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Evaluating the impact of a pulse oximetry remote monitoring programme on mortality and healthcare utilisation in patients with covid-19 assessed in Accident and Emergency departments in England: a retrospective matched cohort study (preprint)
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.11.25.21266848
ABSTRACT
Objectives To identify the impact of a national pulse oximetry remote monitoring programme for covid-19 (COVID Oximetry @home; CO@h) on health service use and mortality in patients attending Accident and Emergency (A&E) departments. Design Retrospective matched cohort study of patients enrolled onto the CO@h pathway from A&E. Setting National Health Service (NHS) A&E departments in England. Participants All patients with a positive covid-19 test from 1st October 2020 to 3rd May 2021 who attended A&E from three days before to ten days after the date of the test. All patients who were admitted or died on the same or following day to the first A&E attendance within the time window were excluded. Interventions Participants enrolled onto CO@h were matched using demographic and clinical criteria to participants who were not enrolled. Main outcome measures Five outcome measures were examined within 28 days of first A&E attendance i) death from any cause; ii) any subsequent A&E attendance; iii) any emergency hospital admission; iv) critical care admission; and v) length of stay. Results 15,621 participants were included in the primary analysis, of whom 639 were enrolled onto CO@h and 14,982 were controls. Odds of death were 52% lower in those enrolled (95% CI 7%-75% lower) compared to those not enrolled on CO@h. Odds of any A&E attendance or admission were 37% (95% CI 16-63%) and 59% (95% CI 16-63%) higher, respectively, in those enrolled. Of those admitted, those enrolled had 53% (95% CI 7%-76%) lower odds of critical care admission. There was no significant impact on length of stay. Conclusions These findings indicate that for patients assessed in A&E, pulse oximetry remote monitoring may be a clinically effective and safe model for early detection of hypoxia and escalation, leading to increased subsequent A&E attendance and admissions, and reduced critical care requirement and mortality.
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Full text: Available Collection: Preprints Database: medRxiv Main subject: Death / COVID-19 / Hypoxia Language: English Year: 2021 Document Type: Preprint

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Full text: Available Collection: Preprints Database: medRxiv Main subject: Death / COVID-19 / Hypoxia Language: English Year: 2021 Document Type: Preprint