Evidence map›Paper›PMID 33606917›Full record

ArticleNursing open2021

Developing an assessment tool for geropsychiatric mental healthcare knowledge and attitude evaluations in clinical practice for nursing students.

Chia-Shan Wu, Mei-Fang Chen, Jiin-Ru Rong, Chieh-Yu Liu

Erratum issuedAbstract read
In one paragraph

Article in Nursing open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.

  1. Article
  2. Article
  3. Effectiveness of a Problem-Based Geropsychiatric Nursing Clinical Internship Program.International journal of environmental research and public health · 2022
    Article
  4. Erratum.Nursing open · 2021
    Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Chia-Shan WuDepartment of Nursing, National Tainan Junior College of Nursing, Tainan City, Taiwan, R.O.C.ORCID 0000-0002-9624-3888
Mei-Fang ChenDepartment of Nursing, National Tainan Junior College of Nursing, Tainan City, Taiwan, R.O.C.
Jiin-Ru RongSchool of Nursing, National Taipei University of Nursing and Health Sciences, Taipei City, Taiwan, R.O.C.ORCID 0000-0001-6456-1550
Chieh-Yu LiuBiostatistical Consultant Lab., Department of Language Pathology and Audiology, National Taipei University of Nursing and Health Sciences, Taipei City, Taiwan, R.O.C.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo develop an instrument to investigate geropsychiatric psychological symptoms, health problem nursing knowledge (GPN-K), geropsychiatric psychological symptoms and health problem nursing attitude scale (GPN-A) in clinical practice for nursing students.

designInstrument development and cross-sectional study for psychometric testing.

methodsConstruct validity was evaluated using confirmatory factor analysis (CFA) and exploratory factor analysis (EFA), and internal consistency was calculated using Cronbach's α.

resultsA total of 300 students have completed the questionnaires (85.71% response rate). The CFA of GPN-K showed good fitness and validity. The Kuder-Richardson 20 (KR-20) value of the internal consistency reliability is 0.64. The GPN-A overall content validity index is 0.95. A three-factor structure was shown by exploratory factor analysis. The three factors are communication and care, helping others improve and problem evaluation tendency. The total variance explained is 59.01%. Cronbach's alpha of GPN-A equals 0.84, which represents good internal consistency.

Indexed as

Mental Health ServicesStudents, NursingCross-Sectional StudiesHumansPsychometricsReproducibility of Resultsattitudegeropsychiatricknowledgenursing student

Identifiers

PMID33606917
PMCPMC8186687

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.