Evidence map›Paper›PMID 36530660›Full record

ArticleFrontiers in public health2022

A cross-sectional study on the response abilities of clinical and preventive medical students in public health emergency.

Yao Yu, Yixuan Qin, Yuxuan Liao, Zijiang Yang, Puqiao Wen, Jianzhen Wu, Pengfei Rong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Yao YuDepartment of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China.
Yixuan QinXiangya School of Public Health, Central South University, Changsha, China.
Yuxuan LiaoXiangya School of Medicine, Central South University, Changsha, China.
Zijiang YangXiangya School of Medicine, Central South University, Changsha, China.
Puqiao WenXiangya School of Medicine, Central South University, Changsha, China.
Jianzhen WuDepartment of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China.
Pengfei RongDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.
Central South University · CNThird Xiangya Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inconsistent training programs for public health emergency (PHE) have been criticized as a contributing factor in PHE's managerial weak points. In response, to analyze the relevant discrepancies among the medical students in the class of 2021 from Xiangya School of Medicine of Central South University, the present study conducted an online questionnaire survey using convenience sampling. The questionnaire comprised four sections, including the basic information, the subjective cognition in PHE, the rescue knowledge and capabilities of PHE, and the mastery of PHE regulations and psychological intervention abilities. To compare the abovementioned aspects, related data were collected from 235 medical students divided into two groups, namely, clinical medical students (Group A) and preventive medical students (Group B). We found a more positive attitude in PHE (

Indexed as

Students, MedicalCross-Sectional StudiesCurriculumHumansPublic HealthSurveys and Questionnairesclinical medical studentseducation reformpreventive medical studentspublic health emergencytraining program

Identifiers

PMID36530660
PMCPMC9751026
OpenAlexW4310491005

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.