Results 71 to 80 of about 90,282 (254)

A hybrid evaluation approach and guidance for mHealth education applications [PDF]

, 2017
© Springer International Publishing AG 2018. Mobile health education applications (MHEAs) are used to support different users. However, although these applications are increasing in number, there is no effective evaluation framework to measure their ...
AF Shareef, BMC Silva, CK Coursaris, K Glanz, MY Ivory, R Baharuddin, R Harrison, SK Dubey   +7 more
core   +1 more source

Immersive Technologies in Dental Education: Global Adoption Patterns From a 2025 Survey

Journal of Dental Education, EarlyView.
ABSTRACT Purpose/Objectives Dental education is undergoing a digital transformation, yet the adoption of immersive technologies such as haptic virtual reality (HVR) remains limited. This study aimed to map global adoption trends, barriers, and opportunities for equitable integration of HVR in dental curricula.
Barry Quinn, Reinhard Chun Wang Chau, Szabolcs Felszeghy, Mikko Liukkonen, Andreea Cristiana Didilescu, Damiano Pasqualini, Daniela Pino Valenzuela, David P. Rice, Gianrico Spagnuolo, Josette Camilleri, Khaled E. Ahmed, Laura Andriukaitiene, Łukasz Zadrożny, Masako Nagasawa, Mengwei Pang, Mohammed Al‐Haroni, Neshka Manchorova, Nisrine El Arrouf, Noha Waleed Barakat, Peter Lingström, Samantha J. Byrne, Santiago Arias‐Herrera, Ülle Voog‐Oras, Gitana Rederiene, Gül Gülsün, Rebecca Stolberg, Henry F. Duncan, Sompop Bencharit, Margaret Cox   +28 more
wiley   +1 more source

Usability and feasibility of consumer-facing technology to reduce unsafe medication use by older adults [PDF]

, 2019
Background Mobile health technology can improve medication safety for older adults, for instance, by educating patients about the risks associated with anticholinergic medication use.
Abebe, Ephrem, Bodke, Kunal, Boustani, Malaz A., Callahan, Christopher M., Campbell, Noll L., Clark, Daniel O., Ferguson, Denisha, Holden, Richard J.   +7 more
core   +1 more source

Who is Tracking Health on Mobile Devices: Behavioral Logfile Analysis in Hong Kong

JMIR mHealth and uHealth, 2019
BackgroundHealth apps on mobile devices provide an unprecedented opportunity for ordinary people to develop social connections revolving around health issues. With increasing penetration of mobile devices and well-recorded behavioral data on such devices,
Guan, Lu, Peng, Tai-Quan, Zhu, Jonathan JH   +2 more
doaj   +1 more source

Contrasting the Expectations and Experiences Related to Mobile Health Use for Chronic Pain: Questionnaire Study

JMIR Human Factors, 2022
BackgroundChronic pain is a prolonged condition that deteriorates one's quality of life. Treating chronic pain requires a multicomponent approach, and in many cases, there are no “silver bullet” solutions.
Saba Kheirinejad, Andy Alorwu, Aku Visuri, Simo Hosio   +3 more
doaj   +1 more source

Should Dermatologists Recommend Direct‐to‐Consumer App‐Based Remote Diagnostics? An Ethical Analysis

JEADV Clinical Practice, EarlyView.
ABSTRACT Background Dermatology patients still face barriers in accessing timely specialist care. As direct‐to‐consumer (DTC) apps for remote dermatological diagnostics proliferate, guidance is lacking. While promising efficiency and efficacy, their clinical—and ethical—legitimacy is not yet well established.
Sonja Mathes, Sebastian Seurig, Theresa Willem, Marta Dechant, Stephan Traidl, Mina Kang, Pedro Marques Pinto, Annette Binder, Tilo Biedermann, Ulf Darsow   +9 more
wiley   +1 more source

MyAirCoach: The use of home-monitoring and mHealth systems to predict deterioration in asthma control and the occurrence of asthma exacerbations; Study protocol of an observational study [PDF]

, 2016
© Published by the BMJ Publishing Group Limited. Introduction Asthma is a variable lung condition whereby patients experience periods of controlled and uncontrolled asthma symptoms.
Bonini, Matteo, Chung, Kian Fan, Fowler, Stephen, Honkoop, Persijn J., Meah, Sally, Simpson, Andrew, Snoeck-Stroband, Jiska B., Sont, Jacob K., Usmani, Omar S.   +8 more
core   +4 more sources

Process evaluation of an integrated personalized eHealth programme after total and unicompartmental knee arthroplasty—Results of the multicenter ACTIVE randomized controlled trial

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
ABSTRACT Purpose Patients receiving knee arthroplasty often experience limited guidance in resuming daily life activities. The ACTIVE (enhAncing soCietal parTicipation with an IndiVidualized integratEd care programme) trial evaluated the effectiveness of an intervention designed to enhance recovery and return to daily activities in working‐age knee ...
A. Carlien Straat, P. Paul F. M. Kuijer, Jelle J. de Jongh, Jantine M. Maarleveld, Judith A. F. Huirne, Gino M. M. J. Kerkhoffs, Johannes R. Anema, Pieter Coenen   +7 more
wiley   +1 more source

Characterising user engagement with mHealth for chronic disease self-management and impact on machine learning performance

npj Digital Medicine
Mobile Health (mHealth) has the potential to be transformative in the management of chronic conditions. Machine learning can leverage self-reported data collected with apps to predict periods of increased health risk, alert users, and signpost ...
Christopher Duckworth, Bethany Cliffe, Brian Pickering, Ben Ainsworth, Alison Blythin, Adam Kirk, Thomas M. A. Wilkinson, Michael J. Boniface   +7 more
doaj   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source