Modeling the COVID-19 vaccination process using the FRAM Method

Amaral Neto A.S.; Nascimento N.M.; Loureiro A.B.; Silva M.F.; Araújo C.; Rubio M.P.A.; Ribeiro S.A. · Ciencia e Saude Coletiva (2025) · DOI: 10.1590/1413-81232025306.03302025

Resumen

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 cou-plings between functions that can generate high variability, which engineered improvements in the system’s resilience by proposing countermeasures for the situations identified as bottlenecks.

Instituciones: Universidad San Ignacio de Loyola