Using Functional Resonance Analysis Method (FRAM) Modelling to Assess the Factors That Slow or Prevent Clinicians in Performing Advanced Life Support (ALS) During Crash Calls to Park House Mental Health Hospital

This Quality Improvement Project (QIP) aimed to improve the response system for crash calls at Park House Mental Health Hospital, supported by the North Manchester General Hospital Crash Team. Using a functional resonance analysis method (FRAM), the team identified inefficiencies in the Advanced Life Support (ALS) process, with delayed responses increasing patient mortality risks. Interviews with staff helped create "work-as-imagined" (WAI) and "work-as-done" (WAD) models, highlighting the underperformed functions like ward entry protocols, and fully stocked crash trolleys. Recommendations, including access cards, stock changes, and live simulations, were implemented, in an aim to improve ALS provision.