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Innovation capability characteristics among nursing undergraduates: a latent profile analysis.

Created on 30 Jun 2026

Authors

Xi Wang, Zihan Liu, Rong Zhang, Jinxiu Liu, Hong Ye, Song Wang

Published in

BMC medical education. Jun 30, 2026. Epub Jun 30, 2026.

Abstract

Innovation capability is a core competency for nursing college students to adapt to the development of modern nursing and meet clinical demands. This study applied innovation ecosystem theory and aimed to identify the latent profile types of nursing college students' innovation capability and their associated factors, to provide a basis for formulating targeted training strategies.
A cross-sectional survey was conducted among 1,086 nursing college students using a self-designed "Questionnaire on Innovation Capability of Nursing College Students" with good reliability and validity. Latent profile analysis (LPA) was used to classify the innovation capability types.
The innovation capability of nursing college students was divided into four latent profile types: Low Innovation Capability Type (22.65%), Low-Medium Innovation Capability Type (32.97%), Medium-High Innovation Capability Type (29.93%) and High Innovation Capability Type (14.46%), showing a distribution characteristic of "larger in the middle and smaller at both ends". Multiple linear regression analysis showed that weekly self-directed learning time for innovation knowledge (β'=0.298), number of innovation competition participations (β'=0.234), clinical internship experience (β'=0.189) and age (analyzed as a continuous variable, β'=0.123) were significant positive predictors of innovation capability (all P < 0.001). The total score of innovation capability of nursing college students was 67.64 ± 8.36, with the lowest average score in the Innovation Environment dimension (2.58 ± 0.52) and the highest in the Innovation Motivation dimension (2.92 ± 0.50).
Nursing college students' innovation capability presents obvious heterogeneous characteristics with four distinct profile types. Weekly self-directed learning time for innovation knowledge, participation in innovation competitions, clinical internship experience and age were identified as key factors associated with higher innovation capability. These findings suggest that targeted training strategies such as differentiated cultivation, strengthening clinical innovation training, improving self-directed learning ability and optimizing innovation incentive mechanisms may help enhance nursing college students' innovation capability. Longitudinal and interventional studies are warranted to confirm these effects.

PMID:
42374350
Bibliographic data and abstract were imported from PubMed on 30 Jun 2026.

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