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How to implement a PEWS in a resource‐limited setting: A quantitative analysis of the bedside‐PEWS implementation in a hospital in northeast Brazil

OBJECTIVES: Quantitative analysis of the implementation of the bedside paediatric early warning system (B‐PEWS) in a resource‐limited setting. The B‐PEWS serves to pre‐emptively identify hospitalised children who are at risk for cardiopulmonary arrest and subsequently to provide critical care in tim...

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Detalles Bibliográficos
Autores principales: van der Fluit, Karin S., Boom, Matthijs C., Brandão, Marlon B., Lopes, Gabriel D., Barreto, Paula G., Leite, Deborah C. F., Gurgel, Ricardo Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596539/
https://www.ncbi.nlm.nih.gov/pubmed/34192384
http://dx.doi.org/10.1111/tmi.13646
Descripción
Sumario:OBJECTIVES: Quantitative analysis of the implementation of the bedside paediatric early warning system (B‐PEWS) in a resource‐limited setting. The B‐PEWS serves to pre‐emptively identify hospitalised children who are at risk for cardiopulmonary arrest and subsequently to provide critical care in time. METHODS: We performed a retrospective review through the medical data records of patients after discharge from the paediatric ward of a philanthropic hospital in Brazil. Nurses’ performance using the system was measured with various parameters. RESULTS: A total of 499 patients were included, and a total of 8024 scores were checked. During the 21‐week research period, the implementation rate increased significantly from 66.5% (SD 26.0) in Period 1 to 93.1% (SD 16.6) in Period 2. The number of scores that resulted in a correct total score went from 7.5% in Period 1 to 32.2% in Period 2, p < 0.001. There was an improvement in the correct choice of age group between the two periods (from 32.2% to 53.4%). There was no difference in the mean admission time of patients in the two periods: in the first period 4.8 days (SD 2.9) and in the second period 4.8 days (SD 4.1). CONCLUSIONS: It is possible to implement a PEWS in resource‐limited settings while achieving high implementation rates. However, this is a time‐ and energy‐consuming process. Having an active and involved team that is responsible for implementation is key for a successful implementation. Factors that likely hindered implementation were a large change in workflow for the nursing staff, non‐native speakers as main investigators.