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2nd Edition: Mobile Health Interventions
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2nd Edition: Mobile Health Interventions

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Digital Health".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 4626

Special Issue Editor

Dr. Sung-Hee Kim

E-Mail Website
Guest Editor
Industrial ICT Engineering, Dong-eui University, Busan 47340, Republic of Korea
Interests: data visualization; human–computer interaction; health informatics; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are organizing a second edition of the Special Issue entitled “Mobile Health Interventions.” Our first edition included diverse research topics from new interfaces or algorithms in mobile health applications to reviews/evaluations of applications. With the significant developments in mobile technology, mobile health is expanding its field in the digital health sector, providing individuals with healthcare support in both clinical and non-clinical populations. The range of applications varies from helping individuals’ lifestyles, such as improving fitness or food consumption, to supporting chronic diseases. The diseases and target users are also diverse. Due to the wide range of support, there are important research areas for designing health intervention systems and implementing them to enhance their impact. Additionally, a large amount of data are being collected and configured for personalization, driven by artificial intelligence. In this Special Issue, we invite you to share your work on mobile health interventions, which will positively impact the future to facilitate and improve care delivery effectively.

You may choose our Joint Special Issue in Applied Sciences.

Dr. Sung-Hee Kim
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • mobile health
  • telemedicine
  • behavioral change
  • personalization
  • wearable devices
  • chronic disease
  • elderly and diabetes
  • neurodegenerative diseases
  • behavioral change
  • data-driven decisions
  • physical activity
  • self-management
  • machine learning
  • digital health
  • digital therapeutics
  • digital literacy
  • health literacy

Published Papers (2 papers)

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Research

17 pages, 1923 KiB  
Article
Modelling the Predictors of Mobile Health (mHealth) Adoption among Healthcare Professionals in Low-Resource Environments
by Mehreen Azam, Salman Bin Naeem, Maged N. Kamel Boulos and Anthony Faiola
Int. J. Environ. Res. Public Health 2023, 20(23), 7112; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph20237112 - 26 Nov 2023
Cited by 1 | Viewed by 1773
Abstract
This study was conducted with objectives to measure and validate the unified theory of the acceptance and use of technology (UTAUT) model as well as to identify the predictors of mobile health (mHealth) technology adoption among healthcare professionals in limited-resource settings. A cross-sectional [...] Read more.
This study was conducted with objectives to measure and validate the unified theory of the acceptance and use of technology (UTAUT) model as well as to identify the predictors of mobile health (mHealth) technology adoption among healthcare professionals in limited-resource settings. A cross-sectional survey was conducted at the six public and private hospitals in the two districts (Lodhran and Multan) of Punjab, Pakistan. The participants of the study comprised healthcare professionals (registered doctors and nurses) working in the participating hospitals. The findings of the seven-factor measurement model showed that behavioral intention (BI) to mHealth adoption is significantly influenced by performance expectancy (β = 0.504, CR = 5.064, p < 0.05) and self-concept (β = 0.860, CR = 5.968, p < 0.05) about mHealth technologies. The findings of the structural equation model (SEM) showed that the model is acceptable (χ2 (df = 259) = 3.207; p = 0.000; CFI = 0.891, IFI = 0.892, TLI = 0.874, RMSEA = 0.084). This study suggests that the adoption of mHealth can significantly help in improving people’s access to quality healthcare resources and services as well as help in reducing costs and improving healthcare services. This study is significant in terms of identifying the predictors that play a determining role in the adoption of mHealth among healthcare professionals. This study presents an evidence-based model that provides an insight to policymakers, health organizations, governments, and political leaders in terms of facilitating, promoting, and implementing mHealth adoption plans in low-resource settings, which can significantly reduce health disparities and have a direct impact on health promotion. Full article
(This article belongs to the Special Issue 2nd Edition: Mobile Health Interventions)
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16 pages, 386 KiB  
Article
Functions of mHealth Diabetes Apps That Enable the Provision of Pharmaceutical Care: Criteria Development and Evaluation of Popular Apps
by Bushra Ali Sherazi, Stephanie Laeer, Svea Krutisch, Armin Dabidian, Sabina Schlottau and Emina Obarcanin
Int. J. Environ. Res. Public Health 2023, 20(1), 64; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph20010064 - 21 Dec 2022
Cited by 2 | Viewed by 2184
Abstract
Personal digital health apps for managing diabetes should include functions that enable the provision of pharmaceutical care services and allow within-app communication with pharmacists and other healthcare providers, thereby improving patient outcomes. The primary aim of this study was to assess the functions [...] Read more.
Personal digital health apps for managing diabetes should include functions that enable the provision of pharmaceutical care services and allow within-app communication with pharmacists and other healthcare providers, thereby improving patient outcomes. The primary aim of this study was to assess the functions of diabetes apps that were relevant to providing pharmaceutical care services (i.e., medication management, adherence, non-pharmacological management, interoperability, and communication). Sixteen criteria related to pharmaceutical care were developed and then used to assess ten popular diabetes apps. The highest numbers of pharmaceutical care criteria were met by the apps Diabetes:M and mySugr (11 criteria); Contour™Diabetes, Dario Health, and OneTouch Reveal® (ten); and DiabetesConnect and ESYSTA (nine); followed by Glucose Buddy (eight), meala (seven), and lumind (three). The most prevalent functions were related to promoting adherence and non-pharmacological management, but most criteria relevant to medication management were lacking. Five apps allowed within-app communication between patients and healthcare professionals (HCPs); however, no app included communication with pharmacists. High-quality diabetes apps are powerful tools to support pharmaceutical care and remotely monitor diabetes patients. Improvements are needed as they often lack many medication management functions, including within-app communication with HCPs (especially pharmacists). To maximize diabetes app use and improve outcomes, app developers should consider including pharmacists alongside other healthcare providers when customizing app designs. Full article
(This article belongs to the Special Issue 2nd Edition: Mobile Health Interventions)
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