ArticleEClinicalMedicine2022
The impact of post-hospital remote monitoring of COVID-19 patients using pulse oximetry: A national observational study using hospital activity data.
Article in EClinicalMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Impact of remote biometric sensing on readmission risk and mortality after hospital discharge: Insights from a systematic review and meta-analysis.Journal of hospital medicine · 2026Pooled it
- Applying the major system change framework to evaluate implementation of rapid healthcare system change: a case study of COVID-19 remote home monitoring services.Implementation science communications · 2025Article
- A Cost Evaluation of COVID-19 Remote Home Monitoring Services in England.PharmacoEconomics - open · 2024Article
- Patient Characteristics Associated With Disparities in Engagement With and Experience of COVID-19 Remote Home Monitoring Services: A Mixed-Methods Evaluation.Health expectations : an international journal of public participation in health care and health policy · 2024Article
- Large-scale real-life implementation of technology-enabled care to maximize hospitals' medical surge preparedness during future infectious disease outbreaks and winter seasons: a viewpoint.Frontiers in public health · 2023Article
- Undertaking rapid evaluations during the COVID-19 pandemic: Lessons from evaluating COVID-19 remote home monitoring services in England.Frontiers in sociology · 2023Article
- A descriptive study of the clinical impacts on COVID-19 survivors using telemonitoring (The TeleCOVID Study).Frontiers in medical technology · 2023Article
- Evaluation of a remote monitoring service for patients with COVID-19 discharged from University College London Hospital.PloS one · 2023Article
- Patients' experiences of, and engagement with, remote home monitoring services for COVID-19 patients: A rapid mixed-methods study.Health expectations : an international journal of public participation in health care and health policy · 2022Article
- AIOps Architecture in Data Center Site Infrastructure Monitoring.Computational intelligence and neuroscience · 2022Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: There was a national roll out of 'COVID Virtual Wards' (CVW) during England's second COVID-19 wave (Autumn 2020 - Spring 2021). These services used remote pulse oximetry monitoring for COVID-19 patients following discharge from hospital. A key aim was to enable rapid detection of patient deterioration. It was anticipated that the services would support early discharge, reducing pressure on beds. This study is an evaluation of the impact of the CVW services on hospital activity. Methods: Using retrospective patient-level hospital admissions data, we built multivariate models to analyze the relationship between the implementation of CVW services and hospital activity outcomes: length of COVID-19 related stays and subsequent COVID-19 readmissions within 28 days. We used data from more than 98% of recorded COVID-19 hospital stays in England, where the patient was discharged alive between mid-August 2020 and late February 2021. Findings: We found a longer length of stay for COVID-19 patients discharged from hospitals where a CVW was available, when compared to patients discharged from hospitals where there was no CVW (adjusted IRR 1·05, 95% CI 1·01 to 1·09). We found no evidence of a relationship between the availability of CVW and subsequent rates of readmission for COVID-19 (adjusted OR 0.97, 95% CI 0.91 to 1·03). Interpretation: We found no evidence of early discharges or changes in readmissions associated with the roll out of COVID Virtual Wards across England. Our analysis made pragmatic use of national-scale hospital data, but it is possible that a lack of specific data (for example, on which patients were enrolled and on potentially important confounders) may have meant that true impacts, especially at a local level, were not ultimately discernible. It is important that future research is able to make use of better quality - preferably linked - data, from multiple sites. Funding: This is independent research funded by the National Institute for Health Research, Health Services & Delivery Research program (RSET Project no. 16/138/17; BRACE Project no. 16/138/31) and NHSE&I. NJF is an NIHR Senior Investigator.
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