Evidence map›Paper›PMID 36376834›Full record

ArticleBMC nursing2022

Construct and clinical verification of a nurse-led rapid response systems and activation criteria.

Yuchen Wu, Jiaming Wang, Fan Luo, Dan Li, Xue Ran, Xuanlin Ren, Lixiu Zhang, Jingyun Wei

Open access · goldAbstract read
In one paragraph

Article in BMC nursing, 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
0.5field-weighted citation impact, top 32% 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, 4 citations in OpenAlex.

  1. Review
  2. Article
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 4 institutions in 1 country.

Yuchen Wu *Lanzhou University First Affiliated Hospital, Chengguan District, Lanzhou, 730000, Gansu Province, China.
Jiaming Wang *Gansu University of Traditional Chinese Medicine, Lanzhou, 730000, China.
Fan LuoLanzhou University First Affiliated Hospital, Chengguan District, Lanzhou, 730000, Gansu Province, China. 2569869312@qq.com.
Dan LiLanzhou University First Affiliated Hospital, Chengguan District, Lanzhou, 730000, Gansu Province, China.
Xue RanLanzhou University First Affiliated Hospital, Chengguan District, Lanzhou, 730000, Gansu Province, China.
Xuanlin RenGansu University of Traditional Chinese Medicine, Lanzhou, 730000, China.
Lixiu ZhangGansu Provincial Hospital, Lanzhou, 730000, China.
Jingyun WeiGansu Provincial Hospital, Lanzhou, 730000, China.
First Hospital of Lanzhou University · CNGansu Provincial Hospital · CNGansu University of Traditional Chinese Medicine · CNLanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective team leadership and good activation criteria can effectively initiate rapid response system (RRS) to reduce hospital mortality and improve quality of life. The first reaction time of nurses plays an important role in the rescue process. To construct a nurse-led (nurse-led RRS) and activation criteria and then to conduct a pragmatic evaluation of the nurse-led RRS.

methodsWe used literature review and the Delphi method to construct a nurse-led RRS and activation criteria based on the theory of "rapid response system planning." Then, we conducted a quasi-experimental study to verify the nurse-led RRS. The control group patients were admitted from August to October 2020 and performed traditional rescue procedures. The intervention group patients were admitted from August to October 2021 and implemented nurse-led RRS. The primary outcome was success rate of rescue.

settingEmergency department, Gansu Province, China.

resultsThe nurse-led RRS and activation criteria include 4 level 1 indicators, 14 level 2 indicators, and 88 level 3 indicators. There were 203 patients who met the inclusion criteria to verify the nurse-led RRS. The results showed that success rate of rescue in intervention group (86.55%) was significantly higher than that in control group (66.5%), the rate of cardiac arrest in intervention group (33.61%) was significantly lower than that in control group (72.62%), the effective rescue time of intervention group (46.98 ± 12.01 min) was shorter than that of control group (58.67 ± 13.73 min), and the difference was statistically significant (P < 0.05). The rate of unplanned ICU admissions in intervention group (42.85%) was lower than that in control group (44.04%), but the difference was not statistically significant (P > 0.05).

conclusionsThe nurse-led RRS and activation criteria can improve the success rate of rescue, reduce the rate of cardiac arrest, shorten the effective time of rescue, effectively improve the rescue efficiency of patients.

Indexed as

Activation criteriaNurse-ledRapid response systemRapid response teamsSuccess rate of rescue

Identifiers

PMID36376834
PMCPMC9661765
OpenAlexW4309007682

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.