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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.
van der Fluit, Karin S; Boom, Matthijs C; Brandão, Marlon B; Lopes, Gabriel D; Barreto, Paula G; Leite, Deborah C F; Gurgel, Ricardo Q.
Afiliación
  • van der Fluit KS; Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.
  • Boom MC; Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.
  • Brandão MB; Department of Pediatrics, Hospital e Maternidade Santa Isabel, Aracaju, Brazil.
  • Lopes GD; Professional Graduate Program in Health Technological Management and Innovation, Federal University of Sergipe, Aracaju, Brazil.
  • Barreto PG; Department of Pediatrics, Medicine Faculty, Tiradentes University, Aracaju, Brazil.
  • Leite DCF; Department of Pediatrics, Medicine Faculty, Tiradentes University, Aracaju, Brazil.
  • Gurgel RQ; Department of Pediatrics, Medicine Faculty, Tiradentes University, Aracaju, Brazil.
Trop Med Int Health ; 26(10): 1240-1247, 2021 10.
Article en En | MEDLINE | ID: mdl-34192384
ABSTRACT

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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Indicadores de Salud / Hospitales / Monitoreo Fisiológico Tipo de estudio: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Child, preschool / Humans / Infant País/Región como asunto: America do sul / Brasil Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Indicadores de Salud / Hospitales / Monitoreo Fisiológico Tipo de estudio: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Child, preschool / Humans / Infant País/Región como asunto: America do sul / Brasil Idioma: En Año: 2021 Tipo del documento: Article