Ji, Linying Li, Yanling Potter, Lindsey N. Lam, Cho Y. Nahum-Shani, Inbal Wetter, David W. Chow, Sy-Miin
Published in
Frontiers in Digital Health
Advances in digital technology have greatly increased the ease of collecting intensive longitudinal data (ILD) such as ecological momentary assessments (EMAs) in studies of behavior changes. Such data are typically multilevel (e.g., with repeated measures nested within individuals), and are inevitably characterized by some degrees of missingness. P...
Khawaja, Zoha Bélisle-Pipon, Jean-Christophe
Published in
Frontiers in Digital Health
Artificial intelligence (AI)-powered chatbots have the potential to substantially increase access to affordable and effective mental health services by supplementing the work of clinicians. Their 24/7 availability and accessibility through a mobile phone allow individuals to obtain help whenever and wherever needed, overcoming financial and logisti...
Udenigwe, Ogochukwu Omonaiye, Olumuyiwa Yaya, Sanni
Published in
Frontiers in Digital Health
Background This review focuses on studies about digital health interventions in sub-Saharan Africa. Digital health interventions in sub-Saharan Africa are increasingly adopting gender-transformative approaches to address factors that derail women's access to maternal healthcare services. However, there remains a paucity of synthesized evidence on g...
Jingili, Nuru Oyelere, Solomon Sunday Nyström, Markus B. T. Anyshchenko, Lina
Published in
Frontiers in Digital Health
This systematic review aims to assess the effectiveness of virtual reality (VR) and gamification interventions in addressing anxiety and depression. The review also seeks to identify gaps in the current VR treatment landscape and provide guidelines for future research and development. A systematic literature search was conducted using Scopus, Web o...
Millarch, Andreas Skov Bonde, Alexander Bonde, Mikkel Klein, Kiril Vadomovic Folke, Fredrik Rudolph, Søren Steemann Sillesen, Martin
Published in
Frontiers in Digital Health
Introduction Accurately predicting patient outcomes is crucial for improving healthcare delivery, but large-scale risk prediction models are often developed and tested on specific datasets where clinical parameters and outcomes may not fully reflect local clinical settings. Where this is the case, whether to opt for de-novo training of prediction m...
Gorman, Dennis M.
Published in
Frontiers in Digital Health
Mulye, Anita Bhasin, Ajay Borger, Bonita Fant, Colleen
Published in
Frontiers in Digital Health
Point of care ultrasound (POCUS) is a portable and accessible tool that has immense potential in low- and middle-income countries (LMIC) for diagnostic accuracy and medical education. We implemented a hybrid in-person and virtual training curriculum to teach providers in Belize the basic techniques of lung ultrasound in the diagnosis of pneumonia. ...
Waite, Emma Ahmed, Zubair
Published in
Frontiers in Digital Health
Introduction Virtual fracture clinics (VFC) involve a consultant-led multidisciplinary team meeting where cases are reviewed before a telephone consultation with the patient. VFCs have the advantages of reducing waiting times, outpatient appointments and time off school compared to face-to-face (F2F) fracture clinics. There has been a surge in VFC ...
Abdel-Hafez, Ahmad Jones, Melanie Ebrahimabadi, Maziiar Ryan, Cathi Graham, Steve Slee, Nicola Whitfield, Bernard
Published in
Frontiers in Digital Health
The clinical prioritisation criteria (CPC) are a clinical decision support tool that ensures patients referred for public specialist outpatient services to Queensland Health are assessed according to their clinical urgency. Medical referrals are manually triaged and prioritised into three categories by the associated health service before appointme...
Vuong, Caroline Utkarsh, Kumar Stojancic, Rebecca Subramaniam, Arvind Fernandez, Olivia Banerjee, Tanvi Abrams, Daniel M. Fijnvandraat, Karin Shah, Nirmish
Published in
Frontiers in Digital Health
Background In sickle cell disease (SCD), unpredictable episodes of acute severe pain, known as vaso-occlusive crises (VOC), disrupt school, work activities and family life and ultimately lead to multiple hospitalizations. The ability to predict VOCs would allow a timely and adequate intervention. The first step towards this ultimate goal is to use ...
