Literature DB >> 23759409

The current status of mHealth for diabetes: will it be the next big thing?

David C Klonoff1.   

Abstract

mHealth is an emerging concept in health care and uses mobile communications devices for health services and information. Mobile phones, patient monitoring devices, tablets, personal digital assistants, and other wireless devices can be part of mHealth systems. With mHealth systems, glucose data can now be automatically collected, transmitted, aggregated with other physiologic data, analyzed, stored, and presented as actionable information. mHealth systems use mobile decision support software applications (or apps) to assist or direct health care professionals to make decisions, or they can assist or direct patients to make decisions without waiting for input from a clinician. With real-time decision support for patients, appropriate actions can be taken in real time without waiting to see a clinician. Decisions can be personalized if individual treatment goals and personal preferences for treatment are inputted into an app. Few mHealth apps for diabetes have been rigorously tested. Outcome studies of the use of mHealth for diabetes from the literature have shown the potential for benefits, but higher-quality studies are needed. Regulatory approval of mHealth products will require demonstration of safety and effectiveness, especially where information and trends are not just presented to patients, but used to make treatment recommendations. Three additional hurdles must be overcome to facilitate widespread adoption of this technology, including demonstration of the following: (1) privacy to satisfy regulators, (2) clinical benefit to satisfy clinicians, and (3) economic benefit to satisfy payers. mHealth for diabetes is making rapid strides and is expected to be a transforming technology that will be the next big thing.
© 2013 Diabetes Technology Society.

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Year:  2013        PMID: 23759409      PMCID: PMC3869144          DOI: 10.1177/193229681300700321

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  17 in total

Review 1.  An economic analysis of interventions for diabetes.

Authors:  D C Klonoff; D M Schwartz
Journal:  Diabetes Care       Date:  2000-03       Impact factor: 19.112

2.  Capitalizing on the characteristics of mHealth to evaluate its impact.

Authors:  Patricia Mechael; Bennett Nemser; Roxana Cosmaciuc; Heather Cole-Lewis; Seth Ohemeng-Dapaah; Schadrack Dusabe; Nadi Nina Kaonga; Patricia Namakula; Muhadili Shemsanga; Ryan Burbach; Andrew S Kanter
Journal:  J Health Commun       Date:  2012

3.  mHealth data security: the need for HIPAA-compliant standardization.

Authors:  David D Luxton; Robert A Kayl; Matthew C Mishkind
Journal:  Telemed J E Health       Date:  2012-03-08       Impact factor: 3.536

4.  Multiple perspectives on the meaning of clinical decision support.

Authors:  Joshua E Richardson; Joan S Ash; Dean F Sittig; Arwen Bunce; James Carpenter; Richard H Dykstra; Ken Guappone; James McCormack; Carmit K McMullen; Michael Shapiro; Adam Wright; Blackford Middleton
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

5.  The missing element of telemedicine for diabetes: decision support software.

Authors:  David C Klonoff; Mark W True
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

Review 6.  Wireless technology in disease management and medicine.

Authors:  Gari D Clifford; David Clifton
Journal:  Annu Rev Med       Date:  2011-11-04       Impact factor: 13.739

7.  An evaluation of diabetes self-management applications for Android smartphones.

Authors:  Andrew P Demidowich; Kevin Lu; Ronald Tamler; Zachary Bloomgarden
Journal:  J Telemed Telecare       Date:  2012-05-17       Impact factor: 6.184

Review 8.  Diabetes management via mobile phones: a systematic review.

Authors:  Bree Holtz; Carolyn Lauckner
Journal:  Telemed J E Health       Date:  2012-02-22       Impact factor: 3.536

9.  Evolution of data management tools for managing self-monitoring of blood glucose results: a survey of iPhone applications.

Authors:  Anoop Rao; Philip Hou; Timothy Golnik; Joseph Flaherty; Sonny Vu
Journal:  J Diabetes Sci Technol       Date:  2010-07-01

Review 10.  Can computerized clinical decision support systems improve diabetes management? A systematic review and meta-analysis.

Authors:  R Jeffery; E Iserman; R B Haynes
Journal:  Diabet Med       Date:  2013-02-28       Impact factor: 4.359

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  43 in total

1.  Telemedicine for Diabetes: Current and Future Trends.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2015-12-17

2.  Accuracy and User Performance Evaluation of a New, Wireless-enabled Blood Glucose Monitoring System That Links to a Smart Mobile Device.

Authors:  Timothy S Bailey; Jane F Wallace; Scott Pardo; Mary Ellen Warchal-Windham; Bern Harrison; Robert Morin; Mark Christiansen
Journal:  J Diabetes Sci Technol       Date:  2017-02-01

3.  Pilot Study of a Novel Application for Data Visualization in Type 1 Diabetes.

Authors:  Jenise C Wong; Aaron B Neinstein; Howard Look; Brandon Arbiter; Nora Chokr; Cassie Ross; Saleh Adi
Journal:  J Diabetes Sci Technol       Date:  2017-02-08

Review 4.  Linking community resources in diabetes care: a role for technology?

Authors:  Elizabeth L Tung; Monica E Peek
Journal:  Curr Diab Rep       Date:  2015-07       Impact factor: 4.810

Review 5.  mHealth in the Prevention and Control of Non-Communicable Diseases in India: Current Possibilities and the Way Forward.

Authors:  Anindo Majumdar; Sitanshu Sekhar Kar; Ganesh Kumar S; Chinnakali Palanivel; Puneet Misra
Journal:  J Clin Diagn Res       Date:  2015-02-01

6.  Applying the Concept of Nutrient-Profiling to Promote Healthy Eating and Raise Individuals' Awareness of the Nutritional Quality of their Food.

Authors:  Mayda A Alrige; Samir Chatterjee; Ernie Medina; Jeje Nuval
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

7.  Behavioral Theory: The Missing Ingredient for Digital Health Tools to Change Behavior and Increase Adherence.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2019-01-24

8.  Medical apps in endocrine diseases - hide and seek.

Authors:  Urs-Vito Albrecht; Ute von Jan
Journal:  Ther Adv Endocrinol Metab       Date:  2014-04       Impact factor: 3.565

Review 9.  mHealth for diabetes support: a systematic review of apps available on the Italian market.

Authors:  Maria Grazia Rossi; Sarah Bigi
Journal:  Mhealth       Date:  2017-05-04

Review 10.  App-Based Insulin Calculators: Current and Future State.

Authors:  Leslie Eiland; Meghan McLarney; Thiyagarajan Thangavelu; Andjela Drincic
Journal:  Curr Diab Rep       Date:  2018-10-04       Impact factor: 4.810

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