Work

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

Year: 2025

Type: article

Abstract: 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.

Source: Cureus

DOI: 10.7759/cureus.82231

Authors: Benjamin R Smyth, Swanand Patwardhan, Eve L Turner, Sian McLintock

Institutions: Manchester University NHS Foundation Trust, Greater Manchester Mental Health NHS Foundation Trust

Language: English

Topic: Cardiac Arrest and Resuscitation

Subfield: Emergency Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4409433788