Consumer feedback and end-user perceptions provide important information regarding the clinical acceptability of new telepractice systems. This pilot investigation aimed to evaluate end-user perceptions of a new asynchronous telepractice application, ‘SwallowIT’, designed to support patients to remotely complete intensive swallowing therapy during curative chemoradiotherapy (CRT) treatment for head and neck cancer (HNC). Insights were sought from 15 patients with oropharyngeal cancer who used SwallowIT to complete supported home swallowing therapy. Perceptions were evaluated via structured questionnaires, completed following initial orientation to SwallowIT and on completion of CRT. Semi-structured phone interviews were conducted ≥3 months post-treatment. The majority of patients reported positive initial perceptions towards SwallowIT for comfort (87%), confidence (87%), motivation (73%) and support (87%). No statistically significant change in perceptions was observed from baseline to end of CRT (p > 0.05). Thematic analysis of interviews revealed four main themes: the ease of use of SwallowIT, motivating factors, circumstances which made therapy difficult, and personal preferences for service-delivery models. These preliminary findings demonstrate that SwallowIT was well-perceived by the current group of HNC consumers and suggest that SwallowIT may be well-accepted as an alternate service-delivery model for delivering intensive swallowing therapy during CRT.

Disorders affecting the neurological and musculoskeletal systems represent international health priorities. A significant impediment to progress in trials of new therapies is the absence of responsive, objective, and valid outcome measures sensitive to early disease changes. A key finding in individuals with neuromuscular and musculoskeletal disorders is the compositional changes to muscles, evinced by the expression of fatty infiltrates. Quantification of skeletal muscle composition by MRI has emerged as a sensitive marker for the severity of these disorders; however, little is known about the composition of healthy muscles across the lifespan. Knowledge of what is ‘typical’ age-related muscle composition is essential to accurately identify and evaluate what is ‘atypical’. This innovative project, known as the MuscleMap, will achieve the first important steps towards establishing a world-first, normative reference MRI dataset of skeletal muscle composition with the potential to provide valuable insights into various diseases and disorders, ultimately improving patient care and advancing research in the field.