ArticlePhysiological measurement2020
Remote health diagnosis and monitoring in the time of COVID-19.
Article in Physiological measurement, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses 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
31 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Impact of patient support programmes among patients with severe asthma treated with biological therapies: a systematic literature review and indirect treatment comparison.BMJ open respiratory research · 2024Pooled it
- Telemedicine use in Sub-Saharan Africa: Barriers and policy recommendations for Covid-19 and beyond.International journal of medical informatics · 2021Pooled it
- Non clinic-Based Interventions to Mitigate Post-Intensive Care Syndrome: A Scoping Review.Critical care explorations · 2026Article
- Digital health to strengthen pediatric surgical referral and follow-up in Low-resource settings: progress, gaps, and future directions.Frontiers in surgery · 2026Review
- Patient's knowledge, attitudes, and practices toward acute coronary syndrome: a cross-sectional study.Frontiers in cardiovascular medicine · 2026Article
- Analysis of the monitoring of the expansion of Covid-19 testing and surveillance in a municipality.Revista de saude publica · 2026Article
- Telemonitoring post-renal transplantation and role of advanced practice nurses: a single center experience.Frontiers in nephrology · 2026Article
- Characterization of Post-Viral Infection Behaviors Among Patients With Long COVID: Prospective, Observational, Longitudinal Cohort Analyses of Fitbit Data and Patient-Reported Outcomes.JMIR formative research · 2025Observational
- Assessment of autonomic function in patient with COVID-19 and other infectious diseases using a wearable smart band connected to a mobile application.Frontiers in psychiatry · 2025Article
- Assessing Response Rates and Sleep Disorder Prevalence: Insights from a Propranolol Treatment Study for Infantile Haemangiomas.Children (Basel, Switzerland) · 2024Article
- Artificial Intelligence-Based Applications for Bone Fracture Detection Using Medical Images: A Systematic Review.Diagnostics (Basel, Switzerland) · 2024Review
- UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis.... Clinical Natural Language Processing Workshop : proceedings of the workshop · 2024Article
- Maintaining essential health services during COVID-19 in Ghana: a qualitative study.BMJ global health · 2024Article
- How the commercial virtual care industry gathers, uses and values patient data: a Canadian qualitative study.BMJ open · 2024Article
- A Biobanking System for Diagnostic Images: Architecture Development, COVID-19-Related Use Cases, and Performance Evaluation.JMIR formative research · 2023Article
- The 2023 wearable photoplethysmography roadmap.Physiological measurement · 2023Review
- Detection of QT interval prolongation using Apple Watch electrocardiogram in children and adolescents with congenital long QT syndrome.International journal of cardiology. Heart & vasculature · 2023Article
- Role of Wearable Sensing Technology to Manage Long COVID.Biosensors · 2022Review
- Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder.NPJ digital medicine · 2022Review
- Review on the COVID-19 pandemic prevention and control system based on AI.Engineering applications of artificial intelligence · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is rapidly spreading across the globe. The clinical spectrum of SARS-CoV-2 pneumonia requires early detection and monitoring, within a clinical environment for critical cases and remotely for mild cases, with a large spectrum of symptoms. The fear of contamination in clinical environments has led to a dramatic reduction in on-site referrals for routine care. There has also been a perceived need to continuously monitor non-severe COVID-19 patients, either from their quarantine site at home, or dedicated quarantine locations (e.g. hotels). In particular, facilitating contact tracing with proximity and location tracing apps was adopted in many countries very rapidly. Thus, the pandemic has driven incentives to innovate and enhance or create new routes for providing healthcare services at distance. In particular, this has created a dramatic impetus to find innovative ways to remotely and effectively monitor patient health status. In this paper, we present a review of remote health monitoring initiatives taken in 20 states during the time of the pandemic. We emphasize in the discussion particular aspects that are common ground for the reviewed states, in particular the future impact of the pandemic on remote health monitoring and consideration on data privacy.
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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.