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Evaluating a web-based computer-tailored physical activity intervention for those living with and beyond lung cancer (ExerciseGuide UK): protocol for a single group feasibility and acceptability study

Curry, Jordan; Lind, Michael; Short, Camille E.; Vandelanotte, Corneel; Evans, Holly E.L.; Pearson, Mark; Forbes, Cynthia C.

Authors

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Professor Michael Lind M.J.Lind@hull.ac.uk
Foundation Professor of Oncology/ Head of the Joint Centre for Cancer Studies

Camille E. Short

Corneel Vandelanotte

Holly E.L. Evans

Cynthia C. Forbes



Abstract

Background: Lung cancer is the leading cause of cancer-related death globally. Physical activity and exercise provide unequivocal benefits to those living with and beyond lung cancer. However, few of those living with and beyond cancer meet the national physical activity guidelines. Various barriers exist for this population’s engagement in physical activity and exercise, such as the lack of knowledge and lack of tailored information, little access to exercise specialists, fatigue, and mobility challenges. Digitally delivered programmes have the potential to address several of these barriers, with techniques like “computer-tailoring” available to enable the delivery of tailored content at a time and place that is convenient. However, evaluation of such programmes is needed prior to implementation. This protocol describes a single group study that will examine the feasibility and acceptability of an online tool (ExerciseGuide UK) that provides those living with and beyond lung cancer web-based computer-tailored physical activity prescription and modules underpinned by behaviour change theories. Methods: Thirty-five individuals diagnosed with lung cancer, or cancer affecting the lung (e.g. pleural mesothelioma), will be recruited into a single-intervention arm. The platform will provide tailored resources and a personalised physical activity programme using IF-THEN algorithms. Exercise prescription will be tailored on factors such as self-reported specific pain location, exercise history, and current physical fitness. In addition, modules grounded in behaviour change will supplement the physical activity programme and will focus on topics such as exercise benefits, safety, goal setting, and tracking. The primary outcome will be assessed using pre-established criteria on feasibility and mixed-methods approach for acceptability. Secondary outcomes will explore changes in the physical activity, quality of life, anxiety, and depression. Discussion: This manuscript describes the protocol for a study examining the feasibility and acceptability of a web-based computer-tailored physical activity intervention for those living with and beyond lung cancer. The publication of this protocol aims to increase the transparency of the methods, report pre-determined criteria, and aid replication of the study and associated materials. If feasible and acceptable, this intervention will inform future studies of digital-based interventions. Trail registration: ClinicalTrails.gov, NCT05121259. Registered on November 16, 2021.

Citation

Curry, J., Lind, M., Short, C. E., Vandelanotte, C., Evans, H. E., Pearson, M., & Forbes, C. C. (2022). Evaluating a web-based computer-tailored physical activity intervention for those living with and beyond lung cancer (ExerciseGuide UK): protocol for a single group feasibility and acceptability study. Pilot and Feasibility Studies, 8(1), Article 182. https://doi.org/10.1186/s40814-022-01129-6

Journal Article Type Article
Acceptance Date Jul 19, 2022
Online Publication Date Aug 13, 2022
Publication Date Dec 1, 2022
Deposit Date Oct 5, 2022
Publicly Available Date Mar 29, 2024
Journal Pilot and Feasibility Studies
Electronic ISSN 2055-5784
Publisher BioMed Central
Peer Reviewed Peer Reviewed
Volume 8
Issue 1
Article Number 182
DOI https://doi.org/10.1186/s40814-022-01129-6
Keywords Lung cancer; Physical activity; Exercise; Telehealth; eHealth; Feasibility; Acceptability; User-friendliness; Usability
Public URL https://hull-repository.worktribe.com/output/4064832

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Copyright Statement
© The Author(s) 2022.
Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.




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