Evidence map›Paper›PMID 37128481›Full record

ArticleInternational journal of nursing sciences2023

Development and psychometric testing of a competency of nursing process questionnaire.

Virya Koy, Jintana Yunibhand, Andrew Rauth, Nicholas Bircher, Manila Prak, Richard Henker

Abstract read
In one paragraph

Article in International journal of nursing sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

6 authors.

Virya KoyFaculty of Nursing, Chulalongkorn University, Bangkok, Thailand.
Jintana YunibhandFaculty of Nursing, Chulalongkorn University, Bangkok, Thailand.
Andrew RauthSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.
Nicholas BircherSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.
Manila PrakCambodian Association of Nurses, Phnom Penh, Cambodia.
Richard HenkerSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to develop and evaluate a competency of nursing process questionnaire (CNPQ) for registered nurses in Cambodia. Methods: Guided by the nursing process, an initial questionnaire was generated through focus group discussion, literature review, and the expert consultation. Finally, the validity and reliability of the questionnaire were validated through a questionnaire survey online of 260 registered nurses selected from Complimentary Package Activities 1, 2, 3, and national hospitals from January to February 2022 in five geographic areas of Cambodia. Results: The content validity index was 1.00. The Cronbach's α coefficient for the whole questionnaire was 0.963, and the range for the five dimensions was 0.963-0.964, which shows that the questions were consistent. The test-retest reliability was 0.769. The exploratory factor analysis led to a list of 24 items that were grouped into five dimensions: assessment, diagnosis, planning, implementation, and evaluation. The cumulative variance contribution rate was 70.08%. Conclusions: The CNPQ developed in this study showed good reliability and validity and can be used to assess the competency of registered nurses by themselves and help nursing managers to develop the relevant policies.

Indexed as

CambodiaCompetencyDevelopmentNursing processPsychometric testing

Identifiers

PMID37128481
PMCPMC10148250

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.