Evidence map›Paper›PMID 34588258›Full record

ArticleBMJ open2021

Mixed methods protocol to examine the acceptability and clinical characteristics of a remote monitoring programme for delivery of COVID-19 care, among healthcare staff and patients.

Robert Fox, Sophie Mulcahy Symmons, Aoife De Brún, David Joyce, Eavan G Muldoon, Tara McGinty, Katherine M A O'Reilly, Eileen O'Connor, Eilish McAuliffe

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Robert FoxSchool of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland Robert.Fox@ucd.ie.ORCID 0000-0002-0950-3865
Sophie Mulcahy SymmonsSchool of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland.
Aoife De BrúnSchool of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland.
David JoyceSchool of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland.
Eavan G MuldoonDepartment of Infectious Diseases, Mater Misericordiae University Hospital, Dublin, Ireland.
Tara McGintyDepartment of Infectious Diseases, Mater Misericordiae University Hospital, Dublin, Ireland.
Katherine M A O'ReillySchool of Medicine, University College Dublin, Dublin, Ireland.
Eileen O'ConnorDepartment of Infectious Diseases, Mater Misericordiae University Hospital, Dublin, Ireland.
Eilish McAuliffeSchool of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe use of remote monitoring technology to manage the care of patients with COVID-19 has been implemented to help reduce the burden placed on healthcare systems during the pandemic and protect the well-being of both staff and patients. Remote monitoring allows patients to record their signs and symptoms remotely (eg, while self-isolating at home) rather than requiring hospitalisation. Healthcare staff can, therefore, continually monitor their symptoms and be notified when the patient is showing signs of clinical deterioration. However, given the recency of the COVID-19 outbreak, there is a lack of research regarding the acceptance of remote monitoring interventions to manage COVID-19. This study will aim to evaluate the use of remote monitoring for managing COVID-19 cases from the perspective of both the patient and healthcare staff. METHODS AND ANALYSIS: Discharged patients from a large urban teaching hospital in Ireland, who have undergone remote monitoring for COVID-19, will be recruited to take part in a cross-sectional study consisting of a quantitative survey and a qualitative interview. A mixed methods design will be used to understand the experiences of remote monitoring from the perspective of the patient. Healthcare staff who have been involved in the provision of remote monitoring of patients with COVID-19 will be recruited to take part in a qualitative interview to understand their experiences with the process. Structural equation modelling will be used to examine the acceptance of the remote monitoring technology. Latent class analysis will be used to identify COVID-19 symptom profiles. Interview data will be examined using thematic analysis. ETHICS AND DISSEMINATION: Ethical approval has been granted by the ethical review boards at University College Dublin and the National Research Ethics Committee for COVID-19-related Research. Findings will be disseminated via publications in scientific journals, policy briefs, short reports and social media.

Indexed as

COVID-19Cross-Sectional StudiesDelivery of Health CareHumansPandemicsSARS-CoV-2COVID-19public healthtelemedicine

Identifiers

PMID34588258
PMCPMC8482534

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.