Evidence map›Paper›PMID 38773605›Full record

ArticleRadiation oncology (London, England)2024

A survey on brachytherapy training of gynecological cancer focusing on the competence of residents in China.

Mohan Dong, Changhao Liu, Junfang Yan, Yong Zhu, Yutian Yin, Jia Wang, Ying Zhang, Lichun Wei, Lina Zhao

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Mohan Dong *Department of Medical Education, Xijing Hospital, Air Force Medical University, Xi'an, China.
Changhao Liu *Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Junfang YanDepartment of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Yong ZhuDepartment of Radiation Oncology, Baoji Central Hospital, Shaanxi, China.
Yutian YinDepartment of Medical Education, Xijing Hospital, Air Force Medical University, Xi'an, China.
Jia WangDepartment of Radiation Oncology, the Affiliated Hospital of Yan'an University, Yanàn, China.
Ying ZhangDepartment of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi'an, China. zhangy.fmmu@qq.com.
Lichun WeiDepartment of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi'an, China. weilichun@fmmu.edu.cn.
Lina ZhaoDepartment of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi'an, China. zhaolina@fmmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe brachytherapy is an indispensable treatment for gynecological tumors, but the quality and efficiency of brachytherapy training for residents is still unclear.

methodsAn anonymous questionnaire was designed to collect information on gynecological brachytherapy (GBT) training for radiation oncology residents from 28 training bases in China. The questionnaire content was designed based on the principle of competency based medical education (CBME). The Likert scale was employed to evaluate self-reported competence and comprehension regarding GBT. A total of 132 senior residents were included in the final analysis.

results53.79% (71/132) of senior residents had experience in performing image-guided GBT, whereas 76.52% (101/132) had observed the procedure during their standardized residency training. The proportion of senior residents who reported having the self-reported competence to independently complete the GBT was 78.03% for intracavity GBT, 75.00% for vaginal stump GBT, and 50.03% for interstitial GBT, respectively. The number of successful completion of Interstitial, intracavity and vaginal GBT was correlated with the self- confidence of trainees after standardized training. In particular, the independent completion of interstitial GBT for more than 20 cases was an independent factor for the self-reported competence of senior residents. During the training period, 50.76% and 56.82% of the residents had not participated in the specialized examinations and professional GBT courses.

conclusionsThe study revealed that the self-confidence of residents to independently complete brachytherapy was relatively high, and the specialized curriculum setting and training process assessment for brachytherapy training still need to be strengthened in the future.

Indexed as

BrachytherapyClinical CompetenceGenital Neoplasms, FemaleInternship and ResidencyRadiation OncologyChinaHumansSurveys and QuestionnairesBrachytherapy trainingGynecological cancerStandardized training for residentsThe competency-based medical education (CBME)

Identifiers

PMID38773605
PMCPMC11110279

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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.