Evidence map›Paper›PMID 32642981›Full record

ReviewIrish journal of medical science2021

Exploring the adoption of telemedicine and virtual software for care of outpatients during and after COVID-19 pandemic.

Anthony Jnr Bokolo

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Irish journal of medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 164 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
164citing papers in PubMed, 11 pooled it
–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

164 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  12. Trial
  13. Article
  14. Child and adolescent psychiatry: challenges, solutions, opportunities, and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
    Article
  15. Article
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  17. Digital Inclusion in Parkinson's Disease: A Case-Control Study.Movement disorders clinical practice · 2025
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  20. Article

104 more citing papers are in PubMed but not listed here.

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

1 author.

Anthony Jnr BokoloDepartment of Computer Science, Norwegian University of Science and Technology, NTNU, NO-7491, Trondheim, Norway. anthony.j.bokolo@ntnu.no.ORCID http://orcid.org/0000-0002-7276-0258

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the novel coronavirus disease 2019 (COVID-19) continues to spread across countries, the need for innovative measures to provide high-quality patient care and manage its spread has become more imperative. Software-based systems such as medical software applications could provide valuable suggestion on health-related information to physicians towards improving quality of life, especially for outpatients (e.g., elderly, immunosuppressed, pregnant women). The use of telemedicine and virtual software offers promising potential in the fight against COVID-19. Accordingly, by means of expedited literature and document review, this paper provides implication on the opportunities, application, and challenges of telemedicine and existing virtual software currently adopted as suitable initiatives for reducing the spread of COVID-19. More importantly, findings present factors that impact adoption of telemedicine. The findings suggest that telemedicine and virtual software are capable of decreasing emergency room visits, safeguarding healthcare resources, and lessening the spread of COVID-19 by remotely treating patients during and after the COVID-19 pandemic.

Indexed as

SoftwareTelecommunicationsAmbulatory CareCOVID-19HumansOutpatientsPandemicsQuality of Health CareQuality of LifeSARS-CoV-2TelemedicineUser-Computer InterfaceCoronavirus 2019COVID-19OutpatientPandemicTelemedicine adoptionVirtual software platforms

Identifiers

PMID32642981
PMCPMC7340859

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.