Evidence map›Paper›PMID 37537615›Full record

ReviewBMC health services research2023

Remote patient monitoring for COVID-19 patients: comparisons and framework for reporting.

David Joyce, Aoife De Brún, Sophie Mulcahy Symmons, Robert Fox, Eilish McAuliffe

Open access · goldAbstract readReview
In one paragraph

Review in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

David JoyceInterdisciplinary Research Education and Innovation in Health Systems (IRIS) Centre, School of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, D04 V1W8, Ireland.
Aoife De BrúnInterdisciplinary Research Education and Innovation in Health Systems (IRIS) Centre, School of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, D04 V1W8, Ireland.ORCID http://orcid.org/0000-0003-0124-0893
Sophie Mulcahy SymmonsInterdisciplinary Research Education and Innovation in Health Systems (IRIS) Centre, School of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, D04 V1W8, Ireland.ORCID http://orcid.org/0000-0003-0749-6582
Robert FoxInterdisciplinary Research Education and Innovation in Health Systems (IRIS) Centre, School of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, D04 V1W8, Ireland.
Eilish McAuliffeInterdisciplinary Research Education and Innovation in Health Systems (IRIS) Centre, School of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, D04 V1W8, Ireland. eilish.mcauliffe@ucd.ie.ORCID http://orcid.org/0000-0002-9714-5040
University College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 has challenged health services throughout the world in terms of hospital capacity and put staff and vulnerable populations at risk of infection. In the face of these challenges, many health providers have implemented remote patient monitoring (RPM) of COVID-19 patients in their own homes. However systematic reviews of the literature on these implementations have revealed wide variations in how RPM is implemented; along with variations in particulars of RPM reported on, making comparison and evaluation difficult. A review of reported items is warranted to develop a framework of key items to enhance reporting consistency. The aims of this review of remote monitoring for COVID-19 patients are twofold: (1) to facilitate comparison between RPM implementations by tabulating information and values under common domains. (2) to develop a reporting framework to enhance reporting consistency.

methodA review of the literature for RPM for COVID-19 patients was conducted following PRISMA guidelines. The Medline database was searched for articles published between 2020 to February 2023 and studies reporting on items with sufficient detail to compare one with another were included. Relevant data was extracted and synthesized by the lead author. Quality appraisal was not conducted as the the articles considered were evaluated as informational reports of clinical implementations rather than as studies designed to answer a research question.

resultsFrom 305 studies retrieved, 23 studies were included in the review: fourteen from the US, two from the UK and one each from Africa, Ireland, China, the Netherlands, Belgium, Australia and Italy. Sixteen generally reported items were identified, shown with the percentage of studies reporting in brackets: Reporting Period (82%), Rationale (100%), Patients (100%), Medical Team (91%) Provider / Infrastructure (91%), Communications Platform (100%), Patient Equipment (100%), Training (48%), Markers (96%), Frequency of prompt / Input (96%),Thresholds (82%), Discharge (61%), Enrolled (96%), Alerts/Escalated (78%), Patient acceptance (43%), and Patient Adherence (52%). Whilst some studies reported on patient training and acceptance, just one reported on staff training and none on staff acceptance.

conclusionsVariations in reported items were found. Pending the establishment of a robust set of reporting guidelines, we propose a reporting framework consisting of eighteen reporting items under the following four domains: Context, Technology, Process and Metrics.

Indexed as

COVID-19AfricaAustraliaBelgiumHumansPatient ComplianceCOVID-19FrameworkImplementationRemote patient monitoringReporting guidelinesTechnology

Identifiers

PMID37537615
PMCPMC10401771
OpenAlexW4385553896

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.