Evidence map›Paper›PMID 37131172›Full record

ArticleBMC medical education2023

Style and influencing factors of tutors-postgraduates' interactions in Chinese medical colleges: a cross-sectional survey in Heilongjiang Province.

Mingsi Wang, Yanping Wang, Ming Fang, Shue Zhang, Yilan Li, Depin Cao, Yan Jin

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2023. 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
1.2field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  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

7 authors at 2 institutions in 1 country.

Mingsi Wang *Graduate School of Harbin Medical University, 157# Bao Jian Road, Harbin, 150081, China.
Yanping Wang *Department of Health Management, School of Health Management, Harbin Medical University, 157# Bao Jian Road, Harbin, 150081, China.
Ming Fang *Graduate School of Harbin Medical University, 157# Bao Jian Road, Harbin, 150081, China.
Shue ZhangDepartment of Health Management, School of Health Management, Harbin Medical University, 157# Bao Jian Road, Harbin, 150081, China.
Yilan LiDepartment of Cardiology, the Second Affiliated Hospital of Harbin Medical University, 148# Bao Jian Road, Harbin, 150000, China.
Depin CaoDepartment of Health Management, School of Health Management, Harbin Medical University, 157# Bao Jian Road, Harbin, 150081, China. caodp211@126.com.
Yan JinGraduate School of Harbin Medical University, 157# Bao Jian Road, Harbin, 150081, China. jinyan@hrbmu.edu.cn.
Harbin Medical University · CNSecond Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study assesses the style of tutor-postgraduate interactions in Chinese medical colleges and explores the association between postgraduates' demographic factors and tutors' demographic characteristics.

methodsWith the stratified sampling method, a cross-sectional online survey was used. A total of 813 medical postgraduates were recruited as participants, with an effective response rate of 85.49%. The two dimensions of "Professional Ability Interaction" and "Comprehensive Cultivation Interaction" in the self-developed "Instructor-Graduate Interaction Scale for Medical Colleges" were used as dependent variables. And tutors' demographic characteristics and postgraduates' demographic characteristics were taken as independent variables. Logistic regression analysis was used to explore the influencing factors of Tutor-Postgraduates Interactions in medical colleges.

resultsThe Tutor-Postgraduates Interaction scale consists of 14 items from the two dimensions of "Professional Ability Interaction" and "Comprehensive Cultivation Interaction". The results of the logistic regression analysis show the reasons for selecting the mentor students (industry recognition, the tutor's research direction, charm in attracting mentors, and recommendations for mentor selection); student to mentor satisfaction; student to study life satisfaction; and regular academic seminars. Indirect guidance and a high postgraduate grade high are the protective factors of interaction between tutors and postgraduates of medical colleges and universities postgraduates. Older mentors and more graduate tutors are the risk factors for Tutor-Postgraduates Interaction in medical colleges (P < 0.05).

conclusionThe current study proposes that managers should pay more attention to the double-track promotion of "Professional Ability Interaction" and "Comprehensive Cultivation Interaction". We should not only pay attention to the cultivation of postgraduates' professional ability but also pay more attention to the comprehensive cultivation including postgraduates' mental and psychological aspects. The interaction between tutors and postgraduates in medical colleges is generally good, but much attention should be given to the dual-track promotion mentioned above. Regular academic seminars play an important role in the process of postgraduate training. The research findings, including the influencing factors regarding tutor-postgraduate interactions, the Professional Ability Interaction and Comprehensive Cultivation Interaction, are very informative and can contribute to strategies for postgraduate management systems that enhance this relationship.

Indexed as

Educational PersonnelStudents, MedicalChinaCross-Sectional StudiesHumansMentorsAnalysisInfluencing FactorsLogistic RegressionMedical CollegePostgraduate EducationTutor-Postgraduate Interaction

Identifiers

PMID37131172
PMCPMC10152608
OpenAlexW4367834592

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.