Feasibility and acceptability of ExerciseGuideUK for those living with and beyond lung cancer: a mixed methods study

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Authors: Jordan Curry, Mark Pearson, Camille Elizabeth Short, Corneel Vandelanotte, Holly E. L. Evans, Michael Lind, Cynthia C. Forbes
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References: 36

Abstract

PURPOSE: Digital health interventions offer promise for addressing unmet needs in individuals living with and beyond lung cancer (LWBLC). ExerciseGuideUK, a personalised, web-based exercise platform, was developed for those LWBLC. This study aimed to evaluate ExerciseGuideUK. METHODS: Participants were recruited from Hull University Teaching Hospital and used ExerciseGuideUK over eight weeks. Feasibility and acceptability were assessed using quantitative measures, including the System Usability Scale, structured questionnaires, and qualitative interviews (guided by the Theoretical Framework of Acceptability). A novel mixed-methods integration approach called the Pillar Integration process (PIP) was used to integrate quantitative and qualitative findings on feasibility, engagement, barriers, and adaptation potential. RESULTS: Eighteen participants (mean age 65 ± 14.42y) enrolled. Recruitment and retention rates were 30.5% and 77%, respectively. Notably, 25.4% of those screened were excluded due to digital access issues, including some participants who owned smartphones, suggesting limited digital literacy. Among those who participated, acceptability, usability, and engagement were high. Valued features included goal-setting tools, breathlessness management strategies, and personalised exercise prescriptions. Barriers included treatment side effects, work responsibilities, and low confidence with technology. CONCLUSION: ExerciseGuideUK showed moderate feasibility and high acceptability among users. This is the first known application of PIP in the context of lung cancer, exercise, and digital health. The PIP facilitated a comprehensive understanding of feasibility and acceptability, guiding informed adaptations by users. The PIP warrants further testing and refinement in relation to optimising digital intervention design that promotes equitable, patient-centred care. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05121259.

Fields of Study & Subjects

Mobile Health and mHealth Applications Physical Activity and Health Diabetes Management and Education

Publication details

Journal / source
Supportive Care in Cancer
Volume
34
Issue
7
Publication date
12 June 2026
Language
EN