ArticleJournal of medical Internet research2021
Overview of Technologies Implemented During the First Wave of the COVID-19 Pandemic: Scoping Review.
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.
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.
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.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- Remote mental health care interventions during the COVID-19 pandemic: An umbrella review.Behaviour research and therapy · 2022Pooled it
- Pilot implementation study of a web-based men's health screening app in primary care during COVID-19: a mixed-methods approach.BMC health services research · 2024Trial
- Hybrid Care Modifications in the Delivery of Nonpandemic Care During the COVID-19 Pandemic: Scoping Review.Journal of medical Internet research · 2026Article
- Factors influencing primary care physicians recommending patients to use digital health technologies for self-management: A cross-sectional study across 20 countries.The European journal of general practice · 2025Article
- Patient Organizations' Digital Responses to the COVID-19 Pandemic: Scoping Review.Journal of medical Internet research · 2024Article
- Indications of digital literacy during Latino-focused, community-based COVID-19 testing implementation.JAMIA open · 2024Article
- Towards 'Formalising' WhatsApp Teledermatology Practice in KZ-N District Hospitals: Key Informant Interviews.International journal of environmental research and public health · 2024Article
- Lessons from the COVID-19 pandemic to strengthen NCD care and policy in humanitarian settings: a mixed methods study exploring humanitarian actors' experiences.BMC health services research · 2024Article
- Context matters-the phased development of an adaptable food literacy intervention: Up for Cooking.Health promotion international · 2023Article
- Telehealth and COVID-19 Pandemic: An Overview of the Telehealth Use, Advantages, Challenges, and Opportunities during COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2022Article
- What can we learn from rapidly developed patient decision aids produced during the covid-19 pandemic?BMJ (Clinical research ed.) · 2022Article
- 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 · 2022Review
- Development and Evaluation of Internet-based Health Technology in Pediatric Oncology: A Scoping Review.Asian Pacific journal of cancer prevention : APJCP · 2022Article
- The worldwide impact of telemedicine during COVID-19: current evidence and recommendations for the future.Connected health · 2022Article
- Acceptance of E-Mental Health Services for Different Application Purposes Among Psychotherapists in Clinical Training in Germany and Switzerland: Secondary Analysis of a Cross-Sectional Survey.Frontiers in digital health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.