Feasibility study of rehabilitation for cardiac patients aided by an artificial intelligence web-based programme: a randomised controlled trial (RECAP trial)-a study protocol

Pasan Witharana, Lisa Chang, Rebecca Maier, Emmanuel Ogundimu, Christopher Wilkinson, Thanos Athanasiou, Enoch Akowuah

Research output: Contribution to journalArticlepeer-review


INTRODUCTION: Cardiac rehabilitation (CR) delivered by rehabilitation specialists in a healthcare setting is effective in improving functional capacity and reducing readmission rates after cardiac surgery. It is also associated with a reduction in cardiac mortality and recurrent myocardial infarction. This trial assesses the feasibility of a home-based CR programme delivered using a mobile application (app).

METHODS: The Rehabilitation through Exercise prescription for Cardiac patients using an Artificial intelligence web-based Programme (RECAP) randomised controlled feasibility trial is a single-centre prospective study, in which patients will be allocated on a 1:1 ratio to a home-based CR programme delivered using a mobile app with accelerometers or standard hospital-based rehabilitation classes. The home-based CR programme will employ artificial intelligence to prescribe exercise goals to the participants on a weekly basis. The trial will recruit 70 patients in total. The primary objectives are to evaluate participant recruitment and dropout rates, assess the feasibility of randomisation, determine acceptability to participants and staff, assess the rates of potential outcome measures and determine hospital resource allocation to inform the design of a larger randomised controlled trial for clinical efficacy and health economic evaluation. Secondary objectives include evaluation of health-related quality of life and 6 minute walk distance.

ETHICS AND DISSEMINATION: RECAP trial received a favourable outcome from the Berkshire research ethics committee in September 2022 (IRAS 315483).Trial results will be made available through publication in peer-reviewed journals and presented at relevant scientific meetings.


Original languageEnglish
Article numbere079404
Number of pages13
JournalBMJ Open
Issue number4
Publication statusPublished - 30 Apr 2024

Bibliographical note

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.


  • Humans
  • Feasibility Studies
  • Cardiac Rehabilitation/methods
  • Artificial Intelligence
  • Prospective Studies
  • Randomized Controlled Trials as Topic
  • Exercise Therapy/methods
  • Quality of Life
  • Mobile Applications
  • Internet-Based Intervention
  • Internet

Cite this