Evidence map›Paper›PMID 34551737›Full record

ArticleBMC nursing2021

Psychometric properties of a clinical reasoning assessment rubric for nursing education.

JuHee Lee, Chang Gi Park, Sung Hae Kim, Juyeon Bae

Open access · goldAbstract read
In one paragraph

Article in BMC nursing, 2021. 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
1.3field-weighted citation impact, top 21% of its field
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, 12 citations in OpenAlex.

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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

4 authors at 4 institutions in 2 countries.

JuHee LeeMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Yonsei-ro 50, Seodaemun-gu, Seoul, 03722, South Korea.
Chang Gi ParkCollege of Nursing, University of Illinois at Chicago College of Nursing, 845 S. Damen Ave., MC 802, #612, Chicago, IL, 60612-7350, USA.
Sung Hae KimDepartment of Nursing, Tongmyong University, Sinseon-ro 428, Nam-gu, Busan, 48520, South Korea.
Juyeon BaeDepartment of Nursing, Yeoju Institute of Technology, Sejong-ro 338, Yeoju-si, Gyeonggi-do, 12652, South Korea. porester@naver.com.ORCID https://orcid.org/0000-0003-2748-1441
Tongmyong University · KRUniversity of Illinois Chicago · USYeoju University · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical reasoning is a vital competency for healthcare providers. In 2014, a clinical reasoning assessment rubric (CRAR) composed of analysis, heuristics, inference, information processing, logic, cognition and meta-cognition subdomains was developed for osteopathy students.

methodsThis study was conducted to verify the validity and reliability of the CRAR in nursing education. A total of 202 case vignette assessments completed by 68 students were used for exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The Cronbach's α coefficient of the CRAR was calculated.

resultsThe content validity indices ranged from 0.57 to 1.0. The EFA resulted in three factors: assessment in nursing, nursing diagnosis and planning, and cognition/meta-cognition in nursing. The CFA supported a 3-factor model. The Cronbach's α coefficient of the CRAR was 0.94. This study confirmed the content validity, construct validity, and reliability of the CRAR. Therefore, the CRAR is a useful rubric for assessing clinical reasoning in nursing students.

conclusionsThe CRAR is a standardized rubric for assessing clinical reasoning in nurses. This scale will be useful for the development of educational programs for improving clinical reasoning in nursing education.

Indexed as

Clinical reasoningNursing education. ValidityPsychometric evaluationReliabilityRubric

Identifiers

PMID34551737
PMCPMC8456525
OpenAlexW3198949676

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.