Evidence map›Paper›PMID 37140575›Full record

ArticleTurkish journal of anaesthesiology and reanimation2023

Evaluation of Code Blue Notifications and Their Results: A University Hospital Example.

Songül Bişkin Çetin, Merve Gözde Sezgin, Mustafa Coşkun, Funda Sarı, Neval Boztuğ

Open access · diamondAbstract read
In one paragraph

Article in Turkish journal of anaesthesiology and reanimation, 2023. 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
1.0field-weighted citation impact, top 25% 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, 3 citations in OpenAlex.

  1. Article
  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

5 authors at 2 institutions in 2 countries.

Songül Bişkin ÇetinDepartment of Surgical Nursing, Akdeniz University, Faculty of Nursing, Antalya, Turkey.
Merve Gözde SezginDepartment of Internal Medicine Nursing, Akdeniz University, Faculty of Nursing, Antalya, Turkey.
Mustafa CoşkunASAT General Directorate Information Technology Branch. Manager.
Funda SarıDepartment of Nephrology, Akdeniz University, Faculty of Medicine, Antalya, Turkey.
Neval BoztuğDepartment of Anaesthesiology, Akdeniz University, Faculty of Medicine, Antalya, Turkey.
Akdeniz University · TRDirectorate of Health · IS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCode blue is one of the important practices for preventing mortality and morbidity and increasing the quality of care in hospitals. The aim of this study was to evaluate the blue code notifications and their results, emphasise their importance, and determine the effectiveness and deficiencies of the application.

methodsIn this study, all code blue notification forms recorded between January 1 and December 31, 2019, were examined retrospectively.

resultsIt was determined that code blue calls were made for 108 cases, including 61 females and 47 males, and the mean age of the patients was 56.47 ± 20.73. The accuracy rate of the code blue calls was determined as 42.6%, and 57.4% of them were made during non-working hours. Also, 15.2% of the correct code blue calls were made from dialysis and radiology units. The mean time for the teams to reach the scene was 2.83 ± 1.30 minutes, and the mean time to respond to correctly made code blue calls was 33.97 ± 17.95 minutes. It was found that 15.7% of the patients in correctly made code blue calls were exitus after the intervention.

conclusionEarly diagnosis of cardiac or respiratory arrest cases and quick and correct intervention are very important in achieving patient and employee safety. For this reason, it is necessary to continuously evaluate code blue practices, educate the staff, and organise improvement activities constantly.

Identifiers

PMID37140575
PMCPMC10210833
OpenAlexW4367853926

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.