Evidence map›Paper›PMID 36890934›Full record

ArticleEthiopian journal of health sciences2023

The Predictors of Clinical Competence among Hospital Nurses: A Cross-Sectional Study in Hamadan, West Iran.

Keivan Babaei, Efat Sadeghian, Masoud Khodaveisi

Abstract read
In one paragraph

Article in Ethiopian journal of health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Keivan BabaeiPh.D Students in Nursing, School of Nursing and Midwifery, Hamadan University of Medical Sciences, Hamadan, Iran.
Efat SadeghianChronic Diseases (Home Care) Research Center, Department of Nursing, Hamadan University of Medical Sciences, Hamadan, Iran.
Masoud KhodaveisiChronic Diseases (Home Care) Research Center, Department of Community Health Nursing, Hamadan University of Medical Sciences, Hamadan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nurses' clinical competence (CC) is critical in providing high-quality and safe nursing care. Assessment of nurses' CC and its predictors is a key step to improve their CC and the quality of their services. The aim of this study was to determine the predictors of CC among hospital nurses in Iran. Methods: This analytical cross-sectional study was conducted from September 2020 to May 2021. Participants were purposively selected from four university hospitals in Hamadan, west of Iran. A demographic questionnaire and the 73-item Nurse Competence Scale were used for data collection. A total of 300 questionnaires were distributed and 270 questionnaires (response rate: 90%) were completed and returned to the researcher. Data were analyzed using the SPSS software (v. 16.0) and the one-way analysis of variance, the independent-sample t, the Mann-Whitney U, and the Kruskal-Wallis tests, the Pearson and the Spearman correlation analyses, and the linear regression analysis. Results: The mean score of CC was 40.28±8.6 (in the possible range of 0-100) and the highest and the lowest dimensional mean scores were for the situation management (56.13±11) and the ensuring quality (25.3±8.1) dimensions, respectively. The mean score of CC had significant relationship with age, work experience, and ward of working and these variables significantly predicted 77% of the variance of CC (adjusted R = 0.778, P<0.05). Conclusions: According to the results of this study, age, work experience and ward of working weresignificant predictors of CC in hospital nurses. Nursing managers should employ strategies such as reducing nurses' workload, improving their employment status, and providing them with quality in-service education in order to improve their CC and the quality of their services.

Indexed as

Clinical CompetenceNursesAttitude of Health PersonnelCross-Sectional StudiesHospitals, UniversityHumansIranSurveys and QuestionnairesCare qualityClinical competenceIranNurse

Identifiers

PMID36890934
PMCPMC9987278

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