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[Analysis of the operational conditions to preserve immunobiological products in vaccination rooms in Brazil: a mixed study].

Gabriela Gonçalves AmaralLuísa Gomes de SousaSamuel Pereira da SilvaAna Luíza KarterBrener Santos SilvaFabiana Costa Machado ZachariasTatiele Estefâni SchönholzerAna Catarina de Melo AraújoValéria Conceição De OliveiraIone Carvalho Pinto
Published in: Cadernos de saude publica (2024)
This study aimed to analyze the operational conditions to preserve immunobiological products in Brazil. This mixed-method study with a sequential explanatory design was developed in vaccination rooms in several Brazilian regions from 2021 to 2022. Its quantitative stage developed a descriptive cross-sectional study by applying the Immunobiological Conservation Assessment Scale to nursing professionals. Data were analyzed by descriptive statistics. Its qualitative stage developed a descriptive-exploratory study in cold chain instances with the respective technical managers and nursing professionals. The interviews were evaluated by thematic content analysis. The data were combined by connection, and joint-displays and meta-inferences were elaborated. Overall, 280 rooms were analyzed. Most were for exclusive use (79.6%), had polyurethane boxes (77.8%), and kept their equipment away from sunlight/heat (73.5%). Only 27.5% had batteries/generators and 26.5% had other temperature measuring instruments. In total, 60% had refrigerated rooms and 67.6%, air-conditioned rooms. This study found weaknesses associated with geographical conditions, infrastructure, material inputs, human and financial resources, work organization and management, turnover, and training. These findings showed the plurality of the Brazilian cold chain and identified the potentialities and weaknesses related to the structures and work processes in preserving immunobiological products, which require improvement.
Keyphrases
  • healthcare
  • mental health
  • machine learning
  • cross sectional
  • big data
  • quality improvement
  • deep learning
  • data analysis
  • induced pluripotent stem cells