Evidence map›Paper›PMID 38508625›Full record

ArticleBMJ open2024

Development of a tool for assessing the clinical competency of Chinese master's nursing students based on the mini-CEX: a Delphi method study.

Qian Peng, Yan Gao, Na Liu, Xiuni Gan

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Qian PengThe Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yan GaoThe Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID 0000-0002-2138-1485
Na LiuThe Second Affiliated Hospital of Chongqing Medical University, Chongqing, China 300650@cqmu.edu.cn 306012@hospital.cqmu.edu.cn.
Xiuni GanThe Second Affiliated Hospital of Chongqing Medical University, Chongqing, China 300650@cqmu.edu.cn 306012@hospital.cqmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo construct a scientific and systematic competency evaluation tool for master of nursing specialists (MNS) and to provide a reference for the training, assessment and competency evaluation of MNS.

methodsA first draft of the indicators for assessing MNS core competencies was developed on the basis of published research and group discussions. Between June and December 2020, the indicators were revised using two rounds of the Delphi expert consultation method, with questionnaires completed by 16 experts from five provinces in China.

resultsThe valid retrieval rate of the two questionnaires was 100.00%, and the coefficient of expert authority was 0.931. The Kendall's concordance coefficients of the two rounds of questionnaires were 0.136 (p<0.05) and 0.147 (p<0.05), respectively. Consensus was reached on the seven dimensions and 52 items of the MNS competency assessment instrument. The instrument dimensions included nurse‒patient communication (9 items), health assessment (7 items), clinical decision-making (8 items), operational skills (7 items), health promotion (6 items), humanistic care (9 items) and organisational effectiveness (6 items).

conclusionsThe MNS competency assessment tool constructed in this study is focused and highly credible. The findings can be used as a guide for the training, assessment and competence evaluation of MNS in the future.

Indexed as

Clinical CompetenceStudents, NursingDelphi TechniqueHumansReferral and ConsultationSurveys and QuestionnairesClinical CompetenceHealth EducationNursing Care

Identifiers

PMID38508625
PMCPMC10961558

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.