Evidence map›Paper›PMID 42477695›Full record

ArticleBMC medical education2026

Construction of a pre-service training program for nursing assistants in China.

Hong Feng, Wei Ding, Xiaoyan Chen, Caoli Wen, Mengqi Li, Fen Hu, Bilong Feng

Abstract read
In one paragraph

Article in BMC medical education, 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
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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

7 authors.

Hong Feng *Nursing Department, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, Wuhan, 430071, China.
Wei Ding *Nursing Department, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, Wuhan, 430071, China.
Xiaoyan ChenNursing Department, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, Wuhan, 430071, China.
Caoli WenNursing Department, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, Wuhan, 430071, China.
Mengqi LiCentre for Health Research Methodology, School of Nursing, Midwifery and Evidence Science, University of Galway, Galway, Ireland.
Fen HuNursing Department, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, Wuhan, 430071, China. hufen@znhospital.cn.
Bilong FengNursing Department, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, Wuhan, 430071, China. ZN000285@whu.edu.cn.ORCID http://orcid.org/0000-0001-8230-526X

Funding

Wuhan University clinical nursing special research LCHL202321
6 · The paper itself

Abstract

backgroundNursing assistants (NAs) are a key occupational group that provide daily living care and nursing support across medical and integrated healthcare settings. NAs have been introduced to alleviate nursing shortages and better meet patients' care needs. In many countries, mandatory pre-employment training programs are tailored to the NAs' role. However, China lacks a standardized pre-service training program, leading to fragmented content and variable training quality. In response to national policy priorities, this study aims to develop a standardized pre-service training program for NAs in China.

methodsA modified Delphi method and the Analytic Hierarchy Process (AHP) were used to establish a competency-based pre-service training program, guided by the Competency Iceberg Model, from June to October 2022. An expert panel (n = 12) from nine tertiary hospitals across eight provinces participated in two rounds of Delphi consultations to reach consensus on program content. Expert agreement was evaluated using consensus levels and Kendall's W coefficient.

resultsThe final training program comprises a three-level framework with three first-level indicators, 25 s-level indicators, and 100 third-level indicators, encompassing both practical care competencies and latent professional competencies. Expert consensus was achieved across all hierarchical indicators. Kendall's W values for the second- and third-level indicators were 0.222 and 0.179, respectively, both of which were statistically significant (p < 0.001). The AHP results assigned the highest priority to skills (0.50), followed by professionalism (0.25) and knowledge (0.25). Within these domains, practical care skills, including mobility care, sputum management, and latent competencies, including emotional management and communication, received the highest priority weightings. These weightings can provide an evidence-informed rationale for prioritising training content, allocating instructional time, and further guiding practical implementation.

conclusionThis study established a structured, competency-based pre-service training program for NAs by integrating expert consensus with quantitative prioritization. The program provides a holistic framework and evidence-informed basis for developing NAs training and standardizing pre-service training in Chinese healthcare settings. Future research should examine its feasibility, effectiveness, and implementation across diverse clinical contexts.

Indexed as

Competency-Based EducationNursing AssistantsChinaClinical CompetenceDelphi TechniqueHumansProgram DevelopmentAnalytic Hierarchy ProcessNursing assistantsTraining program

Identifiers

PMID42477695
PMCPMC13663285

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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.