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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 Metab J. 2017;41(3):213-222.   Published online June 21, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.3.213
  • 4,947 View
  • 40 Download
  • 8 Web of Science
  • 8 Crossref
AbstractAbstract PDFPubReader   
Background

Private local clinics in Korea have little experience with information technology (IT)-based glucose monitoring (ITGM). Our aim is to examine user satisfaction and the possibility of using ITGM service practically.

Methods

Patients sent their blood glucose levels to physicians in local clinics. The physicians reviewed the blood glucose values online and provided personal consultations through text messaging or phone calls. Thereafter, a satisfaction survey on the ITGM service, the modified Morisky scale, and patient assessment of chronic illness care were administered.

Results

One hundred and seventy patients from seven private local clinics used the ITGM. Overall satisfaction, including that about the ITGM service, the device, and its usefulness, was rated higher than “mostly satisfied” (score 4.2±0.8 out of 5.0) and even higher among the elderly. Satisfaction was positively associated with age, especially in those older than 60 years. The main reason for intent for future use of the service was the time/place flexibility. Highly motivated patients tended to answer positively regarding information satisfaction (P=0.0377).

Conclusion

Our study is the first to investigate ITGM satisfaction in private local clinics. The feasibility of users utilizing ITGM should be clarified, and future clinical research on the service's clinical effects and cost-benefit analysis is needed.

Citations

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  • Exploring Quantitative Methodologies for Assessing the Environmental, Social, and Economic Impacts of Telemedicine: A Literature Review
    Anna Savoldelli, Daniele Landi, Caterina Rizzi
    Sustainability.2024; 16(6): 2438.     CrossRef
  • Telemedicine for Diabetes Mellitus Management in Older Adults: A Systematic Review
    Luca Schiliró Tristão, Guilherme Tavares, Francisco Tustumi, Wanderley Marques Bernardo, Márcio Luis Duarte, Maria Stella Peccin, Lucas Ribeiro dos Santos
    Current Diabetes Reviews.2023;[Epub]     CrossRef
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    Emily de Souza Ferreira, Fernanda de Aguiar Franco, Marina Marilac dos Santos Lara, André Amaral Levcovitz, Mateus Araújo Dias, Tiago Ricardo Moreira, Ary Henrique Morais de Oliveira, Rosângela Minardi Mitre Cotta
    BMC Health Services Research.2023;[Epub]     CrossRef
  • Effects of the Physician–Primary-Healthcare Nurse Telemedicine Model (P-NTM) on Medication Adherence and Health-Related Quality of Life (HRQoL) of Patients with Chronic Disease at Remote Rural Areas
    Mi Young Kwak, Eun Jeong Hwang, Tae Ho Lee
    International Journal of Environmental Research and Public Health.2021; 18(5): 2502.     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
  • Apprehensions about Excessive Belief in Digital Therapeutics: Points of Concern Excluding Merits
    Hun-Sung Kim
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
  • Peripartum Management of Gestational Diabetes Using a Digital Health Care Service: A Pilot, Randomized Controlled Study
    Ji-Hee Sung, Da Young Lee, Kyoung Pil Min, Cheol-Young Park
    Clinical Therapeutics.2019; 41(11): 2426.     CrossRef
  • Mobile Phone–Based Telemedicine Practice in Older Chinese Patients with Type 2 Diabetes Mellitus: Randomized Controlled Trial
    Chenglin Sun, Lin Sun, Shugang Xi, Hong Zhang, Huan Wang, Yakun Feng, Yufeng Deng, Haimin Wang, Xianchao Xiao, Gang Wang, Yuan Gao, Guixia Wang
    JMIR mHealth and uHealth.2019; 7(1): e10664.     CrossRef
Clinical Care/Education
Physician-Directed Diabetes Education without a Medication Change and Associated Patient Outcomes
Hun-Sung Kim, Hyunah Kim, Hae-Kyung Yang, Eun Young Lee, Yoo Jin Jeong, Tong Min Kim, So Jung Yang, Seo Yeon Baik, Seung-Hwan Lee, Jae Hyoung Cho, In Young Choi, Hyeon Woo Yim, Bong-Yun Cha
Diabetes Metab J. 2017;41(3):187-194.   Published online May 12, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.3.187
  • 4,454 View
  • 38 Download
  • 1 Web of Science
  • 3 Crossref
AbstractAbstract PDFPubReader   
Background

When patients with diabetes mellitus (DM) are first referred to a hospital from primary health care clinics, physicians have to decide whether to administer an oral hypoglycemic agent (OHA) immediately or postpone a medication change in favor of diabetes education regarding diet or exercise. The aim of this study was to determine the effect of diabetes education alone (without alterations in diabetes medication) on blood glucose levels.

Methods

The study was conducted between January 2009 and December 2013 and included patients with DM. The glycosylated hemoglobin (HbA1c) levels were evaluated at the first visit and after 3 months. During the first medical examination, a designated doctor also conducted a diabetes education session that mainly covered dietary management.

Results

Patients were divided into those who received no diabetic medications (n=66) and those who received an OHA (n=124). Education resulted in a marked decrease in HbA1c levels in the OHA group among patients who had DM for <1 year (from 7.0%±1.3% to 6.6%±0.9%, P=0.0092) and for 1 to 5 years (from 7.5%±1.8% to 6.9%±1.1%, P=0.0091). Those with DM >10 years showed a slightly lower HbA1c target achievement rate of <6.5% (odds ratio, 0.089; P=0.0024).

Conclusion

For patients who had DM for more than 5 years, higher doses or changes in medication were more effective than intensive active education. Therefore, individualized and customized education are needed for these patients. For patients with a shorter duration of DM, it may be more effective to provide initial intensive education for diabetes before prescribing medicines, such as OHAs.

Citations

Citations to this article as recorded by  
  • Management Status of Patients with Type 2 Diabetes Mellitus at General Hospitals in Korea: A 5-Year Follow-Up Study
    Jin Hee Jung, Jung Hwa Lee, Hyang Mi Jang, Young Na, Hee Sun Choi, Yeon Hee Lee, Yang Gyo Kang, Na Rae Kim, Jeong Rim Lee, Bok Rye Song, Kang Hee Sim
    The Journal of Korean Diabetes.2022; 23(1): 64.     CrossRef
  • Effect of Voluntary Participation on Mobile Health Care in Diabetes Management: Randomized Controlled Open-Label Trial
    Da Young Lee, Seung-Hyun Yoo, Kyong Pil Min, Cheol-Young Park
    JMIR mHealth and uHealth.2020; 8(9): e19153.     CrossRef
  • Developing a multi-center clinical data mart of ACEI and ARB for real-world evidence (RWE)
    Hun-Sung Kim, Sue Hyun Lee, Tong Min Kim, Ju Han Kim
    Clinical Hypertension.2018;[Epub]     CrossRef
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
  • 5,055 View
  • 50 Download
  • 43 Web of Science
  • 47 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.

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Diabetes Metab J : Diabetes & Metabolism Journal