Clinical outcomes of digital sensor alerting systems in remote monitoring: a systematic review and meta-analysis

Abstract Advances in digital technologies have allowed remote monitoring and digital alerting systems to gain popularity. Despite this, limited evidence exists to substantiate claims that digital alerting can improve clinical outcomes. The aim of this study was to appraise the evidence on the clinic...

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Autores principales: Fahad M. Iqbal, Kyle Lam, Meera Joshi, Sadia Khan, Hutan Ashrafian, Ara Darzi
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/c8479eb676e04cf09d2b3cdef7608876
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spelling oai:doaj.org-article:c8479eb676e04cf09d2b3cdef76088762021-12-02T16:05:59ZClinical outcomes of digital sensor alerting systems in remote monitoring: a systematic review and meta-analysis10.1038/s41746-020-00378-02398-6352https://doaj.org/article/c8479eb676e04cf09d2b3cdef76088762021-01-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-00378-0https://doaj.org/toc/2398-6352Abstract Advances in digital technologies have allowed remote monitoring and digital alerting systems to gain popularity. Despite this, limited evidence exists to substantiate claims that digital alerting can improve clinical outcomes. The aim of this study was to appraise the evidence on the clinical outcomes of digital alerting systems in remote monitoring through a systematic review and meta-analysis. A systematic literature search, with no language restrictions, was performed to identify studies evaluating healthcare outcomes of digital sensor alerting systems used in remote monitoring across all (medical and surgical) cohorts. The primary outcome was hospitalisation; secondary outcomes included hospital length of stay (LOS), mortality, emergency department and outpatient visits. Standard, pooled hazard ratio and proportion of means meta-analyses were performed. A total of 33 studies met the eligibility criteria; of which, 23 allowed for a meta-analysis. A 9.6% mean decrease in hospitalisation favouring digital alerting systems from a pooled random effects analysis was noted. However, pooled weighted mean differences and hazard ratios did not reproduce this finding. Digital alerting reduced hospital LOS by a mean difference of 1.043 days. A 3% mean decrease in all-cause mortality from digital alerting systems was noted. There was no benefit of digital alerting with respect to emergency department or outpatient visits. Digital alerts can considerably reduce hospitalisation and length of stay for certain cohorts in remote monitoring. Further research is required to confirm these findings and trial different alerting protocols to understand optimal alerting to guide future widespread implementation.Fahad M. IqbalKyle LamMeera JoshiSadia KhanHutan AshrafianAra DarziNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 4, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Computer applications to medicine. Medical informatics
R858-859.7
spellingShingle Computer applications to medicine. Medical informatics
R858-859.7
Fahad M. Iqbal
Kyle Lam
Meera Joshi
Sadia Khan
Hutan Ashrafian
Ara Darzi
Clinical outcomes of digital sensor alerting systems in remote monitoring: a systematic review and meta-analysis
description Abstract Advances in digital technologies have allowed remote monitoring and digital alerting systems to gain popularity. Despite this, limited evidence exists to substantiate claims that digital alerting can improve clinical outcomes. The aim of this study was to appraise the evidence on the clinical outcomes of digital alerting systems in remote monitoring through a systematic review and meta-analysis. A systematic literature search, with no language restrictions, was performed to identify studies evaluating healthcare outcomes of digital sensor alerting systems used in remote monitoring across all (medical and surgical) cohorts. The primary outcome was hospitalisation; secondary outcomes included hospital length of stay (LOS), mortality, emergency department and outpatient visits. Standard, pooled hazard ratio and proportion of means meta-analyses were performed. A total of 33 studies met the eligibility criteria; of which, 23 allowed for a meta-analysis. A 9.6% mean decrease in hospitalisation favouring digital alerting systems from a pooled random effects analysis was noted. However, pooled weighted mean differences and hazard ratios did not reproduce this finding. Digital alerting reduced hospital LOS by a mean difference of 1.043 days. A 3% mean decrease in all-cause mortality from digital alerting systems was noted. There was no benefit of digital alerting with respect to emergency department or outpatient visits. Digital alerts can considerably reduce hospitalisation and length of stay for certain cohorts in remote monitoring. Further research is required to confirm these findings and trial different alerting protocols to understand optimal alerting to guide future widespread implementation.
format article
author Fahad M. Iqbal
Kyle Lam
Meera Joshi
Sadia Khan
Hutan Ashrafian
Ara Darzi
author_facet Fahad M. Iqbal
Kyle Lam
Meera Joshi
Sadia Khan
Hutan Ashrafian
Ara Darzi
author_sort Fahad M. Iqbal
title Clinical outcomes of digital sensor alerting systems in remote monitoring: a systematic review and meta-analysis
title_short Clinical outcomes of digital sensor alerting systems in remote monitoring: a systematic review and meta-analysis
title_full Clinical outcomes of digital sensor alerting systems in remote monitoring: a systematic review and meta-analysis
title_fullStr Clinical outcomes of digital sensor alerting systems in remote monitoring: a systematic review and meta-analysis
title_full_unstemmed Clinical outcomes of digital sensor alerting systems in remote monitoring: a systematic review and meta-analysis
title_sort clinical outcomes of digital sensor alerting systems in remote monitoring: a systematic review and meta-analysis
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/c8479eb676e04cf09d2b3cdef7608876
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