Evidence map›Paper›PMID 39263070›Full record

ReviewHeliyon2024

Global trends and hotpots in standardised patients research in the last 30 years: A bibliometric analysis.

Beilei Lin, Yujia Jin, Yunjing Qiu, Jing Chen, Zhiguang Ping, Lanlan Zhang

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

6 authors.

Beilei LinNursing and Health School, Zhengzhou University, No 100 Science Avenue, Zhengzhou City, Henan Province, 450001, China.
Yujia JinNursing and Health School, Zhengzhou University, No 100 Science Avenue, Zhengzhou City, Henan Province, 450001, China.
Yunjing QiuSchool of Nursing & Midwifery, Faculty of Health, University of Technology Sydney, Australia.
Jing ChenNursing and Health School, Zhengzhou University, No 100 Science Avenue, Zhengzhou City, Henan Province, 450001, China.
Zhiguang PingPublic Health School, Zhengzhou University, China.
Lanlan ZhangHangzhou Fuyang Sunshine Geriatric Hospital, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The research trends regarding standardised patients(SPs) in the education of health professions students have not been systematically studied. Methods: All published literature on SPs from January 1994 to January 2024 in Web of Science was screened by two reviewers. Bibliometric analysis and knowledge mapping visualisation analysis were performed using Cite Space software. The country, institution, journal, keyword co-occurrence, and keyword emergence were visualised. Result: A total of 3259 records were analysed. The amount of relevant literature in the past 30 years showed an upward trend involving 109 disciplinary categories, with the United States dominating. The five central research teams were from the United States and Canada. Nursing education is increasingly using SPs, especially in advanced nursing practice. As for the hotspot and trend analysis, the results indicate that there is still continuous attention to the impact of applying standardised patients on improving the communication ability, competence and performance of medical students. Additionally, there is a growing interest in exploring the application of visual simulation or artificial intelligence in standardised patient-related research. Conclusions: Research on SPs' has received continued attention. To cater to the diverse requirements of education and clinical context, there is a need for further exploration of SPs utilisation. AI-relevant SPs might be a new alternative for various scenarios in the future.

Indexed as

Bibliometric analysisMedical educationNursingStandardized patients

Identifiers

PMID39263070
PMCPMC11388791

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.