Journal article

Behavior Change Text Messages for Home Exercise Adherence in Knee Osteoarthritis: Randomized Trial

Kim Bennell, Rachel K Nelligan, Sarah Schwartz, Jessica Kasza, Alexander Kimp, Samuel JC Crofts, Rana S Hinman

Journal of Medical Internet Research | JMIR PUBLICATIONS, INC | Published : 2020

Abstract

Background: Exercise is a core recommended treatment for knee osteoarthritis (OA), yet adherence declines, particularly following cessation of clinician supervision. Objective: This study aims to evaluate whether a 24-week SMS intervention improves adherence to unsupervised home exercise in people with knee OA and obesity compared with no SMS. Methods: A two-group superiority randomized controlled trial was performed in a community setting. Participants were people aged 50 years with knee OA and BMI ≥30 kg/m2 who had undertaken a 12-week physiotherapist-supervised exercise program as part of a preceding clinical trial. Both groups were asked to continue their home exercise program unsuperv..

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Grants

Awarded by National Health and Medical Research Council Program Grant


Awarded by National Health and Medical Research Council Investigator Fellowship


Awarded by National Health and Medical Research Council Senior Research Fellowship


Funding Acknowledgements

The authors gratefully acknowledge Professor Lou Atkins from the Centre for Behaviour Change, University College London, United Kingdom, for assisting with formulating the text message content and Mr Ben Metcalf for assisting with manuscript preparation. The study was funded by the National Health and Medical Research Council Program Grant (#1091302). The funder played no role in the study design; data collection, analysis, or interpretation; or manuscript preparation. KLB is supported by a National Health and Medical Research Council Investigator Fellowship (#1174431). RKN is supported by an Australian Government Research Training Program Scholarship. RSH is supported by a National Health and Medical Research Council Senior Research Fellowship (#1154217).