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

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).

CONCLUSION: 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.