Development and validation of a workload prediction tool for nurses in pediatric intensive care units - The QuantI2S tool
QuantI<sup>2</sup>S accurately predicts pediatric intensive care nursing workload, demonstrating excellent reliability and ease of use. By integrating nursing activities and child-specific factors, it provides a robust framework for optimizing staffing and improving patient care.
Authors
- Samira Harakat
- Nicole Hung
- Philippe Jouvet (ORCID: https://orcid.org/0000-0001-5684-3398)
- Johanne Déry (ORCID: https://orcid.org/0000-0001-8353-9738)
- Camille Jutras (ORCID: https://orcid.org/0000-0003-0255-2426)
- Jean Théroux (ORCID: https://orcid.org/0000-0002-5883-1590)
- Alexa Eberle
- Sylvie Charette
- Julien Gardner
- Sylvie Le May
- Karine Bouchard
- Alexandre Leclair
Institutions
- HEC Montréal (CA)
- HTC (Taiwan) (TW)
- Centre Hospitalier Universitaire Sainte-Justine (CA)
- Centre Hospitalier de l’Université de Montréal (CA)
- McGill University (CA)
- Université de Montréal (CA)
Publication Details
- Journal
- Journal of Pediatric Nursing
- Published
- 2026-03-14
- DOI
- https://doi.org/10.1016/j.pedn.2026.02.041
- Primary Topic
- Simulation-Based Education in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00