Evidence map›Paper›PMID 38435298›Full record

ArticleFrontiers in public health2024

The bricolage mode of emergency medical teams in China: deficient and in urgent need of transformation-A qualitative study.

Li Wang, Ya-Wei Sheng, Xin-Ye Qi, Fang-Shi Li, Xin-Yu Qiu, Shen Shao, Yue Du

Abstract read
In one paragraph

Article in Frontiers in public health, 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
  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

7 authors.

Li WangSchool of Public Health, Tianjin Medical University, Tianjin, China.
Ya-Wei ShengSchool of Public Health, Tianjin Medical University, Tianjin, China.
Xin-Ye QiSchool of Public Health, Tianjin Medical University, Tianjin, China.
Fang-Shi LiSchool of Public Health, Tianjin Medical University, Tianjin, China.
Xin-Yu QiuSchool of Public Health, Tianjin Medical University, Tianjin, China.
Shen ShaoSchool of Public Health, Tianjin Medical University, Tianjin, China.
Yue DuSchool of Public Health, Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Emergency medical rescue plays a vital role in alleviating the harm of all kinds of emergencies to people's physical and mental health and life safety. The current emergency medical teams (EMTs) formation model is not unified. We focused on the disadvantages of the bricolage mode of China EMTs and put forward empirical-based countermeasures to improve the emergency management ability of EMTs. Methods: From March to September 2022, 23 leaders of EMTs in North China (Tianjin) were selected by objective sampling method to conduct one-to-half structured in-depth interviews. Nvivo12.0 software was used for three-level coding. The disadvantages of the bricolage model of EMT were analyzed. Results: Based on the three-level coding, 150 initial concepts, 36 sub-coding, 17 main coding, six categories, and two core categories were sorted out. Management structure, internal stability, and support are recognized as the crucial elements armed with the EMTs. Discussion: The bricolage EMTs have disadvantages such as a chaotic management structure, weak internal stability, and inadequate support. It is necessary to construct full-time EMTs that incorporate a standardized personnel admission mechanism, full-time training and exercise mechanism, diversified incentive mechanism, and multi-agent cooperation mechanism, etc.

Indexed as

ExerciseHospitalizationChinaHumansMental HealthQualitative Researchemergency medical teams (EMTs)emergency responsefull-time teamresource bricolagethe grounded theory

Identifiers

PMID38435298
PMCPMC10904540

What OpenQuestion holds

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LicenceCC BY
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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.