Barriers and drivers regarding the use of mobile health applications among type 2 diabetes patients in the Netherlands: an explanatory sequential design (Preprint)

2021 ◽  
Author(s):  
Marloes Bults ◽  
Catharina Margaretha Van Leersum ◽  
Theo Olthuis ◽  
Robin Bekhuis ◽  
Marjolein Elisabeth Maria Den Ouden

BACKGROUND In the Netherlands, type 2 diabetes mellitus (T2DM) is one of the most common chronic diseases and the number of patients is expected to increase in the coming years. Self-monitoring of blood glucose levels, food intake and physical activity supports the self-management of patients with T2DM. In the past few years, there has been a rise in the development and availability of mobile health applications (apps) for T2DM. OBJECTIVE The aim of this study was to explore the actual use of diabetes mobile health applications among T2DM-patients and main barriers and drivers among app-users and non-users. METHODS An explanatory sequential design was applied, starting with a web-based questionnaire followed by semi-structured in-depth interviews. Data were collected between July and December 2020. Questionnaire data from 103 respondents were analyzed using IBM SPSS Statistics 25.0. Descriptive statistics were performed for actual use of apps among T2DM-patients and the individual items of the Unified Theory of Acceptance and Use of Technology (UTAUT). Differences between users and non-users were tested through chi-square tests for the individual items. Independent t-tests were performed to test for differences in mean scores per UTAUT-construct. A total of 16 respondents contributed to the in-depth interviews, of which ten were users and six non-users of apps for T2DM. Content analysis with a deductive approach was performed on all transcripts guided by the UTAUT. RESULTS Regarding actual use, 55% (n=57) were non-users and 45% (n=46) were users of apps for T2DM. Mean scores were significantly higher among users of apps for T2DM for the constructs performance expectancy, effort expectancy, facilitating conditions and knowledge compared to the non-users (P<.001). One of the main drivers for use was the belief that using diabetes-apps would result in better personal health and well-being. Time and energy needed to keep track of data and understand the app were mentioned as barriers. Users scored significantly higher regarding social influence compared to the non-users (P.007). Healthcare professionals play an important role in the support of T2DM-patients in using apps. Respondents wanted to use the apps and acquired data together with their healthcare professionals. However, respondents noticed that their professionals often were not supportive regarding the use of diabetes-apps, didn’t had interest or did not talk about apps or acquired data. Reimbursement by insurance companies was mentioned as missing facilitator. CONCLUSIONS Empowering healthcare professionals’ engagement is of utmost important to support T2DM-patients in using apps. Insurance companies can have a role in facilitating the use of diabetes-apps, for example to assure reimbursement. Further research should focus on evaluation of patients experiences with different diabetes-apps and how to integrate mobile health applications with diabetes self-management care.

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 357
Author(s):  
Chen Wang ◽  
Huiying Qi

Purpose/Significance: Mobile health applications provide a convenient way for users to obtain health information and services. Studying the factors that influence users’ acceptance and use of mobile health applications (apps or Apps) will help to improve users’ actual usage behavior. Method/Process: Based on the literature review method and using the Web of Science core database as the data source, this paper summarizes the relevant research results regarding the influencing factors of the acceptance and use behavior of mobile health application users and makes a systematic review of the influencing factors from the perspectives of the individual, society, and application (app or App) design. Result/Conclusion: In terms of the individual dimension, the users’ behavior is influenced by demographic characteristics and motivations. Social attributes, source credibility, and legal issues all affect user behavior in the social dimension. In the application design dimension, functionality, perceived ease of use and usefulness, security, and cost are the main factors. At the end of the paper, suggestions are given to improve the users’ acceptability of mobile health applications and improve their use behavior.


2020 ◽  
Author(s):  
Esrat Jahan ◽  
Rawan Almansour ◽  
Kiran Ijaz ◽  
Rimante Ronto ◽  
Liliana Laranjo

Diabetes mellitus is a leading cause of concern among non-communicable diseases worldwide, with its prevalence increasing every day. Studies have shown that it is possible to prevent type 2 diabetes in high risk people if they adopt a healthy lifestyle, such as exercising regularly, eating nutritious food and maintaining an ideal weight. Mobile apps may aid these people in maintaining a healthy lifestyle. Till date, no systematic review has evaluated the use of mobile health applications for the prevention of type 2 diabetes. In this systematic review protocol we will lay out the methods we will use to synthesise the evidence about mobile health applications for the prevention of type 2 diabetes, focusing particularly on their impact on different process and outcome measures, as well as on patient perspectives. Database searches will be done in PubMed, Embase, CINAHL and PsychInfo. Screening of the articles will be conducted by two independent researchers. The Cochrane risk of bias tool will be used for quality assessment. A narrative synthesis of the included articles will be done and the results summarised. The findings of this review will provide evidence on the impact of mobile applications in preventing Type 2 diabetes mellitus.


2020 ◽  
Vol 10 (1) ◽  
pp. 11 ◽  
Author(s):  
Ivan Miguel Pires ◽  
Gonçalo Marques ◽  
Nuno M. Garcia ◽  
Francisco Flórez-Revuelta ◽  
Vasco Ponciano ◽  
...  

Mobile health applications are applied for different purposes. Healthcare professionals and other users can use this type of mobile applications for specific tasks, such as diagnosis, information, prevention, treatment, and communication. This paper presents an analysis of mobile health applications used by healthcare professionals and their patients. A secondary objective of this article is to evaluate the scientific validation of these mobile health applications and to verify if the results provided by these applications have an underlying sound scientific foundation. This study also analyzed literature references and the use of mobile health applications available in online application stores. In general, a large part of these mobile health applications provides information about scientific validation. However, some mobile health applications are not validated. Therefore, the main contribution of this paper is to provide a comprehensive analysis of the usability and user-perceived quality of mobile health applications and the challenges related to scientific validation of these mobile applications.


2015 ◽  
Author(s):  
Roberto Moro Visconti ◽  
Alberto Larocca ◽  
Michele Marconi

2020 ◽  
Author(s):  
Claudia Eberle ◽  
Maxine Löhnert

BACKGROUND Gestational diabetes mellitus (GDM) emerges worldwide and is closely associated with short- and long-term health issues in women and their offspring, such as pregnancy and birth complications respectively comorbidities, Type 2 Diabetes (T2D), Metabolic Syndrome (MetS) as well as cardiovascular disease (CD). Against this background mobile health applications (mHealth-Apps) do open up new possibilities to improve the management of GDM clearly. OBJECTIVE Since there is – to our knowledge – no systematic literature review published, which focusses on the effectiveness of specific mHealth-Apps on clinical health-related short and long-term outcomes of mother and child, we conducted these much-needed analyses. METHODS Data sources: A systematic literature search in Medline (Pubmed), Cochrane Library, Embase, CINAHL and Web of Science was performed including full text publications since 2008 up to date. An additional manual search in references and Google Scholar was conducted subsequently. Study Eligibility Criteria: Women diagnosed with GDM using specific mHealth-Apps during pregnancy compared to control groups, which met main clinical parameters and outcomes in GDM management as well as maternity and offspring care. Study appraisal and synthesis methods: Study quality was assessed and rated “strong”, “moderate” or “weak” by using the Effective Public Health Practice Project (EPHPP) tool. Study results were strongly categorized by outcomes; an additional qualitative summary was assessed. Study selection: Overall, n= 114 studies were analyzed, n= 46 duplicates were removed, n=5 studies met the eligible criteria and n=1 study was assessed by manual search subsequently. In total, n=6 publications, analyzing n=408 GDM patients in the interventional and n=405 women diagnosed with GDM in the control groups, were included. These studies were divided into n=5 two-arm randomized controlled trials (RCT) and n=1 controlled clinical trial (CCT). RESULTS Distinct improvements in clinical parameters and outcomes, such as fasting blood glucoses (FBG), 2-hour postprandial blood glucoses (PBG), off target blood glucose measurements (OTBG), delivery modes and patient compliance were analyzed in GDM patients using specific mHealth-Apps compared to matched control groups. CONCLUSIONS mHealth-Apps clearly improve clinical outcomes in management of GDM effectively. More studies need to be done more in detail.


Author(s):  
Sahar Khenarinezhad ◽  
Ehsan Ghazanfari Savadkoohi ◽  
Leila Shahmoradi

Aim: During the epidemic and with an increase in coronavirus (COVID-19) disease prevalence, emergency care is essential to help people stay informed and undertake self-management measures to protect their health. One of these self-management procedures is the use of mobile apps in health. Mobile health (mHealth) applications include mobile devices in collecting clinical health data, sharing healthcare information for practitioners and patients, real-time monitoring of patient vital signs, and the direct provision of care (via mobile telemedicine). Mobile apps are increasing to improve health, but before healthcare providers can recommend these applications to patients, they need to be sure the apps will help change patients' lifestyles. Method: A search was conducted systematically using the keywords "Covid-19," "Coronavirus," "Covid-19, and Self-management" at the "Apple App Store". Then we evaluated the apps according to MARS criteria in May 2020. Results: A total of 145 apps for COVID-19 self-management were identified, but only 32 apps met our inclusion criteria after being assessed. The overall mean MARS score was 2.9 out of 5, and more than half of the apps had a minimum acceptability score (range 2.5-3.9). The "who academy" app received the highest functionality score. Who Academy, Corona-Care and First Responder COVID-19 Guide had the highest scores for behavior change. Conclusion: Our findings showed that few apps meet the quality, content, and functionality criteria for Covid-19 self-management. Therefore, developers should use evidence-based medical guidelines in creating mobile health applications so that, they can provide comprehensive and complete information to both patients and healthcare provider.


2017 ◽  
Vol 33 (9) ◽  
pp. 1-6
Author(s):  
Adam Rosenfeld ◽  
Sachin Pendse ◽  
Nicole R. Nugent

2018 ◽  
Vol 35 (4) ◽  
pp. 815-825 ◽  
Author(s):  
Hao-Yun Kao ◽  
Chun-Wang Wei ◽  
Min-Chun Yu ◽  
Tyng-Yeu Liang ◽  
Wen-Hsiung Wu ◽  
...  

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