Evidence map›Paper›PMID 37040438›Full record

ReviewNursing open2023

Tests on a scale for measuring the core competencies of paediatric specialist nurses: An exploratory quantitative study.

Qian Tang, Dahua Zhang, Jianjun Chen, Meihua Liu, Yuqiong Xiang, Tingwei Luo, Lihui Zhu

Abstract readReview
In one paragraph

Review in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Qian Tang *Nursing Department, Hunan Cancer Hospital, Changsha, P.R. China.ORCID 0000-0002-6411-7086
Dahua Zhang *Nursing Department, Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, P.R. China.
Jianjun ChenPediatric special committee, Chinese Nursing Association, Beijing, P.R. China.
Meihua LiuNursing Department, Hunan Children's Hospital, Changsha, P.R. China.
Yuqiong XiangSchool of Nursing, Hunan University of Chinese Medicine, Changsha, P.R. China.
Tingwei LuoSchool of Nursing, Hunan University of Chinese Medicine, Changsha, P.R. China.
Lihui ZhuNursing Department, Hunan Cancer Hospital, Changsha, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aimed to develop a tool to measure paediatric specialist nurses' core competencies and examine the scale's validity and reliability.

designAn exploratory quantitative study.

methodsThis study was performed in April 2022 with 302 paediatric specialist nurses in mainland China. Items were created through a literature review, a qualitative interview, and the Delphi method. The data were evaluated using descriptive statistics, independent sample t-test, explanatory factor analysis, Pearson correlation coefficient, Cronbach's alpha coefficient and split-half reliability.

resultsThe final scale consisted of five factors and 32 items. The factors were communication, coordination and judgement abilities; professional technology mastery ability; specialist knowledge mastery ability; medical-related processes; and evidence-based nursing competencies. The explained total variance of the five factors was 62.216%. The scale-level and item-level CVI of this scale was 1.00, and the mean CVR of the total scale was 0.788. The Pearson correlation coefficients of each dimension and the total dimension of the scale was 0.709-0.892, and within each dimension, it was 0.435-0.651. The Cronbach's α of this scale was 0.944, and its split-half reliability was 0.883.

Indexed as

NursesChildChinaHumansPsychometricsReproducibility of ResultsSurveys and Questionnairescore competencepaediatric specialist nursesscale development

Identifiers

PMID37040438
PMCPMC10333849

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.