Remote home monitoring (virtual wards) for confirmed or suspected COVID-19 patients: a rapid systematic review
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Abstract
ABSTRACT Objectives The aim of this review was to analyse the implementation and impact of remote home monitoring models (virtual wards) during COVID-19, identifying their main components, processes of implementation, target patient populations, impact on outcomes, costs and lessons learnt. Design A rapid systematic review to capture an evolving evidence base. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. Setting The review included models led by primary and secondary care across seven countries. Participants 27 articles were included in the review. Main outcome measures Impact of remote home monitoring on virtual length of stay, escalation, emergency department attendance/reattendance, admission/readmission and mortality. Results The aim of the models was to maintain patients safe in the right setting. Most models were led by secondary care and confirmation of COVID-19 was not required (in most cases). Monitoring was carried via online platforms, paper-based systems with telephone calls or (less frequently) through wearable sensors. Models based on phone calls were considered more inclusive. Patient/carer training was identified as a determining factor of success. We could not reach substantive conclusions regarding patient safety and the identification of early deterioration due to lack of standardised reporting and missing data. Economic analysis was not reported for most of the models and did not go beyond reporting resources used and the amount spent per patient monitored. Conclusions Future research should focus on staff and patient experiences of care and inequalities in patients’ access to care. Attention needs to be paid to the cost-effectiveness of the models and their sustainability, evaluation of their impact on patient outcomes by using comparators, and the use of risk-stratification tools. Protocol registration The review protocol was published on PROSPERO (CRD: 42020202888). RESEARCH IN CONTEXT Evidence before this study Remote home monitoring models for other conditions have been studied, but their adaptation to monitor COVID-19 patients and the analysis of their implementation constitute gaps in research. Added value of this study The review covers a wide range of remote home monitoring models (pre-hospital as well as step-down wards) implemented in primary and secondary care sectors in eight countries and focuses on their implementation and impact on outcomes (including costs). Implications of all the available evidence The review provides a rapid overview of an emerging evidence base that can be used to inform changes in policy and practice regarding the home monitoring of patients during COVID-19. Attention needs to be paid to the cost-effectiveness of the models and their sustainability, evaluation of their impact on patient outcomes by using comparators, and the use of risk-stratification tools.
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There is limited research on the economic or fiscal impact mHealth solutions have had during the COVID-19 pandemic.
“there is limited research carried out on the economic/fiscal impact mHealth solutions have had in this unique time [27, 28].”
From A prospective observational real world feasibility study assessing the role of app-based remote patient monitoring in reducing primary care clinician workload during the COVID pandemic (2021) · cites this paper as [28]
The Discussion says economic evidence for COVID-19 remote home monitoring was limited, and the Results say very few selected studies provided an economic analysis. This supports the claim for remote monitoring, but the paper does not establish that research was limited across mHealth solutions generally. (LLM, conf=0.84)
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Cites
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Demystifying theory and its use in improvement
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“This could be due to the limited evidence on COVID-19 and the management of patients with this disease at the time of designing and implementing these models as well as the general limited use of programme theories in the design of healthcare interventions that has already been documented in the literature [31].”
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Sorted by citations
Shah, S. S., Safa, A., Johal, K., Obika, D., & Valentine, S. (2021) · BMC Family Practice · doi:10.1186/s12875-021-01594-7 · Cited by 19 · see citing works
- Authors
- Vindrola-Padros, C., Singh, K. E., Sidhu, M. S., Georghiou, T., Sherlaw-Johnson, C., Tomini, S. M., Inada-Kim, M., Kirkham, K., Streetly, A., Cohen, N., & Fulop, N. J.
- Affiliations
- University of Birmingham (GB)
- Nuffield Trust (GB)
- University College London (GB)
- Royal Hampshire County Hospital (GB)
- King's College London (GB)
- ORCID
- Venue
- eClinicalMedicine
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 37
- Pages
- 100965
- ISSN
- 2589-5370 (ISSN-L)
- PMC
- PMC8219406
- OpenAlex
- W3169549100
- Cited by
- 160
- References
- 4
- Citations by year
- 2026: 15 · 2025: 26 · 2024: 31 · 2023: 36 · 2022: 38 · 2021: 12 · 2020: 2
- FWCI
- 5.15
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- EClinicalMedicine (publishedVersion, cc-by)
- medRxiv (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Birmingham Research Portal (University of Birmingham) (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- National Institute for Health Research (HSDR16/138/31)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Physical Sciences › Computer Science › Information Systems › Healthcare during COVID-19 Pandemic
- Keywords
- COVID-19 pandemic, remote home monitoring, virtual wards, telemedicine, secondary care, primary care, hospital readmission, emergency department visits, mortality, telephone monitoring, wearable sensors, patient safety, implementation, cost-effectiveness, risk stratification
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