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Kang-Hee Sim  (Sim KH) 3 Articles
Clinical Care/Education
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 Metab J. 2017;41(2):99-112.   Published online March 3, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.2.99
  • 4,507 View
  • 44 Download
  • 3 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Despite the established benefits of diabetes camps for the continuing education of children with type 1 diabetes mellitus, little is known about the long-term metabolic benefits of diabetes camps for middle-aged and elderly people with type 2 diabetes mellitus (T2DM), especially in terms of glycosylated hemoglobin (HbA1c) variability.

Methods

The 1-year mean and variability of HbA1c before and after the diabetes camp was compared between the participants of the diabetes camp (n=57; median age 65 years [range, 50 to 86 years]; median diabetes duration 14 years [range, 1 to 48 years]). Additional case-control analysis compared the metabolic outcomes of the participants of the diabetes camp and their propensity score-matched controls who underwent conventional diabetes education (n=93).

Results

The levels of HbA1c during the first year after the diabetes camp were comparable to those of the matched controls (P=0.341). In an analysis of all participants of the diabetes camp, the 1-year mean±standard deviation (SD) of HbA1c decreased (P=0.010 and P=0.041) after the diabetes camp, whereas the adjusted SD and coefficient of variance (CV) of HbA1c did not decrease. The adjusted SD and CV significantly decreased after the diabetes camp in participants whose 1-year mean HbA1c was ≥6.5% before the diabetes camp (n=40) and those with a duration of diabetes less than 15 years (n=32).

Conclusion

The 1-year mean and SD of HbA1c decreased after the diabetes camp, with significant reduction in the adjusted SD and CV in those with higher baseline HbA1c and a shorter duration of diabetes.

Citations

Citations to this article as recorded by  
  • Older adults’ experiences of being at a senior summer camp—A phenomenographic study
    Veronika Wallroth, Kjerstin Larsson, Agneta Schröder
    Qualitative Social Work.2022; 21(5): 956.     CrossRef
  • Pushing for miracles, pulling away from risk: An ethnographic analysis of the force dynamics at Senior Summer Camps in Sweden
    Gabriella Nilsson, Lisa Ekstam, Janicke Andersson
    Journal of Aging Studies.2018; 47: 96.     CrossRef
Current Status of Management in Type 2 Diabetes Mellitus at General Hospitals in South Korea
Jin-Hee Jung, Jung-Hwa Lee, Jin-Won Noh, Jeong-Eun Park, Hee-Sook Kim, Joo-Wha Yoo, Bok-Rye Song, Jeong-rim Lee, Myeong-Hee Hong, Hyang-Mi Jang, Young Na, Hyun-Joo Lee, Jeong-Mi Lee, Yang-Gyo Kang, Sun-Young Kim, Kang-Hee Sim
Diabetes Metab J. 2015;39(4):307-315.   Published online August 17, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.307
  • 5,507 View
  • 38 Download
  • 14 Web of Science
  • 14 Crossref
AbstractAbstract PDFPubReader   
Background

In Korea, the prevalence, complications, and mortality rate of diabetes are rapidly increasing. However, investigations on the actual condition of diabetes management are very limited due to lack of nation-wide research or multicenter study. Hence, we have minutely inquired the current status of diabetes management and achievement of glucose target goal in general hospital offering education program. That way, we are able to furnish data for policy making of diabetes education and draw up guideline which may allow us to reduce the morbidity and mortality of diabetes.

Methods

The subjects consisted of 2,610 patients with type 2 diabetes who visited the 13 general hospital in Seoul or Gyeonggi region from March 19 to May 29, 2013. General characteristics, associated diseases, complications, and management status were investigated.

Results

The mean age was 61.0±11.6 years, body mass index was 25.0±3.3 kg/m2, and family history of diabetes was 50.5%. The mean duration of diabetes was 10.7±7.9 years and 53% received education about diabetes. The prevalence of hypertension and dyslipidemia were 59.2% and 65.5%, respectively, and 18.3% of the subjects were accompanied by liver disease. Diabetic retinopathy appeared in 31.6%, nephropathy in 28.1%, and neuropathy in 19.9% of the subjects. The mean glycosylated hemoglobin (HbA1c) level was 7.3%±1.3% and the achieving rate based on Korean Diabetes Association guideline (HbA1c <6.5%) was 24.8%, blood pressure (130/80 mm Hg or less) was 49.4%, and low density lipoprotein cholesterol (<100 mg/dL) was 63.6%. The reaching rate to the target level in four parameters (blood glucose, blood pressure, lipids, and body weight) was 7.8%.

Conclusion

The blood glucose control rate was lower than other parameters, and the implementation rate of diabetes education was only 53%. Thus more appropriate glucose control and systematic diabetes education are imperative.

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
  • 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
  • Hypoglycemic efficacy and safety of Momordica charantia (bitter melon) in patients with type 2 diabetes mellitus
    Soo Kyoung Kim, Jaehoon Jung, Jung Hwa Jung, NalAe Yoon, Sang Soo Kang, Gu Seob Roh, Jong Ryeal Hahm
    Complementary Therapies in Medicine.2020; 52: 102524.     CrossRef
  • Sociodemographic Factors Associated with Participation in Diabetes Education among Community-Dwelling Adults with Diabetes
    Young-Hoon Lee
    Yonsei Medical Journal.2020; 61(2): 169.     CrossRef
  • Antidiabetic Effects of Vigna nakashimae Extract in Humans: A Preliminary Study
    Soo Kyoung Kim, Jaehoon Jung, Jung Hwa Jung, Byong Won Lee, Sang Soo Kang, Gu Seob Roh, Jong Ryeal Hahm
    The Journal of Alternative and Complementary Medicine.2018; 24(3): 249.     CrossRef
  • Association of Self-Reported Dietary and Drug Compliance with Optimal Metabolic Control in Patients with Type 2 Diabetes: Clinic-Based Single-Center Study in a Developing Country
    Thilak Priyantha Weerarathna, Miyuru Kavinda Weerarathna, Vidarsha Senadheera, Herath Mudiyanselage Meththananda Herath, Gayani Liyanage
    Journal of Nutrition and Metabolism.2018; 2018: 1.     CrossRef
  • A comparison of effects of DPP-4 inhibitor and SGLT2 inhibitor on lipid profile in patients with type 2 diabetes
    Seon-Ah Cha, Yong-Moon Park, Jae-Seung Yun, Tae-Seok Lim, Ki-Ho Song, Ki-Dong Yoo, Yu-Bae Ahn, Seung-Hyun Ko
    Lipids in Health and Disease.2017;[Epub]     CrossRef
  • Effect of prescribing metformin according to eGFR instead of serum creatinine level: A study based on Korean National Health and Nutrition Examination Survey (KNHANES) 2009-2014
    Sun Joon Moon, Chang Ho Ahn, Young Min Cho, Tatsuo Shimosawa
    PLOS ONE.2017; 12(4): e0175334.     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
  • Features of Long-Standing Korean Type 2 Diabetes Mellitus Patients with Diabetic Retinopathy: A Study Based on Standardized Clinical Data
    Sejeong Park, Sang Youl Rhee, Su Jin Jeong, Kiyoung Kim, Suk Chon, Seung-Young Yu, Jeong-Taek Woo
    Diabetes & Metabolism Journal.2017; 41(5): 393.     CrossRef
  • Influencing Factors of Knowledge, Attitude, and Practice regarding Medical Nutrition Therapy in Patients with Diabetes: A National Cross-Sectional Study in Urban China
    Zijian Li, Haimin Jin, Wei Chen, Zilin Sun, Lulu Jing, Xiaohui Zhao, Sainan Zhu, Xiaohui Guo, China NEEDs Study Group
    Journal of Diabetes Research.2017; 2017: 1.     CrossRef
  • Factors Associated with Participation in Diabetes Education: The Korea National Health and Nutrition Examination Survey 2007 to 2009
    Jung Min Kim, Jae Won Hong, Jung Hyun Noh, Dong-Jun Kim
    Diabetes & Metabolism Journal.2016; 40(6): 447.     CrossRef
  • Health Performance and Challenges in Korea: a Review of the Global Burden of Disease Study 2013
    Yo Han Lee, Seok-Jun Yoon, Arim Kim, Hyeyoung Seo, Seulki Ko
    Journal of Korean Medical Science.2016; 31(Suppl 2): S114.     CrossRef
  • Diabetic Cardiovascular Autonomic Neuropathy Predicts Recurrent Cardiovascular Diseases in Patients with Type 2 Diabetes
    Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Kyoungil Min, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Yu-Bae Ahn, Seung-Hyun Ko, James M Wright
    PLOS ONE.2016; 11(10): e0164807.     CrossRef
A Randomized Controlled Trial of an Internet-Based Mentoring Program for Type 1 Diabetes Patients with Inadequate Glycemic Control
Sunghwan Suh, Cheol Jean, Mihyun Koo, Sun Young Lee, Min Ja Cho, Kang-Hee Sim, Sang-Man Jin, Ji Cheol Bae, Jae Hyeon Kim
Diabetes Metab J. 2014;38(2):134-142.   Published online April 18, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.2.134
  • 5,399 View
  • 53 Download
  • 22 Web of Science
  • 20 Crossref
AbstractAbstract PDFPubReader   
Background

To determine whether an internet-based mentoring program can improve glycemic control in subjects with type 1 diabetes mellitus (T1DM).

Methods

Subjects with T1DM on intensive insulin therapy and with hemoglobin A1c (HbA1c) ≥8.0% were randomized to mentored (glucometer transmission with feedback from mentors) or control (glucometer transmission without feedback) groups and were examined for 12 weeks. Five mentors were interviewed and selected, of which two were T1DM patients themselves and three were parents with at least one child diagnosed with T1DM since more than 5 years ago.

Results

A total of 57 T1DM adult subjects with a mean duration after being diagnosed with diabetes of 7.4 years were recruited from Samsung Medical Center. Unfortunately, the mentored group failed to show significant improvements in HbA1c levels or other outcomes, including the quality of life, after completion of the study. However, the mentored group monitored their blood glucose (1.41 vs. 0.30) and logged into our website (http://ubisens.co.kr/) more frequently (20.59 times vs. 5.07 times) than the control group.

Conclusion

A 12-week internet-based mentoring program for T1DM patients with inadequate glycemic control did not prove to be superior to the usual follow-up. However, the noted increase in the subjects' frequency of blood glucose monitoring may lead to clinical benefits.

Citations

Citations to this article as recorded by  
  • The Effectiveness of Telemedicine Solutions in Type 1 Diabetes Management: A Systematic Review and Meta-analysis
    Flemming Witt Udsen, Stine Hangaard, Clara Bender, Jonas Andersen, Thomas Kronborg, Peter Vestergaard, Ole Hejlesen, Sisse Laursen
    Journal of Diabetes Science and Technology.2023; 17(3): 782.     CrossRef
  • 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
  • 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
  • Evaluation of nurse‐led social media intervention for diabetes self‐management: A mixed‐method study
    Su Hyun Kim, Younghee Kim, Sookyung Choi, Bomin Jeon
    Journal of Nursing Scholarship.2022; 54(5): 569.     CrossRef
  • ISPAD Clinical Practice Consensus Guidelines 2022: Diabetes in adolescence
    John W. Gregory, Fergus J. Cameron, Kriti Joshi, Mirjam Eiswirth, Christopher Garrett, Katharine Garvey, Shivani Agarwal, Ethel Codner
    Pediatric Diabetes.2022; 23(7): 857.     CrossRef
  • Diabetes Self-Management Education and Support to Improve Outcomes for Children and Young Adults With Type 1 Diabetes: An Umbrella Review of Systematic Reviews
    Latika Rohilla, Sukhpal Kaur, Mona Duggal, Prahbhjot Malhi, Bhavneet Bharti, Devi Dayal
    The Science of Diabetes Self-Management and Care.2021; 47(5): 332.     CrossRef
  • Smartphones and Apps to Control Glycosylated Hemoglobin (HbA1c) Level in Diabetes: A Systematic Review and Meta-Analysis
    María Begoña Martos-Cabrera, Almudena Velando-Soriano, Laura Pradas-Hernández, Nora Suleiman-Martos, Guillermo A. Cañadas-De la Fuente, Luis Albendín-García, José L. Gómez-Urquiza
    Journal of Clinical Medicine.2020; 9(3): 693.     CrossRef
  • Are We Ready to Treat Our Diabetes Patients Using Social Media? Yes, We Are
    Goran Petrovski, Marija Zivkovic
    Journal of Diabetes Science and Technology.2019; 13(2): 171.     CrossRef
  • Clinical Effectiveness of Telemedicine in Diabetes Mellitus: A Meta-Analysis of 42 Randomized Controlled Trials
    Huidi Tchero, Pauline Kangambega, Christine Briatte, Solenne Brunet-Houdard, Gerald-Reparate Retali, Emmanuel Rusch
    Telemedicine and e-Health.2019; 25(7): 569.     CrossRef
  • Distal technologies and type 1 diabetes management
    Danny C Duke, Samantha Barry, David V Wagner, Jane Speight, Pratik Choudhary, Michael A Harris
    The Lancet Diabetes & Endocrinology.2018; 6(2): 143.     CrossRef
  • Exploration of Users’ Perspectives and Needs and Design of a Type 1 Diabetes Management Mobile App: Mixed-Methods Study
    Yiyu Zhang, Xia Li, Shuoming Luo, Chaoyuan Liu, Fang Liu, Zhiguang Zhou
    JMIR mHealth and uHealth.2018; 6(9): e11400.     CrossRef
  • An information and communication technology-based centralized clinical trial to determine the efficacy and safety of insulin dose adjustment education based on a smartphone personal health record application: a randomized controlled trial
    Gyuri Kim, Ji Cheol Bae, Byoung Kee Yi, Kyu Yeon Hur, Dong Kyung Chang, Moon-Kyu Lee, Jae Hyeon Kim, Sang-Man Jin
    BMC Medical Informatics and Decision Making.2017;[Epub]     CrossRef
  • Telemedicine for the Management of Glycemic Control and Clinical Outcomes of Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Studies
    Shaun W. H. Lee, Leanne Ooi, Yin K. Lai
    Frontiers in Pharmacology.2017;[Epub]     CrossRef
  • Effects of consumer-oriented health information technologies in diabetes management over time: a systematic review and meta-analysis of randomized controlled trials
    Da Tao, Tieyan Wang, Tieshan Wang, Shuang Liu, Xingda Qu
    Journal of the American Medical Informatics Association.2017; 24(5): 1014.     CrossRef
  • Randomized, Open-Label, Parallel Group Study to Evaluate the Effect of Internet-Based Glucose Management System on Subjects with Diabetes in China
    Hun-Sung Kim, Chenglin Sun, So Jung Yang, Lin Sun, Fei Li, In Young Choi, Jae-Hyoung Cho, Guixia Wang, Kun-Ho Yoon
    Telemedicine and e-Health.2016; 22(8): 666.     CrossRef
  • 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
  • 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
  • Does telemedicine improve treatment outcomes for diabetes? A meta-analysis of results from 55 randomized controlled trials
    Dejun Su, Junmin Zhou, Megan S. Kelley, Tzeyu L. Michaud, Mohammad Siahpush, Jungyoon Kim, Fernando Wilson, Jim P. Stimpson, José A. Pagán
    Diabetes Research and Clinical Practice.2016; 116: 136.     CrossRef
  • Adherence to Glycemic Monitoring in Diabetes
    Susana R. Patton
    Journal of Diabetes Science and Technology.2015; 9(3): 668.     CrossRef
  • Internet-Based Mentoring Program for Patients with Type 1 Diabetes
    Sun-Hye Ko, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2014; 38(2): 107.     CrossRef

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