Evidence map›Paper›PMID 42427367›Full record

ArticleFrontiers in psychology2026

Digital literacy and creative teaching behavior among nursing educators: the chain mediating roles of self-efficacy and digital stress.

Wu Chong-Wen, Song Jin, Shasha Li, Zou Xiaoyue, Qu Baifeng, Wang Rui

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Wu Chong-WenDepartment of Medical, HuZhou University, Huzhou, Zhejiang, China.
Song JinIntensive Care Unit, The First People's Hospital of Huzhou, Huzhou, Zhejiang, China.
Shasha LiDepartment of Medical, HuZhou University, Huzhou, Zhejiang, China.
Zou XiaoyueIntensive Care Unit, The First People's Hospital of Huzhou, Huzhou, Zhejiang, China.
Qu BaifengQuality Control Office, Heilongjiang Provincial Hospital, Harbin, Heilongjiang, China.
Wang RuiDepartment of Nursing, Huzhou College, Huzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rapid digital transformation of nursing education has placed increasing demands on nurse educators, yet the psychological mechanisms linking digital literacy to creative teaching behavior remain poorly understood. Objectives: This study aimed to examine the chain mediating roles of self-efficacy and digital stress in the relationship between digital literacy and creative teaching behavior among nursing educators. Methods: A cross-sectional survey design was employed. Data were collected from 456 nursing educators recruited from six nursing colleges and universities in China. Participants completed validated self-report measures of digital literacy, self-efficacy, digital stress, and creative teaching behavior. Descriptive statistics, Pearson correlation analysis, and chain mediation analysis using the PROCESS macro (Model 6) with bootstrapping were conducted Results: Digital literacy was positively correlated with self-efficacy and creative teaching behavior, and negatively correlated with digital stress (all Conclusions: Self-efficacy and digital stress sequentially mediate the relationship between digital literacy and creative teaching behavior among nursing educators. Interventions targeting these psychological mechanisms may help promote creative teaching in the digital era.

Indexed as

chain mediationcreative teaching behaviordigital literacydigital stressnursing educatorsself-efficacy

Identifiers

PMID42427367
PMCPMC13345868

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.