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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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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. |
format | Online Article Text |
id | pubmed-8596539 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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