The PERFORM trial

About the project

PERFORM logoPERFORM is a study about seeing if exercise-based rehabilitation can help people with multiple long term conditions.

Research has shown that exercise-based rehabilitation can improve quality of life and reduce the number of hospital visits. Standard NHS rehabilitation can help people with specific illnesses such as heart disease or respiratory problems. But it is increasingly recognised that such rehabilitation programmes do not meet the needs the increasing number of people presenting with long-term conditions.

Work packages

Work Package 1 : Identifying people with multiple Long Term Conditions (LTCs) likely to benefit from rehabilitation

Work package leads

Staff

  • Professor Rod Taylor
  • Professor Emma McIntosh
  • Dr Lewis Steell
  • Dr Stefanie Krauth
  • Dr Grace Dibben
  • Dr Sayem Ahmed

Aim

To identify those people with multiple LTCs likely to benefit from rehabilitation.

Overview

WP1 has three strands which utilise data science approaches (WP1a); systematic review (WP1b); and health economic approaches (WP1c). and are complementary and will help us understand the patient characteristics and accompanying clusters of LTCs that are associated with poor health related quality of life (HRQoL), the worst health care outcomes, highest healthcare costs, and have the greatest potential to benefit from rehabilitation. This WP will inform the intervention development in real time as new data becomes available allowing us to adapt the intervention to accommodate people with different characteristics and clusters of LTCs with greatest need, highest healthcare costs and clear evidence of benefits from rehabilitation in at least one of the candidate LTCs.

All work will be undertaken in collaboration with our Patient Advisory Group (PAG), we will seek their expert input on our planned analyses and work and share results in real time with them. We plan to incorporate the PAG insights and comments iteratively throughout this WP and  ensure they have the opportunity to comment on our proposed outputs.

Deliverables

  • Identification, through data science methods applied to three high quality UK datasets, of ‘high-risk’ multiple LTC profiles. These profiles include information on clusters or numbers of LTCs and patient characteristics associated with the highest risk of negative impacts on health outcomes (mortality, hospitalisations, and quality of life). Thus, highlighting people with the greatest potential to benefit from rehabilitation (WP1a).
  • A meta-review of the literature which identifies LTCs with evidence of benefits of exercise rehabilitation that are not currently routinely offered access to such rehabilitation. (WP1b).
  • Identification of the multiple LTC profiles associated with the greatest healthcare costs in terms of relationship with healthcare resource use (in primary/secondary care) and Health related quality of life (HRQoL). (WP1c)
  • Identification of the ‘target’ patient population for PERFORM intervention development and testing who belong to ‘high-risk’ multiple LTC profiles with at least one LTC having evidence of benefit from exercise rehabilitation (WP1a, b and c) 

Work Package 2: Intervention development

Work Package 3: Feasibility trial with embedded process and economic evaluation

Work Package 4: Multicentre randomised controlled trial and prospective cohort study (seeking expression of interest)

Work Package 5: Role of Social Media (SoMe) networks are widespread in the course of daily life, some shown to foster positive health behaviour

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