Literature DB >> 33587045

Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review.

Claudia Eberle1, Maxine Löhnert1, Stefanie Stichling1.   

Abstract

BACKGROUND: According to the World Health Organization, the worldwide prevalence of diabetes mellitus (DM) is increasing dramatically and DM comprises a large part of the global burden of disease. At the same time, the ongoing digitalization that is occurring in society today offers novel possibilities to deal with this challenge, such as the creation of mobile health (mHealth) apps. However, while a great variety of DM-specific mHealth apps exist, the evidence in terms of their clinical effectiveness is still limited.
OBJECTIVE: The objective of this review was to evaluate the clinical effectiveness of mHealth apps in DM management by analyzing health-related outcomes in patients diagnosed with type 1 DM (T1DM), type 2 DM (T2DM), and gestational DM.
METHODS: A scoping review was performed. A systematic literature search was conducted in MEDLINE (PubMed), Cochrane Library, EMBASE, CINAHL, and Web of Science Core Collection databases for studies published between January 2008 and October 2020. The studies were categorized by outcomes and type of DM. In addition, we carried out a meta-analysis to determine the impact of DM-specific mHealth apps on the management of glycated hemoglobin (HbA1c).
RESULTS: In total, 27 studies comprising 2887 patients were included. We analyzed 19 randomized controlled trials, 1 randomized crossover trial, 1 exploratory study, 1 observational study, and 5 pre-post design studies. Overall, there was a clear improvement in HbA1c values in patients diagnosed with T1DM and T2DM. In addition, positive tendencies toward improved self-care and self-efficacy as a result of mHealth app use were found. The meta-analysis revealed an effect size, compared with usual care, of a mean difference of -0.54% (95% CI -0.8 to -0.28) for T2DM and -0.63% (95% CI -0.93 to -0.32) for T1DM.
CONCLUSIONS: DM-specific mHealth apps improved the glycemic control by significantly reducing HbA1c values in patients with T1DM and T2DM patients. In general, mHealth apps effectively enhanced DM management. However, further research in terms of clinical effectiveness needs to be done in greater detail. ©Claudia Eberle, Maxine Löhnert, Stefanie Stichling. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 15.02.2021.

Entities:  

Keywords:  diabetes mellitus; mHealth apps; medical apps; mobile apps

Year:  2021        PMID: 33587045      PMCID: PMC7920757          DOI: 10.2196/23477

Source DB:  PubMed          Journal:  JMIR Mhealth Uhealth        ISSN: 2291-5222            Impact factor:   4.773


  56 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.  Designing a diabetes mobile application with social network support.

Authors:  Taridzo Chomutare; Naoe Tatara; Eirik Årsand; Gunnar Hartvigsen
Journal:  Stud Health Technol Inform       Date:  2013

Review 3.  Rapid Evidence Review of Mobile Applications for Self-management of Diabetes.

Authors:  Stephanie Veazie; Kara Winchell; Jennifer Gilbert; Robin Paynter; Ilya Ivlev; Karen B Eden; Kerri Nussbaum; Nicole Weiskopf; Jeanne-Marie Guise; Mark Helfand
Journal:  J Gen Intern Med       Date:  2018-05-08       Impact factor: 5.128

Review 4.  T2DM Self-Management via Smartphone Applications: A Systematic Review and Meta-Analysis.

Authors:  Mingxuan Cui; Xueyan Wu; Jiangfeng Mao; Xi Wang; Min Nie
Journal:  PLoS One       Date:  2016-11-18       Impact factor: 3.240

5.  General self-efficacy and diabetes management self-efficacy of diabetic patients referred to diabetes clinic of Aq Qala, North of Iran.

Authors:  Ghorban Mohammad Kouchaki; Mostafa Qorbani; Hajar Dehghan; Abdurrahman Charkazi; Bagher Pahlevan Zadeh; Bibi Azizieh Dehghan; Mohammad Matlabi; Morteza Mansourian; Omid Safari; Tahereh Pashaei; Babak Rastegari Mehr
Journal:  J Diabetes Metab Disord       Date:  2017-02-15

6.  Exploring the Influence of a Smartphone App (Young with Diabetes) on Young People's Self-Management: Qualitative Study.

Authors:  Gitte Reventlov Husted; Janne Weis; Grete Teilmann; Pernille Castensøe-Seidenfaden
Journal:  JMIR Mhealth Uhealth       Date:  2018-02-28       Impact factor: 4.773

7.  Effects of mobile phone application combined with or without self-monitoring of blood glucose on glycemic control in patients with diabetes: A randomized controlled trial.

Authors:  Yuan Yu; Qun Yan; Huizhi Li; Hongmei Li; Lin Wang; Hua Wang; Yiyun Zhang; Lei Xu; Zhaosheng Tang; Xinfeng Yan; Yinghua Chen; Huili He; Jie Chen; Bo Feng
Journal:  J Diabetes Investig       Date:  2019-03-19       Impact factor: 4.232

8.  Mobile and Web-Based Apps That Support Self-Management and Transition in Young People With Chronic Illness: Systematic Review.

Authors:  Yisselle Ilene Virella Pérez; Sharon Medlow; Jane Ho; Katharine Steinbeck
Journal:  J Med Internet Res       Date:  2019-11-20       Impact factor: 5.428

9.  Double or hybrid diabetes: A systematic review on disease prevalence, characteristics and risk factors.

Authors:  Jomana Khawandanah
Journal:  Nutr Diabetes       Date:  2019-11-04       Impact factor: 5.097

10.  DM-calendar app as a diabetes self-management education on adult type 2 diabetes mellitus: a randomized controlled trial.

Authors:  Komang Agus Jerry Widyanata; Hidayat Arifin
Journal:  J Diabetes Metab Disord       Date:  2019-11-19
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  7 in total

1.  Effects of a Novel Blood Glucose Forecasting Feature on Glycemic Management and Logging in Adults With Type 2 Diabetes Using One Drop: Retrospective Cohort Study.

Authors:  Steven D Imrisek; Matthew Lee; Dan Goldner; Harpreet Nagra; Lindsey M Lavaysse; Jamillah Hoy-Rosas; Jeff Dachis; Lindsay E Sears
Journal:  JMIR Diabetes       Date:  2022-05-03

2.  Current Status of Out-of-Hospital Management of Cancer Patients and Awareness of Internet Medical Treatment: A Questionnaire Survey.

Authors:  Shuang Dai; Xiaoqin Liu; Xi Chen; Jun Bie; Chi Du; Jidong Miao; Ming Jiang
Journal:  Front Public Health       Date:  2021-12-14

3.  Japanese Version of the Mobile App Rating Scale (MARS): Development and Validation.

Authors:  Kazumichi Yamamoto; Masami Ito; Masatsugu Sakata; Shiho Koizumi; Mizuho Hashisako; Masaaki Sato; Stoyan R Stoyanov; Toshi A Furukawa
Journal:  JMIR Mhealth Uhealth       Date:  2022-04-14       Impact factor: 4.947

4.  Willingness to Receive mHealth Messages Among Diabetic Patients at Mizan Tepi University Teaching Hospital: Implications for Digital Health.

Authors:  Biruk Bogale; Aklilu Habte; Dereje Haile; Mirresa Guteta; Nuredin Mohammed; Mathewos Alemu Gebremichael
Journal:  Patient Prefer Adherence       Date:  2022-06-22       Impact factor: 2.314

Review 5.  Mobile Apps for People With Rare Diseases: Review and Quality Assessment Using Mobile App Rating Scale.

Authors:  Sarah Hatem; Janet C Long; Stephanie Best; Zoe Fehlberg; Bróna Nic Giolla Easpaig; Jeffrey Braithwaite
Journal:  J Med Internet Res       Date:  2022-07-26       Impact factor: 7.076

6.  Comprehension Profile of Patient Education Materials in Endocrine Care.

Authors:  Som P Singh; Fahad M Qureshi; Kiera G Borthwick; Sagar Singh; Shreya Menon; Brandon Barthel
Journal:  Kans J Med       Date:  2022-07-21

7.  Evaluating the Usability of mHealth Applications on Type 2 Diabetes Mellitus Using Various MCDM Methods.

Authors:  Kamaldeep Gupta; Sharmistha Roy; Ramesh Chandra Poonia; Soumya Ranjan Nayak; Raghvendra Kumar; Khalid J Alzahrani; Mrim M Alnfiai; Fahd N Al-Wesabi
Journal:  Healthcare (Basel)       Date:  2021-12-21
  7 in total

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