Gérard Reach1. 1. Department of Endocrinology, Diabetes and Metabolic Diseases, Avicenne Hospital, Bobigny, France. gerard.reach@avc.aphp.fr
Abstract
BACKGROUND: Therapeutic nonadherence is defined as the lack of equivalence between the behavior of the patients and their prescribed medical treatment. Consequences of nonadherence include not only health outcomes, but also cost saving. Thus, this issue gets paramount importance in contemporary medicine. METHOD: The aim of this article is to discuss the relationships between technology and adherence by asking the following three questions. (1) How can technology be used to monitor patient adherence? (2) Considering the mechanisms of nonadherence in chronic diseases, is there room for technology in interventions aimed to improve patient adherence? (3) What about adherence to technology in diabetes care? RESULTS AND CONCLUSION: Technology may help improve adherence to long-term therapies by (1) giving a concrete representation of adherence rewards, (2) overcoming immediate obstacles to adherence, such as the fear of hypoglycemia, and (3) providing an opportunity for patient-doctor conversations. This assumes, however, that both the patient and the doctor are convinced that technologies are useful. 2009 Diabetes Technology Society.
BACKGROUND: Therapeutic nonadherence is defined as the lack of equivalence between the behavior of the patients and their prescribed medical treatment. Consequences of nonadherence include not only health outcomes, but also cost saving. Thus, this issue gets paramount importance in contemporary medicine. METHOD: The aim of this article is to discuss the relationships between technology and adherence by asking the following three questions. (1) How can technology be used to monitor patient adherence? (2) Considering the mechanisms of nonadherence in chronic diseases, is there room for technology in interventions aimed to improve patient adherence? (3) What about adherence to technology in diabetes care? RESULTS AND CONCLUSION: Technology may help improve adherence to long-term therapies by (1) giving a concrete representation of adherence rewards, (2) overcoming immediate obstacles to adherence, such as the fear of hypoglycemia, and (3) providing an opportunity for patient-doctor conversations. This assumes, however, that both the patient and the doctor are convinced that technologies are useful. 2009 Diabetes Technology Society.
Authors: H Peter Chase; Roy Beck; William Tamborlane; Bruce Buckingham; Nelly Mauras; Eva Tsalikian; Tim Wysocki; Stuart Weinzimer; Craig Kollman; Katrina Ruedy; Dongyuan Xing Journal: Diabetes Care Date: 2005-05 Impact factor: 19.112
Authors: Scot H Simpson; Dean T Eurich; Sumit R Majumdar; Rajdeep S Padwal; Ross T Tsuyuki; Janice Varney; Jeffrey A Johnson Journal: BMJ Date: 2006-06-21
Authors: H Peter Chase; Brian Horner; Kim McFann; Hannah Yetzer; Jana Gaston; Carolyn Banion; Rosanna Fiallo-Scharer; Robert Slover; Georgeanna Klingensmith Journal: Diabetes Care Date: 2006-05 Impact factor: 19.112
Authors: William V Tamborlane; Roy W Beck; Bruce W Bode; Bruce Buckingham; H Peter Chase; Robert Clemons; Rosanna Fiallo-Scharer; Larry A Fox; Lisa K Gilliam; Irl B Hirsch; Elbert S Huang; Craig Kollman; Aaron J Kowalski; Lori Laffel; Jean M Lawrence; Joyce Lee; Nelly Mauras; Michael O'Grady; Katrina J Ruedy; Michael Tansey; Eva Tsalikian; Stuart Weinzimer; Darrell M Wilson; Howard Wolpert; Tim Wysocki; Dongyuan Xing Journal: N Engl J Med Date: 2008-09-08 Impact factor: 91.245