PEARL

Patient Experience And Reflective Learning


Principal Investigator
Professor Julian Bion, University of Birmingham
Co-Investigators Dr Randeep Mullhi (Queen Elizabeth Hospital Birmingham), Professor Fang Smith (Heart of England NHS Foundation Trust), Professor Richard Lilford (University of Warwick), Duncan Buckley (PPI Representative), Mrs Lisa-Marie Buckley (PPI Representative), Dr Stephen Wright ( The Newcastle upon Tyne Hospitals NHS Foundation Trust), Ms Felicity Evison (Queen Elizabeth Hospital Birmingham), Dr Carolyn Tarrant (University of Leicester), Professor Gavin Perkins (Warwick Medical School), Dr Paul Sullivan (Chelsea and Westminster Hospital NHS Foundation Trust), Mr Kazi Zawad (Queen Elizabeth Hospital Birmingham), Associate Professor Celia Taylor (University of Warwick), Dr Julian Archer (University of Plymouth)
UCL Team member
Dr Lou Atkins
Project start and end dates
October 2016 - October 2019
Funder NIHR - Services and Delivery Research Programme


Project details

The aim of the PEARL project is to create a reflective learning framework for staff in acute medical units and intensive care units to improve patient and family experience of the emergency care pathway in hospital.

The Mid-Staffordshire Hospital enquiry appropriately stimulated national policy initiatives to use patient experience to improve care. However, prior work shows that clinicians – and particularly doctors – are often disengaged by multiple policy initiatives. Quality and performance metrics have greater impact on clinician behaviour when there is professional ownership, and when metrics are linked to particular patients or events with whom there is a direct fiduciary relationship.

The PEARL project will examine techniques and contextual influences for acquiring and using patient experience in a vulnerable population (acutely and critically ill patients and their families) in two emergency settings in hospital: the acute medical unit (AMU) and the intensive care unit (ICU). Both these areas are important in terms of patient volumes, acuity, costs and outcomes, and both offer access to measures of case mix and performance. They also offer useful contrasts in terms of patient dependence, staffing, length of stay, and workload. We will develop a process to collect and present data on patient experience of different types ranging from questionnaire responses to complaints. We will then create a context-sensitive workplace-based forum where this information can be fed back to staff, and a protocol to encourage reflective learning so that staff continually improve their capacity for self-criticism and improvement.