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

Trop Med Int Health. 2021 Oct;26(10):1240-1247. doi: 10.1111/tmi.13646. Epub 2021 Jul 21.

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.

Keywords: bedside-PEWS; implementation; paediatric care; paediatric early warning system (PEWS); quality improvement; resource-limited setting (RLS).

MeSH terms

  • Brazil
  • Child
  • Child, Preschool
  • Clinical Protocols
  • Critical Care
  • Critical Illness
  • Disease Progression
  • Health Status Indicators*
  • Hospitals*
  • Humans
  • Infant
  • Monitoring, Physiologic / standards*
  • Retrospective Studies