Evidence map›Paper›PMID 35642177›Full record

ArticleJAMIA open2022

Impact of a telemedicine system on work burden and mental health of healthcare providers working with COVID-19: a multicenter pre-post prospective study.

Nobuyuki Kagiyama, Takayuki Komatsu, Masanori Nishikawa, Makoto Hiki, Mariko Kobayashi, Wataru Matsuzawa, Hiroyuki Daida, Tohru Minamino, Toshio Naito, Manabu Sugita and 3 more

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In one paragraph

Article in JAMIA open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Nobuyuki KagiyamaDepartment of Digital Health and Telemedicine R&D, Juntendo University, Tokyo, Japan.ORCID https://orcid.org/0000-0002-2305-0049
Takayuki KomatsuDepartment of Emergency and Critical Care Medicine, Juntendo University Nerima Hospital, Tokyo, Japan.
Masanori NishikawaDepartment of Respiratory Medicine, Fujisawa City Hospital, Fujisawa, Japan.
Makoto HikiDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Mariko KobayashiOgino Memorial Laboratory, Nihon Kohden Corporation, Tokyo, Japan.
Wataru MatsuzawaOgino Memorial Laboratory, Nihon Kohden Corporation, Tokyo, Japan.
Hiroyuki DaidaDepartment of Digital Health and Telemedicine R&D, Juntendo University, Tokyo, Japan.
Tohru MinaminoDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Toshio NaitoDepartment of General Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.
Manabu SugitaDepartment of Emergency and Critical Care Medicine, Juntendo University Nerima Hospital, Tokyo, Japan.
Kunihisa MiyazakiDepartment of Surgery, Tokyo-Kita Medical Center, Tokyo, Japan.
Hideaki AnanEmergency Medical Center, Fujisawa City Hospital, Fujisawa, Kanagawa, Japan.
Takatoshi KasaiDepartment of Digital Health and Telemedicine R&D, Juntendo University, Tokyo, Japan.ORCID https://orcid.org/0000-0001-5747-7668

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The coronavirus disease 2019 (COVID-19) pandemic impacts not only patients but also healthcare providers. This study seeks to investigate whether a telemedicine system reduces physical contact in addressing the COVID-19 pandemic and mitigates nurses' distress and depression. Methods: Patients hospitalized with COVID-19 in 4 hospitals and 1 designated accommodation measured and uploaded their vital signs to secure cloud storage for remote monitoring. Additionally, a mat-type sensor placed under the bed monitored the patients' respiratory rates. Using the pre-post prospective design, visit counts and health care providers' mental health were assessed before and after the system was introduced. Results: A total of 100 nurses participated in the study. We counted the daily visits for 48 and 69 patients with and without using the telemedicine system. The average patient visits were significantly less with the system (16.3 [5.5-20.3] vs 7.5 [4.5-17.5] times/day, Conclusions: Telemedicine-based self-assessment of vital signs reduces nurses' physical contact with COVID-19 patients. Most nurses responded that the system is easy and effective in reducing healthcare providers' infection risk.

Indexed as

COVID-19information and communication technologynoncontact monitoringrespiratory monitoringtelemedicine

Identifiers

PMID35642177
PMCPMC9129187

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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.