Modeling the COVID-19 vaccination process using the FRAM Method

Vaccination is crucial in a primary care unit and relevant for society. This study aimed to map and analyze the COVID-19 vaccination process adopting Resilience Engineering concepts to identify possible sources of failure and recommend improvements. A case study was conducted in a Primary Health Care unit, and data were collected through semi-structured interviews in a cross-sectional study. The vaccination process was analyzed and modeled using the Functional Resonance Analysis Method (FRAM), which provided a greater understanding of the procedural flow and the identification of the system's primary functions and points of variability. The results pointed out the couplings between functions that can generate high variability, which engineered improvements in the system's resilience by proposing countermeasures for the situations identified as bottlenecks.