ArticleJournal of multidisciplinary healthcare2025
Effectiveness of a Four-Stage Death Education Model Based on Constructivist Learning Theory for Trainee Nursing Students.
Article in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effect of death education interventions on death attitudes in medical students: systematic review and meta-analysis.Frontiers in public health · 2025Pooled it
- The impact of death attitudes on death anxiety among nursing interns: a multicenter cross-sectional study.BMC palliative care · 2026Article
- Construction and implementation of a death education program for nursing interns: an action research study.BMC medical education · 2026Article
- A tangible and interactive viral model for enhancing virology education: using hepatitis B virus as a model system.Frontiers in microbiology · 2026Article
- Outcome-based education and student learning in probability and statistics: the mediating roles of engagement and self-efficacy in a new liberal arts context.Frontiers in psychology · 2026Article
- Artificial intelligence readiness and its relationship with thriving at work among Chinese nurses: a latent profile analysis.Frontiers in public health · 2026Article
- Subtypes of digital literacy and their association with innovative behavior among Chinese undergraduate nursing students: a latent profile analysis.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To explore the effectiveness of the four-step death education model based on constructivist learning theory in enhancing the death coping abilities and attitudes of trainee nurses and improving course satisfaction. Methods: Sixty-six trainee nurses from a tumour hospital in Shanxi Province were selected as the study subjects, and a class-experimental research design was adopted, in which the nursing students before the course implementation were taken as the control group and those after the course implementation were taken as the experimental group. Death Attitude Profile Revised Scale (DAP) was used to measure the cognitive attitude of nursing students towards death, and a self-made questionnaire was used to test the satisfaction of nursing students with the curriculum design. Paired sample Results: Post-course death avoidance score, fear of death score, and escape-orientated death acceptance score of the trainee nurses (all Conclusion: The four-step death education model based on constructivist learning theory significantly improved the death coping skills and attitudes of trainee nursing students. Although this educational model is still limited, it provides research materials for the future establishment of a systematic death education.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.