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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
  • 10,511 View
  • 300 Download
  • 21 Web of Science
  • 23 Crossref
AbstractAbstract PDFPubReader   ePub   
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

Citations to this article as recorded by  
  • 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
  • Effectiveness of a Social Networking Site Based Automatic Mobile Message Providing System on Glycemic Control in Patients with Type 2 Diabetes Mellitus
    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
  • Prediabetes in a French overseas territory: Clinical Characteristics, Risk Factors, and Implications for type 2 diabetes prevention
    René Bun, Babacar Tounkara, Sébastien Leruste, Laurie Kichenapanaidou, Mathilde Simonson, Christine Kowalczyk, Jean-Marc Franco, Catherine Marimoutou, Estelle Nobécourt
    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; : 102895.     CrossRef
  • A data-driven approach to manage type 2 diabetes mellitus through digital health: The Klivo Intervention Program protocol (KIPDM)
    Camila Maciel de Oliveira, Luiza Borcony Bolognese, Mercedes Balcells, Davi Casale Aragon, Roberto Luis Zagury, Clemente Nobrega, Chunyu Liu, Dured Dardari
    PLOS ONE.2023; 18(2): e0281844.     CrossRef
  • Public Health Framework for Smart Cities within the Comprehensive Approach to Sustainability in Europe: Case Study of Diabetes
    Luís Velez Lapão, Jorge César Correia, Marija Jevtic
    Sustainability.2023; 15(5): 4269.     CrossRef
  • Lessons for Vietnam on the Use of Digital Technologies to Support Patient-Centered Care in Low- and Middle-Income Countries in the Asia-Pacific Region: Scoping Review
    Leona Kosowicz, Kham Tran, Toan Tran Khanh, Thu Ha Dang, Van An Pham, Hue Ta Thi Kim, Hoang Thi Bach Duong, Tran Dong Nguyen, Anh Tuyet Phuong, Trong Hieu Le, Van Anh Ta, Nilmini Wickramasinghe, Penelope Schofield, John Zelcer, Tuan Pham Le, Tuan Anh Nguy
    Journal of Medical Internet Research.2023; 25: e43224.     CrossRef
  • Digital health, cardiometabolic disease and ethnicity: an analysis of United Kingdom government policies from 2010 to 2022
    Zareen Thorlu-Bangura, Lydia Poole, Harpreet Sood, Nushrat Khan, Fiona Stevenson, Kamlesh Khunti, Paramjit Gill, Madiha Sajid, Wasim Hanif, Neeraj Bhala, Shivali Modha, Kiran Patel, Ann Blandford, Amitava Banerjee, Mel Ramasawmy
    Journal of Public Health Policy.2023; 44(2): 179.     CrossRef
  • 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
    Xiaoyan Zhang, Xue Qiao, Ke Peng, Shan Gao, Yufang Hao
    International Journal of Behavioral Medicine.2023;[Epub]     CrossRef
  • Exploring the underlying mechanisms of obesity and diabetes and the potential of Traditional Chinese Medicine: an overview of the literature
    Yan-kun Chen, Ting-ting Liu, Farah Khameis Farag Teia, Meng-zhou Xie
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Stakeholders’ Perceptions Regarding Digital Therapeutics Reimbursement in South Korea: Qualitative Study
    Boram Sim, Jin Han Ju, Byungsoo Kim, Jin Yong Lee
    JMIR mHealth and uHealth.2023; 11: e47407.     CrossRef
  • Research Trends in Motivation and Weight Loss: A Bibliometric-Based Review
    Uroš Železnik, Peter Kokol, Jasmina Starc, Danica Železnik, Jernej Završnik, Helena Blažun Vošner
    Healthcare.2023; 11(23): 3086.     CrossRef
  • Analysis of the management and therapeutic performance of diabetes mellitus employing special target
    Hong-Yan Sun, Xiao-Yan Lin
    World Journal of Diabetes.2023; 14(12): 1721.     CrossRef
  • Psychoeducational Interventions in Children and Adolescents with Type-1 Diabetes: A Systematic Review
    Bárbara Luque, Joaquín Villaécija, Rosario Castillo-Mayén, Esther Cuadrado, Sebastián Rubio, Carmen Tabernero
    Clínica y Salud.2022; 33(1): 35.     CrossRef
  • Prevalence of Hyperuricemia Among Chinese Adults: Findings From Two Nationally Representative Cross-Sectional Surveys in 2015–16 and 2018–19
    Mei Zhang, Xiaoxia Zhu, Jing Wu, Zhengjing Huang, Zhenping Zhao, Xiao Zhang, Yu Xue, Weiguo Wan, Chun Li, Wenrong Zhang, Linhong Wang, Maigeng Zhou, Hejian Zou, Limin Wang
    Frontiers in Immunology.2022;[Epub]     CrossRef
  • Blood Pressure Monitoring as a Digital Health Tool for Improving Diabetes Clinical Outcomes: Retrospective Real-world Study
    ‪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
  • The effectiveness of a structured group education programme for people with established type 2 diabetes in a multi-ethnic population in primary care: A cluster randomised trial
    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
  • Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial
    Eun Young Lee, Seon-Ah Cha, Jae-Seung Yun, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Min Kyung Hyun, Seung-Hyun Ko
    Journal of Medical Internet Research.2022; 24(7): e37430.     CrossRef
  • Qatar Diabetes Mobile Application Trial (QDMAT): an open-label randomised controlled trial to examine the impact of using a mobile application to improve diabetes care in type 2 diabetes mellitus—a study protocol
    Noor Suleiman, Meis Alkasem, Zaina Al Amer, Obada Salameh, Noora Al-Thani, Mohammad Khair Hamad, Khaled Baagar, Ibrahem Abdalhakam, Manal Othman, Ragae Dughmosh, Dabia Al-Mohanadi, Ali Al Sanousi, Mohammed Bashir, Odette Chagoury, Shahrad Taheri, Abdul-Ba
    Trials.2022;[Epub]     CrossRef
  • Digital environment: An evolutionary component in environmental health
    Afiqah Syamimi Masrani, Nik Rosmawati Nik Husain
    Journal of Public Health Research.2022; 11(2): 227990362211031.     CrossRef
  • Innovations in Cardio-oncology Resulting from the COVID-19 Pandemic
    Lavanya Kondapalli, Garima Arora, Riem Hawi, Efstathia Andrikopoulou, Courtney Estes, Nirav Patel, Carrie G. Lenneman
    Current Treatment Options in Oncology.2022; 23(9): 1288.     CrossRef
  • Effects of peer support and mobile application-based walking programme on physical activity and physical function in rural older adults: a cluster randomized controlled trial
    Xue Cai, Shanhu Qiu, Dan Luo, Ruxue Li, Chengyu Liu, Yanhui Lu, Cuirong Xu, Mingzi Li
    European Geriatric Medicine.2022; 13(5): 1187.     CrossRef
Original Article
Clinical Care/Education
Depressive Symptoms Are Negatively Associated with Glucose Testing and Eating Meals on Time among Individuals with Diabetes in Zambia
Given Hapunda, Amina Abubakar, Frans Pouwer, Fons van de Vijver
Diabetes Metab J. 2017;41(6):440-448.   Published online November 17, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.6.440
  • 4,141 View
  • 38 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFPubReader   
Background

Depression is an established risk factor for cardiovascular diseases and mortality among individuals living with diabetes, and impaired self-care behaviors may play a mediating role. In Africa, this association is not very well known. In this study, we examined the associations between depressive symptoms and different aspects of diabetes self-care in Zambian individuals with diabetes mellitus.

Methods

A total of 157 individuals with diabetes mellitus participated. The sample was drawn from four city hospitals in Zambia. Diabetes self-care was assessed using the diabetes self-care inventory, and depression was assessed using the major depression inventory.

Results

Fifty-nine percent of the sample had type 1 diabetes mellitus. Variations in self-care activities and behaviors were reported as least adhered to by individuals with type 1 and type 2 diabetes mellitus, in adolescent and adult patients. Regression analysis indicated that there was no association between total diabetes self-care and the depression total score. However, depression was associated with poor glucose testing and not eating meals on time by patients with diabetes.

Conclusion

Some variance on poor self-care was explained by demographic characteristics, specifically age, body mass index, and to some extent, socioeconomic status. Recognition and successful treatment of depression in patients with diabetes might help to optimize self-care behaviors, especially glucose testing and eating meals on time. However, this hypothesis needs further testing.

Citations

Citations to this article as recorded by  
  • Self-management practices for preventing complications of type II diabetes mellitus in low and middle-income countries: A scoping review
    Pauline Muthoni Maina, Melanie Pienaar, Marianne Reid
    International Journal of Nursing Studies Advances.2023; 5: 100136.     CrossRef
  • Patient-reported outcomes for diabetes and hypertension care in low- and middle-income countries: A scoping review
    Sarah Masyuko, Carrie J. Ngongo, Carole Smith, Rachel Nugent, Cesario Bianchi
    PLOS ONE.2021; 16(1): e0245269.     CrossRef
  • Peripheral and Central Metabolites Affecting Depression, Anxiety, Suicidal Ideation, and Anger in Complex Regional Pain Syndrome Patients Using a Magnetic Resonance Spectroscopy: A Pilot Study
    Ye-Ha Jung, Hyeonjin Kim, So Yeon Jeon, Jeong Min Kwon, Won Joon Lee, Joon Hwan Jang, Dasom Lee, Yoonji Lee, Do-Hyung Kang
    Psychiatry Investigation.2018; 15(9): 891.     CrossRef
Review
Clinical Care/Education
A Clinical Practice Guideline to Guide a System Approach to Diabetes Care in Hong Kong
Ip Tim Lau
Diabetes Metab J. 2017;41(2):81-88.   Published online April 14, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.2.81
  • 4,378 View
  • 63 Download
  • 35 Web of Science
  • 36 Crossref
AbstractAbstract PDFPubReader   

The Hospital Authority of Hong Kong is a statutory body that manages all the public medical care institutions in Hong Kong. There are currently around 400,000 diabetic patients under its care at 17 hospitals (providing secondary care for 40%) and 73 General Outpatient Clinics (providing primary care for 60%). The patient population has been growing at 6% to 8% per year over the past 5 years, estimated to include over 95% of all diagnosed patients in Hong Kong. In order to provide equitable and a minimal level of care within resources and local system factors constraints, a Clinical Practice Guideline on the management of type 2 diabetes mellitus was drawn in 2013 to guide a system approach to providing diabetes care. There is an algorithm for the use of various hypoglycemic agents. An organizational drug formulary governs that less expansive options have to be used first. A number of clinical care and patient empowerment programs have been set up to support structured and systematic diabetes care. With such a system approach, there have been overall improvements in diabetes care with the percentage of patients with glycosylated hemoglobin <7% rising from 40% in 2010 to 52% in 2015.

Citations

Citations to this article as recorded by  
  • Risk of Dementia Among Patients With Diabetes in a Multidisciplinary, Primary Care Management Program
    Kailu Wang, Shi Zhao, Eric Kam-Pui Lee, Susan Zi-May Yau, Yushan Wu, Chi-Tim Hung, Eng-Kiong Yeoh
    JAMA Network Open.2024; 7(2): e2355733.     CrossRef
  • Evaluating different low‐density lipoprotein cholesterol thresholds to initiate statin for prevention of cardiovascular diseases in patients with type 2 diabetes mellitus: A target trial emulation study
    Eric Yuk Fai Wan, Wanchun Xu, Anna Hoi Ying Mok, Weng Yee Chin, Esther Yee Tak Yu, Celine Sze Ling Chui, Esther Wai Yin Chan, Ian Chi Kei Wong, Cindy Lo Kuen Lam, Goodarz Danaei
    Diabetes, Obesity and Metabolism.2024; 26(5): 1877.     CrossRef
  • Prevalence and factors associated with diabetes-related distress in type 2 diabetes patients: a study in Hong Kong primary care setting
    Man Ho Wong, Sin Man Kwan, Man Chi Dao, Sau Nga Fu, Wan Luk
    Scientific Reports.2024;[Epub]     CrossRef
  • Comparisons of the risks of new-onset prostate cancer in type 2 diabetes mellitus between SGLT2I and DPP4I users: a population-based cohort study
    Oscar Hou In Chou, Lei Lu, Cheuk To Chung, Jeffrey Shi Kai Chan, Raymond Ngai Chiu Chan, Athena Yan Hiu Lee, Edward Christopher Dee, Kenrick Ng, Hugo Hok Him Pui, Sharen Lee, Bernard Man Yung Cheung, Gary Tse, Jiandong Zhou
    Diabetes & Metabolism.2024; : 101571.     CrossRef
  • Optimizing physician‐encounter frequency for type 2 diabetes patients in primary care based on cardiovascular risk assessment: A target trial emulation study
    Wanchun Xu, Yuan Wang, Peter Tanuseputro, Cindy Lo Kuen Lam, Eric Yuk Fai Wan
    Diabetes, Obesity and Metabolism.2024; 26(11): 5358.     CrossRef
  • SGLT2i reduces risk of developing HCC in patients with co-existing type 2 diabetes and hepatitis B infection: A territory-wide cohort study in Hong Kong
    Chi-Ho Lee, Lung-Yi Mak, Eric Ho-Man Tang, David Tak-Wai Lui, Jimmy Ho-Cheung Mak, Lanlan Li, Tingting Wu, Wing Lok Chan, Man-Fung Yuen, Karen Siu-Ling Lam, Carlos King Ho Wong
    Hepatology.2023; 78(5): 1569.     CrossRef
  • Team-Based Diabetes Care in Ontario and Hong Kong: a Comparative Review
    Calvin Ke, Emaad Mohammad, Juliana C. N. Chan, Alice P. S. Kong, Fok-Han Leung, Baiju R. Shah, Douglas Lee, Andrea O. Luk, Ronald C. W. Ma, Elaine Chow, Xiaolin Wei
    Current Diabetes Reports.2023; 23(7): 135.     CrossRef
  • Association of eGFR slope with all-cause mortality, macrovascular and microvascular outcomes in people with type 2 diabetes and early-stage chronic kidney disease
    Qiao Jin, Cindy Lo Kuen Lam, Eric Yuk Fai Wan
    Diabetes Research and Clinical Practice.2023; 205: 110924.     CrossRef
  • Association Between SGLT2 Inhibitors vs DPP-4 Inhibitors and Risk of Pneumonia Among Patients With Type 2 Diabetes
    Philip C M Au, Kathryn C B Tan, Bernard M Y Cheung, Ian C K Wong, Ying Wong, Ching-Lung Cheung
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(4): e1719.     CrossRef
  • Effectiveness of Integrative Chinese–Western Medicine for Chronic Kidney Disease and Diabetes: A Retrospective Cohort Study
    Kam Wa Chan, Tak Yee Chow, Kam Yan Yu, Yibin Feng, Lixing Lao, Zhaoxiang Bian, Vivian Taam Wong, Sydney Chi-Wai Tang
    The American Journal of Chinese Medicine.2022; 50(02): 371.     CrossRef
  • Association Between SGLT2 Inhibitors vs DPP4 Inhibitors and Renal Outcomes Among Patients With Type 2 Diabetes
    Philip C M Au, Kathryn C B Tan, Bernard M Y Cheung, Ian C K Wong, Hang-Long Li, Ching-Lung Cheung
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(7): e2962.     CrossRef
  • Association Between Team-Based Continuity of Care and Risk of Cardiovascular Diseases Among Patients With Diabetes: A Retrospective Cohort Study
    Kam Suen Chan, Eric Yuk Fai Wan, Weng Yee Chin, Esther Yee Tak Yu, Ivy Lynn Mak, Will Ho Gi Cheng, Margaret Kay Ho, Cindy Lo Kuen Lam
    Diabetes Care.2022; 45(5): 1162.     CrossRef
  • mRNA (BNT162b2) and Inactivated (CoronaVac) COVID-19 Vaccination and Risk of Adverse Events and Acute Diabetic Complications in Patients with Type 2 Diabetes Mellitus: A Population-Based Study
    Eric Yuk Fai Wan, Celine Sze Ling Chui, Anna Hoi Ying Mok, Wanchun Xu, Vincent Ka Chun Yan, Francisco Tsz Tsun Lai, Xue Li, Carlos King Ho Wong, Esther Wai Yin Chan, David Tak Wai Lui, Kathryn Choon Beng Tan, Ivan Fan Ngai Hung, Cindy Lo Kuen Lam, Gabriel
    Drug Safety.2022; 45(12): 1477.     CrossRef
  • Evaluation of Fracture Risk Among Patients With Type 2 Diabetes and Nonvalvular Atrial Fibrillation Receiving Different Oral Anticoagulants
    David Tak Wai Lui, Eric Ho Man Tang, Ivan Chi Ho Au, Tingting Wu, Chi Ho Lee, Chun Ka Wong, Chloe Yu Yan Cheung, Carol Ho Yi Fong, Wing Sun Chow, Yu Cho Woo, Kathryn Choon Beng Tan, Karen Siu Ling Lam, Carlos King Ho Wong
    Diabetes Care.2022; 45(11): 2620.     CrossRef
  • Ten-Year Effectiveness of the Multidisciplinary Risk Assessment and Management Programme–Diabetes Mellitus (RAMP-DM) on Macrovascular and Microvascular Complications and All-Cause Mortality: A Population-Based Cohort Study
    Eric Ho Man Tang, Ivy Lynn Mak, Emily Tsui Yee Tse, Eric Yuk Fai Wan, Esther Yee Tak Yu, Julie Yun Chen, Weng Yee Chin, David Vai Kiong Chao, Wendy Wing Sze Tsui, Tony King Hang Ha, Carlos King Ho Wong, Cindy Lo Kuen Lam
    Diabetes Care.2022; 45(12): 2871.     CrossRef
  • An Intervention to Change Illness Representations and Self-Care of Individuals With Type 2 Diabetes: A Randomized Controlled Trial
    Virginia W.Y. Chan, Alice P.S. Kong, Joseph T.F. Lau, Winnie W.S. Mak, Linda D. Cameron, Phoenix K.H. Mo
    Psychosomatic Medicine.2021; 83(1): 71.     CrossRef
  • Risk of mortality and complications in patients with schizophrenia and diabetes mellitus: population-based cohort study
    Joe Kwun Nam Chan, Corine Sau Man Wong, Philip Chi Fai Or, Eric Yu Hai Chen, Wing Chung Chang
    The British Journal of Psychiatry.2021; 219(1): 375.     CrossRef
  • Screening for diabetic retinopathy with different levels of financial incentive in a randomized controlled trial
    Jin Xiao Lian, Sarah Morag McGhee, Ching So, Alfred Siu Kei Kwong, Rita Sum, Wendy Wing Sze Tsui, David Vai Kiong Chao, Jonathan Cheuk Hung Chan
    Journal of Diabetes Investigation.2021; 12(9): 1632.     CrossRef
  • Greater variability in lipid measurements associated with kidney diseases in patients with type 2 diabetes mellitus in a 10-year diabetes cohort study
    Eric Yuk Fai Wan, Esther Yee Tak Yu, Weng Yee Chin, Christie Sze Ting Lau, Anna Hoi Ying Mok, Yuan Wang, Ian Chi Kei Wong, Esther Wai Yin Chan, Cindy Lo Kuen Lam
    Scientific Reports.2021;[Epub]     CrossRef
  • Development and validation of the CHIME simulation model to assess lifetime health outcomes of prediabetes and type 2 diabetes in Chinese populations: A modeling study
    Jianchao Quan, Carmen S. Ng, Harley H. Y. Kwok, Ada Zhang, Yuet H. Yuen, Cheung-Hei Choi, Shing-Chung Siu, Simon Y. Tang, Nelson M. Wat, Jean Woo, Karen Eggleston, Gabriel M. Leung, Weiping Jia
    PLOS Medicine.2021; 18(6): e1003692.     CrossRef
  • Age‐Specific Associations of Usual Blood Pressure Variability With Cardiovascular Disease and Mortality: 10‐Year Diabetes Mellitus Cohort Study
    Eric Yuk Fai Wan, Esther Yee Tak Yu, Weng Yee Chin, Jessica K. Barrett, Ian Chi Kei Wong, Esther Wai Yin Chan, Celine Sze Ling Chui, Shiqi Chen, Cindy Lo Kuen Lam
    Journal of the American Heart Association.2021;[Epub]     CrossRef
  • Diabetes complication burden and patterns and risk of mortality in people with schizophrenia and diabetes: A population-based cohort study with 16-year follow-up
    Joe Kwun Nam Chan, Corine Sau Man Wong, Philip Chi Fai Or, Eric Yu Hai Chen, Wing Chung Chang
    European Neuropsychopharmacology.2021; 53: 79.     CrossRef
  • Age‐specific associations of glycated haemoglobin variability with cardiovascular disease and mortality in patients with type 2 diabetes mellitus: A 10‐ year cohort study
    Eric Yuk Fai Wan, Esther Yee Tak Yu, Weng Yee Chin, Florence Ting Yan Ng, Shu Ming Cheryl Chia, Ian Chi Kei Wong, Esther Wai Yin Chan, Cindy Lo Kuen Lam
    Diabetes, Obesity and Metabolism.2020; 22(8): 1316.     CrossRef
  • The Impact of Cardiovascular Disease and Chronic Kidney Disease on Life Expectancy and Direct Medical Cost in a 10-Year Diabetes Cohort Study
    Eric Yuk Fai Wan, Weng Yee Chin, Esther Yee Tak Yu, Ian Chi Kei Wong, Esther Wai Yin Chan, Shirley Xue Li, Nico Kwan Lok Cheung, Yuan Wang, Cindy Lo Kuen Lam
    Diabetes Care.2020; 43(8): 1750.     CrossRef
  • Greater variability in lipid measurements associated with cardiovascular disease and mortality: A 10‐year diabetes cohort study
    Eric Y. F. Wan, Esther Y. T. Yu, Weng Y. Chin, Jessica K. Barrett, Anna H. Y. Mok, Christie S. T. Lau, Yuan Wang, Ian C. K. Wong, Esther W. Y. Chan, Cindy L. K. Lam
    Diabetes, Obesity and Metabolism.2020; 22(10): 1777.     CrossRef
  • Age at diagnosis, glycemic trajectories, and responses to oral glucose-lowering drugs in type 2 diabetes in Hong Kong: A population-based observational study
    Calvin Ke, Thérèse A. Stukel, Baiju R. Shah, Eric Lau, Ronald C. Ma, Wing-Yee So, Alice P. Kong, Elaine Chow, Juliana C. N. Chan, Andrea Luk, Sanjay Basu
    PLOS Medicine.2020; 17(9): e1003316.     CrossRef
  • Age‐Specific Associations Between Systolic Blood Pressure and Cardiovascular Disease: A 10‐Year Diabetes Mellitus Cohort Study
    Eric Yuk Fai Wan, Esther Yee Tak Yu, Weng Yee Chin, Ian Chi Kei Wong, Esther Wai Yin Chan, Shiqi Chen, Cindy Lo Kuen Lam
    Journal of the American Heart Association.2020;[Epub]     CrossRef
  • Associations between usual glycated haemoglobin and cardiovascular disease in patients with type 2 diabetes mellitus: A 10‐year diabetes cohort study
    Eric YF Wan, Esther YT Yu, Julie Y Chen, Ian CK Wong, Esther WY Chan, Cindy LK Lam
    Diabetes, Obesity and Metabolism.2020; 22(12): 2325.     CrossRef
  • Cultural adaptation and psychometric properties of the Chinese Burden of Treatment Questionnaire (C-TBQ) in primary care patients with multi-morbidity
    Weng Yee Chin, Carlos King Ho Wong, Cherry Cheuk Wai Ng, Edmond Pui Hang Choi, Cindy Lo Kuen Lam
    Family Practice.2019; 36(5): 657.     CrossRef
  • Association of Blood Pressure and Risk of Cardiovascular and Chronic Kidney Disease in Hong Kong Hypertensive Patients
    Eric Yuk Fai Wan, Esther Yee Tak Yu, Weng Yee Chin, Daniel Yee Tak Fong, Edmond Pui Hang Choi, Cindy Lo Kuen Lam
    Hypertension.2019; 74(2): 331.     CrossRef
  • Burden of CKD and Cardiovascular Disease on Life Expectancy and Health Service Utilization: a Cohort Study of Hong Kong Chinese Hypertensive Patients
    Eric Yuk Fai Wan, Esther Yee Tak Yu, Weng Yee Chin, Daniel Yee Tak Fong, Edmond Pui Hang Choi, Eric Ho Man Tang, Cindy Lo Kuen Lam
    Journal of the American Society of Nephrology.2019; 30(10): 1991.     CrossRef
  • Effect of Achieved Systolic Blood Pressure on Cardiovascular Outcomes in Patients With Type 2 Diabetes: A Population-Based Retrospective Cohort Study
    Eric Yuk Fai Wan, Esther Yee Tak Yu, Weng Yee Chin, Colman Siu Cheung Fung, Daniel Yee Tak Fong, Edmond Pui Hang Choi, Anca Ka Chun Chan, Cindy Lo Kuen Lam
    Diabetes Care.2018; 41(6): 1134.     CrossRef
  • Evolution of Diabetes Care in Hong Kong: From the Hong Kong Diabetes Register to JADE-PEARL Program to RAMP and PEP Program
    Ivy H.Y. Ng, Kitty K.T. Cheung, Tiffany T.L. Yau, Elaine Chow, Risa Ozaki, Juliana C.N. Chan
    Endocrinology and Metabolism.2018; 33(1): 17.     CrossRef
  • Relation between HbA1c and incident cardiovascular disease over a period of 6 years in the Hong Kong population
    E.Y.F. Wan, E.Y.T. Yu, C.S.C. Fung, W.Y. Chin, D.Y.T. Fong, A.K.C. Chan, C.L.K. Lam
    Diabetes & Metabolism.2018; 44(5): 415.     CrossRef
  • Five-Year Effectiveness of the Multidisciplinary Risk Assessment and Management Programme–Diabetes Mellitus (RAMP-DM) on Diabetes-Related Complications and Health Service Uses—A Population-Based and Propensity-Matched Cohort Study
    Eric Yuk Fai Wan, Colman Siu Cheung Fung, Fang Fang Jiao, Esther Yee Tak Yu, Weng Yee Chin, Daniel Yee Tak Fong, Carlos King Ho Wong, Anca Ka Chun Chan, Karina Hiu Yen Chan, Ruby Lai Ping Kwok, Cindy Lo Kuen Lam
    Diabetes Care.2018; 41(1): 49.     CrossRef
  • Do We Need a Patient-Centered Target for Systolic Blood Pressure in Hypertensive Patients With Type 2 Diabetes Mellitus?
    Eric Yuk Fai Wan, Esther Yee Tak Yu, Colman Siu Cheung Fung, Weng Yee Chin, Daniel Yee Tak Fong, Anca Ka Chun Chan, Cindy Lo Kuen Lam
    Hypertension.2017; 70(6): 1273.     CrossRef
Original Articles
Clinical Care/Education
Clinical Evaluation of OneTouch Diabetes Management Software System in Patients with Type 2 Diabetes Mellitus
Jung Min Kim, Hey Jean Lee, Keum Ok Kim, Jong Chul Won, Kyung Soo Ko, Byung Doo Rhee
Diabetes Metab J. 2016;40(2):129-139.   Published online April 5, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.2.129
  • 4,838 View
  • 40 Download
  • 5 Web of Science
  • 5 Crossref
AbstractAbstract PDFPubReader   
Background

OneTouch Diabetes Management Software (OTDMS) is an efficient way to track and monitor the blood glucose level. It is possible to download data from the OneTouch Ultra via the meter's data port, and to transform the numbers of the blood glucose level into a graph, a chart, or statistics. The objectives of this study were to evaluate whether the use of OTDMS in consultation hours would improve patients' knowledge of diabetes mellitus (DM), compliance, satisfaction with doctor and medical treatment, doctor-patient reliability, and glucose control.

Methods

All patients were randomized into either the OTDMS group using OneTouch Ultra or the control groups not using it. Both groups had conventional DM education and only the OTDMS group used data from OTDMS as explanation materials during consultation hours. At enrollment and after 6 months, we performed a questionnaire survey consisting of the diabetes knowledge test, items for compliance of treatment, patient's satisfaction, doctor-patient reliability, and glycosylated hemoglobin (HbA1c).

Results

We analyzed 6-month follow-up data from 92 patients (OTDMS 42 vs. control 50). Both groups showed significant improvements in HbA1c, diabetes knowledge, compliance, reliability, and satisfaction after 6 months. However, there were no significant differences between OTDMS and control groups overall. Only "weekly frequency of checking blood glucose level" of compliance and "trying to follow doctor's order" of reliability showed better results in the OTDMS group.

Conclusion

Using the OTDMS system for explanation during consultation hours seems to be more helpful to improve patient's compliance and reliability, especially for checking blood glucose level and trying to follow the doctor's order.

Citations

Citations to this article as recorded by  
  • Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes
    Kristin J Konnyu, Sharlini Yogasingam, Johanie Lépine, Katrina Sullivan, Mostafa Alabousi, Alun Edwards, Michael Hillmer, Sathya Karunananthan, John N Lavis, Stefanie Linklater, Braden J Manns, David Moher, Sameh Mortazhejri, Samir Nazarali, P. Alison Pap
    Cochrane Database of Systematic Reviews.2023;[Epub]     CrossRef
  • Emerging technologies for the management of type 2 diabetes mellitus
    Nirali A. Shah, Carol J. Levy
    Journal of Diabetes.2021; 13(9): 713.     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
  • Impact of initial active engagement in self-monitoring with a telemonitoring device on glycemic control among patients with type 2 diabetes
    Min-Kyung Lee, Kwang-Hyeon Lee, Seung-Hyun Yoo, Cheol-Young Park
    Scientific Reports.2017;[Epub]     CrossRef
  • Potential of OneTouch Diabetes Management Software System in Real Field for Korean Type 2 Diabetes Patients
    Borami Kang, Jae Hyoung Cho
    Diabetes & Metabolism Journal.2016; 40(2): 115.     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 Metab J. 2015;39(3):207-217.   Published online April 22, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.3.207
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AbstractAbstract PDFPubReader   
Background

We developed for the first time a smartphone application designed for diabetes self-management in Korea and registered a patent for the relevant algorithm. We also investigated the user satisfaction with the application and the change in diabetes related self-care activities after using the application.

Methods

We conducted a questionnaire survey on volunteers with diabetes who were using the application. Ninety subjects responded to the questionnaire between June 2012 and March 2013. A modified version of the Summary of Diabetes Self-Care Activities (SDSCA) was used in this study.

Results

The survey results exhibited a mean subject age of 44.0 years old, and males accounted for 78.9% of the subjects. Fifty percent of the subjects had diabetes for less than 3 years. The majority of respondents experienced positive changes in their clinical course after using the application (83.1%) and were satisfied with the structure and completeness of the application (86.7%). Additionally, the respondents' answers indicated that the application was easy to use (96.7%) and recommendable to others (97.7%) and that they would continue using the application to manage their diabetes (96.7%). After using the Diabetes Notepad application, diabetes related self-care activities assessed by SDSCA displayed statistically significant improvements (P<0.05), except for the number of days of drinking.

Conclusion

This smartphone-based application can be a useful tool leading to positive changes in diabetes related self-care activities and increase user satisfaction.

Citations

Citations to this article as recorded by  
  • 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
  • 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
  • Relationship between Diabetes Self-Management and the Use of Health Care Apps: A Cross-Sectional Study
    Satoshi Inagaki, Kenji Kato, Kozue Abe, Hiroaki Takahashi, Tomokazu Matsuda
    ACI Open.2023; 07(01): e23.     CrossRef
  • The effect of mHealth program on behavior modification and health outcomes among patients with diabetes: A randomized controlled trial study
    Mohd Khairul Zul Hasymi Firdaus, Piyanuch Jittanoon, Umaporn Boonyasopun, Muhammad Kamil Che Hasan
    Belitung Nursing Journal.2023; 9(5): 437.     CrossRef
  • Clinical Effects of a Home Care Pilot Program for Patients with Type 1 Diabetes Mellitus: A Retrospective Cohort Study
    Sejeong Lee, KyungYi Kim, Ji Eun Kim, Yura Hyun, Minyoung Lee, Myung-Il Hahm, Sang Gyu Lee, Eun Seok Kang
    Diabetes & Metabolism Journal.2023; 47(5): 693.     CrossRef
  • Mobile-Based Application Interventions to Enhance Cancer Control and Care in Low- and Middle-Income Countries: A Systematic Review
    Andrew Donkor, Jennifer Akyen Ayitey, Prince Nyansah Adotey, Esther Oparebea Ofori, Doris Kitson-Mills, Verna Vanderpuye, Samuel Yaw Opoku, Tim Luckett, Meera R. Agar, Penelope Engel-Hills
    International Journal of Public Health.2023;[Epub]     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
  • Personalized Nutrition for the Prevention and Treatment of Metabolic Diseases: Opportunities and Perspectives
    I. N. Napolsky, P. V. Popova
    Russian Journal for Personalized Medicine.2022; 2(1): 15.     CrossRef
  • The effect of a mobile application on the foot care of individuals with type 2 diabetes: A randomised controlled study
    Berna Dincer, Nefise Bahçecik
    Health Education Journal.2021; 80(4): 425.     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
  • Diabetology 4.0: Scoping Review of Novel Insights and Possibilities Offered by Digitalization
    Claudia Eberle, Stefanie Stichling, Maxine Löhnert
    Journal of Medical Internet Research.2021; 23(3): e23475.     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
  • A Personalized Mobile Health Program for Type 2 Diabetes During the COVID-19 Pandemic: Single-Group Pre–Post Study
    Ian Yi Han Ang, Kyle Xin Quan Tan, Clive Tan, Chiew Hoon Tan, James Wei Ming Kwek, Joanne Tay, Sue Anne Toh
    JMIR Diabetes.2021; 6(3): e25820.     CrossRef
  • The use of mobile health interventions for gestational diabetes mellitus: a descriptive literature review
    Maryam Zahmatkeshan, Somayyeh Zakerabasali, Mojtaba Farjam, Yousef Gholampour, Maryam Seraji, Azita Yazdani
    Journal of Medicine and Life.2021; 14(2): 131.     CrossRef
  • Methods and Measures Used to Evaluate Patient-Operated Mobile Health Interventions: Scoping Literature Review
    Meghan Bradway, Elia Gabarron, Monika Johansen, Paolo Zanaboni, Patricia Jardim, Ragnar Joakimsen, Louise Pape-Haugaard, Eirik Årsand
    JMIR mHealth and uHealth.2020; 8(4): e16814.     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
  • Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review
    Dillys Larbi, Pietro Randine, Eirik Årsand, Konstantinos Antypas, Meghan Bradway, Elia Gabarron
    Journal of Medical Internet Research.2020; 22(7): e18480.     CrossRef
  • Evaluating the effect of a smartphone app-based self-management program for people with COPD: A randomized controlled trial
    Soo Kyung Park, Cho Hee Bang, Seung Hyeun Lee
    Applied Nursing Research.2020; 52: 151231.     CrossRef
  • Development of an mHealth application for family carers of people with dementia: A study protocol
    Sarath Rathnayake, Wendy Moyle, Cindy Jingwen Jones, Pauline Calleja
    Collegian.2019; 26(2): 295.     CrossRef
  • Use of Weight-Management Mobile Phone Apps in Saudi Arabia: A Web-Based Survey
    Ghadeer S Aljuraiban
    JMIR mHealth and uHealth.2019; 7(2): e12692.     CrossRef
  • Appropriate Medical Technology in the Era of the 4th Industrial Revolution
    Sang Youl Rhee
    The Korean Journal of Medicine.2019; 94(5): 387.     CrossRef
  • Popular Diabetes Apps and the Impact of Diabetes App Use on Self-Care Behaviour: A Survey Among the Digital Community of Persons With Diabetes on Social Media
    Mihiretu M. Kebede, Claudia R. Pischke
    Frontiers in Endocrinology.2019;[Epub]     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
  • Usability of a Disease Management Mobile Application as Perceived by Patients With Diabetes
    Roqaieh Janatkhah, Rasoul Tabari-Khomeiran, Attaolah Asadi-Louyeh, Ehsan Kazemnejad
    CIN: Computers, Informatics, Nursing.2019; 37(8): 413.     CrossRef
  • Structure and Characteristics of Diabetes Self-management Applications
    Sara Angelini, Gregorio Marco Alicastro, Sara Dionisi, Marco Di Muzio
    CIN: Computers, Informatics, Nursing.2019; 37(7): 340.     CrossRef
  • Digital Health Transformation of Integrated Care in Europe: Overarching Analysis of 17 Integrated Care Programs
    Erik Baltaxe, Thomas Czypionka, Markus Kraus, Miriam Reiss, Jan Erik Askildsen, Renata Grenkovic, Tord Skogedal Lindén, János György Pitter, Maureen Rutten-van Molken, Oscar Solans, Jonathan Stokes, Verena Struckmann, Josep Roca, Isaac Cano
    Journal of Medical Internet Research.2019; 21(9): e14956.     CrossRef
  • A Mobile Prenatal Care App to Reduce In-Person Visits: Prospective Controlled Trial
    Kathryn I Marko, Nihar Ganju, Jill M Krapf, Nancy D Gaba, James A Brown, Joshua J Benham, Julia Oh, Lorna M Richards, Andrew C Meltzer
    JMIR mHealth and uHealth.2019; 7(5): e10520.     CrossRef
  • Users’ preferences and design recommendations to promote engagements with mobile apps for diabetes self-management: Multi-national perspectives
    Mary D. Adu, Usman H. Malabu, Aduli E. O. Malau-Aduli, Bunmi S. Malau-Aduli, Simone Borsci
    PLOS ONE.2018; 13(12): e0208942.     CrossRef
  • Developing and Clinical Application of a Smartphone Mobile Mood Chart Application in Korean for Patients with Bipolar Disorder
    Kayoung Song, Saejeong Lee, Woon Yoon, Changyoon Kim, Yeonho Joo, Jungsun Lee, Myong-Wuk Chon
    Journal of Korean Neuropsychiatric Association.2018; 57(3): 244.     CrossRef
  • mHealth Tools for the Self-Management of Patients With Multimorbidity in Primary Care Settings: Pilot Study to Explore User Experience
    Anum Irfan Khan, Ashlinder Gill, Cheryl Cott, Parminder Kaur Hans, Carolyn Steele Gray
    JMIR mHealth and uHealth.2018; 6(8): e171.     CrossRef
  • Rules of engagement in mobile health: what does mobile health bring to research and theory?
    Cigdem Sahin
    Contemporary Nurse.2018; 54(4-5): 374.     CrossRef
  • Diabetes Mellitus m-Health Applications: A Systematic Review of Features and Fundamentals
    Ericles Andrei Bellei, Daiana Biduski, Nathália Pinto Cechetti, Ana Carolina Bertoletti De Marchi
    Telemedicine and e-Health.2018; 24(11): 839.     CrossRef
  • Current Status and Effects of Nutrition Education Programs for Diabetic Patients in Korea
    Hae Jin Kang
    The Journal of Korean Diabetes.2018; 19(2): 106.     CrossRef
  • Mobile direct observation of therapy (MDOT) - A rapid systematic review and pilot study in children with asthma
    Michael D. Shields, Fahad ALQahtani, Michael P. Rivey, James C. McElnay, Jacobus P. van Wouwe
    PLOS ONE.2018; 13(2): e0190031.     CrossRef
  • App-basiertes Selbstmonitoring bei Typ-2-Diabetes
    A. Steinert, M. Haesner, E. Steinhagen-Thiessen
    Zeitschrift für Gerontologie und Geriatrie.2017; 50(6): 516.     CrossRef
  • Smartphone App Use for Diabetes Management: Evaluating Patient Perspectives
    Kirstie Lithgow, Alun Edwards, Doreen Rabi
    JMIR Diabetes.2017; 2(1): e2.     CrossRef
  • Needs for Development of IT-based Nutritional Management Program for Women with Gestational Diabetes Mellitus
    Chan-Jung Han, Sun-Young Lim, Eunsuk Oh, Yoon-Hee Choi, Kun-Ho Yoon, Jin-Hee Lee
    Korean Journal of Community Nutrition.2017; 22(3): 207.     CrossRef
  • Semantic representation and processing of hypoglycemic events derived from wearable sensor data
    Jean-Paul Calbimonte, Jean-Eudes Ranvier, Fabien Dubosson, Karl Aberer, Antonis Bikakis, Thanos G. Stavropoulos, Georgios Meditskos
    Journal of Ambient Intelligence and Smart Environments.2017; 9(1): 97.     CrossRef
  • Acceptability and Feasibility of a Smartphone Application for 5th, 6th Grade Elementary Students to Prevent Childhood Obesity; a Qualitative Study
    Ji-Hye Jung, Young-Gyu Cho, Da-Ye Ji, Jae-Heon Kang
    Korean Journal of Health Promotion.2016; 16(4): 251.     CrossRef
  • m-santé francophone et diabète : mise au point
    M. Halbron, M. Joubert, E. Sonnet
    Médecine des Maladies Métaboliques.2016; 10(3): 243.     CrossRef
  • Successful weight reduction and maintenance by using a smartphone application in those with overweight and obesity
    Sang Ouk Chin, Changwon Keum, Junghoon Woo, Jehwan Park, Hyung Jin Choi, Jeong-taek Woo, Sang Youl Rhee
    Scientific Reports.2016;[Epub]     CrossRef
  • The Wills Eye Glaucoma App: Interest of Patients and Their Caregivers in a Smartphone-based and Tablet-based Glaucoma Application
    Michael Waisbourd, Hermandeep Dhami, Chen Zhou, Michael Hsieh, Pramod Abichandani, Michael J. Pro, Marlene R. Moster, L. Jay Katz, Lisa A. Hark, Jonathan S. Myers
    Journal of Glaucoma.2016; 25(9): e787.     CrossRef
  • Testing the Feasibility of Remote Patient Monitoring in Prenatal Care Using a Mobile App and Connected Devices: A Prospective Observational Trial
    Kathryn I Marko, Jill M Krapf, Andrew C Meltzer, Julia Oh, Nihar Ganju, Anjali G Martinez, Sheetal G Sheth, Nancy D Gaba
    JMIR Research Protocols.2016; 5(4): e200.     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
  • Efficacy of a New Medical Information system, Ubiquitous Healthcare Service with Voice Inception Technique in Elderly Diabetic Patients
    Kyoung Min Kim, Kyeong Seon Park, Hyun Ju Lee, Yun Hee Lee, Ji Seon Bae, Young Joon Lee, Sung Hee Choi, Hak Chul Jang, Soo Lim
    Scientific Reports.2015;[Epub]     CrossRef
  • Six-month Outcomes of Mobile Phone Application-based Self-management in a Patient with Type 2 Diabetes
    Mi Kyeong Hong, Young Yun Cho, Mi Yong Rha, Jae Hyeon Kim, Moon-Kyu Lee
    Clinical Nutrition Research.2015; 4(3): 201.     CrossRef
  • Physical Activity Capture Technology With Potential for Incorporation Into Closed-Loop Control for Type 1 Diabetes
    Vikash Dadlani, James A. Levine, Shelly K. McCrady-Spitzer, Eyal Dassau, Yogish C. Kudva
    Journal of Diabetes Science and Technology.2015; 9(6): 1208.     CrossRef
Education as Prescription for Patients with Type 2 Diabetes Mellitus: Compliance and Efficacy in Clinical Practice
Mi Yeon Kim, Sunghwan Suh, Sang-Man Jin, Se Won Kim, Ji Cheol Bae, Kyu Yeon Hur, Sung Hye Kim, Mi Yong Rha, Young Yun Cho, Myung-Shik Lee, Moon Kyu Lee, Kwang-Won Kim, Jae Hyeon Kim
Diabetes Metab J. 2012;36(6):452-459.   Published online December 12, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.6.452
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AbstractAbstract PDFPubReader   
Background

Diabetes self-management education has an important role in diabetes management. The efficacy of education has been proven in several randomized trials. However, the status of diabetes education programs in real Korean clinical practice has not yet been evaluated in terms of patient compliance with the education prescription.

Methods

We retrospectively analyzed clinical and laboratory data from all patients who were ordered to undergo diabetes education during 2009 at Samsung Medical Center, Seoul, Korea (n=2,291). After excluding ineligible subjects, 588 patients were included in the analysis.

Results

Among the 588 patients, 433 received education. The overall compliance rate was 73.6%, which was significantly higher in the subjects with a short duration or living in a rural area compared to those with a long duration (85.0% vs. 65.1%, respectively; P<0.001) or living in an urban area (78.2% vs. 70.4%, respectively; P=0.037). The hemoglobin A1c decreased greater in the compliant group (from 7.84±1.54 at baseline to 6.79±1.06 at 3 months and 6.97±1.20 at 12 months after prescription in the compliant group vs. from 7.74±1.25 to 7.14±1.02 and 7.24±1.24 in the non-compliant group; P=0.001). The decrease in hemoglobin A1c was greater in the subjects with a short duration (P=0.032).

Conclusion

In our study a large percent of patients refuse to get education despite having a prescription from their physician. This refusal rate was higher in the patients with long-standing diabetes or in urban residence. Furthermore, education was more effective in patients with a short duration of diabetes in clinical practice.

Citations

Citations to this article as recorded by  
  • Clinical Effects of a Home Care Pilot Program for Patients with Type 1 Diabetes Mellitus: A Retrospective Cohort Study
    Sejeong Lee, KyungYi Kim, Ji Eun Kim, Yura Hyun, Minyoung Lee, Myung-Il Hahm, Sang Gyu Lee, Eun Seok Kang
    Diabetes & Metabolism Journal.2023; 47(5): 693.     CrossRef
  • 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
  • The Effectiveness of Multidisciplinary Team-Based Education in the Management of Type 2 Diabetes
    Jong Ho Kim, Yun Jeong Nam, Won Jin Kim, Kyung Ah Lee, A Ran Baek, Jung Nam Park, Jin Mi Kim, Seo Young Oh, Eun Heui Kim, Min Jin Lee, Yun Kyung Jeon, Bo Hyun Kim, In Joo Kim, Yong Ki Kim, Sang Soo Kim
    The Journal of Korean Diabetes.2018; 19(2): 119.     CrossRef
  • The diabetes self-management educational programs and their integration in the usual care: A systematic literature review
    Emmanuel Kumah, Giulia Sciolli, Maria Laura Toraldo, Anna Maria Murante
    Health Policy.2018; 122(8): 866.     CrossRef
  • Diabetes Camp as Continuing Education for Diabetes Self-Management in Middle-Aged and Elderly People with Type 2 Diabetes Mellitus
    So Young Park, Sun Young Kim, Hye Mi Lee, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee, Kang-Hee Sim, Sang-Man Jin
    Diabetes & Metabolism Journal.2017; 41(2): 99.     CrossRef
  • Educational attainment moderates the associations of diabetes education with health outcomes
    Su Hyun Kim
    International Journal of Nursing Practice.2016; 22(5): 444.     CrossRef
  • Experiences of Diabetes Education among Educators of Diabetes : a content analysis approach
    Soo Jin Kang, Soo Jung Chang
    Journal of Korean Public Health Nursing.2016; 30(2): 221.     CrossRef
  • Barrier Factors to the Completion of Diabetes Education in Korean Diabetic Adult Patients: Korea National Health and Nutrition Examination Surveys 2007-2012
    Hee-Tae Kim, Kiheon Lee, Se Young Jung, Seung-Min Oh, Su-Min Jeong, Yoon-Jung Choi
    Korean Journal of Family Medicine.2015; 36(5): 203.     CrossRef
  • Determinants of glycaemic control in a practice setting: the role of weight loss and treatment adherence (The DELTA Study)
    C. McAdam‐Marx, B. K. Bellows, S. Unni, J. Mukherjee, G. Wygant, U. Iloeje, J. N. Liberman, X. Ye, F. J. Bloom, D. I. Brixner
    International Journal of Clinical Practice.2014; 68(11): 1309.     CrossRef
  • Health education via mobile text messaging for glycemic control in adults with type 2 diabetes: A systematic review and meta-analysis
    Mohsen Saffari, Ghader Ghanizadeh, Harold G. Koenig
    Primary Care Diabetes.2014; 8(4): 275.     CrossRef
  • The Appropriateness of the Length of Insulin Needles Based on Determination of Skin and Subcutaneous Fat Thickness in the Abdomen and Upper Arm in Patients with Type 2 Diabetes
    Kang Hee Sim, Moon Sook Hwang, Sun Young Kim, Hye Mi Lee, Ji Yeun Chang, Moon Kyu Lee
    Diabetes & Metabolism Journal.2014; 38(2): 120.     CrossRef
  • Diabetes Attitudes, Wishes and Needs second study (DAWN2™): Cross‐national benchmarking of diabetes‐related psychosocial outcomes for people with diabetes
    A. Nicolucci, K. Kovacs Burns, R. I. G. Holt, M. Comaschi, N. Hermanns, H. Ishii, A. Kokoszka, F. Pouwer, S. E. Skovlund, H. Stuckey, I. Tarkun, M. Vallis, J. Wens, M. Peyrot
    Diabetic Medicine.2013; 30(7): 767.     CrossRef
Effect of Diabetes Education Program on Glycemic Control and Self Management for Patients with Type 2 Diabetes Mellitus.
Ji Hyun Kim, Sang Ah Chang
Korean Diabetes J. 2009;33(6):518-525.   Published online December 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.6.518
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AbstractAbstract PDF
BACKGROUND
Diabetes mellitus is a chronic disease requiring continuous treatment and vigorous self-management. Reinforcement of effective self management and diabetes education are important factors in successful treatment. The aim of this study was to evaluate the effectiveness of the current diabetes education program on blood glucose control, self-management, and self-efficacy of patients with type 2 diabetes mellitus. METHODS: A total of 592 patients with newly diagnosed or uncontrolled type 2 diabetes mellitus were recruited to the diabetes education program from January to December 2007. We surveyed 338 patients from April to July 2008. A total of 117 patients had biochemical examinations and completed a questionnaire about knowledge, self-management and self-efficacy of diabetes treatment (no education group (n = 23), education group (n = 94)). RESULTS: The total scores from the questionnaires and the results of laboratory data showed no differences between the two groups. However, there were significant reductions in hemoglobin A1c level in the education group, as compared with the no education group (P = 0.039). Although the score for knowledge about diabetes mellitus was significantly higher in the education group (P = 0.005), greater knowledge was not reflected in the self-management or self-efficacy of the patients. CONCLUSION: The current diabetes education program had no effect on the self-management or self-efficacy of patients with diabetes, although did show some degree of association with blood glucose control and diabetes knowledge level. We conclude that a more effective diabetes education program needs to be developed and applied to daily practice for the improvement ofself-efficacy in patients with diabetes mellitus.

Citations

Citations to this article as recorded by  
  • Factors Influencing the Dietary Behavior of Patients with Type 2 Diabetes Mellitus: A Cross-sectional Study
    Sohyun Jin, Youngshin Song
    Journal of Korean Academy of Fundamentals of Nursing.2024; 31(1): 80.     CrossRef
  • The Association between Diabetes Education and Glucose Control in Diabetic Patients: Using the 2008 and 2013 Korea National Health and Nutrition Examination Survey
    Ga Hyun Kim, Yoonhyung Park, Hee-Sook Lim
    Clinical Nutrition Research.2020; 9(2): 81.     CrossRef
  • Educational Needs Associated with the Level of Complication and Comparative Risk Perceptions in People with Type 2 Diabetes
    Youngji Hwang, Dongsuk Lee, Yeon Sook Kim
    Osong Public Health and Research Perspectives.2020; 11(4): 170.     CrossRef
  • Factors Affecting the Self-Management of Adolescents with Type 1 Diabetes Mellitus based on the Information-Motivation-Behavioral Skills Model
    Hooyun Lee, Eun Kyoung Choi, Heejung Kim, Ho-Seon Kim, Hee-Soon Kim
    Child Health Nursing Research.2019; 25(2): 234.     CrossRef
  • Experiences of Patients With a Diabetes Self-Care App Developed Based on the Information-Motivation-Behavioral Skills Model: Before-and-After Study
    Eunjoo Jeon, Hyeoun-Ae Park
    JMIR Diabetes.2019; 4(2): e11590.     CrossRef
  • The Role of Medical Social Worker Engaging in Diabetes Management
    Ga-Young Choi
    The Journal of Korean Diabetes.2019; 20(4): 251.     CrossRef
  • Effects of an Intensive Management Program for Diabetic Patients on a Blood Biochemical Profile and Diabetes Knowledge
    Su-Jeong Yeo, Bok-Hee Kim
    Korean Journal of Community Nutrition.2018; 23(2): 148.     CrossRef
  • Needs for Development of IT-based Nutritional Management Program for Women with Gestational Diabetes Mellitus
    Chan-Jung Han, Sun-Young Lim, Eunsuk Oh, Yoon-Hee Choi, Kun-Ho Yoon, Jin-Hee Lee
    Korean Journal of Community Nutrition.2017; 22(3): 207.     CrossRef
  • Understanding and Approaching Low Motivation in Young Adults with Diabetes Mellitus
    Yu Jeong Park
    The Journal of Korean Diabetes.2017; 18(2): 121.     CrossRef
  • 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 & Metabolism Journal.2017; 41(3): 187.     CrossRef
  • Effects of Health Literacy and Knowledge on Diabetic Self-care in the Elderly with DM Living Alone
    Nan Hui Kim, Youngran Yang, Myung Ha Lee
    Journal of Korean Academy of Community Health Nursing.2016; 27(4): 370.     CrossRef
  • The Current Strategic Direction of Diabetes Education: American Association of Diabetes Educators Yearly Strategic Plan 2016~2018
    Yu Jeong Park
    The Journal of Korean Diabetes.2016; 17(3): 196.     CrossRef
  • Research Review: Effective of Self-Management Education in Diabetes Patients
    Eun Chong Shin
    The Journal of Korean Diabetes.2016; 17(3): 185.     CrossRef
  • Self-Care and Related Factors in Young and Middle Adulthood Patients with Type 2 Diabetes
    Kyung Mee Jung, Sook Ja Lee, Eun Sook Park, Young Joo Park, Sin Gon Kim, Dong Seop Choi
    The Journal of Korean Diabetes.2015; 16(1): 65.     CrossRef
  • Psychometric Properties of the Diabetes Management Self-Efficacy Scale in Korean Patients with Type 2 Diabetes
    Eun-Hyun Lee, Jaap van der Bijl, Lillie M. Shortridge-Baggett, Seung Jin Han, Seung Hei Moon
    International Journal of Endocrinology.2015; 2015: 1.     CrossRef
  • Diabetes Education Compliance and Knowledge among Diabetes Patients: Analysis of Patients Who Refuse Diabetes Education at an Academic Medical Center
    Kang Hee Sim, Bo Ram Wang, Jin-Won Noh, Moon Kyu Lee, Young Dae Kwon
    The Journal of Korean Diabetes.2014; 15(1): 51.     CrossRef
  • Effects of Individual and Group Education Programs on Coping and Self-care Behaviors in Cancer Patients
    Young Mi Kim, Won Ock Kim, Sang Sook Han
    Journal of East-West Nursing Research.2014; 20(1): 1.     CrossRef
  • Role of Diabetes Educators and Effectiveness of Diabetes Education
    HeeSook Kim
    The Journal of Korean Diabetes.2013; 14(4): 194.     CrossRef
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    Ju-Young Park, Il-Sun Ko
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Comparison of the Effects between Positive Message and Negative Message in Diabetes Mellitus Education.
Bong Jo Lee, Mee Ock Gu
Korean Diabetes J. 2009;33(4):344-352.   Published online August 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.4.344
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AbstractAbstract PDF
BACKGROUND
Given the nature and chronicity of diabetes mellitus (DM), the role of self care and adequate patient education, in addition to the support of medical professional, is essential in its management. The aim of the present study was to compare the effects of positive messages and negative messages in DM education and to identify the superior method of motivation for self care behaviors. METHODS: A total of 99 DM patients (50 positive message group: 49 negative message group) at Gyeongsang National University Hospital participated in the study. The collected data were analyzed by Chi square and t-test. RESULTS: There were no significant differences in the attitude of messages and in the attitude of self care behaviors between the positive and negative message group, though the negative message group had a significantly higher intention of self care behaviors than did the positive message group. CONCLUSION: These results suggest that the negative messages are more effective than positive messages for increasing the intention of self care behaviors in patients with DM.

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    BMC Endocrine Disorders.2024;[Epub]     CrossRef
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    International Journal of Nursing Studies.2023; 142: 104491.     CrossRef
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    BMC Public Health.2023;[Epub]     CrossRef
  • The effects of health behaviours and beliefs based on message framing among patients with chronic diseases: a systematic review
    Ruitong Gao, Hui Guo, Fei Li, Yandi Liu, Meidi Shen, Linqi Xu, Tianzhuo Yu, Feng Li
    BMJ Open.2022; 12(1): e055329.     CrossRef
  • Effects of message framing on self-management behaviour among patients with type 2 diabetes: a randomised controlled trial protocol
    Ruitong Gao, Hui Guo, Yandi Liu, Yue Pang, Xin Zhang, Xiaoqian Lian, Tianyue Yu, Lanyu Zhu, Feng Li
    BMJ Open.2022; 12(6): e056450.     CrossRef
  • Effects of message framing and health literacy on intention to perform diabetes self-care: A randomized controlled trial
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    Asian Nursing Research.2015; 9(1): 73.     CrossRef
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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 J. 2009;33(1):58-64.   Published online February 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.1.58
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  • 5 Crossref
AbstractAbstract PDF
BACKGROUND
The need for a new healthcare system is growing due to the paradigm shift from health supervision to health maintenance. Previously, we performed a pilot study that examined the effectiveness of a ubiquitous healthcare (U-healthcare) diabetes management program which consists of self-monitoring of blood glucose (SMBG) and mobile phone services for elderly patients with type 2 diabetes mellitus. In this study, we investigated the effect of a diabetes management program using U-healthcare based on the self-care skills of elderly patients with diabetes mellitus. METHODS: From July to October 2005, 17 patients were recruited and provided with a blood glucometer with the ZigBee module and a mobile phone. In addition, the patients' understanding of diabetes self-care skills was examined at the beginning and end of the study. At the end of the study, we determined the level of patient satisfaction regarding U-healthcare services. RESULTS: The patients' test scores on their understanding of diabetes mellitus improved from 57.2 +/- 20.7 to 72.7 +/- 13.4%. Specifically, patient knowledge of the basic principles for a proper diabetic diet (52.9% vs. 82.4%, P = 0.046), foods that influence blood sugar level (41.2% vs. 76.5%, P = 0.007) and the influence of beverage choice (41.2% vs. 64.7%, P = 0.007), all increased. In addition, a significant increase in knowledge of living standards regarding diabetes mellitus was observed (64.7% vs. 88.2%, P = 0.0032). CONCLUSION: We conclude that the U-healthcare incorporating SMBG could be promising, as it improves self-management skills of diabetes mellitus patients, as well as their understanding of the disease.

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  • 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
  • Effectiveness of the Smart Care Service for Diabetes Management
    Young-Soon Chung, Yongsuk Kim, Chang Hee Lee
    Healthcare Informatics Research.2014; 20(4): 288.     CrossRef
  • Ubiquitous Healthcare Service Has the Persistent Benefit on Glycemic Control and Body Weight in Older Adults With Diabetes
    Seon Mee Kang, Min Joo Kim, Hwa Young Ahn, Ji Won Yoon, Min Kyong Moon, Hye Seung Jung, Sung Hee Choi, Soo Lim, Kyong Soo Park, Hak C. Jang
    Diabetes Care.2012; 35(3): e19.     CrossRef
  • Improved Glycemic Control Without Hypoglycemia in Elderly Diabetic Patients Using the Ubiquitous Healthcare Service, a New Medical Information System
    Soo Lim, Seon Mee Kang, Hayley Shin, Hak Jong Lee, Ji Won Yoon, Sung Hoon Yu, So-Youn Kim, Soo Young Yoo, Hye Seung Jung, Kyong Soo Park, Jun Oh Ryu, Hak C. Jang
    Diabetes Care.2011; 34(2): 308.     CrossRef
  • A Survey on Ubiquitous Healthcare Service Demand among Diabetic Patients
    Soo Lim, So-Youn Kim, Jung Im Kim, Min Kyung Kwon, Sei Jin Min, Soo Young Yoo, Seon Mee Kang, Hong Il Kim, Hye Seung Jung, Kyong Soo Park, Jun Oh Ryu, Hayley Shin, Hak Chul Jang
    Diabetes & Metabolism Journal.2011; 35(1): 50.     CrossRef

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