Diabetes & Metabolism Journal

Review

Technology/Device
Present and Future of Digital Health in Diabetes and Metabolic Disease: Sang Youl Rhee, Chiweon Kim, Dong Wook Shin, Steven R. Steinhubl; Diabetes Metab J. 2020;44(6):819-827. Published online December 23, 2020; DOI: https://doi.org/10.4093/dmj.2020.0088

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The use of information and communication technology (ICT) in medical and healthcare services goes beyond everyday life. Expectations of a new medical environment, not previously experienced by ICT, exist in the near future. In particular, chronic metabolic diseases such as diabetes and obesity, have a high prevalence and high social and economic burden. In addition, the continuous evaluation and monitoring of daily life is important for effective treatment and management. Therefore, the wide use of ICTbased digital health systems is required for the treatment and management of these diseases. In this article, we compiled a variety of digital health technologies introduced to date in the field of diabetes and metabolic diseases.

Citations

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Digital Behavior Change Interventions to Reduce Sedentary Behavior and Promote Physical Activity in Adults with Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
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International Journal of Behavioral Medicine.2024; 31(6): 959. CrossRef
Digital Health in Diabetes and Cardiovascular Disease
Dorothy Avoke, Abdallah Elshafeey, Robert Weinstein, Chang H. Kim, Seth S. Martin
Endocrine Research.2024; 49(3): 124. CrossRef
Weight Management Health Note, a Mobile Health Platform for Obesity Management Developed by the Korean Society for the Study of Obesity
Yujung Lee, Hyunji Sang, Sunyoung Kim, Doo Ah Choi, Sang Youl Rhee
Journal of Obesity & Metabolic Syndrome.2024; 33(1): 1. CrossRef
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Kyuho Kim, Jae-Seung Yun, Joonyub Lee, Yeoree Yang, Minhan Lee, Yu-Bae Ahn, Jae Hyoung Cho, Seung-Hyun Ko
Endocrinology and Metabolism.2024; 39(2): 344. CrossRef
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Preventive Medicine Reports.2024; 47: 102893. CrossRef
Electronic health Literacy gaps among adults with diabetes in the United States: Role of socioeconomic and demographic factors
Aditya Nagori, Neil Keshvani, Lajjaben Patel, Ritika Dhruve, Andrew Sumarsono
Preventive Medicine Reports.2024; 47: 102895. CrossRef
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PLOS ONE.2023; 18(2): e0281844. CrossRef
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Luís Velez Lapão, Jorge César Correia, Marija Jevtic
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Journal of Medical Internet Research.2023; 25: e43224. CrossRef
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Journal of Public Health Policy.2023; 44(2): 179. CrossRef
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Yan-kun Chen, Ting-ting Liu, Farah Khameis Farag Teia, Meng-zhou Xie
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Clínica y Salud.2022; 33(1): 35. CrossRef
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Frontiers in Immunology.2022;[Epub] CrossRef
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‪Yifat Fundoiano-Hershcovitz, Dror Bacher, Marilyn D Ritholz, David L Horwitz, Omar Manejwala, Pavel Goldstein
Journal of Medical Internet Research.2022; 24(2): e32923. CrossRef
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Helen Dallosso, Panna Mandalia, Laura J. Gray, Yogini V. Chudasama, Sopna Choudhury, Shahrad Taheri, Naina Patel, Kamlesh Khunti, Melanie J. Davies
Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(6): 1549. CrossRef
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Journal of Medical Internet Research.2022; 24(7): e37430. CrossRef
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Trials.2022;[Epub] CrossRef
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European Geriatric Medicine.2022; 13(5): 1187. CrossRef

Original Articles

Obesity and Metabolic Syndrome
Air Pollution Has a Significant Negative Impact on Intentional Efforts to Lose Weight: A Global Scale Analysis: Morena Ustulin, So Young Park, Sang Ouk Chin, Suk Chon, Jeong-taek Woo, Sang Youl Rhee; Diabetes Metab J. 2018;42(4):320-329. Published online April 24, 2018; DOI: https://doi.org/10.4093/dmj.2017.0104

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Abstract PDF PubReader

Background

Air pollution causes many diseases and deaths. It is important to see how air pollution affects obesity, which is common worldwide. Therefore, we analyzed data from a smartphone application for intentional weight loss, and then we validated them.

Methods

Our analysis was structured in two parts. We analyzed data from a cohort registered to a smartphone application in 10 large cities of the world and matched it with the annual pollution values. We validated these results using daily pollution data in United States and matching them with user information. Body mass index (BMI) variation between final and initial login time was considered as outcome in the first part, and daily BMI in the validation. We analyzed: daily calories intake, daily weight, daily physical activity, geographical coordinates, seasons, age, gender. Weather Underground application programming interface provided daily climatic values. Annual and daily values of particulate matter PM10 and PM2.5 were extracted. In the first part of the analysis, we used 2,608 users and then 995 users located in United States.

Results

Air pollution was highest in Seoul and lowest in Detroit. Users decreased BMI by 2.14 kg/m² in average (95% confidence interval, −2.26 to −2.04). From a multilevel model, PM10 (β=0.04, P=0.002) and PM2.5 (β=0.08, P<0.001) had a significant negative effect on weight loss when collected per year. The results were confirmed with the validation (β_AQI*time=1.5×10^–5; P<0.001) by mixed effects model.

Conclusion

This is the first study that shows how air pollution affects intentional weight loss applied on wider area of the world.

Citations

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Jyoti Dabas, S. Shunmukha Priya, Akshay Alawani, Praveen Budhrani
Journal of Health, Population and Nutrition.2024;[Epub] CrossRef
Subchronic exposure to 1,2-naphthoquinone induces adipose tissue inflammation and changes the energy homeostasis of mice, partially due to TNFR1 and TLR4
Clílton Kraüss de Oliveira Ferreira, Clara Machado Campolim, Olívia Pizetta Zordão, Fernando Moreira Simabuco, Chadi Pellegrini Anaruma, Rodrigo Martins Pereira, Vitor Ferreira Boico, Luiz Guilherme Salvino, Maíra Maftoum Costa, Nathalia Quintero Ruiz, Le
Toxicology Reports.2023; 11: 10. CrossRef
Effects of Ambient Particulate Matter (PM2.5) Exposure on Calorie Intake and Appetite of Outdoor Workers
Thavin Kumar Mathana Sundram, Eugenie Sin Sing Tan, Hwee San Lim, Farahnaz Amini, Normina Ahmad Bustami, Pui Yee Tan, Navedur Rehman, Yu Bin Ho, Chung Keat Tan
Nutrients.2022; 14(22): 4858. CrossRef
Efficiency in reducing air pollutants and healthcare expenditure in the Seoul Metropolitan City of South Korea
Subal C. Kumbhakar, Jiyeon An, Masoomeh Rashidghalam, Almas Heshmati
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Seasonal variation and trends in the Internet searches for losing weight: An infodemiological study
Ying Teng, Shun-Wei Huang, Zhen Li, Qiao-Mei Xie, Man Zhang, Qiu-Yue Lou, Fang Wang, Yan-Feng Zou
Obesity Research & Clinical Practice.2020; 14(3): 225. CrossRef
Estimation of health benefits from air quality improvement using the MODIS AOD dataset in Seoul, Korea
Daeun Kim, Jeongyeong Kim, Jaehwan Jeong, Minha Choi
Environmental Research.2019; 173: 452. CrossRef
Appropriate Medical Technology in the Era of the 4th Industrial Revolution
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The Korean Journal of Medicine.2019; 94(5): 387. CrossRef
Can Air Pollution Biologically Hinder Efforts to Lose Body Weight?
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Diabetes & Metabolism Journal.2018; 42(4): 282. CrossRef

Clinical Care/Education
Feasibility of a Patient-Centered, Smartphone-Based, Diabetes Care System: A Pilot Study: Eun Ky Kim, Soo Heon Kwak, Seungsu Baek, Seung Lyeol Lee, Hak Chul Jang, Kyong Soo Park, Young Min Cho; Diabetes Metab J. 2016;40(3):192-201. Published online April 8, 2016; DOI: https://doi.org/10.4093/dmj.2016.40.3.192

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Background

We developed a patient-centered, smartphone-based, diabetes care system (PSDCS). This study aims to test the feasibility of glycosylated hemoglobin (HbA1c) reduction with the PSDCS.

Methods

This study was a single-arm pilot study. The participants with type 2 diabetes mellitus were instructed to use the PSDCS, which integrates a Bluetooth-connected glucometer, digital food diary, and wearable physical activity monitoring device. The primary end point was the change in HbA1c from baseline after a 12-week intervention.

Results

Twenty-nine patients aged 53.9±9.1 years completed the study. HbA1c and fasting plasma glucose levels decreased significantly from baseline (7.7%±0.7% to 7.1%±0.6%, P<0.0001; 140.9±39.1 to 120.1±31.0 mg/dL, P=0.0088, respectively). The frequency of glucose monitoring correlated with the magnitude of HbA1c reduction (r=–0.57, P=0.0013). The components of the diabetes self-care activities, including diet, exercise, and glucose monitoring, were significantly improved, particularly in the upper tertile of HbA1c reduction. There were no severe adverse events during the intervention.

Conclusion

A 12-week application of the PSDCS to patients with inadequately controlled type 2 diabetes resulted in a significant HbA1c reduction with tolerable safety profiles; these findings require confirmation in a future randomized controlled trial.

Citations

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Journal of Diabetes Science and Technology.2024; 18(1): 148. CrossRef
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Waleed M. Sweileh
Journal of Evaluation in Clinical Practice.2024; 30(4): 638. CrossRef
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Public Health.2024; 235: 152. CrossRef
The Role of Smartwatch Technology in the Provision of Care for Type 1 or 2 Diabetes Mellitus or Gestational Diabetes: Systematic Review
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Wearable Devices for Supporting Chronic Disease Self-Management: Scoping Review
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Interactive Journal of Medical Research.2024; 13: e55925. CrossRef
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Helen N C Fu, Jean F Wyman, Cynthia J Peden-McAlpine, Claire Burke Draucker, Titus Schleyer, Terrence J Adam
JMIR Diabetes.2023; 8: e38592. CrossRef
The Clinical Impact of Flash Glucose Monitoring—a Digital Health App and Smartwatch Technology in Patients With Type 2 Diabetes: Scoping Review
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Mary M Barker, Radhika Chauhan, Melanie J Davies, Christopher Brough, Alison Northern, Bernie Stribling, Sally Schreder, Kamlesh Khunti, Michelle Hadjiconstantinou
JMIR Diabetes.2023; 8: e44943. CrossRef
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David Kerr, Steven Edelman, Giacomo Vespasiani, Kamlesh Khunti
Endocrine Practice.2022; 28(8): 811. CrossRef
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Hun Jee Choe, Eun-Jung Rhee, Jong Chul Won, Kyong Soo Park, Won-Young Lee, Young Min Cho
Diabetes Care.2022; 45(10): 2224. CrossRef
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JMIR Diabetes.2021; 6(1): e23687. CrossRef
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Journal of Clinical Medicine.2021; 10(12): 2701. CrossRef
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Je-Hoon Lee, Jai-Chang Park, Seong-Beom Kim
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Diabetes Care.2019; 42(1): 3. CrossRef
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Cell Metabolism.2019; 29(3): 564. CrossRef
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Clinical Therapeutics.2019; 41(11): 2426. CrossRef
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Journal of the Academy of Nutrition and Dietetics.2019; 119(4): 626. CrossRef
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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
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Fertility and Sterility.2016; 106(3): 574. 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

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Abstract PDF PubReader

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

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Jorge M. Rodríguez-Fernández, Nicolas Hoertel, Hugo Saner, Mukaila Raji
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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
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Sang Woo Oh, Kyoung-Kon Kim, Sung Soo Kim, Su Kyung Park, Sangshin Park
JMIR mHealth and uHealth.2022; 10(1): e27192. CrossRef
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Hee Chul Yang, Seung Hyun Chung, Ji Sung Yoo, Boram Park, Moon Soo Kim, Jong Mog Lee
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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
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Journal of Clinical Medicine.2021; 10(12): 2701. CrossRef
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Jong Il Park, Hwa Young Lee, Hyunah Kim, Jisan Lee, Jiwon Shinn, Hun-Sung Kim
Journal of Korean Medical Science.2021;[Epub] CrossRef
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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
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JMIR mHealth and uHealth.2020; 8(2): e16266. CrossRef
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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
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Journal of Medical Systems.2020;[Epub] CrossRef
Lessons from Use of Continuous Glucose Monitoring Systems in Digital Healthcare
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Endocrinology and Metabolism.2020; 35(3): 541. CrossRef
Recent Technology-Driven Advancements in Cardiovascular Disease Prevention in Korea
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Self-management of Chronic Conditions Using mHealth Interventions in Korea: A Systematic Review
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Healthcare Informatics Research.2018; 24(3): 187. CrossRef
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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
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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
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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
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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;[Epub] CrossRef
Satisfaction Survey on Information Technology-Based Glucose Monitoring System Targeting Diabetes Mellitus in Private Local Clinics in Korea
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Diabetes & Metabolism Journal.2017; 41(3): 213. CrossRef
Tailored Communication Within Mobile Apps for Diabetes Self-Management: A Systematic Review
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Journal of Medical Internet Research.2017; 19(6): e227. CrossRef
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Journal of Behavioral Medicine.2016; 39(6): 981. CrossRef
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Telemedicine and e-Health.2016; 22(8): 666. CrossRef
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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
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Diabetes & Metabolism Journal.2015; 39(3): 207. CrossRef
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Current Clinical Status of Telehealth in Korea: Categories, Scientific Basis, and Obstacles
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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

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