Record Details

Physician and Nurse Interprofessional Collaboration Pre- and Post- PEWS-RL/Rapid Response Algorithm Training and Implementation Survey

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Physician and Nurse Interprofessional Collaboration Pre- and Post- PEWS-RL/Rapid Response Algorithm Training and Implementation Survey
 
Identifier https://doi.org/10.7910/DVN/EBSOLC
 
Creator Rosman, Samantha
 
Publisher Harvard Dataverse
 
Description The study goal was to assess the impact of training and implementation of an early warning score and rapid response algorithm on interprofessional collaboration in a resource-limited setting. The study took place in the Pediatric Department of the main academic referral hospital in Rwanda between April 2019 and January 2020. Pediatric nurses and residents were trained on the use of the Pediatric Warning Score for Resource-Limited Settings (PEWS-RL) and a rapid response algorithm. Training included vital sign collection, PEWS-RL calculation, interprofessional collaboration and a rapid response algorithm implementation. Prior to training, participants completed surveys on IPC with Likert scale responses (from “strongly disagree” to “strongly agree”). Follow-up surveys were then administered 9 months later and also included an open-response question on the impact of the PEWS-RL implementation on IPC.
 
Subject Medicine, Health and Life Sciences
Interprofessional Collaboration
Early Warning Scores
Resource-Limited Setting
 
Contributor Rosman, Samantha