Digital transformation has led to an abundance of digital health technologies (DHTs) readily available for Physiotherapists. In July 2020, the Physiotherapy department at a London NHS Trust implemented a mobile health (mHealth) exercise application (app), Physitrack. This service evaluation aims to evaluate patient experience and identify any barriers to using Physitrack/PhysiApp in musculoskeletal (MSK) Physiotherapy.
View Article and Find Full Text PDFRemote delivery of cardiovascular rehabilitation (CR) has been vital during the COVID pandemic when restrictions have been placed on face-to- face services. In the future, CR services are likely to offer alternatives to centre- based CR, including digital options. However, little is known about the digital access and confidence of CR service users, or their CR delivery preferences.
View Article and Find Full Text PDFBMC Musculoskelet Disord
August 2021
Background: The National Institute for Health and Care Excellence recommends the use of digital and mobile health technologies to facilitate behaviour change interventions. Due to its high prevalence and dependence upon patient self-management strategies, osteoarthritis is one musculoskeletal condition which may benefit from such approaches. This is particularly pertinent due to the increasing use of remote monitoring technologies to collect patient data and facilitate self-management in individuals outside of hospital clinics.
View Article and Find Full Text PDFAim: Chronic low back pain (CLBP) is a highly prevalent and significant cause of disability which is often resistant to pharmacological management. Virtual reality (VR) is an emerging technology with the potential to influence CLBP, and has been suggested as an alternative to opioids for pain management. VR is a goalfocused, computer-simulated reality allowing modification of the user's experience of their perceived world.
View Article and Find Full Text PDFMusculoskelet Sci Pract
February 2019
Introduction: Artificial intelligence (AI) is a field of mathematical engineering which has potential to enhance healthcare through new care delivery strategies, informed decision making and facilitation of patient engagement. Machine learning (ML) is a form of narrow artificial intelligence which can be used to automate decision making and make predictions based upon patient data.
Purpose: This review outlines key applications of supervised and unsupervised machine learning in musculoskeletal medicine; such as diagnostic imaging, patient measurement data, and clinical decision support.
Int J Sport Nutr Exerc Metab
May 2018
Aims/objectives: To evaluate the current literature via systematic review to ascertain whether amino acids/vitamins provide any influence on musculotendinous healing and if so, by which physiological mechanisms.
Methods: EBSCO, PubMed, ScienceDirect, Embase Classic/Embase, and MEDLINE were searched using terms including "vitamins," "amino acids," "healing," "muscle," and "tendon." The primary search had 479 citations, of which 466 were excluded predominantly due to nonrandomized design.