Evidence map›Paper›PMID 34406962›Full record

ArticleJournal of medical Internet research2021

Overview of Technologies Implemented During the First Wave of the COVID-19 Pandemic: Scoping Review.

Alaa Abd-Alrazaq, Asmaa Hassan, Israa Abuelezz, Arfan Ahmed, Mahmood Saleh Alzubaidi, Uzair Shah, Dari Alhuwail, Anna Giannicchi, Mowafa Househ

Open access · goldAbstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Article
  7. Towards 'Formalising' WhatsApp Teledermatology Practice in KZ-N District Hospitals: Key Informant Interviews.International journal of environmental research and public health · 2024
    Article
  8. Article
  9. Article
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  12. Telemedicine for the Clinical Management of Diabetes; Implications and Considerations After COVID-19 Experience.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2022
    Review
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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

9 authors at 3 institutions in 3 countries.

Alaa Abd-AlrazaqDivision of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.ORCID 0000-0001-7695-4626
Asmaa HassanDivision of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.ORCID 0000-0003-1565-785X
Israa AbuelezzDivision of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.ORCID 0000-0002-1082-6864
Arfan AhmedDivision of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.ORCID 0000-0002-4025-5767
Mahmood Saleh AlzubaidiDivision of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.ORCID 0000-0002-6082-7873
Uzair ShahDivision of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.ORCID 0000-0002-6729-5654
Dari AlhuwailInformation Science Department, Kuwait University, Kuwait, Kuwait.ORCID 0000-0001-5038-3044
Anna GiannicchiSchool of Professional Studies, Berkeley College, New York, NY, United States.ORCID 0000-0003-0526-2985
Mowafa HousehDivision of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.ORCID 0000-0002-3648-6271
Hamad bin Khalifa University · QABerkeley College · USKuwait University · KW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTechnologies have been extensively implemented to provide health care services for all types of clinical conditions during the COVID-19 pandemic. While several reviews have been conducted regarding technologies used during the COVID-19 pandemic, they were limited by focusing either on a specific technology (or features) or proposed rather than implemented technologies.

objectiveThis review aims to provide an overview of technologies, as reported in the literature, implemented during the first wave of the COVID-19 pandemic.

methodsWe conducted a scoping review using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) Extension for Scoping Reviews. Studies were retrieved by searching 8 electronic databases, checking the reference lists of included studies and relevant reviews (backward reference list checking), and checking studies that cited included studies (forward reference list checking). The search terms were chosen based on the target intervention (ie, technologies) and the target disease (ie, COVID-19). We included English publications that focused on technologies or digital tools implemented during the COVID-19 pandemic to provide health-related services regardless of target health condition, user, or setting. Two reviewers independently assessed the eligibility of studies and extracted data from eligible papers. We used a narrative approach to synthesize extracted data.

resultsOf 7374 retrieved papers, 126 were deemed eligible. Telemedicine was the most common type of technology (107/126, 84.9%) implemented in the first wave of the COVID-19 pandemic, and the most common mode of telemedicine was synchronous (100/108, 92.6%). The most common purpose of the technologies was providing consultation (75/126, 59.5%), followed by following up with patients (45/126, 35.7%), and monitoring their health status (22/126, 17.4%). Zoom (22/126, 17.5%) and WhatsApp (12/126, 9.5%) were the most commonly used videoconferencing and social media platforms, respectively. Both health care professionals and health consumers were the most common target users (103/126, 81.7%). The health condition most frequently targeted was COVID-19 (38/126, 30.2%), followed by any physical health conditions (21/126, 16.7%), and mental health conditions (13/126, 10.3%). Technologies were web-based in 84.1% of the studies (106/126). Technologies could be used through 11 modes, and the most common were mobile apps (86/126, 68.3%), desktop apps (73/126, 57.9%), telephone calls (49/126, 38.9%), and websites (45/126, 35.7%).

conclusionsTechnologies played a crucial role in mitigating the challenges faced during the COVID-19 pandemic. We did not find papers describing the implementation of other technologies (eg, contact-tracing apps, drones, blockchain) during the first wave. Furthermore, technologies in this review were used for other purposes (eg, drugs and vaccines discovery, social distancing, and immunity passport). Future research on studies on these technologies and purposes is recommended, and further reviews are required to investigate technologies implemented in subsequent waves of the pandemic.

Indexed as

COVID-19TelemedicineHumansPandemicsSARS-CoV-2TechnologyCOVID-19digital healthdigital toolsnovel coronavirusscoping reviewtechnologiestelemedicine

Identifiers

PMID34406962
PMCPMC8767979
OpenAlexW3176595944

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.