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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
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author van der Fluit, Karin S.
Boom, Matthijs C.
Brandão, Marlon B.
Lopes, Gabriel D.
Barreto, Paula G.
Leite, Deborah C. F.
Gurgel, Ricardo Q.
author_facet van der Fluit, Karin S.
Boom, Matthijs C.
Brandão, Marlon B.
Lopes, Gabriel D.
Barreto, Paula G.
Leite, Deborah C. F.
Gurgel, Ricardo Q.
author_sort van der Fluit, Karin S.
collection PubMed
description 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.
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spelling pubmed-85965392021-11-22 How to implement a PEWS in a resource‐limited setting: A quantitative analysis of the bedside‐PEWS implementation in a hospital in northeast Brazil van der Fluit, Karin S. Boom, Matthijs C. Brandão, Marlon B. Lopes, Gabriel D. Barreto, Paula G. Leite, Deborah C. F. Gurgel, Ricardo Q. Trop Med Int Health Research Articles 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. John Wiley and Sons Inc. 2021-07-21 2021-10 /pmc/articles/PMC8596539/ /pubmed/34192384 http://dx.doi.org/10.1111/tmi.13646 Text en © 2021 The Authors Tropical Medicine & International Health Published by John Wiley & Sons Ltd https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
van der Fluit, Karin S.
Boom, Matthijs C.
Brandão, Marlon B.
Lopes, Gabriel D.
Barreto, Paula G.
Leite, Deborah C. F.
Gurgel, Ricardo Q.
How to implement a PEWS in a resource‐limited setting: A quantitative analysis of the bedside‐PEWS implementation in a hospital in northeast Brazil
title How to implement a PEWS in a resource‐limited setting: A quantitative analysis of the bedside‐PEWS implementation in a hospital in northeast Brazil
title_full How to implement a PEWS in a resource‐limited setting: A quantitative analysis of the bedside‐PEWS implementation in a hospital in northeast Brazil
title_fullStr How to implement a PEWS in a resource‐limited setting: A quantitative analysis of the bedside‐PEWS implementation in a hospital in northeast Brazil
title_full_unstemmed How to implement a PEWS in a resource‐limited setting: A quantitative analysis of the bedside‐PEWS implementation in a hospital in northeast Brazil
title_short How to implement a PEWS in a resource‐limited setting: A quantitative analysis of the bedside‐PEWS implementation in a hospital in northeast Brazil
title_sort how to implement a pews in a resource‐limited setting: a quantitative analysis of the bedside‐pews implementation in a hospital in northeast brazil
topic Research Articles
url 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
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