Evidence map›Paper›PMID 39169993›Full record

ArticleSAGE open nursing

Learning Outcomes of Nursing Students' Experience With Cadaveric Dissection: A Scoping Review.

Miwa Horiuchi-Hirose, Tomoko Fukuoka, Shinji Saito

Abstract readScoping Review
In one paragraph

Article in SAGE open nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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

3 authors.

Miwa Horiuchi-HiroseDepartment of Health and Nutrition, Tokiwa University, Mito, Ibaraki, Japan.ORCID https://orcid.org/0009-0004-6753-6595
Tomoko FukuokaDepartment of Nursing, Tokiwa University, Mito, Ibaraki, Japan.
Shinji SaitoDepartment of Health and Nutrition, Tokiwa University, Mito, Ibaraki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cadaver dissection in anatomy, a cornerstone of medical school education, has been replaced by digital technologies. This study aimed to determine the learning outcomes nursing students could achieve through cadaveric dissection practice (CDP). Methods: This scoping review was carried out using the checklist outlined in the Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews through August 2023. Articles from PubMed, ERIC, and CINAL were included. This scoping review included studies that focused on the learning effects of nursing students' experiences with cadaver dissection, written in English, and covered all study types. Results: The cadaveric dissection exercise resulted in a strong interest in the human body and a thorough understanding of anatomy and physiology. It also allows for creating an image of care for the patient before death, the meaning of existence after death, acceptance that death is not frightening, and an understanding of the afterlife. Furthermore, the cadaveric dissection exercise has been reported to improve confidence in patient care, lead to a better understanding of what other professions practice, and involve the development of professional identity. Conclusions: Studies on the learning effects of CDP have differed in subject matter and educational methodologies. In the future, while determining how the experience of CDP is related to nursing practice of nursing students and graduates, we must explore effective CDP and develop educational methodologies that can achieve similar learning effects.

Indexed as

cadavergross anatomynursing student

Identifiers

PMID39169993
PMCPMC11337174

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.