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Clinics and Practice
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Digital Health and Virtual Care Innovations: Applications for Long-Term Care...
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Digital Health and Virtual Care Innovations: Applications for Long-Term Care and Self-Management Support

A special issue of Clinics and Practice (ISSN 2039-7283).

Deadline for manuscript submissions: 31 July 2026 | Viewed by 672

Special Issue Editor

Dr. Hyunhwa Lee

E-Mail Website
Guest Editor
School of Nursing, University of Nevada, Las Vegas, NV 89154, USA
Interests: peripheral DNA methylation; microRNA; telomere; saccadic eye movements; standing and walking balance; cognitive functions; brain injury; sleep disruption; psychology

Special Issue Information

Dear Colleagues,

This Special Issue will highlight cutting-edge research and clinical innovations in digital health. With the global rise in chronic conditions and aging populations, there is an urgent need for scalable, patient-centered care solutions. This issue will focus on the integration of wearable sensors, mobile health applications, and virtual care models, including ones by nurses or implemented within nursing practice, to enhance long-term care delivery and self-management of chronic diseases. We welcome contributions that explore clinical trials, implementation studies, technology usability, nursing workflow integration, health equity considerations, and outcomes related to patient engagement, symptom monitoring, and quality of life. This Special Issue aims to advance the science and practice of digital nursing and healthcare by bridging interdisciplinary perspectives and promoting evidence-based, technology-enabled healthcare solutions.

Dr. Hyunhwa Lee
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. Clinics and Practice 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 1600 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

  • digital health
  • wearable sensors
  • virtual care
  • self-management
  • long-term care
  • mobile health (mHealth)
  • remote patient monitoring
  • nursing and health informatics
  • technology-enabled care

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Research

17 pages, 493 KB  
Article
Mobile Technology Adoption in Healthcare—A Behavioral Understanding of Chronic Patients’ Perspective
by Andreea Madalina Serban and Elena Druică
Clin. Pract. 2025, 15(10), 181; https://doi.org/10.3390/clinpract15100181 - 28 Sep 2025
Viewed by 379
Abstract
Background: In an era of unprecedented technology adoption in healthcare, it is imperative to understand and predict factors influencing users’ perspective. This study employs a risk-integrated technology acceptance model aiming to identify the determinants of the intention to use mobile health applications among [...] Read more.
Background: In an era of unprecedented technology adoption in healthcare, it is imperative to understand and predict factors influencing users’ perspective. This study employs a risk-integrated technology acceptance model aiming to identify the determinants of the intention to use mobile health applications among patients with chronic diseases in Romania. Methods: A face-to-face survey method was used to collect research data from 207 subjects, and the partial least squares structural equation modeling approach was employed for data analysis. Results: The behavioral intention to use mobile health applications (INT) was influenced positively by the perceived ease of use (PEOU, f2 = 0.358, β = 0.500, p < 0.001) and perceived usefulness (PU, f2 = 0.271, β = 0.678, p < 0.001). Another core predictor, with a negative effect on the intention to use, was the user’s perceived risk of using the technology (RISK, f2 = 0.239, β = −0.321, p < 0.001), in turn influenced by the perceived degree of cyber-insecurity (CYBER, f2 = 0.492, β = 0.639, p < 0.001). Digital self-efficacy (DSE) was identified as an external determinant with strong positive influence on PEOU (f2 = 0.486, β = 0.610, p < 0.001). The model shows strong performance, reflected in a high Tenenhaus goodness-of-fit index (0.770) and solid explanatory power for the outcome variable (adjusted R2 = 0.718). Conclusions: This study validates an extended risk-integrated technology acceptance model, offering robust insights into the determinants of mobile health application adoption among chronic patients in Romania. The findings provide actionable guidance for designing targeted interventions and healthcare policies to enhance technology adoption in this population. Full article
(This article belongs to the Special Issue Digital Health and Virtual Care Innovations: Applications for Long-Term Care and Self-Management Support)
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