Evidence map›Paper›PMID 33966523›Full record

ArticleJournal of telemedicine and telecare2023

Validation of telemedicine-based self-assessment of vital signs for patients with COVID-19: A pilot study.

Nobuyuki Kagiyama, Makoto Hiki, Yuya Matsue, Tomotaka Dohi, Wataru Matsuzawa, Hiroyuki Daida, Tohru Minamino, Takatoshi Kasai

Open access · hybridAbstract read
In one paragraph

Article in Journal of telemedicine and telecare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Noncontact Sensors for Vital Signs Measurement: A Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

8 authors at 2 institutions in 1 country.

Nobuyuki KagiyamaDepartment of Digital Health and Telemedicine R&D, Juntendo University, Japan.ORCID 0000-0002-2305-0049
Makoto HikiDepartment of Cardiovascular Biology and Medicine, Juntendo University, Japan.
Yuya MatsueDepartment of Cardiovascular Biology and Medicine, Juntendo University, Japan.
Tomotaka DohiDepartment of Cardiovascular Biology and Medicine, Juntendo University, Japan.
Wataru MatsuzawaOgino Memorial Laboratory, Nihon Kohden Corporation, Japan.
Hiroyuki DaidaDepartment of Digital Health and Telemedicine R&D, Juntendo University, Japan.
Tohru MinaminoDepartment of Cardiovascular Biology and Medicine, Juntendo University, Japan.
Takatoshi KasaiDepartment of Digital Health and Telemedicine R&D, Juntendo University, Japan.
Juntendo University · JPNihon Kohden (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn the ongoing COVID-19 pandemic, the development of a system that would prevent the infection of healthcare providers is in urgent demand. We sought to investigate the feasibility and validity of a telemedicine-based system in which healthcare providers remotely check the vital signs measured by patients with COVID-19.

methodsPatients hospitalized with confirmed or suspected COVID-19 measured and uploaded their vital signs to secure cloud storage. Additionally, the respiratory rates were monitored using a mat-type sensor placed under the bed. We assessed the time until the values became available on the Cloud and the agreements between the patient-measured vital signs and simultaneous healthcare provider measurements.

resultsBetween 26 May-23 September 2020, 3835 vital signs were measured and uploaded to the cloud storage by the patients (

conclusionsTelemedicine-based self-assessment of vital signs in patients with COVID-19 was feasible and reliable. The system will be a useful alternative to traditional vital sign measurements by healthcare providers during the COVID-19 pandemic.

Indexed as

COVID-19TelemedicineAgedFemaleHumansMaleMonitoring, PhysiologicPandemicsPilot ProjectsSelf-AssessmentVital SignsCOVID-19information and communication technologynon-contact monitoringrespiratory monitoringTelemedicine

Identifiers

PMID33966523
PMCPMC10466931
OpenAlexW3161561413

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.