Evidence map›Paper›PMID 39390473›Full record

ArticleBMC medical education2024

Impact of the COVID-19 pandemic on teaching and research activities in obstetrics and gynecology: a national two-stage, stratified, cluster sampling survey in China.

Lei Li, Shuwen Zhang, Junning Fan, Yang Cao, Ting Li, Jinghe Lang, Heping Zhang, Jun Lv, Lan Zhu

Abstract read
In one paragraph

Article in BMC medical education, 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

9 authors.

Lei Li *Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Shuaifuyuan No. 1, Beijing, 100730, Dongcheng District, China.
Shuwen Zhang *Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Shuaifuyuan No. 1, Beijing, 100730, Dongcheng District, China.
Junning FanDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, 100191, China.
Yang CaoDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Shuaifuyuan No. 1, Beijing, 100730, Dongcheng District, China.
Ting LiDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Shuaifuyuan No. 1, Beijing, 100730, Dongcheng District, China.
Jinghe LangDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Shuaifuyuan No. 1, Beijing, 100730, Dongcheng District, China.
Heping ZhangDepartment of Biostatistics, Yale University School of Public Health, New Haven, CT, 06520, USA.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, 100191, China. lvjun@bjmu.edu.cn.
Lan ZhuDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Shuaifuyuan No. 1, Beijing, 100730, Dongcheng District, China. zhulan@pumch.cn.

Funding

China Postdoctoral Science Foundation No. 2022T150066National High Level Hospital Clinical Research Funding No. 2022-PUMCH-A-117, 2022-PUMCH-B-083, 2022-PUMCH-C-010, 2022-PUMCH-C-022 and 2022-PUMCH-D-003
6 · The paper itself

Abstract

backgroundFew studies quantified the influence of the coronavirus disease 2019 (COVID-19) pandemic on medical teaching and scientific research activities in China. This is the first national study to investigate such topics from the viewpoint of physicians practicing obstetrics and gynecology in China.

methodsThis is a national questionnaire survey with online interviews for respondents. This two-stage, stratified, cluster sampling method was applied based on city categories (categories 1 to 3 correspond to < 10,000, 10,000 to 30,000, and > 30,000 beds, respectively), hospital levels (primary, secondary, and tertiary), and hospital types (general and specialized) in China among physicians practicing obstetrics and gynecology. Physicians documented notable alterations in both overall and specialized teaching and research engagements. Comparative analyses were conducted across diverse municipal and hospital attributes.

resultsData were collected from a representative sample of 11,806 physicians from 779 hospitals across 157 cities and 31 provinces. Notably, except for online seminars, a minimum reduction of 20% in both overall and specialized teaching and research activities was observed among physicians. Up to 61.7% (95% confidence interval 59.3-64.0) of physicians reported either a complete termination or a > 50% decline in resident training. Compared with category 1 cities and primary hospitals, category 3 cities and tertiary hospitals experienced greater reductions in items of resident or graduate education, visiting scholar, clinical trials, and laboratory studies (adjusted p values < 0.05), coupled with notable increases in online seminar participation (adjusted p values of 0.002 and < 0.001, respectively).

conclusionsAmidst the COVID-19 pandemic in China, activities requiring direct, face-to-face communication were more affected in resource-rich cities and general hospitals compared to resource-limited areas and specialized hospitals. Residency training experienced the most significant decline. Conversely, participation in online seminars increased, providing additional opportunities for continuing medical education.

Indexed as

COVID-19GynecologyObstetricsPandemicsSARS-CoV-2AdultBiomedical ResearchChinaFemaleHumansMaleSurveys and QuestionnairesCOVID-19 pandemicMainland ChinaObstetrics and gynecologyResearchTeaching

Identifiers

PMID39390473
PMCPMC11468277

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.