Evidence map›Paper›PMID 36018468›Full record

ArticleJournal of medical systems2022

Effect of a Wireless Vital Sign Monitoring System on the Rapid Response System in the General Ward.

Won Ho Han, Dae Kyung Sohn, Yul Hwangbo, Hee Jung Park, Mijung Kim, Yoona Choi, Il Won Shin, Jung Min Lee, Heungki Jeon, Ki Chung Ryu and 2 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
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

12 authors at 1 institution in 1 country.

Won Ho HanDepartment of Critical Care Medicine, National Cancer Center, Goyang, 10408, South Korea.
Dae Kyung SohnDepartment of Innovative Technology, National Cancer Center, Goyang, 10408, South Korea.
Yul HwangboHealthcare AI Team, National Cancer Center, Goyang, 10408, South Korea.
Hee Jung ParkDepartment of Nursing, National Cancer Center, Goyang, 10408, South Korea.
Mijung KimDepartment of Nursing, National Cancer Center, Goyang, 10408, South Korea.
Yoona ChoiDepartment of Nursing, National Cancer Center, Goyang, 10408, South Korea.
Il Won ShinInformation Technology Team, National Cancer Center, Goyang, 10408, South Korea.
Jung Min LeeDepartment of Innovative Technology, National Cancer Center, Goyang, 10408, South Korea.
Heungki JeonDepartment of Innovative Technology, National Cancer Center, Goyang, 10408, South Korea.
Ki Chung RyuInformation Security Team, National Cancer Center, Goyang, 10408, South Korea.
Taesik YoonInformation Technology Team, National Cancer Center, Goyang, 10408, South Korea.
Jee Hee KimDepartment of Critical Care Medicine, National Cancer Center, Goyang, 10408, South Korea. anesth@ncc.re.kr.
National Cancer Center · KR

Funding

National Cancer Center NCC 1942540-1
6 · The paper itself

Abstract

While wireless vital sign monitoring is expected to reduce the vital sign measurement time (thus reducing the nursing workload), its impact on the rapid response system is unclear. This study compared the time from vital sign measurement to recording and rapid response system activation between wireless and conventional vital sign monitoring in the general ward, to investigate the impact of wireless vital sign monitoring system on the rapid response system. The study divided 249 patients (age > 18 years; female: 47, male: 202) admitted to the general ward into non-wireless (n = 101) and wireless (n = 148) groups. Intervals from vital sign measurement to recording and from vital sign measurement to rapid response system activation were recorded. Effects of wireless system implementation for vital sign measurement on the nursing workload were surveyed in 30 nurses. The interval from vital sign measurement to recording was significantly shorter in the wireless group than in the non-wireless group (4.3 ± 2.9 vs. 44.7 ± 14.4 min, P < 0.001). The interval from vital sign measurement to rapid response system activation was also significantly lesser in the wireless group than in the non-wireless group (27.5 ± 12.9 vs. 41.8 ± 19.6 min, P = 0.029). The nursing workload related to vital sign measurement significantly decreased from 3 ± 0.87 to 2.4 ± 9.7 (P = 0.021) with wireless system implementation. Wireless vital sign monitoring significantly reduced the time to rapid response system activation by shortening the time required to measure the vital signs. It also significantly reduced the nursing workload.

Indexed as

Patients' RoomsVital SignsAdultFemaleHumansMaleMiddle AgedMonitoring, PhysiologicWorkloadMonitoring systemRapid response systemVital signWireless systemWorkload

Identifiers

PMID36018468
PMCPMC9418097
OpenAlexW4293230461

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.