ArticleNursing open2021
Establishment of evidence-based nursing review indicators for airway management of adult critical patients and analysis of obstacle factors.
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.
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.
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.
Who cites it
7 citing papers in PubMed.
- Facilitating nursing students' skill training in distance education via online game-based learning with the watch-summarize-question approach during the COVID-19 pandemic: A quasi-experimental study.Nurse education today · 2022Trial
- Article
- Mapping Clinical Questions to the Nursing Interventions Classification: An Evidence-Based Needs Assessment in Emergency and Intensive Care Nursing Practice in South Korea.Healthcare (Basel, Switzerland) · 2025Article
- The clinical value of serum sST2 and cfDNA in guiding evidence-based nursing care for children with severe pneumonia complicated by myocardial damage.Journal of medical biochemistry · 2025Article
- Article
- Establishment and obstacle analysis of evidence-based nursing indexes for unplanned hypothermia management in patients undergoing laparoscopic operation.Gland surgery · 2022Article
- Establishment of evidence-based nursing review indicators for airway management of adult critical patients and analysis of obstacle factors.Nursing open · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.