Using a learning health system framework to examine COVID-19 pandemic planning and response at a Canadian Health Centre.

ABSTRACT:

Background

The COVID-19 pandemic has presented a unique opportunity to explore how health systems adapt under rapid and constant change and develop a better understanding of health system transformation. Learning health systems (LHS) have been proposed as an ideal structure to inform a data-driven response to a public health emergency like COVID-19. The aim of this study was to use a LHS framework to identify assets and gaps in health system pandemic planning and response during the initial stages of the COVID-19 pandemic at a single Canadian Health Centre.

Methods

This paper reports the data triangulation stage of a concurrent triangulation mixed methods study which aims to map study findings onto the LHS framework. We used a triangulation matrix to map quantitative (textua

SUBMITTER: Cassidy C 

PROVIDER: S-EPMC9473619 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature