Evidence map›Paper›PMID 34395648›Full record

ReviewJournal of education and health promotion2021

Systematic review on telemedicine platforms in lockdown periods: Lessons learned from the COVID-19 pandemic.

Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi, Sasan Ghorbani Kalkhajeh, Gholam Basati

Abstract readReview
In one paragraph

Review in Journal of education and health promotion, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 6 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

32 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  13. Download to heal: navigating the pixelated path of digital therapeutics in psychiatric care.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025
    Review
  14. 'A tool for every job': use of video in urgent primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
    Article
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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

4 authors.

Mostafa ShanbehzadehDepartment of Health Information Technology, School of Paramedical, Ilam University of Medical Sciences, Ilam, Iran.
Hadi Kazemi-ArpanahiDepartment of Heath Information Technology, Abadan University of Medical Sciences, Abadan, Iran.
Sasan Ghorbani KalkhajehDepartment of Public Health, Abadan University of Medical Sciences, Abadan, Iran.
Gholam BasatiDepartment of Biochemistry, School of Medicine Biotechnology and Medicinal Plants Research Center, Ilam University of Medical Sciences, Ilam, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the onset of the coronavirus disease 2019 (COVID-19) outbreak, the transformation of the care delivery model from conventional in-person (face to face) to largely virtual or remote care has been accelerated to appropriately allocate resources and constrain the spread of the virus. In this regard, telemedicine is a breakthrough technology to battle against the COVID-19 emergency. Therefore, we sought to identify the telemedicine applications in the COVID-19 pandemic (tele-COVID) according to interaction modes, transmission modalities, and disease categories. This systematic review was conducted through searching five databases including PubMed, Scopus, ProQuest, Web of Science, and Science Direct. Inclusion criteria were studies clearly outlining any use of telemedicine interactive mode during the COVID-19 pandemic, written in English language and published in peer-reviewed journals in 2020. Finally, 43 articles met the inclusion out of the 1118 search results. Telemedicine provides a diversity of interaction modes and modalities affordable by patients and physicians including short message service, E-mail and web portals, secure telephone calls or VOIP, video calls, interactive mobile health applications (m-Health), remote patient monitoring, and video conferencing. Transmission of video data using synchronized video calls via common social media had the highest and exchange of data using store-forward service via secure messaging technology and prerecorded multimedia had the lowest popularity for virtual disease management during the COVID-19 outbreak. Selection of telemedicine communication services and interaction modes with regard to its use-case, disease category, and application plays a significant role in the success of remote disease management infrastructures in this scenario and their implication for a better future healthcare system.

Indexed as

CoronavirusCOVID-19telehealthtelemedicinevirtual care

Identifiers

PMID34395648
PMCPMC8318195

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.