Evidence map›Paper›PMID 37539614›Full record

ArticleActa bio-medica : Atenei Parmensis2023

Translation, validation and psychometric properties of the Albanian version of the Nurses Professional Competence Scale Short form.

Blerina Duka, Alessandro Stievano, Rosario Caruso, Emanuela Prendi, Vlora Ejupi, Florian Spada, Maddalena De Maria, Gennaro Rocco, Ippolito Notarnicola

Abstract read
In one paragraph

Article in Acta bio-medica : Atenei Parmensis, 2023. 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

9 authors.

Blerina DukaUniversity of Rome "Tor Vergata". bleriduka@yahoo.it.
Alessandro StievanoCentre of Excellence for Nursing Scholarship, OPI, Rome, Italy. alessandro.stievano@gmail.com.
Rosario CarusoDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy. Rosario.Caruso@grupposandonato.it.
Emanuela PrendiUniversity of Rome "Tor Vergata". e.prendi@unizkm.al.
Vlora EjupiUniversity Center of Kosovo. vloraejupi83@hotmail.com.
Florian SpadaUniversity of Rome "Tor Vergata". f.spada@unizkm.al.
Maddalena De MariaUniversity of Rome "Tor Vergata". maddalena.demaria@outlook.it.
Gennaro RoccoCentre of Excellence for Nursing Scholarship, OPI, Rome, Italy. genna.rocco@gmail.com.
Ippolito Notarnicolaa:1:{s:5:"en_US";s:45:"Centre of Excellence for Nursing Scholarship ";}. ippo66@live.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimThe primary aim of this study was the translation and psychometric validation of the Albanian Nurse Professional Competence Scale Short Form (A-NPCS-SF) for further application in Albanian healthcare settings.

methodsThe multiphase design used to develop the A-NPCS-SF comprised (1) cultural and linguistic validation, (2) content and face validity, and (3) construct validity.

resultsThe A-NPCS-SF showed adequate content validity. Confirmatory factor analysis supported the six-factor structure of the A-NPCS-SF to explain the data obtained from the nurses.

conclusionsThe A-NPCS-SF showed evidence of validity and reliability in measuring four professional competencies. Having an appropriate scale in Albanian for professional competence self-assessment by nurses constitutes an essential step in measuring these competencies.  (www.actabiomedica.it).

Indexed as

NursesProfessional CompetenceHumansPsychometricsReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID37539614
PMCPMC10440765

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.