Literature DB >> 30963188

Digital health technology and mobile devices for the management of diabetes mellitus: state of the art.

Rongzi Shan1,2, Sudipa Sarkar1,3, Seth S Martin4,5.   

Abstract

Diabetes mellitus is a disease that can be difficult to manage and requires high levels of health literacy and numeracy, self-monitoring and frequent contact with clinicians. If not optimally controlled, diabetes can lead to kidney failure, blindness and cardiovascular complications, which, in turn, contribute to increasing healthcare costs. Although not yet widely used, mobile health (mHealth) tools have enhanced diabetes management and prevention and are likely to play an increasing role with the growth of smartphone ownership and medical device innovations. Recent mHealth interventions targeting type 1 and type 2 diabetes are diverse in their goals and components, and include insulin management applications, wearable blood glucose meters, automated text messages, health diaries and virtual health coaching. In this paper, we review the modalities and components of various impactful interventions for insulin management, diabetes education, self-management and prevention. More work is needed to investigate how individual demographic, socioeconomic, behavioural and clinical characteristics contribute to patient engagement and the efficacy of mHealth tools for diabetes.

Entities:  

Keywords:  Diabetes; Digital health; Glucose monitoring; HbA1c; Precision medicine; Review; Self-monitoring; Smartphones; Wearables; mHealth

Mesh:

Substances:

Year:  2019        PMID: 30963188     DOI: 10.1007/s00125-019-4864-7

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  31 in total

1.  Efficacy of automatic bolus calculator with automatic speech recognition in patients with type 1 diabetes: A randomized cross-over trial.

Authors:  Piotr Foltynski; Piotr Ladyzynski; Ewa Pankowska; Karolina Mazurczak
Journal:  J Diabetes       Date:  2018-02-09       Impact factor: 4.006

2.  Mobile phone-based video messages for diabetes self-care support.

Authors:  Amanda M Bell; Stephanie J Fonda; M Susan Walker; Virginia Schmidt; Robert A Vigersky
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

3.  Novel glucose-sensing technology and hypoglycaemia in type 1 diabetes: a multicentre, non-masked, randomised controlled trial.

Authors:  Jan Bolinder; Ramiro Antuna; Petronella Geelhoed-Duijvestijn; Jens Kröger; Raimund Weitgasser
Journal:  Lancet       Date:  2016-09-12       Impact factor: 79.321

4.  Disparities in the Prevalence of Diagnosed Diabetes - United States, 1999-2002 and 2011-2014.

Authors:  Gloria L Beckles; Chiu-Fang Chou
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2016-11-18       Impact factor: 17.586

5.  Dulce Digital: An mHealth SMS-Based Intervention Improves Glycemic Control in Hispanics With Type 2 Diabetes.

Authors:  Addie L Fortmann; Linda C Gallo; Maria Isabel Garcia; Mariam Taleb; Johanna A Euyoque; Taylor Clark; Jessica Skidmore; Monica Ruiz; Sapna Dharkar-Surber; James Schultz; Athena Philis-Tsimikas
Journal:  Diabetes Care       Date:  2017-06-09       Impact factor: 19.112

6.  WellDoc mobile diabetes management randomized controlled trial: change in clinical and behavioral outcomes and patient and physician satisfaction.

Authors:  Charlene C Quinn; Suzanne Sysko Clough; James M Minor; Dan Lender; Maria C Okafor; Ann Gruber-Baldini
Journal:  Diabetes Technol Ther       Date:  2008-06       Impact factor: 6.118

7.  Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control.

Authors:  Charlene C Quinn; Michelle D Shardell; Michael L Terrin; Erik A Barr; Shoshana H Ballew; Ann L Gruber-Baldini
Journal:  Diabetes Care       Date:  2011-07-25       Impact factor: 19.112

8.  DIABEO App Software and Telemedicine Versus Usual Follow-Up in the Treatment of Diabetic Patients: Protocol for the TELESAGE Randomized Controlled Trial.

Authors:  Nathalie Jeandidier; Lucy Chaillous; Sylvia Franc; Pierre-Yves Benhamou; Pauline Schaepelynck; Hélène Hanaire; Bogdan Catargi; Anne Farret; Pierre Fontaine; Bruno Guerci; Yves Reznik; Alfred Penfornis; Sophie Borot; Pierre Serusclat; Yacine Kherbachi; Geneviève D'Orsay; Bruno Detournay; Pierre Simon; Guillaume Charpentier
Journal:  JMIR Res Protoc       Date:  2018-04-19

9.  Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis.

Authors:  Charlene Connolly Quinn; Erin C Butler; Krystal K Swasey; Michelle D Shardell; Michael D Terrin; Erik A Barr; Ann L Gruber-Baldini
Journal:  JMIR Mhealth Uhealth       Date:  2018-02-02       Impact factor: 4.773

10.  Diabetes Prevention and Weight Loss with a Fully Automated Behavioral Intervention by Email, Web, and Mobile Phone: A Randomized Controlled Trial Among Persons with Prediabetes.

Authors:  Gladys Block; Kristen Mj Azar; Robert J Romanelli; Torin J Block; Donald Hopkins; Heather A Carpenter; Marina S Dolginsky; Mark L Hudes; Latha P Palaniappan; Clifford H Block
Journal:  J Med Internet Res       Date:  2015-10-23       Impact factor: 7.076

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  58 in total

1.  Patient and supporter factors affecting engagement with diabetes telehealth.

Authors:  Margaret F Zupa; John D Piette; Shelley C Stoll; D Scott Obrosky; Monique Boudreaux-Kelly; Ada O Youk; Luc Overholt; Ranak Trivedi; Michele Heisler; Ann-Marie Rosland
Journal:  Am J Manag Care       Date:  2021-10       Impact factor: 2.229

2.  Associations of polysocial risk score, lifestyle and genetic factors with incident type 2 diabetes: a prospective cohort study.

Authors:  Yimin Zhao; Yueying Li; Zhenhuang Zhuang; Zimin Song; Wenxiu Wang; Ninghao Huang; Xue Dong; Wendi Xiao; Jinzhu Jia; Zhonghua Liu; Duo Li; Tao Huang
Journal:  Diabetologia       Date:  2022-07-21       Impact factor: 10.460

3.  Level of Digitalization in Germany: Results of the Diabetes Digitalization and Technology (D.U.T) Report 2020.

Authors:  Timm Roos; Sabine Hochstadt; Winfried Keuthage; Jens Kröger; Andreas Lueg; Hansjörg Mühlen; Lisa Schütte; Nikolaus Scheper; Dominic Ehrmann; Norbert Hermanns; Lutz Heinemann; Bernhard Kulzer
Journal:  J Diabetes Sci Technol       Date:  2020-10-27

4.  A remote healthcare monitoring framework for diabetes prediction using machine learning.

Authors:  Jayroop Ramesh; Raafat Aburukba; Assim Sagahyroon
Journal:  Healthc Technol Lett       Date:  2021-05-02

Review 5.  Wearable Devices: Current Status and Opportunities in Pain Assessment and Management.

Authors:  Andrew Leroux; Rachael Rzasa-Lynn; Ciprian Crainiceanu; Tushar Sharma
Journal:  Digit Biomark       Date:  2021-04-19

Review 6.  A Scoping Review and General User's Guide for Facilitating the Successful Use of eHealth Programs for Diabetes in Clinical Care.

Authors:  Lawrence Fisher; Russell E Glasgow; Amy Huebschmann
Journal:  Diabetes Technol Ther       Date:  2020-08-31       Impact factor: 6.118

7.  Personalized Type 2 Diabetes Management Using a Mobile Application Integrated with Electronic Medical Records: An Ongoing Randomized Controlled Trial.

Authors:  Eun-Young Lee; Jae-Seung Yun; Seon-Ah Cha; Sun-Young Lim; Jin-Hee Lee; Yu-Bae Ahn; Kun-Ho Yoon; Seung-Hyun Ko
Journal:  Int J Environ Res Public Health       Date:  2021-05-16       Impact factor: 3.390

8.  Improvement in Glucose Regulation Using a Digital Tracker and Continuous Glucose Monitoring in Healthy Adults and Those with Type 2 Diabetes.

Authors:  Ashkan Dehghani Zahedani; Solmaz Shariat Torbaghan; Salar Rahili; Kirill Karlin; Darrin Scilley; Riya Thakkar; Maziyar Saberi; Noosheen Hashemi; Dalia Perelman; Nima Aghaeepour; Tracey McLaughlin; Michael P Snyder
Journal:  Diabetes Ther       Date:  2021-05-28       Impact factor: 2.945

9.  Facilitators and barriers of using digital technology for the management of diabetic foot ulcers: A qualitative systematic review.

Authors:  Hui Foh Foong; Bhone Myint Kyaw; Zee Upton; Lorainne Tudor Car
Journal:  Int Wound J       Date:  2020-05-10       Impact factor: 3.315

Review 10.  Mobile health in preventive cardiology: current status and future perspective.

Authors:  Michael Kozik; Nino Isakadze; Seth S Martin
Journal:  Curr Opin Cardiol       Date:  2021-09-01       Impact factor: 2.108

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