Efficacy of the Smartphone-Based Glucose Management Application Stratified by User Satisfaction
Open accessAbstract
BACKGROUND: We aimed to assess the efficacy of the smartphone-based health application for glucose control and patient satisfaction with the mobile network system used for glucose self-monitoring. METHODS: Thirty-five patients were provided with a smartphone device, and self-measured blood glucose data were automatically transferred to the medical staff through the smartphone application over the course of 12 weeks. The smartphone user group was divided into two subgroups (more satisfied group vs. less satisfied group) based on the results of questionnaire surveys regarding satisfaction, comfort, convenience, and functionality, as well as their willingness to use the smartphone application in the future. The control group was set up via a review of electronic medical records by group matching in terms of age, sex, doctor in charge, and glycated hemoglobin (HbA1c). RESULTS: Both the smartphone group and the control group showed a tendency towards a decrease in the HbA1c level after 3 months (7.7%±0.7% to 7.5%±0.7%, P=0.077). In the more satisfied group (n=27), the HbA1c level decreased from 7.7%±0.8% to 7.3%±0.6% (P=0.001), whereas in the less satisfied group (n=8), the HbA1c result increased from 7.7%±0.4% to 8.1%±0.5% (P=0.062), showing values much worse than that of the no-smartphone control group (from 7.7%±0.5% to 7.7%±0.7%, P=0.093). CONCLUSION: In addition to medical feedback, device and network-related patient satisfaction play a crucial role in blood glucose management. Therefore, for the smartphone app-based blood glucose monitoring to be effective, it is essential to provide the patient with a well-functioning high quality tool capable of increasing patient satisfaction and willingness to use.
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In T2DM, Kim et al found no significant decrease in HbA1c in participants with a low satisfaction level.
“Moreover, Kim et al [61] found a significant decrease of 0.4% (P<.001) in HbA1c in their subgroup analysis for participants with a high satisfaction level and no significant decrease in participants with a low satisfaction level.”
From Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review (2021) · cites this paper as [61]
In T2DM, Kim et al found a significant decrease of 0.4% (P<.001) in HbA1c in participants with a high satisfaction level.
“Moreover, Kim et al [61] found a significant decrease of 0.4% (P<.001) in HbA1c in their subgroup analysis for participants with a high satisfaction level and no significant decrease in participants with a low satisfaction level.”
From Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review (2021) · cites this paper as [61]
One T2DM study did not report on differences between groups.
“while 3 studies did not find a significant difference between groups [52,59,60] and 1 study did not report on differences between groups [61].”
From Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review (2021) · cites this paper as [61]
None of the 7 T2DM studies that reported on blood pressure found significant differences either within or between groups.
“None of the 7 studies that reported on blood pressure found significant differences either within or between groups [51-53,55,57,58,61].”
From Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review (2021) · cites this paper as [61]
HDL and LDL cholesterol were both included in 7 T2DM studies.
“High-density lipoprotein (HDL) cholesterol and low-density lipoprotein (LDL) cholesterol were both included in 7 studies [52,53,55-58,61].”
From Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review (2021) · cites this paper as [61]
Cholesterol levels were reported in 7 T2DM studies (407 intervention, 348 control).
“Cholesterol levels were reported in 7 studies (407 patients in the intervention groups and 348 patients in the control groups).”
From Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review (2021) · cites this paper as [61]
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Cites
1 retracted
Zolfaghari, M., Mousavifar, S. A., Razi, S. P., & Haghani, H. (2012) · Journal of Clinical Nursing · doi:10.1111/j.1365-2702.2011.03951.x · Cited by 102 · see citing works
RetractedDiabetes in Asia: Epidemiology, Risk Factors, and Pathophysiology
Chan, J. C. N., Malik, V., Jia, W., Kadowaki, T., Yajnik, C. S., Yoon, K.-H., & Hu, F. B. (2009) · JAMA · doi:10.1001/jama.2009.726 · Cited by 1,997 · see citing works
Self-citationEpidemic obesity and type 2 diabetes in Asia
Yoon, K.-H., Lee, J.-H., Kim, J.-W., Cho, J. H., Choi, Y.-H., Ko, S.-H., Zimmet, P., & Son, H.-Y. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69703-1 · Cited by 1,580 · see citing works
Self-citationThe Diabetes Network Internet-Based Physical Activity Intervention
McKay, H. G., King, D., Eakin, E. G., Seeley, J. R., & Glasgow, R. E. (2001) · Diabetes Care · doi:10.2337/diacare.24.8.1328 · Cited by 363 · cited 1× · see citing works
“This technology is mainly available for patients with chronic diseases, particularly for diabetes mellitus [6-14].”
BackgroundOng, K. L., Cheung, B. M. Y., Wong, L. Y. F., Wat, N. M. S., Tan, K. C. B., & Lam, K. S. L. (2008) · Annals of Epidemiology · doi:10.1016/j.annepidem.2007.10.007 · Cited by 232 · see citing works
Lund, S., Hemed, M., Nielsen, B., Said, A., Said, K., Makungu, M., & Rasch, V (2012) · BJOG: An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.2012.03413.x · Cited by 228 · see citing works
A Controlled Trial of Web-Based Diabetes Disease Management
Meigs, J. B., Cagliero, E., Dubey, A. K., Murphy-Sheehy, P., Gildesgame, C., Chueh, H. C., Barry, M. J., Singer, D. E., & Nathan, D. M. (2003) · Diabetes Care · doi:10.2337/diacare.26.3.750 · Cited by 197 · see citing works
A short message service by cellular phone in type 2 diabetic patients for 12 months
Yoon, K.-H., & Kim, H.-S. (2008) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2007.09.007 · Cited by 196 · see citing works
Self-citationEffectiveness 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
Self-citationEvaluation of a mobile phone telemonitoring system for glycaemic control in patients with diabetes
Istepanian, R. S., Zitouni, K., Harry, D., Moutosammy, N., Sungoor, A., Tang, B., & Earle, K. A. (2009) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2009.003006 · Cited by 177 · see citing works
Predicted Costs and Outcomes From Reduced Vibration Detection in People With Diabetes in the U.S.
Shearer, A. T., Scuffham, P., Gordois, A., & Oglesby, A. K. (2003) · Diabetes Care · doi:10.2337/diacare.26.8.2305 · Cited by 100 · see citing works
Impact of Computer-Generated Personalized Goals on HbA1c
Levetan, C. S., Dawn, K. R., Robbins, D. C., & Ratner, R. E. (2002) · Diabetes Care · doi:10.2337/diacare.25.1.2 · Cited by 87 · see citing works
An Electronic Case Manager for Diabetes Control
Meneghini, L., Albisser, A. M., Goldberg, R. B., & Mintz, D. H. (1998) · Diabetes Care · doi:10.2337/diacare.21.4.591 · Cited by 72 · see citing works
Smith, S. A., Murphy, M. E., Huschka, T. R., Dinneen, S. F., Gorman, C. A., Zimmerman, B. R., Rizza, R. A., & Naessens, J. M. (1998) · Diabetes Care · doi:10.2337/diacare.21.6.972 · Cited by 69 · see citing works
Ali, M. K., Shah, S., & Tandon, N. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500310 · Cited by 67 · see citing works
Influence of the Duration of Diabetes on the Outcome of a Diabetes Self-Management Education Program
Ko, S., Park, S.-A., Cho, J., Ko, S.-H., Shin, K.-M., Lee, S., Song, K., Park, Y., & Ahn, Y. (2012) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2012.36.3.222 · Cited by 64 · see citing works
Self-citationContracting and Monitoring Relationships for Adolescents with Type 1 Diabetes: A Pilot Study
Carroll, A. E., DiMeglio, L. A., Stein, S., & Marrero, D. G. (2011) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2010.0181 · Cited by 46 · see citing works
The Development and Pilot Testing of a Multimedia CD-ROM for Diabetes Education
Castaldini, M., SALTMARCH, M., Luck, S., & Sucher, K. P. (1998) · The Science of Diabetes Self-Management and Care · doi:10.1177/014572179802400304 · Cited by 32 · see citing works
Continuous glucose monitoring: current clinical use
Kim, H., Shin, J., Chang, J., Cho, J., Son, H., & Yoon, K. (2012) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2346 · Cited by 30 · see citing works
Self-citationTelemedicine in the management of pregnancy in type 1 diabetic women.
Frost, D., & Beischer, W. (2000) · Diabetes Care · doi:10.2337/diacare.23.6.863 · Cited by 29 · see citing works
Cho, J., Choi, Y., Kim, H., Lee, J., & Yoon, K. (2011) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2011.101006 · Cited by 25 · see citing works
Self-citationDeveloping a Computerized Diabetes Self-Management Education Module for Documenting Outcomes
Tomky, D. M. (1999) · The Science of Diabetes Self-Management and Care · doi:10.1177/014572179902500205 · Cited by 16 · see citing works
Model driven mobile care for patients with type 1 diabetes.
Skrøvseth, S. O., Årsand, E., Godtliebsen, F., & Joakimsen, R. M. (2012) · PubMed · Cited by 6 · see citing works
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Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review
Kim, B. Y., & Lee, J. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.7141 · Cited by 217 · see citing works
Fu, H., McMahon, S. K., Gross, C. R., Adam, T. J., & Wyman, J. F. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.06.016 · Cited by 173 · see citing works
What do we know about mobile applications for diabetes self-management? A review of reviews
Hood, M., Wilson, R., Corsica, J., Bradley, L., Chirinos, D., & Vivo, A. (2016) · Journal of Behavioral Medicine · doi:10.1007/s10865-016-9765-3 · Cited by 161 · see citing works
Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review
Eberle, C., Löhnert, M., & Stichling, S. (2021) · JMIR mHealth and uHealth · doi:10.2196/23477 · Cited by 160 · see citing works
“Six studies looked at total cholesterol [52,53,55,56,58,61], but only 1 study found a significant change within the intervention group (P=.”
InfluentialYang, Y., Lee, E. Y., Kim, H.-S., Lee, S.-H., Yoon, K.-H., & Cho, J.-H. (2020) · JMIR mHealth and uHealth · doi:10.2196/16266 · Cited by 148 · see citing works
Self-citationTailored Communication Within Mobile Apps for Diabetes Self-Management: A Systematic Review
Holmen, H., Wahl, A. K., Småstuen, M. C., & Ribu, L. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7045 · Cited by 82 · see citing works
Use of Mobile Health Technology in the Prevention and Management of Diabetes Mellitus
Hartz, J., Yingling, L., & Powell-Wiley, T. M. (2016) · Current Cardiology Reports · doi:10.1007/s11886-016-0796-8 · Cited by 64 · see citing works
Kim, Y. J., Rhee, S. Y., Byun, J. K., Park, S. Y., Hong, S. M., Chin, S. O., Chon, S., Oh, S., Woo, J.-T., Kim, S. W., et al. (2015) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2015.39.3.207 · Cited by 63 · see citing works
Self-citationAdu, M. D., Malabu, U. H., Callander, E. J., Malau‐Aduli, A. E. O., & Malau‐Aduli, B. S. (2018) · JMIR mhealth and uhealth · doi:10.2196/10115 · Cited by 60 · see citing works
Self-management of Chronic Conditions Using mHealth Interventions in Korea: A Systematic Review
Yi, J. Y., Kim, Y., Cho, Y.-M., & Kim, H. (2018) · Healthcare Informatics Research · doi:10.4258/hir.2018.24.3.187 · Cited by 59 · see citing works
Self-citationAdu, M. D., Malabu, U. H., Malau‐Aduli, A. E. O., & Malau‐Aduli, B. S. (2020) · Scientific Reports · doi:10.1038/s41598-019-56411-0 · Cited by 59 · see citing works
Chiang, K., & Wang, H. (2016) · Journal of Clinical Nursing · doi:10.1111/jocn.13231 · Cited by 55 · see citing works
Koot, D., Goh, P. S. C., Lim, R. S. M., Tian, Y., Yau, T. Y., Tan, N. C., & Finkelstein, E. A. (2019) · JMIR mhealth and uhealth · doi:10.2196/12965 · Cited by 54 · see citing works
Macdonald, E. M., Perrin, B. M., & Kingsley, M. I. (2018) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x17699990 · Cited by 53 · see citing works
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Kim, H., Lee, K. H., Kim, H., & Kim, J. H. (2014) · Maturitas · doi:10.1016/j.maturitas.2014.08.013 · Cited by 53 · see citing works
Self-citationNew Directions in Chronic Disease Management
Kim, H., Cho, J., & Yoon, K. (2015) · Endocrinology and Metabolism · doi:10.3803/enm.2015.30.2.159 · Cited by 44 · see citing works
Self-citationAng, S. M., Chen, J., Liew, J. H., Johal, J., Dan, Y. Y., Allman-Farinelli, M. A., & Lim, S. L. (2021) · Journal of Medical Internet Research · doi:10.2196/28185 · Cited by 43 · see citing works
Determinants of mobile technology use and smartphone application interest in cancer patients
Raghunathan, N. J., Korenstein, D., Li, Q. S., Tonorezos, E. S., & Mao, J. J. (2018) · Cancer Medicine · doi:10.1002/cam4.1660 · Cited by 43 · 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
Self-citationSu, D., McBride, C., Zhou, J., & Kelley, M. S. (2016) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x15608297 · Cited by 39 · see citing works
Albrecht, U., Afshar, K., Illiger, K., Becker, S., Hartz, T., Breil, B., Wichelhaus, D. P., & von Jan, U. (2017) · Digital Health · doi:10.1177/2055207617695135 · Cited by 33 · see citing works
Oh, S. W., Kim, K. K., Kim, S. S., Park, S.-K., & Park, S. (2021) · JMIR mhealth and uhealth · doi:10.2196/27192 · Cited by 32 · see citing works
Lin, J., Bates, S. M., Allen, L. N., Wright, M., Mao, L., & Kidd, M. R. (2025) · JMIR mhealth and uhealth · doi:10.2196/66650 · Cited by 30 · see citing works
Towards Telemedicine Adoption in Korea: 10 Practical Recommendations for Physicians
Kim, H. (2021) · Journal of Korean Medical Science · doi:10.3346/jkms.2021.36.e103 · Cited by 27 · see citing works
Self-citationLessons from Use of Continuous Glucose Monitoring Systems in Digital Healthcare
Kim, H., & Yoon, K. (2020) · Endocrinology and Metabolism · doi:10.3803/enm.2020.675 · Cited by 26 · see citing works
Self-citationYoshida, Y., Patil, S. J., Brownson, R. C., Boren, S. A., Kim, M. J., Dobson, R., Waki, K., Greenwood, D. A., Torbjørnsen, A., Ramachandran, A., et al. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa041 · Cited by 25 · see citing works
van Kerkhof, L. W. M., van der Laar, C. W. E., de Jong, C., Weda, M., & Hegger, I. (2016) · JMIR mHealth and uHealth · doi:10.2196/mhealth.4149 · Cited by 23 · see citing works
Current Clinical Status of Telehealth in Korea: Categories, Scientific Basis, and Obstacles
Kim, H., Kim, H., Lee, S., Lee, K. H., & Kim, J. H. (2015) · Healthcare Informatics Research · doi:10.4258/hir.2015.21.4.244 · Cited by 22 · see citing works
Self-citationPark, J. I., Lee, H. Y., Kim, H., Lee, J., Shinn, J., & Kim, H. (2021) · Journal of Korean Medical Science · doi:10.3346/jkms.2021.36.e253 · Cited by 22 · see citing works
Self-citationApprehensions about Excessive Belief in Digital Therapeutics: Points of Concern Excluding Merits
Kim, H. (2020) · Journal of Korean Medical Science · doi:10.3346/jkms.2020.35.e373 · Cited by 20 · see citing works
Self-citationSebastián, J. V.-D., Ciudin, A., & Castellano‐Tejedor, C. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10122701 · Cited by 20 · see citing works
Sarma, A. D., & Devi, M. (2025) · Hormones · doi:10.1007/s42000-025-00644-4 · Cited by 16 · see citing works
Kim, J., Choi, Y., Song, Y., & Park, W. (2024) · Journal of Medical Internet Research · doi:10.2196/65128 · Cited by 14 · see citing works
Kim, H., Yang, S. J., Jeong, Y. J., Kim, Y., Hong, S. W., & Cho, J. (2017) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2017.41.3.213 · Cited by 13 · see citing works
Self-citationDevelopment and Evaluation: The Satisfaction of Using an Oral Health Survey Mobile Application
Detsomboonrat, P., & Pisarnturakit, P. P. (2018) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2017.0288 · Cited by 11 · see citing works
The effect of m-health applications on self-care improvement in older adults: A systematic review
Kalhori, S. R. N., Katigari, M. R., Azadboni, T. T., Pahlevanynejad, S., & Eshpala, R. H. (2023) · Informatics for Health and Social Care · doi:10.1080/17538157.2023.2171878 · Cited by 10 · see citing works
Park, H. S., Kim, K. I., Soh, J. Y., Hyun, Y. H., Lee, B. E., Lee, J. H., Jo, J. G., Lee, H. C., & Kim, H. S. (2020) · Journal of Medical Systems · doi:10.1007/s10916-020-01664-w · Cited by 11 · see citing works
Self-citationThe effectiveness of telemedicine in the management of type 2 diabetes: A systematic review
Dat, T. V., Binh, V., Hoang, T. M., Tu, V. L., Luyến, P. Đ., & Le, A. T.-K. (2024) · SAGE Open Medicine · doi:10.1177/20503121241271846 · Cited by 10 · see citing works
Xiang, Y., Luo, P., Cai, X., Tang, Y., & Wu, Z. (2017) · Patient Preference and Adherence · doi:10.2147/ppa.s130060 · Cited by 9 · see citing works
Detsomboonrat, P., & Pisarnturakit, P. P. (2024) · JMIR Formative Research · doi:10.2196/56143 · Cited by 10 · see citing works
Rasche, P., Mertens, A., Miron‐Shatz, T., Berzon, C., Schlick, C. M., Jahn, M., & Becker, S. (2018) · PLoS ONE · doi:10.1371/journal.pone.0197455 · Cited by 9 · see citing works
Yang, H. C., Chung, S. H., Yoo, J. S., Park, B., Kim, M. S., & Lee, J. M. (2022) · The Korean Journal of Thoracic and Cardiovascular Surgery · doi:10.5090/jcs.21.138 · Cited by 8 · see citing works
Choi, E., & Kang, S. (2018) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000000433 · Cited by 8 · see citing works
Liu, A., MARCON, M. A., Assor, E., Mahmud, F. H., Turner, J. M., & Mager, D. R. (2018) · Canadian Journal of Dietetic Practice and Research · doi:10.3148/cjdpr-2018-010 · Cited by 7 · see citing works
Social Networking Services-Based Communicative Care for Patients with Diabetes Mellitus in Korea
Kim, H., Jeong, Y., Baik, S. J., Yang, S. J., Kim, T. M., Kim, H., Lee, H., Lee, S., Cho, J., Choi, I.-Y., et al. (2016) · Applied Clinical Informatics · doi:10.4338/aci-2016-06-ra-0088 · Cited by 6 · see citing works
Self-citationChai, S., Wang, D., Yao, B., Xu, L., Ji, L., & Zhang, X. (2020) · Journal of Public Health · doi:10.1007/s10389-020-01210-5 · Cited by 5 · see citing works
Won, K. C. (2018) · Cited by 5 · see citing works
Mas, A. M., Sampol, P. P., & Conti, J. V. (2016) · Retos · doi:10.47197/retos.v0i29.36019 · Cited by 6 · see citing works
Acculturation and Disparities in Telemedicine Readiness: A National Study
Rodríguez-Fernández, J. M., Hoertel, N., Saner, H. E., & Raji, M. A. (2023) · The International Journal of Aging and Human Development · doi:10.1177/00914150231219259 · Cited by 4 · see citing works
Recent Technology-Driven Advancements in Cardiovascular Disease Prevention in Korea
Lee, J., Kim, H., & Kim, D. (2019) · Cardiovascular Prevention and Pharmacotherapy · doi:10.36011/cpp.2019.1.e7 · Cited by 4 · see citing works
Self-citationKim, C. H., Cheon, J. S., Choi, W. Y., & Son, K. M. (2018) · Archives of Craniofacial Surgery · doi:10.7181/acfs.2018.19.1.41 · Cited by 4 · see citing works
Self-citationNdahiriwe, C. C., Gasana, J., Nshimiyimana, J., Bavuma, C. M., Bucyana, E., Manirafasha, C., Bugingo, J. D. D., Tuyizere, M., Rutayisire, R., Ntakirutimana, S., et al. (2024) · Rwanda Journal of Medicine and Health Sciences · doi:10.4314/rjmhs.v7i1.6 · Cited by 3 · see citing works
Mobile Healthcare System Provided by Primary Care Physicians Improves Quality of Diabetes Care
Oh, T. J., Lee, J.-E., Kim, S., Yoo, S., & Jang, H. C. (2021) · CardioMetabolic Syndrome Journal · doi:10.51789/cmsj.2021.1.e6 · Cited by 3 · see citing works
Kim, K. J., Park, Y. S., Sun, E., Jo, E., Shinn, J., Yim, H. W., Kim, C. O., & Kim, H. (2025) · Yonsei Medical Journal · doi:10.3349/ymj.2024.0261 · Cited by 2 · see citing works
Self-citationThe Importance of Quality Tools in the Health Environment
Drei, S. M., César, F. I. G., & Ignácio, P. S. D. A. (2019) · International Journal of Advanced Engineering Research and Science · doi:10.22161/ijaers.68.1 · Cited by 2 · see citing works
Personalized Health Assistant with Reinforcement Learning
Jin, J., Kim, M., & Kim, S. D. (2024) · IEEE International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC) · doi:10.1109/aimhc59811.2024.00034 · Cited by 2 · see citing works
Jung, Y., Kim, J.-Y., Seo, S., Kim, Y., Ko, M. J., & Kim, H.-S. (2026) · Journal of Korean Medical Science · doi:10.3346/jkms.2026.41.e45 · Cited by 1 · see citing works
Self-citationTele-, Mobile- and Web-Based Technologies in Cardiovascular Medicine
Andreadis, I. I., & Nikita, K. S. (2019) · Series in bioengineering · doi:10.1007/978-981-10-5092-3_13 · Cited by 1 · see citing works
e-Medication met behulp van apps : Gebruik en gebruikerservaringen
Lwm, V. K., van de Laar, K., Bc, S., & Hegger, I. (2015) · Rivm (National Institute for Public Health and the Environment)
Usability Evaluation of Blood Glucose Meters for Elderly Diabetic Patients
Rasche, P., Choe, P., Theis, S., Wille, M., Bröhl, C., Finken, L., Becker, S., Schlick, C. M., & Mertens, A. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-40093-8_68
Clinicians’ Acceptance of Interactive Health Technologies to Support Patient Self-Management
Alrawashdeh, M. (2017) · D-Scholarship@Pitt (University of Pittsburgh)
Online monitoring system for emergency diabetes mellitus patients
Kurniawati, R., Suryono, S., & Ismail, S. (2021) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/1108/1/012018
Evaluation of Smart After-Care Program for Patients With Lung CancerPreprint
Yang, H. C., Chung, S. H., Yoo, J. S., Park, B., Choi, J. H., Kim, M. S., & Lee, J. M. (2021) · Research Square · doi:10.21203/rs.3.rs-825440/v1
Lv, X., Cao, Y., Xia, J., Tan, R., & Chang, P. (2018) · doi:10.2196/preprints.11476
Kwon, I. H., & Chung, J. (2016) · Central Asian Journal of Medical Sciences · doi:10.24079/cajms.2016.01.002
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Baik, S. Y., Park, H., Shinn, J., & Kim, H. (2024) · Cardiovascular Prevention and Pharmacotherapy · doi:10.36011/cpp.2024.6.e5
Self-citationKim, J., Choi, Y., Song, Y., & Park, W. (2024) · doi:10.2196/preprints.65128
- Authors
- Kim, H.-S., Choi, W., Baek, E. K., Kim, Y. A., Yang, S. J., Choi, I. Y., Yoon, K.-H., & Cho, J.-H.
- Affiliations
- Catholic University of Korea (KR)
- Corresponding author
- Cho, Jae-Hyoung
- Venue
- Diabetes & Metabolism Journal
- Publisher
- Korean Diabetes Association
- Published
- 2014
- Volume
- 38
- Issue
- 3
- Pages
- 204
- ISSN
- 2233-6079 (ISSN-L)
- 2233-6087
- PMC
- PMC4083027
- OpenAlex
- W1983656173
- Cited by
- 68
- References
- 23
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 7 · 2023: 2 · 2022: 1 · 2021: 8 · 2020: 8 · 2019: 5 · 2018: 10 · 2017: 8 · 2016: 9 · 2015: 5 · 2014: 1
- FWCI
- 13.88
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Diabetes & Metabolism Journal (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Technology Innovation Program (primary care centered Smart Care Service Pilot Project) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea) (10035059)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- mobile application, blood glucose monitoring, glycemic control, HbA1c, patient satisfaction, diabetes management, mobile health, self-monitoring of blood glucose
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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