doi:10.1186/2251-6581-12-14 · Cited by 1,102 · see citing works
Type 2 diabetes across generations: from pathophysiology to prevention and management
Nolan, C. J., Damm, P., & Prentki, M. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60614-4 · Cited by 923 · see citing works
The Economic Costs of Type 2 Diabetes: A Global Systematic Review
Seuring, T., Archangelidi, O., & Suhrcke, M. (2015) · PharmacoEconomics · doi:10.1007/s40273-015-0268-9 · Cited by 840 · see citing works
The global economic burden of diabetes in adults aged 20–79 years: a cost-of-illness study
Bommer, C., Heesemann, E., Sagalova, V., Manne‐Goehler, J., Atun, R. A., Bärnighausen, T., & Vollmer, S. (2017) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(17)30097-9 · Cited by 824 · see citing works
Cognitive Dysfunction and Diabetes Mellitus
Kodl, C. T., & Seaquist, E. R. (2008) · Endocrine Reviews · doi:10.1210/er.2007-0034 · Cited by 823 · see citing works
Polonsky, W., & Henry, R. (2016) · Patient Preference and Adherence · doi:10.2147/ppa.s106821 · Cited by 784 · see citing works
Whitehead, L., & Seaton, P. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4883 · Cited by 743 · see citing works
Franz, M. J., Boucher, J. L., Rutten-Ramos, S., & VanWormer, J. J. (2015) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2015.02.031 · Cited by 672 · see citing works
Type 2 diabetes mellitus, cognitive impairment and dementia
Stewart, R., & Liolitsa, D. (1999) · Diabetic Medicine · doi:10.1046/j.1464-5491.1999.00027.x · Cited by 562 · see citing works
Elevated Risk of Cardiovascular Disease Prior to Clinical Diagnosis of Type 2 Diabetes
Hu, F. B., Stampfer, M. J., Haffner, S. M., Solomon, C. G., Willett, W. C., & Manson, J. E. (2002) · Diabetes Care · doi:10.2337/diacare.25.7.1129 · Cited by 552 · see citing works
Hanlon, P., Daines, L., Campbell, C., McKinstry, B., Weller, D., & Pinnock, H. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6688 · Cited by 499 · see citing works
Targeting hepatic glucose metabolism in the treatment of type 2 diabetes
Rines, A. K., Sharabi, K., Tavares, C. D. J., & Puigserver, P. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.151 · Cited by 380 · see citing works
Shea, S., Weinstock, R. S., Teresi, J. A., Palmas, W., Starren, J. B., Cimino, J. J., Lai, A. M., Field, L., Morin, P. C., Goland, R., et al. (2009) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m3157 · Cited by 375 · see citing works
Cradock, K. A., ÓLaighin, G., Finucane, F. M., Gainforth, H. L., Quinlan, L. R., & Ginis, K. A. M. (2017) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-016-0436-0 · Cited by 343 · see citing works
The reported benefits of telehealth for rural Australians.
Moffatt, J., & Eley, D. (2010) · Australian Health Review · doi:10.1071/ah09794 · Cited by 335 · see citing works
Schwann cell interactions with axons and microvessels in diabetic neuropathy
Gonçalves, N. P., Vægter, C. B., Andersen, H., Østergaard, L., Calcutt, N. A., & Jensen, T. S. (2017) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.201 · Cited by 311 · see citing works
Wang, Y., Xue, H., Huang, Y., Huang, L., & Zhang, D. (2017) · Advances in Nutrition · doi:10.3945/an.116.014100 · Cited by 310 · see citing works
Holmen, H., Torbjørnsen, A., Wahl, A. K., Jenum, A. K., Småstuen, M. C., Årsand, E., & Ribu, L. (2014) · JMIR mHealth and uHealth · doi:10.2196/mhealth.3882 · Cited by 294 · see citing works
Arora, S., Peters, A. L., Burner, E., Lam, C. N., & Menchine, M. (2014) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2013.10.012 · Cited by 273 · see citing works
Gao, J., Wang, J., Zheng, P., Haardörfer, R., Kegler, M. C., Zhu, Y., & Fu, H. (2013) · BMC Family Practice · doi:10.1186/1471-2296-14-66 · Cited by 257 · see citing works
Tang, P. C., Overhage, J. M., Chan, A. S., Brown, N. L., Aghighi, B., Entwistle, M., Hui, S. L., Hyde, S., Klieman, L., Mitchell, C. J., et al. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001263 · Cited by 240 · see citing works
Tchero, H., Kangambega, P., Briatte, C., Brunet-Houdard, S., Retali, G.-R., & Rusch, E. (2019) · Telemedicine and e-Health · doi:10.1089/tmj.2018.0128 · Cited by 239 · see citing works
Telemedicine Application in the Care of Diabetes Patients: Systematic Review and Meta-Analysis
Marcolino, M. S., Maia, J. X., Alkmim, M. B. M., Boersma, E., & Ribeiro, A. L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079246 · Cited by 215 · see citing works
Guideline for management of postmeal glucose
Ceriello, A., Colagiuri, S., Gerich, J. E., & Tuomilehto, J. O. (2008) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2008.01.012 · Cited by 208 · see citing works
A history of continuous glucose monitors (CGMs) in self-monitoring of diabetes mellitus
Olczuk, D., & Priefer, R. (2017) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2017.09.005 · Cited by 194 · see citing works
Wayne, N., Perez, D. F., Kaplan, D. M., & Ritvo, P. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4871 · Cited by 192 · see citing works
Diagnosis, access and outcomes: Update of a systematic review of telemedicine services
Hersh, W., Hickam, D. H., Severance, S. M., Dana, T. L., Krages, K. P., & Helfand, M. (2006) · Journal of Telemedicine and Telecare · doi:10.1258/135763306778393117 · Cited by 188 · see citing works
Active Care Management Supported by Home Telemonitoring in Veterans With Type 2 Diabetes
Stone, R. A., Rao, R. H., Sevick, M. A., Cheng, C., Hough, L. J., Macpherson, D. S., Franko, C. M., Anglin, R. A., Obrosky, D. S., & DeRubertis, F. R. (2009) · Diabetes Care · doi:10.2337/dc09-1012 · Cited by 184 · see citing works
A nurse short message service by cellular phone in type‐2 diabetic patients for six months
Kim, H., & Jeong, H. (2007) · Journal of Clinical Nursing · doi:10.1111/j.1365-2702.2007.01698.x · Cited by 180 · see citing works
Effectiveness of mobile and internet intervention in patients with obese type 2 diabetes
Kim, S.-I., & Kim, H.-S. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2007.07.006 · Cited by 180 · see citing works
Fortmann, A. L., Gallo, L. C., Garcia, M. I., Taleb, M., Euyoque, J. A., Clark, T., Skidmore, J., Ruiz, M., Dharkar-Surber, S., Schultz, J., et al. (2017) · Diabetes Care · doi:10.2337/dc17-0230 · Cited by 169 · see citing works
Lee, P. A., Greenfield, G., & Pappas, Y. (2018) · BMC Health Services Research · doi:10.1186/s12913-018-3274-8 · Cited by 162 · see citing works
Menzin, J., Korn, J. R., Cohen, J., Lobo, F., Zhang, B., Friedman, M., & Newmann, P. (2010) · Journal of Managed Care Pharmacy · doi:10.18553/jmcp.2010.16.4.264 · Cited by 162 · see citing works
Kempf, K., Altpeter, B., Berger, J., Reuß, O., Fuchs, M., Schneider, M., Gärtner, B., Niedermeier, K., & Martin, S. (2017) · Diabetes Care · doi:10.2337/dc17-0303 · Cited by 160 · see citing works
Saisho, Y. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15050947 · Cited by 153 · see citing works
Breaking down patient and physician barriers to optimize glycemic control in type 2 diabetes.
Ross, S. (2013) · American Journal of Medicine · doi:10.1016/j.amjmed.2013.06.012 · Cited by 149 · see citing works
Telehealth for diabetes self-management in primary healthcare: A systematic review and meta-analysis
So, C. F., & Chung, J. W. (2018) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x17700552 · Cited by 138 · see citing works
Developmental Evolution of Expertise in Diabetes Self-Management
Paterson, B. L., & Thorne, S. E. (2000) · Clinical Nursing Research · doi:10.1177/10547730022158663 · Cited by 134 · see citing works
Lim, S. K., Kang, S. M., Kim, K. M., Moon, J. H., Choi, S. H., Hwang, H. Y., Jung, H. S., Park, K. S., Ryu, J. O., & Jang, H. C. (2015) · Acta Diabetologica · doi:10.1007/s00592-015-0754-8 · Cited by 126 · see citing works
Sun, C., Sun, L., Xi, S., Zhang, H., Wang, H., Feng, Y., Deng, Y., Wang, H., Xiao, X., Wang, G., et al. (2019) · JMIR mHealth and uHealth · doi:10.2196/10664 · Cited by 124 · see citing works
Orsama, A.-L., Lähteenmäki, J., Harno, K., Kulju, M., Wintergerst, E., Schachner, H., Stenger, P., Leppänen, J., Kaijanranta, H., Salaspuro, V., et al. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0056 · Cited by 117 · see citing works
Kleinman, N. J., Shah, A., Shah, S., Phatak, S., & Viswanathan, V. (2017) · Telemedicine and e-Health · doi:10.1089/tmj.2016.0265 · Cited by 116 · see citing works
Wild, S. H., Hanley, J., Lewis, S. C., McKnight, J. A., McCloughan, L. B., Padfield, P. L., Parker, R. A., Paterson, M., Pinnock, H., Sheikh, A., et al. (2016) · PLoS Medicine · doi:10.1371/journal.pmed.1002098 · Cited by 111 · see citing works
Greenwood, D. A., Young, H. M., & Quinn, C. C. (2014) · Journal of Diabetes Science and Technology · doi:10.1177/1932296813519311 · Cited by 96 · see citing works
Yang, X., Li, Z., & Sun, J. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00711 · Cited by 95 · see citing works
Self-citationWilliams, E. D., Bird, D., Forbes, A. W., Russell, A., Ash, S., Friedman, R., Scuffham, P. A., & Oldenburg, B. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-602 · Cited by 87 · see citing works
Wu, C., Wu, Z., Yang, L., Zhu, W., Zhang, M., Zhu, Q., Chen, X., & Pan, Y. (2018) · Medicine · doi:10.1097/md.0000000000012962 · Cited by 86 · see citing works
Norberg, M., Eriksson, J. W., Lindahl, B., ANDERSSON, C., Rolandsson, O., Stenlund, H. C., & Weinehall, L. (2006) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2006.01689.x · Cited by 86 · see citing works
Bujnowska–Fedak, M. M., Puchała, E., & Steciwko, A. (2011) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2010.0113 · Cited by 84 · see citing works
Zhu, H., Zhu, Y., & Leung, S.-W. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-010524 · Cited by 84 · see citing works
Telemedicine Influence on the Follow-Up of Type 2 Diabetes Patients
Rodriguez-Idigoras, M. I., Muñoz, J. S., Sánchez-Garrido-Escudero, R., Martinez-Gonzalez, J. L., Castellón, J. L. E., Paniagua-Gómez, I. M., Bernal-López, M. R., Fuentes-Simón, M. V., & Garófano-Serrano, D. (2009) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2008.0114 · Cited by 79 · see citing works
Lee, J. Y., Chan, C. K. Y., Chua, S. S., Ng, C. J., Paraidathathu, T., Lee, K. K. C., & Lee, S. W. H. (2020) · Journal of General Internal Medicine · doi:10.1007/s11606-019-05316-9 · Cited by 79 · see citing works
Psychological distress, self-efficacy and glycemic control in type 2 diabetes
Indelicato, L., Dauriz, M., Santi, L., Bonora, F., Negri, C., Cacciatori, V., Targher, G., Trento, M., & Bonora, E. (2017) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2017.01.006 · Cited by 77 · see citing works
Or, C. K., Liu, K., So, M. K. P., Cheung, B. M. Y., Yam, L. Y.-C., Tiwari, A., Lau, Y. F. E., Lau, T., Hui, P. S. G., Cheng, H. C., et al. (2020) · Journal of Medical Internet Research · doi:10.2196/16769 · Cited by 77 · see citing works
Welch, G. W., Allen, N. A., Zagarins, S., Stamp, K. D., Bursell, S., & Kedziora, R. J. (2011) · The Science of Diabetes Self-Management and Care · doi:10.1177/0145721711416257 · Cited by 75 · see citing works
Cassimatis, M., & Kavanagh, D. J. (2012) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2012.gth105 · Cited by 73 · see citing works
Wang, J., Cai, C. C., Padhye, N. S., Orlander, P. R., & Zare, M. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.4478 · Cited by 72 · see citing works
Nicolucci, A., Cercone, S., Chiriatti, A., Muscas, F., Gensini, G., & on behalf of the REMOTE Study Group (2015) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.0355 · Cited by 69 · see citing works
Ramadas, A., Chan, C. K. Y., Oldenburg, B., Hussein, Z., & Quek, K. F. (2018) · BMC Public Health · doi:10.1186/s12889-018-5640-1 · Cited by 69 · see citing works
Crowley, M. J., Edelman, D. E., McAndrew, A. T., Kistler, S. C., Danus, S. M., Webb, J. A., Zanga, J. R., Sanders, L. L., Coffman, C. J., Jackson, G. L., et al. (2015) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2015.0145 · Cited by 66 · see citing works
Telemedicine in the Management of Type 2 Diabetes Mellitus
Wang, G., Zhang, Z., Feng, Y., Sun, L., Xiao, X., Wang, G., Gao, Y., Wang, H., Zhang, H., Deng, Y., et al. (2016) · The American Journal of the Medical Sciences · doi:10.1016/j.amjms.2016.10.008 · Cited by 64 · see citing works
Jeong, J. Y., Jeon, J.-H., Bae, K.-H., Choi, Y.-K., Park, K.-G., Kim, J.-G., Won, K. C., Cha, B. S., Ahn, C. W., Kim, D. W., et al. (2018) · Telemedicine and e-Health · doi:10.1089/tmj.2017.0203 · Cited by 63 · see citing works
Luley, C. H., Blaik, A., Reschke, K., Klose, S., & Westphal, S. (2010) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2010.11.020 · Cited by 62 · see citing works
Mobile Diabetes Intervention for Glycemic Control in 45- to 64-Year-Old Persons With Type 2 Diabetes
Quinn, C. C., Shardell, M. D., Terrin, M. L., Barr, E. A., Park, D., Shaikh, F., Guralnik, J. M., & Gruber‐Baldini, A. L. (2014) · Journal of Applied Gerontology · doi:10.1177/0733464814542611 · Cited by 61 · see citing works
Kim, E. K., Kwak, S. H., Jung, H. S., Koo, B. K., Moon, M. K., Lim, S., Jang, H. C., Park, K. S., & Cho, Y. M. (2019) · Diabetes Care · doi:10.2337/dc17-2197 · Cited by 61 · see citing works
Current challenges in diabetes management
Blonde, L. (2005) · Clinical cornerstone · doi:10.1016/s1098-3597(05)80084-5 · Cited by 50 · see citing works
Al-Sahouri, A., Merrell, J. A., & Snelgrove, S. R. (2019) · Patient Preference and Adherence · doi:10.2147/ppa.s198828 · Cited by 49 · see citing works
Management of diabetes complications in youth
Graves, L. E., & Donaghue, K. C. (2019) · Therapeutic Advances in Endocrinology and Metabolism · doi:10.1177/2042018819863226 · Cited by 48 · see citing works
SMS senkt Glucose-Wert bei Diabetes-Typ-2
(2017) · DMW - Deutsche Medizinische Wochenschrift · doi:10.1055/s-0043-110904 · Cited by 46 · see citing works
Cho, J. H., Kim, H.-S., Yoo, S. H., Jung, C. H., Lee, W. J., Park, C. Y., Yang, H. K., Park, J. Y., Park, S. W., & Yoon, K. H. (2017) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x16657500 · Cited by 45 · see citing works
Telemedicine via satellite to support offshore oil platforms
Mair, F., Fraser, S., Ferguson, J., & Webster, K. (2008) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2008.003008 · Cited by 45 · see citing works
Kim, H., Sun, C., Yang, S. J., Sun, L., Li, F., Choi, I. Y., Cho, J., Wang, G., & Yoon, K. (2016) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2015.0170 · Cited by 42 · see citing works
Vinitha, R., Nanditha, A., Snehalatha, C., Satheesh, K., Susairaj, P., Raghavan, A., & Ramachandran, A. (2019) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2019.107919 · Cited by 39 · see citing works
Telemonitoring of Type 2 Diabetes Mellitus in Italy
Dario, C., Toffanin, R., Calcaterra, F., Saccavini, C., Stafylas, P. C., Mancin, S., & Vio, E. (2016) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2015.0224 · Cited by 39 · see citing works
Improving adherence to medication in adults with diabetes in the United Arab Emirates
Mohd, M. M. M. A.-H., Phung, H. N., Sun, J., & Morisky, D. E. (2016) · BMC Public Health · doi:10.1186/s12889-016-3492-0 · Cited by 39 · see citing works
Self-citationHoltz, B., LaPlante, C. K., & Whitten, P. (2010) · Applied Clinical Informatics · doi:10.4338/aci-2009-12-r-0020 · Cited by 38 · see citing works
Successful Delivery of Diabetes Self-Care Education and Follow-Up through eHealth Media
Pacaud, D., Kelley, H. M., Downey, A. M., & Chiasson, M. W. (2012) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2012.08.006 · Cited by 38 · see citing works
Liou, J.-K., Soon, M., Chen, C., Huang, T.-F., Chen, Y., Yeh, Y., Chang, C.-J., Kuo, S., & Hsieh, M. (2013) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2013.0037 · Cited by 37 · see citing works
Kim, Y., Park, J.-E., Lee, B., Jung, C. H., & Park, D. A. (2018) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x18782599 · Cited by 35 · see citing works
Pressman, A. R., Kinoshita, L., Kirk, S., Barbosa, G. M., Chou, C., & Minkoff, J. R. (2014) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2013.0157 · Cited by 34 · see citing works
Fountoulakis, S., Papanastasiou, L., Gryparis, A., Markou, Α., & Piaditis, G. P. (2015) · HORMONES · doi:10.14310/horm.2002.1603 · Cited by 31 · see citing works
Telemedicine for intensive support of psychiatric inpatients admitted to local hospitals
D’Souza, R. F. (2000) · Journal of Telemedicine and Telecare · doi:10.1258/1357633001934834 · Cited by 30 · see citing works
Pan, X., Wang, H., Hong, X., Zheng, C., Wan, Y., Buys, N. J., Zhang, Y., & Sun, J. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00719 · Cited by 29 · see citing works
Self-citationXu, R., Xing, M. J., Javaherian, K., Peters, R. M., Ross, W. R., & Bernal‐Mizrachi, C. (2019) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2019.0035 · Cited by 27 · see citing works
Whittemore, R., Vilar‐Compte, M., Cerda, S. D. L., Delvy, R., Jeon, S., Burrola‐Méndez, S., Pardo-Carrillo, M., Lozano-Marrufo, A., & Pérez‐Escamilla, R. (2020) · Current Developments in Nutrition · doi:10.1093/cdn/nzaa074 · Cited by 22 · see citing works
Alanzi, T. M., Alanazi, N. R., Istepanian, R. S. H., & Philip, N. Y. (2018) · mHealth · doi:10.21037/mhealth.2018.06.05 · Cited by 19 · see citing works
How Continuous Monitoring Changes the Interaction of Patients with a Mobile Telemedicine System
Martínez-Sarriegui, I., García-Sáez, G., Rigla, M., Brugués, E., de Leiva, A., Aguilera, E. J. G., & Hernando, M. E. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500102 · Cited by 18 · see citing works
Fritzen, K., Basinska, K., Rubio-Almanza, M., Nicolucci, A., Kennon, B., Vergès, B. L., Zakrzewska, K. E., & Schnell, O. (2019) · Journal of Diabetes Science and Technology · doi:10.1177/1932296819835172 · Cited by 17 · see citing works
Nicolucci, A., Cercone, S., Chiriatti, A., Muscas, F., & Gensini, G. (2014) · Nederlands Tijdschrift voor Diabetologie · doi:10.1007/s12467-014-0049-7 · Cited by 15 · see citing works
Okamoto, R., Kumagai, E., Kai, H., Shibata, R., Ohtsubo, T., Kawano, H., Fujiwara, A., Ito, M., Fukumoto, Y., & Arima, H. (2019) · Hypertension Research · doi:10.1038/s41440-018-0189-z · Cited by 13 · see citing works
No place like home: telemonitoring can improve home care.
Averwater, N. W., & Burchfield, D. C. (2005) · PubMed · Cited by 9 · see citing works
Teledermatology in Underserved Populations
Wong, C. Y., & Colven, R. M. (2019) · Current Dermatology Reports · doi:10.1007/s13671-019-0260-2 · Cited by 5 · see citing works
Dafoulas, G. E., Mavrodi, A. G., Bargiota, Α., Giannakakos, H., Stafylas, P. C., Gkiata, P., Pechlivangolou, P., Theodorou, K., Koukoulis, G., & Aletras, V. H. (2014) · International Journal of Integrated Care · doi:10.5334/ijic.1767 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [78]Yip MP Effectiveness of a nurse coordinated system of telemedicine care for patients with type 2 diabetes mellitus. Ph.D Thesis, Ann Arbor: The Chinese University of Hong Kong (Hong Kong). 2002
Cited by
Sorted by citations
Doubova, S. V., Leslie, H. H., Kruk, M. E., Pérez‐Cuevas, R., & Arsenault, C. (2021) · BMJ Global Health · doi:10.1136/bmjgh-2021-006204 · Cited by 279 · see citing works
“58 However, the majority of studies on the effectiveness of telehealth were performed in high-income settings.”
BackgroundAzmiardi, A., Murti, B., Febrinasari, R. P., & Tamtomo, D. G. (2021) · Epidemiology and Health · doi:10.4178/epih.e2021090 · Cited by 80 · see citing works
“This outcome is consistent with those of prior meta-analyses suggesting that a higher frequency of contact or intensity effectively improved glycemic control [42,47].”
Comparison of Telephone and Video Telehealth Consultations: Systematic Review
(2023) · doi:10.2196/49942 · Cited by 57 · see citing works
“…demonstrated that telephone and video telehealth consultations by themselves can be equally safe and effective compared to face-to-face delivery with regard to acceptability, effectiveness, and safety outcomes for a wide variety of conditions such as diabetes [32,33] and mental health [5,34,35].”
Zhang, A., Wang, J., Wan, X., Zhang, Z., Zhao, S., Guo, Z., & Wang, C. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19074173 · Cited by 50 · see citing works
Evidence and User Considerations of Home Health Monitoring for Older Adults: Scoping Review
Chan, A., Cohen, R., Robinson, K.-M., Bhardwaj, D., Gregson, G., Jutai, J. W., Millar, J., Rincon, A. M. R., & Fekr, A. R. (2022) · JMIR Aging · doi:10.2196/40079 · Cited by 40 · see citing works
Telemedicine for diabetes management during COVID-19: what we have learnt, what and how to implement
Rosta, L., Menyhárt, A., Almahmeed, W. A., Al‐Rasadi, K., Al-Alawi, K., Banach, M., Banerjee, Y., Ceriello, A., Cesur, M., Cosentino, F., et al. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1129793 · Cited by 37 · see citing works
Zupa, M. F., Vimalananda, V. G., Rothenberger, S. D., Lin, J. Y., Ng, J. M., McCoy, R. G., & Rosland, A.-M. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.46305 · Cited by 27 · see citing works
Batalha, A. P. D. B., Ponciano, I. C., Chaves, G., Felício, D. C., Britto, R. R., & da Silva, L. P. (2021) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-021-00846-8 · Cited by 23 · see citing works
“The interventions were mostly delivered by healthcare workers or trained staff and face-to-face, reinforcing a need to focus on telehealth and remote technologies as a complementary or alternative way to support people with diabetes and improve their participation in behavior change programs [60].”
BackgroundChristensen, J. R., Hesseldal, L., Olesen, T. B., Olsen, M. H., Jakobsen, P. R., Laursen, D. H., Lauridsen, J. T., Nielsen, J. B., Søndergaard, J., & Brandt, C. J. (2022) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x221123411 · Cited by 22 · see citing works
Digital tools in allergy and respiratory care
Verhoeven, E. W. M., Rouadi, P. W., Abou-Jaoude, E. A., Abouzakouk, M., Ansotegui, I. J., Al-Ahmad, M. S., Al‐Nesf, M. A., Azar, C. R., Bahna, S. L., Cuervo‐Pardo, L., et al. (2022) · World Allergy Organization Journal · doi:10.1016/j.waojou.2022.100661 · Cited by 20 · see citing works
“The use of high-quality e-health tools has the final aim to result in better disease control and hence quality of life as proven in other noncommunicable conditions such as diabetes and cardiovascular disease.(5,6,9,46) In the fields of allergy and respiratory care, meeting the 16 quality criteria could help in achiev…”
Ravi, S., Meyerowitz-Katz, G., Yung, C., Ayre, J., McCaffery, K., Maberly, G., & Bonner, C. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-12496-0 · Cited by 19 · see citing works
Avaliação do programa comportamental em diabetes mellitus tipo 2: ensaio clínico randomizado
Nunes, L. B., dos Santos, J. C., Reis, I. A., & Torres, H. D. C. (2023) · Ciência & Saúde Coletiva · doi:10.1590/1413-81232023283.10102022 · Cited by 18 · see citing works
“A intervenção telefônica contempla o uso das tecnologias avançadas e inovadoras a fim de monitorar e gerenciar pessoas com DM2 a dis-tância e com frequência necessária, o que pode melhorar a adesão ao autocuidado e hemoglobi-na glicada (HbA1C) 4,11,12 .”
BackgroundChiaranai, C., Chularee, S., Saokaew, S., Tungpunkom, P., Umnuaypornlert, A., Chaomuang, N., Doommai, N., & Nimkuntod, P. (2023) · International Journal of Nursing Studies Advances · doi:10.1016/j.ijnsa.2023.100169 · Cited by 18 · see citing works
“Telehealth interventions have been shown to improve health outcomes for patients with chronic diseases, including diabetes mellitus (Kuan et al., 2022b; De Groot et al., 2021; Saragih et al., 2022; Chiaranai et al., 2023).”
BackgroundDigitalizing Public Services: Opportunities for Latin America and the Caribbean
Cristia, J., & Vlaicu, R. (2022) · doi:10.18235/0004543 · Cited by 21 · see citing works
Prioritizing the primary prevention of heart failure: Measuring, modifying and monitoring risk
Patel, R. N., Peesay, T., Krishnan, V., Wilcox, J. E., Wilsbacher, L. D., & Khan, S. S. (2024) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2024.01.001 · Cited by 15 · see citing works
Telemedicine for the management of diabetic patients in a high-complexity Latin American hospital
Casas, L. Á., Alarcón, J., Urbano, A., Peña-Zárate, E. E., Sangiovanni, S., Libreros‐Peña, L., & Escobar, M. F. (2023) · BMC Health Services Research · doi:10.1186/s12913-023-09267-0 · Cited by 14 · see citing works
“Other studies even show that telemedicine interventions are more effective in reducing HbA1c in patients with type 2 DM, mainly when videoconferencing is used, with a frequency of intervention less than weekly and at least 6 months in duration [24, 25].”
BackgroundDifferences in diabetes control in telemedicine vs. in-person only visits in ambulatory care setting
Kubes, J., Jones, L., Hassan, S., Franks, N. M., Wiley, Z., & Kulshreshtha, A. (2022) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2022.102009 · Cited by 14 · see citing works
Gürçay, B., Yılmaz, F. T., & Bilgin, A. (2023) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2023.0088 · Cited by 14 · see citing works
“4 This study results demonstrated that telehealth interventions can be used to increase treatment adherence in patients with type 2 diabetes.”
Dessapt-Baradez, C., Liška, J., Brulle-Wohlhueter, C., Pushkarna, D., Baxter, M., & Piette, J. D. (2022) · Diabetes Therapy · doi:10.1007/s13300-022-01244-w · Cited by 13 · see citing works
Tourkmani, A. M., Alharbi, T., Rsheed, A. M. B., Alotaibi, A., Aleissa, M. S., Alotaibi, S. R., Almutairi, A. S., Thomson, J., Alshahrani, A. S., Alroyli, H. S., et al. (2024) · Telemedicine Reports · doi:10.1089/tmr.2024.0003 · Cited by 14 · see citing works
Orozco‐Beltrán, D., Morales, C., Artola‐Menéndez, S., Brotons, C., Carrascosa, S., González, C., Baró, O., Verdugo, A. A., de Campos, K. F., Villarejo, M., et al. (2022) · JMIR Diabetes · doi:10.2196/40377 · Cited by 15 · see citing works
“Additionally, meta-analyses of randomized controlled trials on telemedicine interventions have confirmed significant improvements in the management of diabetes compared with standard care [44,45].”
BackgroundResultInfluentialFarooqi, M. H., Abdelmannan, D. K., AlBuflasa, M., Hamed, M. A. A., Xavier, M., Cadiz, T. J. S., & Nawaz, F. A. (2022) · International Journal of Clinical Practice · doi:10.1155/2022/6286574 · Cited by 10 · see citing works
“*e cumulative body of evidence highlights that the application of telemedicine results in committed patients, which may improve glycemic control and reduce the need for hospital admissions [16].”
Raghavan, A., Nanditha, A., Satheesh, K., Susairaj, P., Vinitha, R., Nair, D. R., Jeyaraj, S., SHARAD, V., & Ramachandran, A. (2022) · Primary care diabetes · doi:10.1016/j.pcd.2022.10.008 · Cited by 10 · see citing works
Zupa, M. F., Alexopoulos, A., Esteve, L., & Rosland, A.-M. M. (2023) · Journal of the Endocrine Society · doi:10.1210/jendso/bvad039 · Cited by 10 · see citing works
“Diabetes care delivered via telemedicine has had positive impacts on glycemic and other clinical outcomes, both in trial [8-11] and in nontrial [12-14] settings.”
BackgroundUdupa, H., Viswanath, A., Shenoy, P. U., Antao, K. J., & Das, R. (2023) · Cureus · doi:10.7759/cureus.43098 · Cited by 10 · see citing works
“A recent study has found that telehealth was associated with improved medication adherence and glycemic control in patients with diabetes [10].”
BackgroundKempf, K., Dubois, C., Arnold, M., Amelung, V. E., Leppert, N., Altin, S. V., Vomhof, M., Icks, A., & Martin, S. (2023) · Nutrients · doi:10.3390/nu15183954 · Cited by 11 · see citing works
Hong, Y., Xie, Z., Nguyen, O. T., Turner, K. L., & Walker, A. F. (2024) · BMJ Open · doi:10.1136/bmjopen-2024-086418 · Cited by 9 · see citing works
Almalki, Z. S., Imam, M. T., Ahmed, N. J., Ghanem, R. K., S.Alanazi, T., Juweria, S., Alanazi, T. S., Alqadhibi, R. B., Alsaleh, S., Hasino, F. H., et al. (2023) · Saudi Pharmaceutical Journal · doi:10.1016/j.jsps.2023.101920 · Cited by 8 · see citing works
“…using telemedicine to help people with DM has a positive effect on their health, which is in line with what other studies have found (AlMutairi et al., 2021; De Groot et al., 2021; Su et al., 2016; Zhang et al., 2022; Lee et al., 2019; Santos et al., 2022; Aberer et al., 2021; Rosta et al., 2023).”
BackgroundMethodResultA review of the effectiveness of telemedicine in glycemic control in diabetes mellitus patients
Kusuma, C. F., Aristawidya, L., Susanti, C. P., & Kautsar, A. P. (2022) · Medicine · doi:10.1097/md.0000000000032028 · Cited by 8 · see citing works
Ward, L. A., Shah, G. H., Jones, J. A., Kimsey, L. G., & Samawi, H. M. (2023) · Informatics · doi:10.3390/informatics10010016 · Cited by 9 · see citing works
Patel, R., Huang, J., Hsueh, L., Gopalan, A., Millman, A. K., Franklin, I., & Reed, M. E. (2025) · Journal of Diabetes · doi:10.1111/1753-0407.70096 · Cited by 8 · see citing works
“…neighborhood socioeconomic status, neighborhood internet access, English language preference), technology access factors (history of mobile access to a patient portal, history of a video visit during the baseline period, family member proxy access to the patient's online portal), patient clinical”
Ory, M. G., Han, G., Nsobundu, C., Carpenter, K., Towne, S. D., & Smith, M. L. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1543298 · Cited by 9 · see citing works
Luo, J., Tao, Y., Xu, Y., Yang, L., Zhang, H., Chen, Y., Liu, X., Zhang, Y., Lan, R., Chen, Y., et al. (2023) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2023.108518 · Cited by 8 · see citing works
Twenty-first century management of diabetes with shared telemedicine appointments
Klonoff, D. C., Yeung, A. M., Huang, J. K., Espinoza, J., Raymond, J. K., Lee, W.-A., Koliwad, S. K., & Kerr, D. E. (2023) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x231184503 · Cited by 7 · see citing works
Aldakhil, R., Greenfield, G., Lammila-Escalera, E., Laranjo, L., Hayhoe, B., Majeed, A., & Neves, A. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968251316585 · Cited by 5 · see citing works
“The consistent control of HbA1c levels through VC mirrors the results of prior studies, 18,54,55 which have also reported equivalent or superior outcomes compared with traditional care.”
Online conferencing platforms as operational tools by health professionals: A pilot study
Papadopoulou, E., Parlapani, E., & Αρμακόλας, Σ. Ι. (2022) · Advances in Mobile Learning Educational Research · doi:10.25082/amler.2022.01.006 · Cited by 6 · see citing works
“Regarding patients better quality of life (De Groot et al., 2021) is mentioned.”
BackgroundTelehealth-Delivered Allied Health Interventions: A Rapid Umbrella Review of Systematic Reviews
Barrett, S., Howlett, O., Lal, N., & McKinstry, C. (2024) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2023.0546 · Cited by 4 · see citing works
“21 Telehealth interventions had a significant effect on lowering HbA1c in comparison to the controls.”
Erbakan, A. N., Bahadır, M. A., Kaya, F. N., Güleç, B., Keskinler, M. V., Çelik, Ü. A., Faydalıel, Ö., Mesçi, B., & Oğuz, A. (2024) · World Journal of Diabetes · doi:10.4239/wjd.v16.i1.98322 · Cited by 4 · see citing works
Suratham, S., & Klainin-Yobas, P. (2025) · The Science of Diabetes Self-Management and Care · doi:10.1177/26350106251378717 · Cited by 2 · see citing works
Rindarwati, A., Amalia, L., & Permana, H. (2025) · Pharmacia · doi:10.3897/pharmacia.72.e160083 · Cited by 4 · see citing works
“T2DM self-management, encompassing medication adherence, dietary control, blood glucose monitoring, and physical activity, is fundamental to achieving glycemic control (De Groot et al. 2021).”
Clarke, M. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.101183 · Cited by 3 · see citing works
“39% in HbA1c; [52] reports mean reduction of 0.”
BackgroundInfluentialEliza, D., Syafhan, N. F., Andrajati, R., & Fitriani, S. W. (2024) · Research Journal of Pharmacy and Technology · doi:10.52711/0974-360x.2024.00662 · Cited by 5 · see citing works
Digital health and telehealth for behavior change in diabetes
Litchman, M. L., Blanchette, J. E., Shockley, C., & Oser, T. K. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90557-2.00007-8 · Cited by 2 · see citing works
Erdt, M., Yusof, S. B., Chai, L., Salleh, S. U. M., Liu, Z., Sarim, H. B., Lim, G. H., Lim, H., Suhaimi, N. F. A., Yulong, L., et al. (2024) · Journal of Medical Internet Research · doi:10.2196/46983 · Cited by 2 · see citing works
Almarzooq, M. A., Almarzoug, H. A., Alhassan, M. J., Alrashed, M. I., Alnajjar, J. S., Albejais, N. A., Albahrani, S. J., Alibrahim, I., & Almaqhawi, A. (2025) · Medicina · doi:10.3390/medicina61020234 · Cited by 3 · see citing works
Zupa, M. F., Hamm, M., Alexander, L., & Rosland, A.-M. M. (2025) · JMIR Diabetes · doi:10.2196/60765 · Cited by 2 · see citing works
“…from randomized trials of telemedicine interventions for type 2 diabetes (T2D) demonstrates that remote review of blood glucose by care teams [7,8]; active remote medication adjustment [8,9]; patient engagement between visits via phone, text message, or portals [9]; multidisciplinary team…”
Amutha, A., Reji, S., Aarthi, R., Rao, S. K., Ganesan, S., Jebarani, S., Gangadhara, P., Ranjit Unnikrishnan, I., Mohan, V., & Anjana, R. M. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968251319333 · Cited by 1 · see citing works
Ahn, J., Yang, Y., Kim, J. Y., Pahn, J., & Jang, Y. (2025) · The Science of Diabetes Self-Management and Care · doi:10.1177/26350106251361360 · Cited by 1 · see citing works
States, D. (2025) · JMIR Diabetes · doi:10.2196/75689 · Cited by 2 · see citing works
Martella, P., Cascio, A. L., Povoli, A., Molino, L., Cangelosi, G., Orgiana, N., Mancin, S., Tomassini, F., Martino, G., Martino, S., et al. (2026) · Medicina · doi:10.3390/medicina62010147 · Cited by 1 · see citing works
“Encouraging results regarding patient satisfaction with telemedicine have also been ob‑ served among patients with chronic cardiac conditions [52].”
Ma, L., Zhao, W.-S., Wang, R., Huo, S.-S., Chu, S.-Y., Shi, L.-H., Chen, Y., & Zhong, Y. (2026) · BMC Endocrine Disorders · doi:10.1186/s12902-026-02183-4 · Cited by 3 · see citing works
“%) articles [23, 26, 28, 29, 31, 32] were categorized as moderate quality (Fig.”
Kongmalai, T., Yodmalai, C., Luerithiphong, S., Sitasuwan, T., & Thongtang, N. (2026) · Primary care diabetes · doi:10.1016/j.pcd.2026.03.004 · Cited by 1 · see citing works
Sadeghian, A., Tataei, A., Gholikhani-Darbroud, R., & Parizad, N. (2026) · BMC Nursing · doi:10.1186/s12912-026-04640-w · Cited by 1 · see citing works
“Remote patient education has demonstrated promising results, including significant reductions in HbA1c and improvements in insulin sensitivity as key indicators of T2D control [21–23].”
Diabétologie connectée : quelles sont les attentes des médecins et des patients ?
Naïditch, N., & Riveline, J. (2023) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(23)00073-1 · Cited by 1 · see citing works
Prawestiningtyas, E., Hamada, M., Aulia, N. A., Puspitasari, D., Yusuf, V., & Amar, N. (2023) · Jurnal Klinik dan Riset Kesehatan · doi:10.11594/jk-risk.02.3.6 · Cited by 1 · see citing works
Telemedicine in diabetic eye care: A meta-analysis of its effectiveness in underserved populations
Chid, R., & Akubue, I. (2024) · World Journal of Biology Pharmacy and Health Sciences · doi:10.30574/wjbphs.2024.17.3.0104 · Cited by 1 · see citing works
“Several studies have investigated the effectiveness of telemedicine interventions in diabetic eye care (Galiero et al., 2020; De Groot et al ., 2021).”
BackgroundAulia, B., Mayasari, M., Notarianti, R., & Pranoto, Y. A. (2025) · Nutrition and Health · doi:10.1177/02601060241313250 · Cited by 1 · see citing works
“In dietetic practice, the use of videoconferencing technologies for nutrition counseling has been reported to improve dietary behavior in patients with diabetes mellitus and spinal cord injuries (De Groot et al., 2021; Wood et al., 2022).”
Treneva, E. V., Bulgakova, S. V., Фатенков, О. В., Kurmaev, D. P., & Nesterenko, S. A. (2025) · Экспериментальная и клиническая гастроэнтерология · doi:10.31146/1682-8658-ecg-228-8-281-290 · Cited by 1 · see citing works
Yunir, E., Wafa, S., Tahapary, D. L., Rusdi, L., Lestari, Y. D., Nugroho, P., Nachrowi, A. P., Khumaedi, A. I., Tarigan, T. J. E., Salim, S., et al. (2022) · medRxiv · doi:10.1101/2022.12.18.22283494 · Cited by 1 · see citing works
“Several studies had shown that usage of telehealth in T2DM patients significantly improve not only glycemic control (13–15), but also body weight, blood pressure, lipid profile (16,17), and ultimately, quality of life (18).”
BackgroundMoraru, A., Rusu, N., Macadan, I., Ababei, C. D., Arcan, O.-D., Vasincu, A., Neamţu, M., & Bild, V. (2023) · Farmacist ro · doi:10.26416/farm.212.3.2023.8065
Acosta-Cárdenas, J. M., Velez, K. C., Guillén-Guillén, M., Cortiñas, K. G., Játiva-Cando, K., Morales-Bazurto, M., Párraga-Sanclemente, J. C., & Saquicela-Novillo, D. (2023) · Alad · doi:10.24875/alad.22000031
Martinez, S., Nouryan, C. N., Williams, M. S., Patel, V. H., Barbero, P., Gomez, V. C., Marino, J., Goris, N., Cigaran, E., Granville, D., et al. (2024) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2024.1328993
GlucTeleAI: ML-assisted Preliminary Diabetes Assessment Framework for Telemedicine Systems
Patel, J., Trivedi, C., Darji, K., Gupta, R., & Tanwar, S. (2024) · International Conference on Intelligent Technologies (CONIT) · doi:10.1109/conit61985.2024.10626025
Mahfuza, U., Meyerowitz‐Katz, G., Rasheed, R. A., Dick, H., MABERLY, G. F., & Jayaballa, R. (2025) · JMIR Diabetes · doi:10.2196/64832
Tornvall, I., Bennetts, D., Balasooriya, N. N., Comans, T. A., Russell, A. W., & Menon, A. (2025) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x251314290
Impacto de la telemedicina versus consultas presenciales en la gestión de diabetes e hipertensión
Medina, H. S. A., & Mendoza, G. S. B. (2025) · LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades · doi:10.56712/latam.v6i1.3554
Self Esteem in Diabetic Patients
Banariu, G. M., George, N., Rus, M., & Tica, V. (2024) · Springer eBooks · doi:10.1007/978-3-031-32046-0_36-1
Bridging the Gap in Diabetes Care Through Personalization: A Comprehensive Design Intervention
Chaudary, S., Ranade, P., & Verma, I. K. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-96-2179-8_14
Self-Esteem in Diabetic Patients
Banariu, G. M., George, N., Rus, M., & Tica, V. (2025) · Springer eBooks · doi:10.1007/978-3-031-73363-5_36
Aboagye, A., Peckham, J., Hearld, K. R., Abdullah, S., & Thirumalai, M. (2025) · JMIR Research Protocols · doi:10.2196/71495
Savitskaya, D., Solyanik, E. A., Ibragimova, L. I., Gerasimova, K. V., & Omelyanovskiy, V. V. (2026) · Russian Journal of Preventive Medicine · doi:10.17116/profmed202629031116
Dalstrom, M. D., Klein, C. J., Latino, D., & Cooling, M. (2026) · Digital Health · doi:10.1177/20552076261450465
Hangaard, S., Giese, I. E., Barington, P. F., Vestergaard, P., & Laursen, S. H. (2026) · Primary care diabetes · doi:10.1016/j.pcd.2026.05.004
Hu, R., Luo, X., He, C., Cui, X., Yuan, P., He, Q., Dong, M., Du, J., & Zhang, X. (2026) · Journal of Clinical Nursing · doi:10.1111/jocn.70457
Wojtera, A., Urantówka, N., Węglarz, A. K., Borowiecka, P. A., Adamarczuk, J. A., Głuski, J., Miciak, A. A., Kaszowska, K. B., Dąbrowski, T. P., Kaczmarz-Chojnacka, K., et al. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.3(51).2026.6172
Approaches to Diabetes Self-Management Education in Europe: An Extensive Literature Review
Borsoi, L., Falivena, C., & Callea, G. (2026) · Clinical Therapeutics · doi:10.1016/j.clinthera.2026.07.014
- Authors
- De Groot, J., Wu, D., Flynn, D., Robertson, D., Grant, G., & Sun, J.
- Affiliations
- Griffith University (AU)
- Corresponding author
- Sun, Jing
- ORCID
- Venue
- World Journal of Diabetes
- Publisher
- Baishideng Publishing Group Inc.
- Published
- 2021-02-15
- Volume
- 12
- Issue
- 2
- Pages
- 170-197
- ISSN
- 1948-9358 (ISSN-L)
- PMC
- PMC7839169
- OpenAlex
- W3121604829
- Cited by
- 77
- References
- 98
- Citations by year
- 2026: 10 · 2025: 20 · 2024: 11 · 2023: 18 · 2022: 14 · 2021: 4
- FWCI
- 2.09
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-nc
- Locations
- World Journal of Diabetes (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Griffith Research Online (submittedVersion, cc-by-nc)
- Griffith Research Online (Griffith University, Queensland, Australia) (submittedVersion, cc-by-nc)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- telemedicine, type 2 diabetes, glycemic control, HbA1c, videoconferencing, allied health, intervention engagement, self-care, glucose monitoring, self-efficacy, Hispanic patients, blood pressure, body mass index, quality of life
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