Evidence map›Paper›PMID 34002937›Full record

ArticleNursing open2021

Establishment of evidence-based nursing review indicators for airway management of adult critical patients and analysis of obstacle factors.

Yan Yujiao, Ding Juan, Zeng Xurui, Wang Hong

Abstract read
In one paragraph

Article in Nursing open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Yan YujiaoDepartment of Medicine, Yangtze University, Jingzhou, Hubei, China.ORCID 0000-0002-3061-261X
Ding JuanNursing Department, Jingzhou Central Hospital, Jingzhou, Hubei, China.ORCID 0000-0002-7813-4223
Zeng XuruiNeurosurgery Intensive Care Unit, Jingzhou Central Hospital, Jingzhou, Hubei, China.
Wang HongBreast surgery, Jingzhou Central Hospital, Jingzhou, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo select and obtain relevant evidence of airway management in adult critically ill patients at home and abroad, formulate clinical quality review indicators based on evidence and analyse obstacle factors and promoting factors in evidence-based nursing practice. To promote standardized ICU airway management evidence-based nursing practice to provide the basis.

designObstacle factor analysis.

methodsTake the Joanna Briggs Institute (JBI) evidence-based healthcare model as theoretical guidance, establish evidence-based problems, form a team, systematically search for literature, evaluate quality and summarize evidence, establish quality review indicators and review methods, analyse obstacles and facilitating factors based on the review results and formulate corresponding action strategies.

resultsAccording to the 29 best evidences, 21 review indicators were developed. Through the results of clinical quality review, the main barriers to evidence-based practice were analysed: the lack of nurse training and relevant evidence-based knowledge at the practitioner level, the lack of standardized procedures for airway management and the lack of materials at the system level.

conclusionThere is a big gap between airway management evidence and clinical practice in critically ill adult patients. Therefore, improvement measures should be formulated for obstacle factors to promote effective transformation of evidence into clinical practice.

Indexed as

Critical IllnessEvidence-Based NursingAdultAirway ManagementHumansartificial airwaycritically ill patientsevidence-based practicemanagementobstacle analysisreview of nursing quality

Identifiers

PMID34002937
PMCPMC8510741

What OpenQuestion holds

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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.