Evidence map›Paper›PMID 42374414›Full record

ArticleBMC medical education2026

The influence of anti-involution training on the critical thinking of young healthcare professionals in dental outpatient clinics: a pre-post quasi-experimental study.

Yuxiang Chen, Anna Zhao, Haoran Yang, Xia Yang, Tingting Cheng, Xianqi Rao, Jianzhong Zhou, Lin Li, Ziliang Li

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Article in BMC medical education, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yuxiang ChenAffiliated Stomatology Hospital of Kunming Medical University, Kunming, Yunnan, China.
Anna ZhaoAffiliated Stomatology Hospital of Kunming Medical University, Kunming, Yunnan, China.
Haoran YangAffiliated Stomatology Hospital of Kunming Medical University, Kunming, Yunnan, China.
Xia YangAffiliated Stomatology Hospital of Kunming Medical University, Kunming, Yunnan, China.
Tingting ChengAffiliated Stomatology Hospital of Kunming Medical University, Kunming, Yunnan, China.
Xianqi RaoAffiliated Stomatology Hospital of Kunming Medical University, Kunming, Yunnan, China.
Jianzhong ZhouChuxiong Medical College, Chuxiong, Yunnan, China.
Lin LiAffiliated Stomatology Hospital of Kunming Medical University, Kunming, Yunnan, China.
Ziliang LiAffiliated Stomatology Hospital of Kunming Medical University, Kunming, Yunnan, China. 1752114604@qq.com.

Funding

National Natural Science Foundation of China 82360185The Kunming Medical University education reform Project 2024-JY-Z-19
6 · The paper itself

Abstract

backgroundThis study evaluates changes in critical thinking among dental healthcare workers after anti-involution training (AIT) and identifies key predictors of training effectiveness.

methodsA pre-post quasi-experimental design was conducted with 91 participants. Critical thinking was assessed using the CTDI-CV scale. Spearman correlation, multiple linear regression, and LASSO regression were employed to identify predictors, with machine learning models (Random Forest) used for nonlinear exploration and validation.

resultsAIT significantly improved critical thinking disposition, with a mean total score increase of 11.813 ± 6.752 (P = 0.001). Cognitive maturity showed the greatest improvement (3.978 ± 6.645, P = 0.004). Multiple linear regression revealed that truth-seeking (β=-1.738, P = 0.019) negatively predicted improvement, while cognitive maturity (β = 1.467, P = 0.016) positively predicted improvement. Random Forest validated these findings (AUC = 0.889).

conclusionsAIT effectively enhances critical thinking among dental professionals. Baseline truth-seeking and cognitive maturity are key predictors of training outcomes, informing personalized educational strategies.

Indexed as

ThinkingAdultAmbulatory Care FacilitiesFemaleHumansMaleAnti-involution trainingCritical thinkingMachine learningMultiple linear regression

Identifiers

PMID42374414
PMCPMC13576120

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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.