Literature DB >> 20377663

Internet and information technology use in treatment of diabetes.

N Kaufman1.   

Abstract

This chapter contains clinical studies and reviews of the state-of-the-art regarding how information technology can help improve outcomes for patients with diabetes through enhanced education and support. With the increasing sophistication of diabetes treatment protocols and diabetes-related devices this new modality offers a remarkable opportunity for clinicians and patients. For the first time, with online tools clinicians are in a position to have a major impact on diabetes outcomes by providing robust and affordable just-in-time support to large numbers of patients who want to improve their diabetes outcomes through enhanced self-management of the complex behaviours so essential for good outcomes. Patients with diabetes often need a complex set of services and support ranging from glucose monitoring, insulin and other medication management, psychotherapy and social support, to physical activity promotion, nutrition counselling and more. Integrating these supports into a patient's therapeutic regimen presents challenges that need to be addressed through a variety of strategies. Patient self-management of diabetes enabled by information technology is becoming an important factor in the way providers deliver healthcare. Approaches using information technology to support clinical services are being dramatically altered by the confluence of several trends. * Patients want an active role in managing their own health and a collaborative relationship with their healthcare providers. * Widespread, low-cost internet access is erasing existing geographic, economic and demographic barriers to obtaining health information online, and with advanced Web 2.0 technologies high levels of interactivity can engage the patient. * Clinicians and researchers now have a deeper understanding of how people learn and respond online, and that knowledge can be crafted into solutions that produce effective, long-term behaviour change. Technology enabled approaches that show great promise to improve outcomes use new models of service provision in which technology enabled self-management support (SMS) provides patients with * just-in-time delivery of tailored messages and experience that speak to each person based on their unique characteristics, their performance on key behaviours and their needs at that moment in time; * ways to easily and accurately keep track of their performance and use that knowledge to plan and implement new approaches to reaching their goals; * ways to link directly to family and friends for critical support, and to link to their many providers to help integrate medical care with everyday life. Online tools can extend health practices and provide this support through cost-effective programmes that help clinicians guide their patients to better manage their diabetes. The best internet self-management education and support programmes are rich in pertinent content, provide engaging interactive elements, and offer a tailored, personalised learning experience. They contain self-assessment tools and ways for the individual to monitor performance and changes in biological measurements such as blood sugar, insulin dosage, physical activity, weight, blood pressure and mood. The patient can access their information, input their data, and receive support 24 h a day - at a time and place most convenient for them, and not limited to clinicians' office hours. Web-based learning and support technology benefits both clinician and patient; patients learn to overcome barriers and to self-document activities and interactions, permitting clinician review and feedback at any time. In addition to automating much of the educational content, this time shifting element is one of the keys to making the process efficient and low cost. The ability to perform an automated review of the patient's activities and performance also provides the clinician with a valuable tool that increases both effectiveness and efficiency. As with online intervention, a 'virtual coach' can provide individualised guidance and support based on readily available analyses of each patient's characteristics and performance. In addition, the clinician can communicate frequently and efficiently, offering personalised email support to each patient without requiring in-person meetings, as well as monitor 'virtual support groups' where patients interact with others online via informational chat rooms and blogs. By incorporating web-based patient self-management and support into traditional treatment methods, one clinician can effectively support many patients - one patient at a time.

Entities:  

Mesh:

Year:  2010        PMID: 20377663     DOI: 10.1111/j.1742-1241.2009.02277.x

Source DB:  PubMed          Journal:  Int J Clin Pract Suppl        ISSN: 1368-504X


  38 in total

1.  Smartphone apps as a source of cancer information: changing trends in health information-seeking behavior.

Authors:  Ambarish Pandey; Sayeedul Hasan; Divyanshu Dubey; Sasmit Sarangi
Journal:  J Cancer Educ       Date:  2013-03       Impact factor: 2.037

Review 2.  Internet interventions to support lifestyle modification for diabetes management: a systematic review of the evidence.

Authors:  Alexander P Cotter; Nefertiti Durant; April A Agne; Andrea L Cherrington
Journal:  J Diabetes Complications       Date:  2013-12-12       Impact factor: 2.852

Review 3.  Telehealth interventions to reduce management complications in type 1 diabetes: A review.

Authors:  Amanda M Balkhi; Adam M Reid; Sarah C Westen; Brian Olsen; David M Janicke; Gary R Geffken
Journal:  World J Diabetes       Date:  2015-04-15

4.  Internet use by parents of infants with positive newborn screens.

Authors:  Jane M DeLuca; Margaret H Kearney; Sally A Norton; Georgianne L Arnold
Journal:  J Inherit Metab Dis       Date:  2012-02-02       Impact factor: 4.982

5.  Consensus report: the current role of self-monitoring of blood glucose in non-insulin-treated type 2 diabetes.

Authors:  David C Klonoff; Lawrence Blonde; George Cembrowski; Antonio Roberto Chacra; Guillaume Charpentier; Stephen Colagiuri; George Dailey; Robert A Gabbay; Lutz Heinemann; David Kerr; Antonio Nicolucci; William Polonsky; Oliver Schnell; Robert Vigersky; Jean-François Yale
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

6.  Effects of diabetes self-management programs on time-to-hospitalization among patients with type 2 diabetes: a survival analysis model.

Authors:  Omolola E Adepoju; Jane N Bolin; Charles D Phillips; Hongwei Zhao; Robert L Ohsfeldt; Darcy K McMaughan; Janet W Helduser; Samuel N Forjuoh
Journal:  Patient Educ Couns       Date:  2014-01-13

Review 7.  Healthcare reform, quality, and technology: ADHD as a case study.

Authors:  Rebecca A Baum; Jeffery N Epstein; Kelly Kelleher
Journal:  Curr Psychiatry Rep       Date:  2013-07       Impact factor: 5.285

8.  'Red Ruby': an interactive web-based intervention for lifestyle modification on metabolic syndrome: a study protocol for a randomized controlled trial.

Authors:  Leila Jahangiry; Davoud Shojaeizadeh; Mahdi Najafi; Kazem Mohammad; Mahdieh Abbasalizad Farhangi; Ali Montazeri
Journal:  BMC Public Health       Date:  2014-07-24       Impact factor: 3.295

9.  Health-related Quality of Life Among People Participating in a Metabolic Syndrome E-screening Program: A Web-based Study.

Authors:  Leila Jahangiry; Davoud Shojaeezadeh; Ali Montazeri; Mahdi Najafi; Kazem Mohammad
Journal:  Int J Prev Med       Date:  2016-01-25

10.  Utilization of E-Health Services Among U.S. Adults With Diabetes.

Authors:  Chiu-Fang Chou; Kai McKeever Bullard; Jinan B Saaddine; Heather M Devlin; John Crews; Giuseppina Imperatore; Judith McDivitt; Ann Albright
Journal:  Diabetes Care       Date:  2015-10-12       Impact factor: 19.112

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.