Ontology highlight
ABSTRACT: Introduction
The pandemic saw widespread use of home pulse oximeters to patients diagnosed with COVID-19 to support early detection of low oxygen saturation levels and appropriate care. Rapid implementation made conventional evaluation challenging, highlighting the need for rigorous non-randomised methods to support decision-making about future use of these technologies. We used routine data to explore the benefits of pulse oximetry in Greater Manchester, under the 'COVID-19 oximetry at home' (CO@h) programme.Methods
We used data from the Greater Manchester Secure Data Environment and defined study parameters using a 'target trial' model to compare patients receiving pulse oximetry under the CO@h programme, with matched controls using various comparator groups. Primary outc
SUBMITTER: Rubinstein F
PROVIDER: S-EPMC11567555 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature