Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
2 "Ubiquitous"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Article
Efficacy of the Smartphone-Based Glucose Management Application Stratified by User Satisfaction
Hun-Sung Kim, Wona Choi, Eun Kyoung Baek, Yun A Kim, So Jung Yang, In Young Choi, Kun-Ho Yoon, Jae-Hyoung Cho
Diabetes Metab J. 2014;38(3):204-210.   Published online June 17, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.3.204
  • 5,833 View
  • 59 Download
  • 44 Web of Science
  • 48 Crossref
AbstractAbstract PDFPubReader   
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.

Citations

Citations to this article as recorded by  
  • Acculturation and Disparities in Telemedicine Readiness: A National Study
    Jorge M. Rodríguez-Fernández, Nicolas Hoertel, Hugo Saner, Mukaila Raji
    The International Journal of Aging and Human Development.2024; 99(1): 96.     CrossRef
  • Diverse perspectives on remote collaborative care for chronic disease management
    Seo Yeon Baik, Hakyoung Park, Jiwon Shinn, Hun-Sung Kim
    Cardiovascular Prevention and Pharmacotherapy.2024; 6(1): 26.     CrossRef
  • Time Efficiency, Reliability, and User Satisfaction of the Tooth Memo App for Recording Oral Health Information: Cross-Sectional Questionnaire Study
    Palinee Detsomboonrat, Pagaporn Pantuwadee Pisarnturakit
    JMIR Formative Research.2024; 8: e56143.     CrossRef
  • The effectiveness of telemedicine in the management of type 2 diabetes: A systematic review
    Truong Van Dat, Van Binh, Thai Minh Hoang, Vo Linh Tu, Pham Dinh Luyen, Le Thi Kim Anh
    SAGE Open Medicine.2024;[Epub]     CrossRef
  • The effect of m-health applications on self-care improvement in older adults: A systematic review
    Sharareh Rostam Niakan Kalhori, Meysam Rahmani Katigari, Tahere Talebi Azadboni, Shahrbanoo Pahlevanynejad, Rahil Hosseini Eshpala
    Informatics for Health and Social Care.2023; 48(3): 292.     CrossRef
  • The effect of education and mobile health management on improvement of blood glucose with type 2 diabetes mellitus
    Sanbao Chai, Danyang Wang, Baoting Yao, Lin Xu, Linong Ji, Xiaomei Zhang
    Journal of Public Health.2022; 30(1): 205.     CrossRef
  • Effect of an Integrative Mobile Health Intervention in Patients With Hypertension and Diabetes: Crossover Study
    Sang Woo Oh, Kyoung-Kon Kim, Sung Soo Kim, Su Kyung Park, Sangshin Park
    JMIR mHealth and uHealth.2022; 10(1): e27192.     CrossRef
  • Evaluation of a Smart After-Care Program for Patients with Lung Cancer: A Prospective, Single-Arm Pilot Study
    Hee Chul Yang, Seung Hyun Chung, Ji Sung Yoo, Boram Park, Moon Soo Kim, Jong Mog Lee
    Journal of Chest Surgery.2022; 55(2): 108.     CrossRef
  • Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review
    Claudia Eberle, Maxine Löhnert, Stefanie Stichling
    JMIR mHealth and uHealth.2021; 9(2): e23477.     CrossRef
  • Mobile Healthcare System Provided by Primary Care Physicians Improves Quality of Diabetes Care
    Tae Jung Oh, Jie-Eun Lee, Seok Kim, Sooyoung Yoo, Hak Chul Jang
    CardioMetabolic Syndrome Journal.2021; 1(1): 88.     CrossRef
  • Online monitoring system for emergency diabetes mellitus patients
    R Kurniawati, S Suryono, S Ismail
    IOP Conference Series: Materials Science and Engineering.2021; 1108(1): 012018.     CrossRef
  • Towards Telemedicine Adoption in Korea: 10 Practical Recommendations for Physicians
    Hun-Sung Kim
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Analysis of Effectiveness and Psychological Techniques Implemented in mHealth Solutions for Middle-Aged and Elderly Adults with Type 2 Diabetes: A Narrative Review of the Literature
    Julia Vázquez-de Sebastián, Andreea Ciudin, Carmina Castellano-Tejedor
    Journal of Clinical Medicine.2021; 10(12): 2701.     CrossRef
  • Lack of Acceptance of Digital Healthcare in the Medical Market: Addressing Old Problems Raised by Various Clinical Professionals and Developing Possible Solutions
    Jong Il Park, Hwa Young Lee, Hyunah Kim, Jisan Lee, Jiwon Shinn, Hun-Sung Kim
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Efficacy of Interventions That Incorporate Mobile Apps in Facilitating Weight Loss and Health Behavior Change in the Asian Population: Systematic Review and Meta-analysis
    Siew Min Ang, Juliana Chen, Jia Huan Liew, Jolyn Johal, Yock Young Dan, Margaret Allman-Farinelli, Su Lin Lim
    Journal of Medical Internet Research.2021; 23(11): e28185.     CrossRef
  • Apprehensions about Excessive Belief in Digital Therapeutics: Points of Concern Excluding Merits
    Hun-Sung Kim
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
  • Effect of a Mobile Phone–Based Glucose-Monitoring and Feedback System for Type 2 Diabetes Management in Multiple Primary Care Clinic Settings: Cluster Randomized Controlled Trial
    Yeoree Yang, Eun Young Lee, Hun-Sung Kim, Seung-Hwan Lee, Kun-Ho Yoon, Jae-Hyoung Cho
    JMIR mHealth and uHealth.2020; 8(2): e16266.     CrossRef
  • The development of My Care Hub Mobile-Phone App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes
    Mary D. Adu, Usman H. Malabu, Aduli E. O. Malau-Aduli, Bunmi S. Malau-Aduli
    Scientific Reports.2020;[Epub]     CrossRef
  • Using the RE-AIM framework to evaluate internal and external validity of mobile phone–based interventions in diabetes self-management education and support
    Yilin Yoshida, Sonal J Patil, Ross C Brownson, Suzanne A Boren, Min Kim, Rosie Dobson, Kayo Waki, Deborah A Greenwood, Astrid Torbjørnsen, Ambady Ramachandran, Christopher Masi, Vivian A Fonseca, Eduardo J Simoes
    Journal of the American Medical Informatics Association.2020; 27(6): 946.     CrossRef
  • Development and Operation of a Video Teleconsultation System Using Integrated Medical Equipment Gateway: a National Project for Workers in Underserved Areas
    Hyun Sang Park, Kwang il Kim, Jae Young Soh, Young Ho Hyun, Bang Eun Lee, Jong Hwa Lee, Jung Gwon Jo, Han Chae Lee, Hwa Sun Kim
    Journal of Medical Systems.2020;[Epub]     CrossRef
  • Lessons from Use of Continuous Glucose Monitoring Systems in Digital Healthcare
    Hun-Sung Kim, Kun-Ho Yoon
    Endocrinology and Metabolism.2020; 35(3): 541.     CrossRef
  • Recent Technology-Driven Advancements in Cardiovascular Disease Prevention in Korea
    Jisan Lee, Hun-Sung Kim, Dai-Jin Kim
    Cardiovascular Prevention and Pharmacotherapy.2019; 1(2): 43.     CrossRef
  • Development and Evaluation: The Satisfaction of Using an Oral Health Survey Mobile Application
    Palinee Detsomboonrat, Pagaporn Pantuwadee Pisarnturakit
    Telemedicine and e-Health.2019; 25(1): 55.     CrossRef
  • A Mobile Lifestyle Management Program (GlycoLeap) for People With Type 2 Diabetes: Single-Arm Feasibility Study
    David Koot, Paul Soo Chye Goh, Robyn Su May Lim, Yubing Tian, Teng Yan Yau, Ngiap Chuan Tan, Eric Andrew Finkelstein
    JMIR mHealth and uHealth.2019; 7(5): e12965.     CrossRef
  • Self-management of Chronic Conditions Using mHealth Interventions in Korea: A Systematic Review
    Jae Yoon Yi, Yujin Kim, Yoon-Min Cho, Hongsoo Kim
    Healthcare Informatics Research.2018; 24(3): 187.     CrossRef
  • Seamless recording of glucometer measurements among older experienced diabetic patients – A study of perception and usability
    Peter Rasche, Alexander Mertens, Talya Miron-Shatz, Corinne Berzon, Christopher M. Schlick, Michael Jahn, Stefan Becker, Clemens Fürnsinn
    PLOS ONE.2018; 13(5): e0197455.     CrossRef
  • The efficacy of mobile application use on recall of surgical risks in nasal bone fracture reduction surgery
    Choong Hyeon Kim, Ji Seon Cheon, Woo Young Choi, Kyung Min Son
    Archives of Craniofacial Surgery.2018; 19(1): 41.     CrossRef
  • Enablers and barriers to using two-way information technology in the management of adults with diabetes: A descriptive systematic review
    Emma M Macdonald, Byron M Perrin, Michael IC Kingsley
    Journal of Telemedicine and Telecare.2018; 24(5): 319.     CrossRef
  • Considerations for the Development of Mobile Phone Apps to Support Diabetes Self-Management: Systematic Review
    Mary D Adu, Usman H Malabu, Emily J Callander, Aduli EO Malau-Aduli, Bunmi S Malau-Aduli
    JMIR mHealth and uHealth.2018; 6(6): e10115.     CrossRef
  • The Relationship Between Acceptance Intention Toward a Smartphone Healthcare Application and Health-Promoting Behaviors Among Nursing Students
    Eun-Jin Choi, Se-Won Kang
    CIN: Computers, Informatics, Nursing.2018; 36(10): 494.     CrossRef
  • Dietary Intake and Micronutrient Supplementation in Youth with Celiac Disease with and without Type 1 Diabetes
    Amanda Liu, Margaret Marcon, Esther Assor, Farid H. Mahmud, Justine Turner, Diana Mager
    Canadian Journal of Dietetic Practice and Research.2018; 79(3): 118.     CrossRef
  • Determinants of mobile technology use and smartphone application interest in cancer patients
    Nirupa Jaya Raghunathan, Deborah Korenstein, Qing S. Li, Emily S. Tonorezos, Jun J. Mao
    Cancer Medicine.2018; 7(11): 5812.     CrossRef
  • Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: A systematic review
    Helen Fu, Siobhan K. McMahon, Cynthia R. Gross, Terrence J. Adam, Jean F. Wyman
    Diabetes Research and Clinical Practice.2017; 131: 70.     CrossRef
  • Expectancy, usage and acceptance by general practitioners and patients: exploratory results from a study in the German outpatient sector
    Urs-Vito Albrecht, Kambiz Afshar, Kristin Illiger, Stefan Becker, Tobias Hartz, Bernhard Breil, Daniel Wichelhaus, Ute von Jan
    DIGITAL HEALTH.2017; 3: 205520761769513.     CrossRef
  • Satisfaction Survey on Information Technology-Based Glucose Monitoring System Targeting Diabetes Mellitus in Private Local Clinics in Korea
    Hun-Sung Kim, So Jung Yang, Yoo Jin Jeong, Young-Eun Kim, Seok-Won Hong, Jae Hyoung Cho
    Diabetes & Metabolism Journal.2017; 41(3): 213.     CrossRef
  • Tailored Communication Within Mobile Apps for Diabetes Self-Management: A Systematic Review
    Heidi Holmen, Astrid Klopstad Wahl, Milada Cvancarova Småstuen, Lis Ribu
    Journal of Medical Internet Research.2017; 19(6): e227.     CrossRef
  • Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review
    Ben YB Kim, Joon Lee
    JMIR mHealth and uHealth.2017; 5(5): e69.     CrossRef
  • What do we know about mobile applications for diabetes self-management? A review of reviews
    Megan Hood, Rebecca Wilson, Joyce Corsica, Lauren Bradley, Diana Chirinos, Amanda Vivo
    Journal of Behavioral Medicine.2016; 39(6): 981.     CrossRef
  • Randomized, Open-Label, Parallel Group Study to Evaluate the Effect of Internet-Based Glucose Management System on Subjects with Diabetes in China
    Hun-Sung Kim, Chenglin Sun, So Jung Yang, Lin Sun, Fei Li, In Young Choi, Jae-Hyoung Cho, Guixia Wang, Kun-Ho Yoon
    Telemedicine and e-Health.2016; 22(8): 666.     CrossRef
  • Characterization of Apps and Other e-Tools for Medication Use: Insights Into Possible Benefits and Risks
    Linda Wilhelmina Maria van Kerkhof, Catharina Walthera Egbertha van der Laar, Charlie de Jong, Marjolein Weda, Ingrid Hegger
    JMIR mHealth and uHealth.2016; 4(2): e34.     CrossRef
  • Social Networking Services-Based Communicative Care for Patients with Diabetes Mellitus in Korea
    Hun-Sung Kim, Yoo Jeong, Sun Baik, So Yang, Tong Kim, Hyunah Kim, Hyunyong Lee, Seung-Hwan Lee, Jae Cho, In-Young Choi, Kun-Ho Yoon
    Applied Clinical Informatics.2016; 07(03): 899.     CrossRef
  • Use of Mobile Health Technology in the Prevention and Management of Diabetes Mellitus
    Jacob Hartz, Leah Yingling, Tiffany M. Powell-Wiley
    Current Cardiology Reports.2016;[Epub]     CrossRef
  • Nurses’ experiences of using a smart mobile device application to assist home care for patients with chronic disease: a qualitative study
    Kuei‐Feng Chiang, Hsiu‐Hung Wang
    Journal of Clinical Nursing.2016; 25(13-14): 2008.     CrossRef
  • Does nutritional counseling in telemedicine improve treatment outcomes for diabetes? A systematic review and meta-analysis of results from 92 studies
    Dejun Su, Chelsea McBride, Junmin Zhou, Megan S Kelley
    Journal of Telemedicine and Telecare.2016; 22(6): 333.     CrossRef
  • A Smartphone Application Significantly Improved Diabetes Self-Care Activities with High User Satisfaction
    Yu Jin Kim, Sang Youl Rhee, Jong Kyu Byun, So Young Park, Soo Min Hong, Sang Ouk Chin, Suk Chon, Seungjoon Oh, Jeong-taek Woo, Sung Woon Kim, Young Seol Kim
    Diabetes & Metabolism Journal.2015; 39(3): 207.     CrossRef
  • New Directions in Chronic Disease Management
    Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon
    Endocrinology and Metabolism.2015; 30(2): 159.     CrossRef
  • Current Clinical Status of Telehealth in Korea: Categories, Scientific Basis, and Obstacles
    Hun-Sung Kim, Hyunah Kim, Suehyun Lee, Kye Hwa Lee, Ju Han Kim
    Healthcare Informatics Research.2015; 21(4): 244.     CrossRef
  • Using mobile phones in healthcare management for the elderly
    Hun-Sung Kim, Kye-Hwa Lee, Hyunah Kim, Ju Han Kim
    Maturitas.2014; 79(4): 381.     CrossRef
Clinical Trial
Perspectives of "Ubiquitous Health Care System" for Diabetes Management.
Jae Hyoung Cho, Hyuk Sang Kwon, Kun Ho Yoon
Korean Diabetes J. 2006;30(2):87-95.   Published online March 1, 2006
DOI: https://doi.org/10.4093/jkda.2006.30.2.87
  • 2,513 View
  • 22 Download
  • 7 Crossref
AbstractAbstract PDF
Although clear evidences of the beneficial effects of tight glycemic control on diabetic patients had been already made, the past decade has not seen any noticeable improvement in terms of glycemic control. "Ubiquitous health care system", which is one of the developing fusion technologies of IT, BT and NT, could give us new solutions in future. We established the Internet based glucose monitoring system (IBGMS) and conducted prospective, randomized short-term and long-term clinical trials using the system which can guide the patients with diabetes by mobile technology anytime and anywhere. The mean HbA1c and HbA1c fluctuation index (SD of mean HbA1c) during the whole study period was significantly lowered by the intervention, suggesting more improved state in both HbA1c level and glucose stability. Appropriate physician's advises to the patients' questions and problems at the right time through the IBGMS were the major interventions. Although many unsolved problems still exist, the Internet-based bidirectional communication system developed by the advanced information technology can contribute to the foundations to tomorrow's or ubiquitous medicine

Citations

Citations to this article as recorded by  
  • Development healthcare PC and multimedia software for improvement of health status and exercise habits
    Sekyoung Youm, Shuai Liu
    Multimedia Tools and Applications.2017; 76(17): 17751.     CrossRef
  • How the Awareness of u-Healthcare Service and Health Conditions Affect Healthy Lifestyle: An Empirical Analysis Based on a u-Healthcare Service Experience
    Sekyoung Youm, Seung-Hun Park
    Telemedicine and e-Health.2015; 21(4): 286.     CrossRef
  • Detection of IgG Using Thiolated Protein G Modified SPR Sensor Chip
    Eun-Jung Sin, Yeon-Kyung Lee, Young-Soo Sohn
    Journal of Sensor Science and Technology.2011; 20(6): 434.     CrossRef
  • Diabetes Management System Based on Ubiquitous Healthcare
    Jiwoon Kim, Chul Woo Ahn
    Journal of Korean Diabetes.2011; 12(3): 133.     CrossRef
  • Service Design Attributes Affecting Diabetic Patient Preferences of Telemedicine in South Korea
    Hayoung Park, YuCheong Chon, Jongsu Lee, Ie-Jung Choi, Kun-Ho Yoon
    Telemedicine and e-Health.2011; 17(6): 442.     CrossRef
  • U-Health Service for Managing Chronic Disease: A Case Study on Managing Metabolic Syndrome in a Health Center in South Korea
    Tae-Min Song, Seewon Ryu, Sang Ho Lee
    Healthcare Informatics Research.2011; 17(4): 260.     CrossRef
  • Effects of 'Ubiquitous Healthcare' on the Ability of Self-Management in Elderly Diabetic Patients
    Sung Hoon Yu, Sun Hee Kim, So Yeon Kim, Sung Hee Choi, Soo Lim, Yoon Seok Chang, Hak Jong Lee, Young Joo Park, Hak Chul Jang
    Korean Diabetes Journal.2009; 33(1): 58.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer
TOP