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A rapid mixed-methods evaluation of remote home monitoring models during the COVID-19 pandemic in England

Health and Social Care Delivery Research, No. 11.13

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Author Information and Affiliations

Abstract

Background:

Remote home monitoring services were developed and implemented for patients with COVID-19 during the pandemic. Patients monitored blood oxygen saturation and other readings (e.g. temperature) at home and were escalated as necessary.

Objective:

To evaluate effectiveness, costs, implementation, and staff and patient experiences (including disparities and mode) of COVID-19 remote home monitoring services in England during the COVID-19 pandemic (waves 1 and 2).

Methods:

A rapid mixed-methods evaluation, conducted in two phases. Phase 1 (July–August 2020) comprised a rapid systematic review, implementation and economic analysis study (in eight sites). Phase 2 (January–June 2021) comprised a large-scale, multisite, mixed-methods study of effectiveness, costs, implementation and patient/staff experience, using national data sets, surveys (28 sites) and interviews (17 sites).

Results:

Phase 1 Findings from the review and empirical study indicated that these services have been implemented worldwide and vary substantially. Empirical findings highlighted that communication, appropriate information and multiple modes of monitoring facilitated implementation; barriers included unclear referral processes, workforce availability and lack of administrative support.

Phase 2 We received surveys from 292 staff (39% response rate) and 1069 patients/carers (18% response rate). We conducted interviews with 58 staff, 62 patients/carers and 5 national leads.

Despite national roll-out, enrolment to services was lower than expected (average enrolment across 37 clinical commissioning groups judged to have completed data was 8.7%). There was large variability in implementation of services, influenced by patient (e.g. local population needs), workforce (e.g. workload), organisational (e.g. collaboration) and resource (e.g. software) factors.

We found that for every 10% increase in enrolment to the programme, mortality was reduced by 2% (95% confidence interval: 4% reduction to 1% increase), admissions increased by 3% (−1% to 7%), in-hospital mortality fell by 3% (−8% to 3%) and lengths of stay increased by 1.8% (−1.2% to 4.9%). None of these results are statistically significant.

We found slightly longer hospital lengths of stay associated with virtual ward services (adjusted incidence rate ratio 1.05, 95% confidence interval 1.01 to 1.09), and no statistically significant impact on subsequent COVID-19 readmissions (adjusted odds ratio 0.95, 95% confidence interval 0.89 to 1.02).

Low patient enrolment rates and incomplete data may have affected chances of detecting possible impact.

The mean running cost per patient varied for different types of service and mode; and was driven by the number and grade of staff.

Staff, patients and carers generally reported positive experiences of services. Services were easy to deliver but staff needed additional training. Staff knowledge/confidence, NHS resources/workload, dynamics between multidisciplinary team members and patients’ engagement with the service (e.g. using the oximeter to record and submit readings) influenced delivery. Patients and carers felt services and human contact received reassured them and were easy to engage with. Engagement was conditional on patient, support, resource and service factors.

Many sites designed services to suit the needs of their local population. Despite adaptations, disparities were reported across some patient groups. For example, older adults and patients from ethnic minorities reported more difficulties engaging with the service.

Tech-enabled models helped to manage large patient groups but did not completely replace phone calls.

Limitations:

Limitations included data completeness, inability to link data on service use to outcomes at a patient level, low survey response rates and under-representation of some patient groups.

Future work:

Further research should consider the long-term impact and cost-effectiveness of these services and the appropriateness of different models for different groups of patients.

Conclusions:

We were not able to find quantitative evidence that COVID-19 remote home monitoring services have been effective. However, low enrolment rates, incomplete data and varied implementation reduced our chances of detecting any impact that may have existed. While services were viewed positively by staff and patients, barriers to implementation, delivery and engagement should be considered.

Study registration:

This study is registered with the ISRCTN (14962466).

Funding:

This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (RSET: 16/138/17; BRACE: 16/138/31) and NHSEI and will be published in full in Health and Social Care Delivery Research; Vol. 11, No. 13. See the NIHR Journals Library website for further project information. The views expressed in this publication are those of the authors and not necessarily those of the National Institute for Health and Care Research or the Department of Health and Social Care.

Plain language summary

The problem:

COVID-19 patients can experience very low oxygen levels, without feeling breathless. Patients may not realise there is a problem until they become extremely unwell, risking being admitted to hospital too late.

To address this, COVID-19 remote home monitoring services were developed and later rolled out across England. Patients monitored oxygen levels at home using an ‘oximeter’ (a small device which clips on to your finger) and sent these readings to providers via phone or technology (e.g. an app). Patients could access further care if needed.

We did not know whether these services worked, or what people felt about them.

We looked at

  • How services were set up and used in England.
  • Whether services work (e.g. by reducing deaths and length of hospital stay).
  • How much they cost.
  • What patients, carers and staff think about these services (including differences between groups and telephone vs. technology).

What we did:

We looked at available existing evidence and collected data from eight services operating in the first wave of the pandemic. During the second wave of the pandemic, we used data available at a national level and conducted surveys (28 sites) and interviews (17 sites) with staff, patients and individuals involved in developing/leading services nationally.

What we found:

These services have been used worldwide, but they vary considerably. We found many things that help these services to be used (e.g. good communication) but also things that get in the way (e.g. unclear referrals).

Our findings did not show that services reduce deaths or time in hospital. But these findings are limited by a lack of data.

Staff and patients liked these services, but we found some barriers to delivering and using the service. Some groups found services harder to use (e.g. older patients, those with disabilities and ethnic minorities).

Using technology helped with large patient groups, but it did not completely replace phone calls.

Conclusion:

Better information is needed to know whether these services work. Staff and patients liked these services. However, improvements may make them easier to deliver and use (e.g. further staff training and giving additional support to patients who need it).

Contents

About the Series

Health and Social Care Delivery Research
ISSN (Print): 2755-0060
ISSN (Electronic): 2755-0079

Full disclosure of interests: Completed ICMJE forms for all authors, including all related interests, are available in the toolkit on the NIHR Journals Library report publication page at https://doi​.org/10.3310/FVQW4410.

Primary conflicts of interest: Professor Fulop is an NIHR senior investigator and was a member of the NIHR Health Services and Delivery Research (HS&DR) Programme Funding Committee (2013–18), HS&DR Evidence Synthesis Sub Board (2016). She was a trustee of Health Services Research UK (to November 2022). She is the UCL-nominated non-executive director for Whittington Health NHS Trust (2018–) and non-executive director on the board of Covid Bereaved Families for Justice. Professor Morris was formerly a member of the NIHR HS&DR Programme Funding Committee (2014–16), the NIHR HS&DR Evidence Synthesis Sub Board (2016), the NIHR Unmet Need Sub Board, the NIHR HTA Clinical Evaluation and Trials Board (2007–9), the NIHR HTA Commissioning Board (2009–13), the NIHR PHR Research Funding Board (2011–17), and the NIHR Programme Grants for Applied Research expert subpanel (2015–19). The remaining authors have no competing interests to declare.

Article history

The research reported here is the product of an HSDR Rapid Service Evaluation Team, contracted to undertake real time evaluations of innovations and development in health and care services, which will generate evidence of national relevance. Other evaluations by the HSDR Rapid Service Evaluation Teams are available in the HSDR journal.

The research reported in this issue of the journal was funded by the HSDR programme or one of its preceding programmes as project number NIHR132703. The contractual start date was in August 2020. The final report began editorial review in March 2022 and was accepted for publication in July 2022. The authors have been wholly responsible for all data collection, analysis and interpretation, and for writing up their work. The HSDR editors and production house have tried to ensure the accuracy of the authors’ report and would like to thank the reviewers for their constructive comments on the final report document. However, they do not accept liability for damages or losses arising from material published in this report.

Last reviewed: March 2022; Accepted: July 2022.

Copyright © 2023 Fulop et al.

This work was produced by Fulop et al. under the terms of a commissioning contract issued by the Secretary of State for Health and Social Care. This is an Open Access publication distributed under the terms of the Creative Commons Attribution CC BY 4.0 licence, which permits unrestricted use, distribution, reproduction and adaption in any medium and for any purpose provided that it is properly attributed. See: https://creativecommons.org/licenses/by/4.0/. For attribution the title, original author(s), the publication source – NIHR Journals Library, and the DOI of the publication must be cited.

Bookshelf ID: NBK595751DOI: 10.3310/FVQW4410

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