Nursing research summary

Developing digital health literacy among nursing interns: A sequential mediation model of preceptor support, self-efficacy, and technology acceptance.

This study found that nursing interns' digital health literacy (DHL) develops through a sequence: preceptor and departmental support boosts their confidence (self-efficacy) and positive attitude towards technology acceptance. This, in turn, leads to more frequent use of clinical information-technology, ultimately resulting in higher DHL scores.

Nurse education today Published 2026 3 min read DOI 10.1016/j.nedt.2026.107130

In brief

This study found that nursing interns' digital health literacy (DHL) develops through a sequence: preceptor and departmental support boosts their confidence (self-efficacy) and positive attitude towards technology acceptance. This, in turn, leads to more frequent use of clinical information-technology, ultimately...

What this article is about

Quick Answer

This study found that nursing interns' digital health literacy (DHL) develops through a sequence: preceptor and departmental support boosts their confidence (self-efficacy) and positive attitude towards technology acceptance. This, in turn, leads to more frequent use of clinical information-technology, ultimately resulting in higher DHL scores.

Student takeaways

Key Takeaways

  • Nursing interns demonstrated a moderate-to-high overall DHL level (60.55 ± 8.87).
  • Privacy protection subscale scored highest among DHL components; skills and application subscale scored lowest.
  • Preceptor and departmental support exerted a strong indirect effect on DHL through digital self-efficacy and technology acceptance.
  • Digital self-efficacy and technology acceptance sequentially promoted clinical information-technology use, leading to higher DHL scores.
  • A clear sequential mediation model was identified for DHL development: Support -> Self-Efficacy/Acceptance -> Technology Use -> Higher DHL.

Student summary

Why This Research Matters

This article, titled 'Developing digital health literacy among nursing interns: A sequential mediation model of preceptor support, self-efficacy, and technology acceptance,' explores a critical aspect of modern nursing education. As healthcare systems become increasingly reliant on digital technologies, it's essential for nursing students to develop strong digital health literacy (DHL). This study aims to understand how DHL is developed among undergraduate nursing interns in China during their clinical training.

The research focuses on the mechanisms that drive the development of DHL within authentic clinical learning environments. The authors hypothesize a sequential mediation model where preceptor and departmental support play a crucial role. They suggest that this support enhances nursing interns' digital self-efficacy (their belief in their ability to use digital technologies) and technology acceptance (their willingness to adopt new technologies). These psychological factors, in turn, promote clinical information-technology use – the actual application of these technologies in practice – ultimately leading to higher DHL scores.

The study employed a nationwide, multi-centre cross-sectional design. Data was collected from 1593 undergraduate nursing interns who had completed at least four months of clinical practice across eleven institutions in China. To assess various constructs like DHL, digital self-efficacy, technology acceptance, and perceived support, the researchers used validated instruments. This means they utilized questionnaires or scales that have been previously tested for reliability and validity.

The findings revealed some interesting insights into the current state of DHL among nursing interns in China. On average, participants demonstrated a moderate-to-high level of DHL (60.55 ± 8.87). However, there were variations across different subscales: privacy protection scored highest, while skills and application scored lowest. This suggests that while students might understand the importance of protecting patient data digitally, they may still be developing their practical abilities to use these technologies effectively in clinical settings.

The structural equation modelling (SEM) analysis was key to understanding the proposed sequential mechanism. SEM is a statistical technique used to test complex relationships between observed and latent variables. The results confirmed that preceptor and departmental support exerted a strong indirect effect on DHL. This means that while direct support might not immediately translate into high DHL, it works through enhancing digital self-efficacy and technology acceptance, which then lead to more frequent and effective use of clinical information-technology.

For nursing students, this study highlights the importance of developing confidence (self-efficacy) in using new technologies. It also underscores that simply providing access to technology isn't enough; a supportive learning environment from preceptors and departments is crucial for fostering DHL. Students should appraise how their own clinical experiences align with these findings – do they feel supported? Do they believe in their ability to use digital tools effectively?

When considering the source, it's important to note that this research comes from 'Nurse education today,' a reputable journal focusing on nursing education and practice. The study is based on data collected across multiple institutions in China, which provides some generalizability for understanding DHL development within similar educational contexts.

A nurse would reason from this evidence by recognizing the critical role of preceptor support and fostering digital self-efficacy in preparing students to be competent with healthcare technologies. This implies that nursing education programs should actively integrate strategies to build student confidence, encourage positive attitudes towards technology acceptance, and ensure robust clinical information-technology use during internships. By doing so, they can better prepare a digitally literate workforce capable of navigating modern healthcare systems safely and effectively.

Source abstract

Study Overview

With the rapid digitalization of healthcare systems, nursing interns must safely and effectively navigate digital health technologies during clinical training. Digital health literacy (DHL) is essential for safe nursing practice, yet the mechanisms driving its development within authentic clinical learning environments remain poorly understood. To assess DHL levels among nursing interns and examine how preceptor and departmental support fosters DHL via digital self-efficacy, technology acceptance, and clinical information-technology use. A nationwide, multi-centre cross-sectional study. Eleven undergraduate nursing institutions across China. A total of 1593 undergraduate nursing interns who had completed at least four months of clinical practice. Validated instruments assessed DHL, digital self-efficacy, technology acceptance, clinical information-technology use, and perceived preceptor and departmental support. Data analysis involved descriptive statistics, correlation analysis, and multiple linear regression. Structural equation modelling (SEM) with bias-corrected bootstrap estimation evaluated the direct and indirect pathways underlying the hypothesized sequential mechanism of DHL development. Participants demonstrated a moderate-to-high DHL level (60.55&#xa0;&#xb1;&#xa0;8.87), with the privacy protection subscale scoring highest and the skills and application subscale scoring lowest. SEM revealed a clear sequential mechanism underlying DHL development. Preceptor and departmental support exerted a strong indirect effect on DHL (total indirect effect&#xa0;=&#xa0;0.185, p&#xa0;<&#xa0;0.001) by enhancing nursing interns' digital self-efficacy and technology acceptance, which sequentially promoted clinical information-technology use, ultimately leading to higher DHL scores. DHL among nursing interns can be conceptualized as a practice-based clinical competence developed through a sequential mechanism involving psychological and behavioral engagement with digital technologies. Integrating educational support and confidence-building strategies into clinical internships is essential, as these factors indirectly foster DHL through enhanced digital self-efficacy, technology acceptance, and clinical information-technology use, preparing a digitally competent nursing workforce capable of navigating modern healthcare systems.

Study type: Journal Article Multicenter Study

Evidence appraisal

Main Findings

  • Nursing interns demonstrated a moderate-to-high overall DHL level (60.55 ± 8.87).
  • Privacy protection subscale scored highest among DHL components; skills and application subscale scored lowest.
  • Preceptor and departmental support exerted a strong indirect effect on DHL through digital self-efficacy and technology acceptance.
  • Digital self-efficacy and technology acceptance sequentially promoted clinical information-technology use, leading to higher DHL scores.
  • A clear sequential mediation model was identified for DHL development: Support -> Self-Efficacy/Acceptance -> Technology Use -> Higher DHL.

Practice transfer

Clinical Relevance

  • Nursing education programs should prioritize creating supportive clinical learning environments that foster preceptor relationships conducive to digital skill development.
  • Interventions aimed at building nursing students' digital self-efficacy are crucial for enhancing their ability to use health technologies effectively and safely.
  • Promoting positive technology acceptance among nursing interns can facilitate the adoption of new clinical information-technology, improving care delivery efficiency and quality.
  • Clinical internships should be structured to provide ample opportunities for hands-on practice with a variety of digital health tools to build proficiency in skills and application.
  • Developing DHL as a core competency requires an integrated approach that combines technical training with psychological support (self-efficacy, acceptance) and practical experience.

Faculty notes

Educational Relevance

This study investigates the development of digital health literacy (DHL) among undergraduate nursing interns in China through a sequential mediation model involving preceptor support, self-efficacy, technology acceptance, and clinical information-technology use. The research is significant as it addresses the growing need for digitally competent nurses within rapidly evolving healthcare systems.

The study employed a nationwide, multi-centre cross-sectional design, collecting data from 1593 nursing interns across eleven institutions in China who had completed at least four months of clinical practice. Validated instruments were used to measure DHL (with subscales including privacy protection and skills/application), digital self-efficacy, technology acceptance, and perceived preceptor/departmental support.

Key findings indicate a moderate-to-high overall DHL level among participants (60.55 ± 8.87). Notably, the privacy protection subscale scored highest, while the skills and application subscale was comparatively lower. This suggests that theoretical understanding of digital ethics may precede practical proficiency in using technologies.

Structural equation modelling revealed a clear sequential mechanism for DHL development: preceptor and departmental support indirectly enhanced DHL by boosting digital self-efficacy and technology acceptance, which subsequently promoted clinical information-technology use, leading to higher DHL scores. The total indirect effect of this pathway was statistically significant (0.185, p < 0.001).

The study's strengths include its large sample size across multiple institutions in China, the use of validated measurement tools, and the rigorous application of SEM to test a complex theoretical model. This provides robust evidence for the proposed sequential mediation process.

From an educational perspective, these findings underscore that fostering DHL is not merely about imparting technical skills but involves creating supportive learning environments (preceptorship) that build student confidence (self-efficacy) and positive attitudes towards technology acceptance. This ultimately translates into more effective use of clinical information-technology. For faculty, this implies the need to actively integrate strategies within clinical internships that enhance these psychological factors. Curriculum design should consider how preceptors can be trained or supported to provide optimal digital guidance, and how educational activities can systematically build self-efficacy for technology use.

Critical appraisal

Limitations

  • The study was conducted exclusively within China; findings may not be generalizable to other cultural or educational contexts without further research.
  • As a cross-sectional design, the study can identify associations but cannot definitively establish causality for all pathways in the proposed model over time.
  • Self-report measures (validated instruments) were used for several constructs like self-efficacy and technology acceptance, which are susceptible to social desirability bias or recall inaccuracies.

Classroom use

Discussion Questions

  • How might cultural differences between China and other countries impact the effectiveness of preceptor support in developing digital health literacy?
  • What specific strategies can nursing schools implement to enhance students' digital self-efficacy beyond just providing access to technology?
  • In what ways could departmental policies or resources be optimized to better support interns in their development of clinical information-technology use skills?
  • How does the finding that privacy protection scores highest, while skills and application are lower, inform curriculum design for DHL training?
  • What potential long-term impacts might arise if nursing programs successfully integrate these findings into their internship structures?
  • Could this sequential model be applied to other areas of professional development in healthcare beyond digital literacy?
  • How can preceptors be effectively trained or supported to provide the kind of support identified as beneficial for DHL development?
  • What are the potential challenges in measuring 'technology acceptance' accurately, and how might these affect study outcomes?
  • Considering the indirect effect found, what other mediating factors (e.g., mentorship quality, specific training modules) could be explored to further enhance DHL?
  • How can healthcare institutions ensure that the digital health literacy developed during internships translates into sustained competence in practice post-graduation?

Knowledge check

Quiz

1. What was the primary objective of this study regarding nursing interns' digital health literacy (DHL)?

  1. To determine if DHL among nursing interns can be conceptualized as a practice-based clinical competence developed through psychological and behavioral engagement with digital technologies.
  2. To assess DHL levels among nursing interns and examine how preceptor and departmental support fosters DHL via digital self-efficacy, technology acceptance, and clinical information-technology use.
  3. To identify the most effective educational interventions for improving DHL in undergraduate nursing students.
  4. To compare DHL scores between different types of healthcare institutions.
Answer: To assess DHL levels among nursing interns and examine how preceptor and departmental support fosters DHL via digital self-efficacy, technology acceptance, and clinical information-technology use.
Rationale: The abstract states the objective was to 'assess DHL levels...and examine how preceptor and departmental support fosters DHL...'.

2. What type of study design was employed in this research?

  1. A nationwide, multi-centre cross-sectional study.
  2. A randomized controlled trial.
  3. A longitudinal cohort study.
  4. A qualitative phenomenological study.
Answer: A nationwide, multi-centre cross-sectional study.
Rationale: The abstract explicitly mentions the study as a 'nationwide, multi-centre cross-sectional study'.

3. How many undergraduate nursing interns participated in this study?

  1. 1593
  2. 2000
  3. 1000
  4. 400
Answer: 1593
Rationale: The abstract states: 'A total of 1593 undergraduate nursing interns who had completed at least four months of clinical practice'.

4. Which statistical method was used to evaluate the direct and indirect pathways underlying the hypothesized sequential mechanism of DHL development?

  1. Structural equation modelling (SEM) with bias-corrected bootstrap estimation.
  2. Multiple linear regression only.
  3. Correlation analysis alone.
  4. Descriptive statistics exclusively.
Answer: Structural equation modelling (SEM) with bias-corrected bootstrap estimation.
Rationale: The abstract specifies that 'Data analysis involved... Structural equation modelling (SEM) with bias-corrected bootstrap estimation evaluated the direct and indirect pathways...'.

5. What was the average DHL score reported in this study, including its standard deviation?

  1. 60.55 ± 8.87
  2. 55.21 ± 9.34
  3. 65.00 ± 7.50
  4. Data not provided
Answer: 60.55 ± 8.87
Rationale: The abstract states: 'Participants demonstrated a moderate-to-high DHL level (60.55±8.87)'.

6. Which subscale of the DHL assessment scored highest among participants?

  1. Privacy protection
  2. Skills and application
  3. Clinical information-technology use
  4. Digital self-efficacy
Answer: Privacy protection
Rationale: The abstract mentions: 'the privacy protection subscale scoring highest'.

7. What was the total indirect effect size of preceptor and departmental support on DHL?

  1. 0.185
  2. 0.250
  3. 0.300
  4. Not reported
Answer: 0.185
Rationale: The abstract states: 'Preceptor and departmental support exerted a strong indirect effect on DHL (total indirect effect= 0.185, p < 0.001)'.

8. What was the significance level of the total indirect effect of preceptor and departmental support on DHL?

  1. p < 0.001
  2. p = 0.05
  3. p > 0.10
  4. Not reported
Answer: p < 0.001
Rationale: The abstract states: 'Preceptor and departmental support exerted a strong indirect effect on DHL (total indirect effect= 0.185, p < 0.001)'.

9. What does the study suggest is essential for fostering DHL in nursing interns?

  1. Integrating educational support and confidence-building strategies into clinical internships.
  2. Increasing the number of available digital health technologies in hospitals.
  3. Reducing the workload of preceptors.
  4. Eliminating all privacy concerns related to digital health systems.
Answer: Integrating educational support and confidence-building strategies into clinical internships.
Rationale: The abstract states: 'Integrating educational support and confidence-building strategies into clinical internships is essential, as these factors indirectly foster DHL...'

10. What was the sequential order of mediators in the model explaining how preceptor/departmental support leads to higher DHL?

  1. Digital self-efficacy → Technology acceptance → Clinical information-technology use.
  2. Technology acceptance → Digital self-efficacy → Clinical information-technology use.
  3. Clinical information-technology use → Digital self-efficacy → Technology acceptance.
  4. Preceptor support → Departmental support → Digital self-efficacy.
Answer: Digital self-efficacy → Technology acceptance → Clinical information-technology use.
Rationale: The abstract describes the mechanism: 'Preceptor and departmental support...by enhancing nursing interns' digital self-efficacy and technology acceptance, which sequentially promoted clinical information-technology use...'

Study cards

Flashcards

What is the title of the study?

Developing digital health literacy among nursing interns: A sequential mediation model of preceptor support, self-efficacy, and technology acceptance.

In which journal was this study published?

Nurse education today

When was the study published?

2026-01-01

What is the DOI for this article?

10.1016/j.nedt.2026.107130

What type of study design was used?

Journal Article Multicenter Study

How many undergraduate nursing interns participated in the nationwide, multi-centre cross-sectional study?

A total of 1593 undergraduate nursing interns.

What is the average DHL score reported for participants, along with its standard deviation?

Participants demonstrated a moderate-to-high DHL level (60.55 ± 8.87).

Which subscale of digital health literacy scored highest among nursing interns in this study?

The privacy protection subscale.

Which subscale of digital health literacy scored lowest among nursing interns in this study?

The skills and application subscale.

What statistical method was used to evaluate the direct and indirect pathways underlying the hypothesized sequential mechanism of DHL development?

Structural equation modelling (SEM) with bias-corrected bootstrap estimation.

According to the SEM results, what is the total indirect effect of preceptor and departmental support on digital health literacy (DHL)?

The total indirect effect = 0.185.

What p-value was associated with the total indirect effect of preceptor and departmental support on DHL?

p < 0.001.

How does preceptor and departmental support primarily influence digital health literacy (DHL) according to the study's findings?

Preceptor and departmental support exerted a strong indirect effect on DHL by enhancing nursing interns' digital self-efficacy and technology acceptance, which sequentially promoted clinical information-technology use.

What is one of the key recommendations for integrating educational strategies into clinical internships based on this study's findings?

Integrating educational support and confidence-building strategies into clinical internships is essential.

How can digital health literacy (DHL) among nursing interns be conceptualized according to the study?

DHL among nursing interns can be conceptualized as a practice-based clinical competence developed through a sequential mechanism involving psychological and behavioral engagement with digital technologies.

What are two factors that indirectly foster DHL, as identified by this study?

Enhanced digital self-efficacy and technology acceptance (indirectly foster DHL).

What is one of the ultimate outcomes leading to higher DHL scores according to the sequential mechanism described in the abstract?

Clinical information-technology use.

What does the study suggest about the importance of preceptor support for nursing interns' digital health literacy?

Preceptor and departmental support play a crucial role in fostering DHL by enhancing self-efficacy, technology acceptance, and clinical IT use.

Which validated instruments were used to assess various aspects like DHL, digital self-efficacy, and preceptor support?

Validated instruments assessed DHL, digital self-efficacy, technology acceptance, clinical information-technology use, and perceived preceptor and departmental support.

What is the primary focus of the study regarding nursing interns in a rapidly digitizing healthcare system?

The study focuses on how nursing interns must safely and effectively navigate digital health technologies during clinical training to develop essential DHL for safe practice.

Search-ready answers

Frequently asked questions

What was the primary focus of this nursing research study?

The primary focus was to assess digital health literacy (DHL) levels among nursing interns and examine how preceptor and departmental support fosters DHL via digital self-efficacy, technology acceptance, and clinical information-technology use.

How many undergraduate nursing institutions participated in this nationwide multi-centre study?

Eleven undergraduate nursing institutions across China participated in the study.

What was the total number of nursing interns included as participants?

A total of 1593 undergraduate nursing interns who had completed at least four months of clinical practice were included as participants.

Which validated instruments were used to assess various aspects related to digital health literacy and support in this study?

Validated instruments assessed DHL, digital self-efficacy, technology acceptance, clinical information-technology use, and perceived preceptor and departmental support.

What statistical methods were employed for data analysis in the study?

Data analysis involved descriptive statistics, correlation analysis, multiple linear regression. Structural equation modelling (SEM) with bias-corrected bootstrap estimation evaluated direct and indirect pathways.

What was the overall level of digital health literacy demonstrated by participants?

Participants demonstrated a moderate-to-high DHL level (60.55 ± 8.87).

Which specific subscale related to digital health literacy scored highest among nursing interns in this study?

The privacy protection subscale scoring highest.

Which specific subscale related to digital health literacy scored lowest among nursing interns in this study?

The skills and application subscale scoring lowest.

What was the total indirect effect of preceptor and departmental support on DHL, as revealed by SEM?

Preceptor and departmental support exerted a strong indirect effect on DHL (total indirect effect = 0.185).

How does this study conceptualize digital health literacy among nursing interns?

DHL among nursing interns can be conceptualized as a practice-based clinical competence developed through a sequential mechanism involving psychological and behavioral engagement with digital technologies.