Evidence map›Paper›PMID 34580103›Full record

ArticleBMJ open2021

Implementation and use of mHealth home telemonitoring in adults with acute COVID-19 infection: a scoping review protocol.

Nurlan Dauletbaev, Sebastian Kuhn, Svea Holtz, Susanne Waldmann, Lukas Niekrenz, Beate S Müller, Carla Bellinghausen, Michael Dreher, Gernot G U Rohde, Claus Vogelmeier

Open access · goldAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

10 authors at 4 institutions in 2 countries.

Nurlan DauletbaevDepartment of Internal, Respiratory and Critical Care Medicine, Philipps-Universitat Marburg, Marburg, Hessen, Germany nurlan.dauletbayev@uni-marburg.de.ORCID 0000-0002-7114-1041
Sebastian KuhnDepartment of Digital Medicine, Bielefeld University Faculty of Medicine, Bielefeld, Germany.
Svea HoltzInstitute of General Practice, Goethe University Frankfurt, Frankfurt am Main, Hessen, Germany.
Susanne WaldmannCentral Medical Library, Philipps-Universitat Marburg, Marburg, Hessen, Germany.
Lukas NiekrenzDepartment of Pneumology and Intensive Care Medicine, University Hospital Aachen, Aachen, Nordrhein-Westfalen, Germany.
Beate S MüllerInstitute of General Practice, Goethe University Frankfurt, Frankfurt am Main, Hessen, Germany.ORCID 0000-0002-6745-1047
Carla BellinghausenDepartment of Respiratory Medicine, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Hessen, Germany.
Michael DreherDepartment of Pneumology and Intensive Care Medicine, University Hospital Aachen, Aachen, Nordrhein-Westfalen, Germany.
Gernot G U RohdeDepartment of Respiratory Medicine, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Hessen, Germany.
Claus VogelmeierDepartment of Internal, Respiratory and Critical Care Medicine, Philipps-Universitat Marburg, Marburg, Hessen, Germany.
Goethe University Frankfurt · DEPhilipps University of Marburg · DEUniversitätsklinikum Aachen · DEBielefeld University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionmHealth refers to digital technologies that, via smartphones, mobile apps and specialised digital sensors, yield real-time assessments of patient's health status. In the context of the COVID-19 pandemic, these technologies enable remote patient monitoring, with the benefit of timely recognition of disease progression to convalescence, deterioration or postacute sequelae. This should enable appropriate medical interventions and facilitate recovery. Various barriers, both at patient and technology levels, have been reported, hindering implementation and use of mHealth telemonitoring. As systematised and synthesised evidence in this area is lacking, we developed this protocol for a scoping review on mHealth home telemonitoring of acute COVID-19. METHODS AND ANALYSIS: We compiled a search strategy following the PICO (Population, Intervention, Comparator, Outcome) and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses recommendation for Scoping Reviews) guidelines. MEDLINE, Embase and Web of Science will be searched from 1 March 2020 to 31 August 2021. Following the title and abstract screening, we will identify, systematise and synthesise the available knowledge. Based on pilot searches, we preview three themes for descriptive evidence synthesis. The first theme relates to implementation and use of mHealth telemonitoring, including reported barriers. The second theme covers the interactions of the telemonitoring team within and between different levels of the healthcare system. The third theme addresses how this telemonitoring warrants the continuity of care, also during disease transition into deterioration or postacute sequelae. ETHICS AND DISSEMINATION: The studied evidence is in the public domain, therefore, no specific ethics approval is required. Evidence dissemination will be via peer-reviewed publications, conference presentations and reports to the policy makers.

Indexed as

COVID-19Mobile ApplicationsTelemedicineAdultHumansPandemicsSARS-CoV-2Scoping Reviews as Topicaccident & emergency medicineCOVID-19intensive & critical carerehabilitation medicinerespiratory medicine (see thoracic medicine)telemedicine

Identifiers

PMID34580103
PMCPMC8478582
OpenAlexW3204627965

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.