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

BACKGROUND: This study evaluates changes in critical thinking among dental healthcare workers after anti-involution training (AIT) and identifies key predictors of training effectiveness. METHODS: A 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. RESULTS: AIT 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). CONCLUSIONS: AIT effectively enhances critical thinking among dental professionals. Baseline truth-seeking and cognitive maturity are key predictors of training outcomes, informing personalized educational strategies.

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Publication Details

Journal
BMC Medical Education
Published
2026-06-29
DOI
https://doi.org/10.1186/s12909-026-09793-5
Primary Topic
Innovations in Medical Education
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Tingting Cheng, Ziliang Li, H. Yang, Yuehua Chen et al.
BMC Medical Education
Innovations in Medical Education
article

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

Tingting Cheng, Ziliang Li, H. Yang, Yuehua Chen, Li Li, Jianzhong Zhou, Xianqi Rao, X J Yang, Anna Zhao
article en

Abstract

BACKGROUND: This study evaluates changes in critical thinking among dental healthcare workers after anti-involution training (AIT) and identifies key predictors of training effectiveness. METHODS: A 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. RESULTS: AIT 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). CONCLUSIONS: AIT effectively enhances critical thinking among dental professionals. Baseline truth-seeking and cognitive maturity are key predictors of training outcomes, informing personalized educational strategies.

BMC Medical Education
Kunming Medical University (CN), First People's Hospital of Yunnan Province (CN), Yunnan Province Science and Technology Department (CN), Stomatology Hospital (CN), Yunnan Provincial Department of Education (CN), Chuxiong Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Innovations in Medical Education
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