This is a Five Year programme designed to identify and evaluate human factors interventions to improve the response to patients deteriorating following emergency surgery. The programme comprises four work packages: Work Package 1: Qualitative interviews and observations to analyse current rescue systems; Work Package 2: Identify and co-design interventions to improve rescue systems,involving both staff and patients and carers; Work Package 3: Mixed-methods feasibility trial across 3 sites in England, Work Package 4: Step-wedge randomised control trial based across 24 hospital sites in England, evaluating efficacy of interventions in improving response to deteriorating patients.
Patient safety researchers study problems in healthcare systems which harm patients. The investigators wish to study a healthcare situation where system problems are costing lives. In Emergency General Surgery (EGS), dealing mainly with patients with severe abdominal pain, the death rate after abdominal surgery to find out what's wrong (called 'laparotomy') is 5 times higher than for similar routine surgery. Studies of serious complications after major operations show that when patients deteriorate after surgery, their chances of survival depend on how quickly and how well clinical teams react. The investigators plan to analyse how EGS teams currently treat deteriorating patients, and help them develop and test better response systems. Up to 3000 deaths per year could be avoided if these systems were improved . Human Factors science analyses how complex work systems succeed or fail, and how to improve them. The investigators will conduct a Human Factors analysis of real life responses to deterioration in EGS laparotomy patients, examining how staff actually deal with deteriorating patients (referred to as "work as done"), and how this differs from official guidelines (referred to as "work as imagined"). A modern approach to Human Factors called "Safety II" studies both strengths and weaknesses of systems to design solutions. The investigators will use this method to analyse current EGS rescue systems, and develop a new system for managing deterioration, including ways of involving patients or carers effectively. The investigators will test and modify this system until it can be shown that it improves team performance during rescue. Once it appears stable and effective, the investigators will test it in a multi-hospital trial. Hospitals will start using the new system at different dates (decided by chance), and the investigators will compare their performance before and after they start. The investigators will study the cost-effectiveness of the intervention and analyse what worked well and why, to make sure the lessons are learned effectively.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
9,064
The group will use semi-structured interviews and ethnographic observations to inform development of a Functional Resonance Analysis Method (FRAM) model of the process for rescue of deteriorating patients in EGS, using information from 3 hospitals. A focus group approach will be used in co-designing reform of the system for responding to post-operative deterioration, working with small groups of frontline clinical staff from relevant areas in the three Trusts involved.
Professor Peter McCulloch
Oxford, Oxfordshire, United Kingdom
RECRUITINGBuckinghamshire Healthcare NHS Trust
Stoke Mandeville, United Kingdom
RECRUITINGImprovement in response to deterioration
Reduction in ratio of mortality to complications
Time frame: 12 months
Improved Effectiveness of response to deterioration
Number, severity and duration of Modified Early Warning Score (MEWS) system alerts,
Time frame: 12 months
Improved Effectiveness of response to deterioration
Average timings for initial response to MEWS triggers
Time frame: 12 months
Improved Effectiveness of response to deterioration
Average timings for the segments of the MEWS response process
Time frame: 12 months
Improved quality of response to deterioration
Qualitative interview data with senior surgeons showing comparison of response quality and success in cases where patient or carer alerts were present with those where they were not
Time frame: 12 months
Improved effectiveness of response to deterioration
Number of specialist interventions following emergency laparotomy
Time frame: 12 months
Improvement in mortality of emergency laparotomy patients
reduction in mortality of emergency laparotomy patients
Time frame: 12 months
Improvement in recovery of emergency laparotomy patients
Reduction in ITU stay and overall hospital stay
Time frame: 12 months
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.