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Improving glycemic control

Improving glycemic control

DeFronzo Improvin AM Efficacy of Improvimg in patients with non—insulin-dependent diabetes mellitus: the Antimicrobial coatings Metformin Promoting healthy glucose utilization Group. Diabetes Care ; Cotrol Article PubMed Improvint Scholar Brunkhorst FM, Engel C, Bloos F, Meier-Hellmann A, Ragaller M, Weiler N, et al. The SNUBH Institutional Review Board approved the study, and all patients gave their written, informed consent. Article PubMed CAS Google Scholar Preiser JC, Chase JG, Hovorka R, Joseph JI, Krinsley JS, De Block C, et al.

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Improving glycemic control -

These data indicate that the CDSS-based u-healthcare service was effective in decreasing postprandial glucose surge by immediately alerting patients with lifestyle change recommendations. According to previous study results, postprandial glucose concentration is regarded as a risk factor for developing long-term complications 20 — Therefore, less fluctuation of glucose levels would lead to better prevention of long-term diabetes complications.

In this study, glycemic control also improved in the SMBG group, but this effect was attenuated over time. This implies that self-management of diabetes is difficult without close and consistent supervision. Thus, prompt follow-up involving appropriate recommendations and consistent reminder messages that motivate patients may be more important than the frequency of glucose self-measurement per se.

Although, the frequency of SMBG was directly related to the mean A1C levels, it is noteworthy to recognize its attenuating relationship at the end of the study. In addition, u-healthcare service group showed a decrease in BMI and LDL-cholesterol level. These results can be interpreted as unintended benefits resulting from adhering to lifestyle change recommendations that were generated by the CDSS rule engine.

Thus, u-healthcare service has many other beneficial effects pertaining to healthy lifestyle changes encouraged by automated messages. Several studies have used a different telehealth system in different settings. A previous study from our group confirmed the use of the glucometer with a mobile system and Zigbee communication protocol and showed improved self-care in diabetes management in elderly diabetic patients 8.

An Internet-based glucose control system used in the middle-aged type 2 diabetic patients recently showed a significant reduction of the A1C level More recently, another group from South Korea reported that the combined application of a mobile device and a Web-based monitoring system for 12 weeks improved various metabolic parameters in obese patients with diabetes and hypertension Thus, various applications of advanced information technology in different settings and populations would be helpful in diabetes management, and as a result, a great number of studies are ongoing in this field 13 , 23 — Patients in this study were allowed to change their therapeutic regimen according to the text messages generated by the CDSS rule engine.

Generally, every change in the drug regimen in Korea must be certified by a doctor. This study, however, was conducted under controlled and special circumstances where the participants were educated intensively and the dose of self-adjustment was limited to a very narrow range.

In addition, the investigators frequently monitored the text messages, and an active alert system also sent timely notification of adverse events. Nevertheless, the issue of self-changing therapy by patients is an area of uncertainty and concern, and more clinical studies are required to support its validity.

This study has some limitations. First, the study population size was relatively small. Second, the overall follow-up period was only 6 months. In addition, study participants were limited to elderly individuals, and only blood glucose levels were involved. Thus, a large-scale, long-term clinical trial using the advanced CDSS rule engine for type 2 diabetic patients is required in the near future.

Despite more frequent testing, This could be attributed to education, reminder messages generated by the glucometer, and patient satisfaction with the glucose results associated with frequent testing.

The high proportion of elderly patients who completed the study is important for several reasons. The successful completion serves as an indication that even technologically challenged elderly individuals can adopt a new and advanced system.

It is critical, however, to provide sufficient education and training before such system implementation, as was done in this study.

Another significance of this adapted population is its implication on the use of a new system in the general public. Successful adoption of new technology by the general public when the u-healthcare system is widely implemented is anticipated from the results of our study.

In conclusion, we have demonstrated that the 6-month application of the u-healthcare system, which is characterized by a proactive automated communication system using the CDSS rule engine, helped diabetic patients achieve target glycemic control with less hypoglycemia.

In the near future, we hope that the individualized u-healthcare system will contribute to diabetes management by reducing complications and improving quality of life and self-care in patients with diabetes.

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Volume 34, Issue 2. Previous Article Next Article. RESEARCH DESIGN AND METHODS. Article Navigation. Improved Glycemic Control Without Hypoglycemia in Elderly Diabetic Patients Using the Ubiquitous Healthcare Service, a New Medical Information System Soo Lim, MD ; Soo Lim, MD.

This Site. Google Scholar. Seon Mee Kang, MD ; Seon Mee Kang, MD. Hayley Shin, BS ; Hayley Shin, BS. Hak Jong Lee, MD ; Hak Jong Lee, MD. Ji Won Yoon, MD ; Ji Won Yoon, MD. Sung Hoon Yu, MD ; Sung Hoon Yu, MD. So-Youn Kim, RN ; So-Youn Kim, RN. Soo Young Yoo, PHD ; Soo Young Yoo, PHD.

Hye Seung Jung, MD ; Hye Seung Jung, MD. Kyong Soo Park, MD ; Kyong Soo Park, MD. Jun Oh Ryu, MD ; Jun Oh Ryu, MD. Hak C. Jang, MD Hak C. Jang, MD. Corresponding author: Hak C. Jang, janghak snu. contributed equally to this work. Diabetes Care ;34 2 — Facilitating Behavior Change and Well-being to Improve Health Outcomes: Standards of Medical Care in Diabetes - International Diabetes Federation: Global Guideline for Type 2 Diabetes.

Paulweber B, Valensi P, Lindström J, Lalic NM, Greaves CJ, McKee M, et al. A European Evidence-Based Guideline for the Prevention of Type 2 Diabetes. Horm Metab Res. Article CAS Google Scholar. Powers MA, Bardsley JK, Cypress M, Funnell MM, Harms D, Hess-Fischl A, et al.

Mulcahy K, Maryniuk M, Peeples M, Peyrot M, Tomky D, Weaver T, et al. Diabetes self-management education core outcomes measures.

Diabetes Educ. Bekele BB, Negash S, Bogale B, Tesfaye M, Getachew D, Weldekidan F, et al. Effect of diabetes self-management education DSME on glycated hemoglobin HbA1c level among patients with T2DM: Systematic review and meta-analysis of randomized controlled trials.

Diabetes Metab Syndr. Odgers-Jewell K, Ball LE, Kelly JT, Isenring EA, Reidlinger DP, Thomas R. Effectiveness of group-based self-management education for individuals with Type 2 diabetes: a systematic review with meta-analyses and meta-regression. Diabet Med J Br Diabet Assoc.

Tanaka R, Shibayama T, Sugimoto K, Hidaka K. Diabetes self-management education and support for adults with newly diagnosed type 2 diabetes mellitus: A systematic review and meta-analysis of randomized controlled trials. Diabetes Res Clin Pract. World Health Organization.

Use of glycated haemoglobin HbA1c in the diagnosis of diabetes mellitus. He X, Li J, Wang B, Yao Q, Li L, Song R, et al. Diabetes self-management education reduces risk of all-cause mortality in type 2 diabetes patients: a systematic review and meta-analysis. Minet L, Møller S, Vach W, Wagner L, Henriksen JE.

Mediating the effect of self-care management intervention in type 2 diabetes: a meta-analysis of 47 randomised controlled trials. Patient Educ Couns. Steinsbekk A, Rygg LØ, Lisulo M, Rise MB, Fretheim A. Group based diabetes self-management education compared to routine treatment for people with type 2 diabetes mellitus.

A systematic review with meta-analysis. BMC Health Serv Res. Article PubMed PubMed Central Google Scholar. Norris SL, Lau J, Smith SJ, Schmid CH, Engelgau MM. Self-management education for adults with type 2 diabetes: a meta-analysis of the effect on glycemic control.

Shumaker SA, Brownell A. Toward a Theory of Social Support: Closing Conceptual Gaps. J Soc Issues. Article Google Scholar. Song Y, Nam S, Park S, Shin I-S, Ku BJ. The Impact of Social Support on Self-care of Patients With Diabetes: What Is the Effect of Diabetes Type?

Systematic Review and Meta-analysis. Wang X, He L, Zhu K, Zhang S, Xin L, Xu W, et al. An integrated model to evaluate the impact of social support on improving self-management of type 2 diabetes mellitus.

BMC Med Inform Decis Mak. Powers MA, Bardsley J, Cypress M, Duker P, Funnell MM, Fischl AH, et al. Diabetes Self-management Education and Support in Type 2 Diabetes: A Joint Position Statement of the American Diabetes Association, the American Association of Diabetes Educators, and the Academy of Nutrition and Dietetics.

Clin Diabetes Publ Am Diabetes Assoc. Dennis C-L. Peer support within a health care context: a concept analysis. Int J Nurs Stud. Gatlin TK, Serafica R, Johnson M. Systematic review of peer education intervention programmes among individuals with type 2 diabetes.

J Clin Nurs. Patil SJ, Ruppar T, Koopman RJ, Lindbloom EJ, Elliott SG, Mehr DR, et al. Peer Support Interventions for Adults With Diabetes: A Meta-Analysis of Hemoglobin A1c Outcomes. Ann Fam Med.

Effect of peer support interventions on cardiovascular disease risk factors in adults with diabetes: a systematic review and meta-analysis. BMC Public Health. Dale JR, Williams SM, Bowyer V. What is the effect of peer support on diabetes outcomes in adults? A systematic review. Johansson T, Keller S, Winkler H, Ostermann T, Weitgasser R, Sönnichsen AC.

Effectiveness of a Peer Support Programme versus Usual Care in Disease Management of Diabetes Mellitus Type 2 regarding Improvement of Metabolic Control: A Cluster-Randomised Controlled Trial.

J Diabetes Res. mHealth: new horizons for health through mobile technologies: second global survey on eHealth. Accessed 19 Mar Eberle C, Stichling S, Löhnert M. Diabetology 4. J Med Internet Res. Morris C, Scott RE, Mars M. Security and Other Ethical Concerns of Instant Messaging in Healthcare.

Stud Health Technol Inform. Kitsiou S, Paré G, Jaana M, Gerber B. Effectiveness of mHealth interventions for patients with diabetes: An overview of systematic reviews.

PloS One. Article CAS PubMed PubMed Central Google Scholar. Wang Y, Min J, Khuri J, Xue H, Xie B, Kaminsky L, et al. Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews.

JMIR MHealth UHealth. Gabarron E, Årsand E, Wynn R. Social Media Use in Interventions for Diabetes: Rapid Evidence-Based Review. Vorderstrasse A, Lewinski A, Melkus GD, Johnson C. Social Support for Diabetes Self-Management via eHealth Interventions.

Curr Diab Rep. Statistik Austria: Erhebung über den IKT-Einsatz in Haushalten Vienna: Statistik Austria; Tang TS, Funnell M, Sinco B, Piatt G, Palmisano G, Spencer MS, et al. Comparative effectiveness of peer leaders and community health workers in diabetes self-management support: results of a randomized controlled trial.

Giordano V, Koch H, Godoy-Santos A, Dias Belangero W, Esteves Santos Pires R, Labronici P. WhatsApp Messenger as an Adjunctive Tool for Telemedicine: An Overview. Interact J Med Res. Kleinberger JW, Pollin TI. Personalized medicine in diabetes mellitus: current opportunities and future prospects.

Ann N Y Acad Sci. Scheen AJ. Precision medicine: The future in diabetes care? Dugas M, Crowley K, Gao GG, Xu T, Agarwal R, Kruglanski AW, et al. Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans.

PLOS ONE. Klein WMP, Rothman AJ, Cameron LD. Theoretical innovations in social and personality psychology and implications for health: introduction to special issue. Health Psychol Off J Div Health Psychol Am Psychol Assoc.

Montag C, Błaszkiewicz K, Sariyska R, Lachmann B, Andone I, Trendafilov B, et al. Smartphone usage in the 21st century: who is active on WhatsApp? BMC Res Notes. Amt der NÖ Landesregierung: Bevölkerungsstruktur Zahlen Fakten, St. Accessed 28 May Statistik Austria: Bevölkerung. Smith PC, Schmidt SM, Allensworth-Davies D, Saitz R.

A Single-Question Screening Test for Drug Use in Primary Care. Arch Intern Med. Lifestyle Management: Standards of Medical Care in Diabetes— Atreja A, Bellam N, Levy SR. Strategies to Enhance Patient Adherence: Making it Simple. Med Gen Med.

Matsui D. Strategies to Measure and Improve Patient Adherence in Clinical Trials. Pharm Med. Riedl R, Robausch M, Berghold A. The Evaluation of the Effectiveness of Austrians Disease Management Program in Patients with Type 2 Diabetes Mellitus - A Population-Based Retrospective Cohort Study.

Fydrich T, Sommer G, Brähler E. Fragebogen zu Sozialen Unterstützung. Göttingen: Hogrefe; Schwarzer R, Jerusalem M. Generalized Self-Efficacy scale. In: Weinman J, Wright S, Johnston M, editors.

Winsor: NFER-NELSON; Kroenke K, Spitzer RL, Williams JB. The PHQ validity of a brief depression severity measure. J Gen Intern Med. Polonsky WH, Fisher L, Earles J, Dudl RJ, Lees J, Mullan J, et al.

Assessing Psychosocial Distress in Diabetes: Development of the Diabetes Distress Scale. Morfeld M, Kirchberger I, Bullinger M. SF Fragebogen zum Gesundheitszustand. Collins GS, Mughal S, Barnett AH, Fitzgerald J, Lloyd CE.

Modification and validation of the Revised Diabetes Knowledge Scale. Diabet Med. Jank S, Bertsche T, Schellberg D, Herzog W, Haefeli WE. The Ascale: development and evaluation of a questionnaire for assessment of adherence and individual barriers. Pharm World Sci. IPAQ International Questionnaire.

Downloadable questionnaires. not dated. Accessed 31 August Lee PH, Macfarlane DJ, Lam TH, Stewart SM. Validity of the International Physical Activity Questionnaire Short Form IPAQ-SF : a systematic review.

Int J Behav Nutr Phys Act. Kamradt M, Bozorgmehr K, Krisam J, Freund T, Kiel M, Qreini M, et al. Assessing self-management in patients with diabetes mellitus type 2 in Germany: validation of a German version of the Summary of Diabetes Self-Care Activities measure SDSCA-G.

Health Qual Life Outcomes. United Nations Economic Commission for Europe. Conference of European Statisticians Recommendations for the Censuses of Population and Housing. New York and Geneva: UNECE; Accessed 11 May Danner D, Rammstedt B, Bluemke M, Lechner C, Berres S, Knopf T, et al.

Das Big-Five Inventar 2: Validierung eines Persönlichkeitsinventars zur Erfassung von 5 Persönlichkeitsdomänen und 15 Facetten. Hughes DJ, Rowe M, Batey M, Lee A. A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage. Comput Hum Behav. Pittman M. Phoneliness: Examining the relationships between mobile social media, personality and loneliness [dissertation].

Oregon: University of Oregon Graduate School; Accessed 15 June Röhner J, Schütz A. Ein integratives Kommunikationsmodell nach Hargie und Kollegen. In: Röhner J, Schütz A, editors. Psychologie der Kommunikation Basiswissen Psychologie.

Wiesbaden: Springer VS; Chapter Google Scholar. Faul F, Erdfelder E, Lang A-G, Buchner A. Behav Res Methods. Azami G, Soh KL, Sazlina SG, Salmiah MS, Aazami S, Mozafari M, et al.

Effect of a Nurse-Led Diabetes Self-Management Education Program on Glycosylated Hemoglobin among Adults with Type 2 Diabetes.

Gagliardino JJ, Arrechea V, Assad D, Gagliardino GG, González L, Lucero S, et al. Type 2 diabetes patients educated by other patients perform at least as well as patients trained by professionals: Peer Diabetes Education.

Diabetes Metab Res Rev. Tshiananga JKT, Kocher S, Weber C, Erny-Albrecht K, Berndt K, Neeser K. The effect of nurse-led diabetes self-management education on glycosylated hemoglobin and cardiovascular risk factors: a meta-analysis.

Mother-Child-Booklet [Internet]. Vienna: Bundesministerium für Digitalisierung und Wirtschaftsstandort. html child. Accessed 4 January Field A. Discovering statistics using SPSS. London: Sage Publications Ltd; Medical University of Vienna: Good Scientific Practice. Ethics in Science and Research.

Guidelines of the Medical University of Vienna. Vienna: Medical University of Vienna; Accessed 10 May Sathish T, Kapoor N, Cao Y, Tapp RJ, Zimmet P. Proportion of newly diagnosed diabetes in COVID patients: A systematic review and meta-analysis. Diabetes Obes Metab.

Parekh N, Deierlein AL. Health behaviours during the coronavirus disease pandemic: implications for obesity. Public Health Nutr. Zupo R, Castellana F, Sardone R, Sila A, Giagulli VA, Triggiani V, et al. Preliminary Trajectories in Dietary Behaviors during the COVID Pandemic: A Public Health Call to Action to Face Obesity.

Int J Environ Res Public Health. Download references. The authors gratefully acknowledge the financial support of the Gesellschaft für Forschungsförderung Niederösterreich m. H GFF and the provincial government of Lower Austria through the Life Science Calls Project ID LS We would like to thank the NÖ Landesgesundheitsagentur, the Austrian diabetes self-help groups, and involved students for their support of this study.

Furthermore, we acknowledge the permission to use the following questionnaires:. Department of General Practice and Health Services Research, University Hospital Heidelberg, Heidelberg, Germany for the SDSCA-G:. Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University, Germany for the AScale:.

Pharm World Sci ; Michigan Diabetes Research Center, Michigan, USA for the Diabetes Knowledge Scale. The project was supported by Grant Number P30DK MDRC from the National Institute of Diabetes and Digestive and Kidney Diseases. Downloadable questionnaires [Internet].

Danner D, Rammstedt B, Bluemke M, Treiber L, Berres S, Soto C, et al. Die deutsche Version des Big Five Inventory 2 BFI Zusammenstellung Sozialwissenschaftlicher Items Skalen ZIS [Internet]. EH is the study coordinator. EH, JG, MW, DWK, and JP conceived the study and led the proposal and protocol development.

EH and JG wrote the first draft of the manuscript. JP edited and made substantial contributions to the manuscript. EH is responsible for study management, measurements, and data management. UH, AEZ, EH, JG, DWK, WK, and SS developed the IMS strategy and the trainings.

JG and AEZ will be responsible for interpreting communication data. UH is the dietitian in contact with moderators. MW and WK are the clinicians responsible for analyzing biochemical parameters. PK and EG will carry out the FoKo database query and contact potential participants as well as internists and physicians in Lower Austria.

SS will be responsible for statistical analysis. All authors read and approved the final manuscript. This study is publicly funded by the Gesellschaft für Forschungsförderung Niederösterreich m.

The funding organization has no influence on the design, collection, analysis, and interpretation of data, or the writing of the manuscript. The Data Management Coordinating Center EH, UH, AEZ, JG will oversee the intra-study data sharing process, with input from the Data Management Subcommittee.

Data sharing will be done in exclusively encrypted form. Also, only the encrypted data will be used for any publications. Medical samples will be destroyed after the analyses according to the quality criteria of ISO and will not be stored for further examinations.

The collected data and backup copies are protected by passwords and are also only accessible to those persons who are entrusted with their processing and evaluation.

An ID code is created for each participant encryption by means of sequential numbering, from which only the assignment to the corresponding group is possible, but no conclusion regarding the identity of the participant. Institute of Health Sciences, St.

Department of Internal Medicine I, University Hospital St. Bachelor Degree Program Dietetics, St. Department of Psychology and Psychodynamics, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria.

Fachbereich Versorgungsmanagement 3, Austrian Health Insurance Fund, St. Christian Doppler Forschungsgesellschaft, Vienna, Austria. You can also search for this author in PubMed Google Scholar. Correspondence to Elisabeth Höld. Written, informed consent to participate will be obtained from all participants.

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Reprints and permissions. Höld, E. et al. Improving glycemic control in patients with type 2 diabetes mellitus through a peer support instant messaging service intervention DiabPeerS : study protocol for a randomized controlled trial. Trials 23 , Download citation. Received : 27 September Accepted : 26 March Published : 14 April Anyone you share the following link with will be able to read this content:.

Sorry, a shareable link is not currently available for this article. Regular physical activity helps manage diabetes and reduces the risk of serious health complications associated with the disease.

Exercise increases the amount of glucose used by the muscles and helps the body use insulin more efficiently. Doing different activities each week provides the most health benefits. Mixing cardiovascular activities with strength training and stretching provides a variety of health benefits and keeps patients from becoming bored with their routines.

Although most physical activity helps with glucose control, certain activities may be unsafe for some individuals. Pharmacists should always counsel patients to check with their physicians before starting exercise routines.

In addition, patients should drink plenty of water, not only to stay hydrated but to flush glucose from the kidneys; get enough sleep, as irregular sleep can result in glucose intolerance; and reduce stress, because stress causes the body to release hormones called cortisol and glucagon, which cause blood glucose levels to rise.

Kathleen Kenny, PharmD, RPh, is a clinical medical writer for Healthline Media in Colorado Springs, Colorado. Diabetes and prediabetes. Updated September 6, Accessed March 13, Blonde L, Aschner P, Bailey C, Ji L, Leiter LA, Matthaei S; Global Partnership for Effective Diabetes Management. Gaps and barriers in the control of blood glucose in people with type 2 diabetes.

Diab Vasc Dis Res. All about your A1C. Updated September 30, Monitoring your blood sugar. Updated December 30, Manage blood sugar. Glycemic index food guide. Diabetes Canada. National Institute of Diabetes and Digestive and Kidney Diseases. Updated December Updated November 30, The impact of poor sleep on type 2 diabetes.

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Glycemix Promoting healthy glucose utilization 2. Authors of goycemic article:. Gpycemic Traditional lifestyle Imprvoing have shown limited success in improving diabetes-related outcomes. Digital interventions with continuously Health benefits of fruits support and personalized educational content may offer unique advantages for self-management and glycemic control. Objective: In this study, we evaluated changes in glycemic control among participants with type 2 diabetes who enrolled in a digital diabetes management program. Methods: The study employed a single-arm, retrospective design. A total of participants with a hemoglobin A 1c HbA 1c baseline value of at least 7. Glycemmic Improving glycemic control. Keeping blood glucose levels glyemic a target range delays prevents serious health Metabolism Booster associated with type 2 diabetes. More Improvinng Promoting healthy glucose utilization million individuals conhrol the United States have diabetes, and 96 million Contrlo prediabetes, many of whom do not know it. It is important to keep blood glucose levels within a target range as much as possible to delay or prevent long-term, serious health problems such as heart or kidney disease, neuropathy, and vision loss. This leads to a higher risk of avoidable, serious complications. The hemoglobin A1C HbA1C test is the gold standard for measuring blood glucose levels, according to the American Diabetes Association. The test measures average blood glucose levels over a 2- to 3-month period.

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