A systematic review of mHealth funded R&amp;D activities in EU: Trends, technologies and obstacles

Koumpouros, Yiannis; Georgoulas, Aggelos

doi:10.1080/17538157.2019.1656208

Cited by 22 publications

(20 citation statements)

References 6 publications

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“…4 According to recent medical trends, many health professionals and researchers were increasingly interested in mobile health, known as mHealth, because mHealth has enormous potential to strengthen healthcare systems through better access to information. 5 Although mHealth use has widely increased due to its low price and ease of use, mHealth's effectiveness still needed to be verified. 6 Positive changes were occurring in the effective use of mobile health.…”

Section: Introductionmentioning

confidence: 99%

What Factors Affect a User’s Intention to Use Fitness Applications? The Moderating Effect of Health Status: A Cross-Sectional Study

Kim

Lee

2022

INQUIRY

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Objective Fitness applications are becoming a tool for users who want to exercise and diet. This study examines what factors affect users’ intention to use fitness applications and how they depend on users’ health status. Methods An online survey was conducted on 428 potential fitness application users from South Korea. For this study, the extended unified theory of acceptance and use of technology (UTAUT2) was applied, and structural equation models were used for the data analysis. Results The results showed that for potential fitness application users, performance expectancy, effort expectancy, hedonic motivation, and perceived privacy protection were significant variables; however, social influence was insignificant. Factors influencing users’ intention to use fitness applications will vary depending on health status. Conclusion This study provides the following implications for health researchers, fitness application designers, and marketers. When trying to use fitness application, values such as performance expectancy, effort expectancy, hedonic motivation, and perceived privacy protection should be emphasized. In particular, for users with chronic diseases, the performance expectancy of fitness apps is more critical than any other factor.

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Section: Introductionmentioning

confidence: 99%

What Factors Affect a User’s Intention to Use Fitness Applications? The Moderating Effect of Health Status: A Cross-Sectional Study

Kim

Lee

2022

INQUIRY

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“…The process started with a review of the KPI identi cation methods. Most AHA related projects that use KPIs for their platform evaluation focuses on formulating an ad hoc list of KPIs rather than developing a holistic method to identify them (23)(24)(25); however, there are different methodologies to develop KPIs in different elds and they are validated to be used in analogous domains: literature reviews, interviews with industry experts and researchers, and questionnaire-based surveys are the most commonly used methods (26, 27). However, to avoid any possible bias due to the opinion of experts and provide a more objective selection of KPIs that include all relevant stakeholder's vision, a bi-index method was selected to support and balance the needs and goals of stakeholders in the evaluation of the open AHA platform (4).…”

Section: Identi Cation and Selection Of Kpismentioning

confidence: 99%

Boosting the digitalization of social and care services: A methodological approach for the evaluation and uptake of Open Service Platforms in the Active and Healthy Ageing (AHA) domain

Abril-Jiménez

Carvajal-Flores

Cabrera-Umpiérrez

et al. 2023

Preprint

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Background: The massive use of digital technologies has created a wide number of opportunities to improve Active and Healthy Ageing (AHA) services and products and respond to the socioeconomic and healthcare challenges caused by the growing ageing population. Therefore, a considerable number of digital AHA platforms have been produced in recent years. These platforms are operational on similar services within the same domain, competing or complementing each other in most cases. This makes it difficult for service providers, developers, and public administrations to choose based on the available options and their benefits. Methods: Responding to the need of providing information on prioritization and understanding the real value of these platforms to support decision making on the correct selection, this study understands the different characteristics and differences of the currently available services platforms, to get a comprehensive view directly through the feedback of platforms owners (both developers and managers) with the participatory involvement of every of the stakeholders contributing in the AHA services provision and consumption. Results: The paper develops and applies the proposed methodology into a specific AHA use case. Our findings suggest that this method can be considered an effective framework to define a set of Key Performance Indicators (KPIs) to track the successful uptake and evolution of existing platforms thanks to the combination of the different stakeholders’ visions and interests at the different interventions levels. Conclusions: The proposed method led us to proposing a comprehensive list of KPIs, which has evolved along the process to a minimum set of KPIs, that are relevant for the methodologically measure the success of digital AHA platforms, according to four different perspectives: primary end-users, technological providers, end-users consumers and government, and at different levels of integration: user, community and municipalities.

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“…mHealth exploits the different functionalities of mobile phones (e.g., short messaging service (SMS), general packet radio service (GPRS), third and fourth generation mobile telecommunications (3G and 4G systems), global positioning system (GPS), and Bluetooth technology) to serve the needs of the different health clients (health professional, patients, citizens, health organizations). mHealth applications offer virtually every stakeholder a better outcome [10]. The use of mobile apps for pain management and tracking has been evident for many years, even though the early attempts were relatively primitive [11].…”

Section: Introductionmentioning

confidence: 99%

User-Centric Design Methodology for mHealth Apps: The PainApp Paradigm for Chronic Pain

Koumpouros

2022

Technologies

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The paper presents a user-centric methodology in order to design successful mobile health (mHealth) applications. In addition to the theoretical background, such an example is presented with an application targeting chronic pain. The pain domain was decided due to its significance in many aspects: its complexity, dispersion in the population, the financial burden it causes, etc. The paper presents a step-by-step plan in order to build mobile health applications. Participatory design and interdisciplinarity are only some of the critical issues towards the desired result. In the given example (development of the PainApp), a participatory design was followed with a team of seventeen stakeholders that drove the design and development phases. Three physicians, one behavioral scientist, three IT and UX experts, and ten patients collaborated together to develop the final solution. The several features implemented in the PainApp solution are presented in details. The application is threefold: it supports the management, reporting, and treatment effectiveness monitoring. The paper is giving details on the methodological approach while presenting insights on the actual plan and the steps followed for having a patient-centric solution. Key success factors and barriers to mobile health applications that support the need for such an approach are also presented.

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A systematic review of mHealth funded R&D activities in EU: Trends, technologies and obstacles

Cited by 22 publications

References 6 publications

What Factors Affect a User’s Intention to Use Fitness Applications? The Moderating Effect of Health Status: A Cross-Sectional Study

What Factors Affect a User’s Intention to Use Fitness Applications? The Moderating Effect of Health Status: A Cross-Sectional Study

Boosting the digitalization of social and care services: A methodological approach for the evaluation and uptake of Open Service Platforms in the Active and Healthy Ageing (AHA) domain

User-Centric Design Methodology for mHealth Apps: The PainApp Paradigm for Chronic Pain

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