The efficiency of Developing Mobile Applications Support Diabetes Mellitus Type 2 Self-management: A Systematic Literature Review of Recent Articles, Meta-analysis and Qualitative Assessment (Preprint)

2021 ◽  
Author(s):  
Maryam Mahabadi

BACKGROUND Applying health technologies, such as mobile applications (apps), is considered as a means of promoting health management. This research aimed to examine the consideration of developing mobile applications (apps), support diabetes mellitus type 2 (DM-2) self-management, via investigating the outcome of original articles. OBJECTIVE (1) To indicate the extend which mobile app developers considered features and specifications defined by the health technology guidelines. (2) To identify the bottlenecks of health technology guidelines by assessing and comparing them. (3) To provide a list of evidence-based recommendations for manufacturers in order to design and develop as well as verify the health mobile apps. METHODS This research is a combination of systematic literature review and meta-analysis as well as qualitative assessment. The systematic literature review and meta-analysis included the articles published within the last six years, to indicate time-related reliability to the content, indexed on Ovid, Embase, Engendering Village, and PubMed. In order to conduct a meta-analysis, the information derived from included articles was adopted in a framework made of qualitative assessment of the well-known health technology guidelines. These guidelines were published by The National Institute for Health and Care Excellence (NICE), World Health Organisation (WHO), Public Health England and the U.S. Food and Drug Administration (FDA). RESULTS After filtering all articles via a PRISMA flowchart, 37 articles were selected for further investigations. The results of the systematic literature review and meta-analysis indicated that almost all articles reported the significant role of apps in improving the health status of the users. Majority of studies were clinical trials conducted to measure the outcomes of interventions using a known mobile app. Technology-related limitations were having access to a smartphone and mobile markets, technology literacy, and malfunction of the systems. Combination of recommendations provided by included articles was conducting further studies with larger sample size to determine barriers and facilitators of available technologies integrated with mobile apps, aimed to provide patient-centred services, in a longer duration of the intervention implementation. On the other hand, the majority of articles did not report the use of any particular guideline. However, by comparing their findings with the results of the qualitative assessment of selected health technology guidelines, evidence-based documents were scarcely reported. Likewise, only a few numbers of articles briefly discussed cost-effectiveness. Almost none of them used an approved tool for evaluating the economic effect of mobile apps. CONCLUSIONS The majority of publications indicated lack of proper adherence to guidelines in designing and examining mobile applications, developed for supporting DM-2 self-management. Furthermore, a comparison of four included guidelines indicated insufficiencies in some perspectives such as safety of recorded information. The list of recommendations, produced by the results of included articles and highlights of included guidelines, facilitates producing standard mobile health apps by manufacturers.

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 400 ◽  
Author(s):  
Umm Shah ◽  
Thiam Chiew

The increasing popularity of mHealth is a promising opportunity for pain self-management. Mobile apps can be easily developed, but understanding the design and usability will result in apps that can retain more users. This research aims at identifying, analyzing, and synthesizing the current state-of-the-art of: (a) the design approach and (b) usability assessment of pain management mobile applications. A systematic literature review was conducted on 27 studies retrieved from Medline, PubMed, EMBASE, Web of Science, and Scopus. The review revealed that most of the apps were for chronic pain. No app was specifically for men or for the elderly. None of the studies involved expert-based system inspection methods. Only one study used two different approaches of automated and empirical evaluation. We mapped the identified usability issues to ISO 9241-11 and ISO/IEC 25010, and aggregated the recommendations for improvement. Moreover, we also identified certain issues that are solely concerned with the patient’s behavior. We organized the issues into taxonomies of design considerations for building usable pain self-management mobile applications. As pain is prevalent among the elderly, pain management will be much needed while moving toward an aging society. However, we found that the involvement of the elderly in the development of pain management mobile apps is very minimal, which may affect the utility and usability of the apps.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1159-P
Author(s):  
GLENN M. DAVIES ◽  
ANN MARIE MCNEILL ◽  
ELIZA KRUGER ◽  
STACEY L. KOWAL ◽  
FLAVIA EJZYKOWICZ ◽  
...  

Author(s):  
Stratigoula Politi-Georgousi ◽  
Athanasios Drigas

<p>Nowadays, mobile applications seem to play a vital role in both dyslexia screening and intervention, accumulating numerous assets and comforts in according to dyslexics’ needs and learning pace. Initial detection of students’ disabilities, followed by a corresponding intervention program were the best combination of actions in an attempt to any problem be confronted effectively. In our today’s society, mobile apps have been considered as an alternative approach for the success of these well-known key steps, as well. The aim of this literature review is to propose a great number of screening and treatment mobile applications for dyslexia. During the last decades these  have been developed or have been implemented, focused on different aspects of dyslexia symptoms (reading, writing, mathematical difficulties, memory etc.) The studies are categorized into two sections, based on the purpose for which mobile applications are used at a time. The first part reflects a mobile app as a detection tool, while the second part presents it as intervention tool.</p>


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