Evidence map›Paper›PMID 38831277›Full record

ArticleBMC nursing2024

Experience and training needs of nurses in military hospital on emergency rescue at high altitude: a qualitative meta-synthesis.

Ruixuan Zhao, Shijie Fang, Dongwen Li, Cheng Zhang

Abstract read
In one paragraph

Article in BMC nursing, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
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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.

Ruixuan ZhaoNorth Sichuan Medical University, Nanchong, Sichuan, 637000, China.
Shijie FangNorth Sichuan Medical University, Nanchong, Sichuan, 637000, China.
Dongwen LiGeneral Hospital of Western Theater Command, Chengdu, Sichuan, 610083, China. cdhlb1177@163.com.
Cheng ZhangChengdu Medical College, Chengdu, Sichuan, 610500, China.

Funding

the military medical research project of Military General Hospital of Western 2019ZY08
6 · The paper itself

Abstract

backgroundNurses play an important role in the treatment of war wounds on the plateau, and they face multiple challenges and a variety of needs in their caregiving process. This study aimed to systematically integrate and evaluate qualitative research data to understand the altitude emergency rescue experience and training needs of nurses in military hospitals and provide them with targeted assistance.

methodsWe critically assessed the study using the Joanna Briggs Institute Critical Assessment Checklist for Qualitative Research. Extraction, summarization and meta-synthesis of qualitative data. Cochrane Library, PubMed, Embase, FMRS, CINAHL, PsycINFO, Chinese National Knowledge Infrastructure (CNKI), Wanfang Database (CECDB), VIP Database, and China Biomedical Database (CBM) were searched for relevant studies published from the establishment of the database to May 2023. Additionally, we conducted a manual search of the references of the identified studies. Registered on the PROSPERO database (CRD42024537104).

resultsA total of 17 studies, including 428 participants, were included, and 139 research results were extracted, summarized into 10 new categories, and formed 3 meta-themes. Meta-theme 1: mental state of military nurses during deployment. Meta-theme 2: the experience of military nurses during deployment. Meta-theme 3: training needs for emergency care.

conclusionsEmergency rescue of high-altitude war injuries is a challenging process. Leaders should pay full attention to the feelings and needs of military nurses during the first aid process and provide them with appropriate support.

Indexed as

ExperienceFirst aidHigh altitudeMeta-synthesisMilitary nurseTraining needsWar wound

Identifiers

PMID38831277
PMCPMC11145869

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LicenceCC BY
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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.