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Predictors of human error among intensive care unit nurses: the roles of professional commitment and anxiety

  • Published: 26 March 2026
  • Introduction 

    The intensive care unit (ICU) is a stressful environment where anxiety can increase human errors, affecting patient safety. Professional commitment can improve care quality and reduce such errors. In alignment with SDG 3 (Good Health and Well-being) and SDG 8 (Decent Work and Economic Growth), we explored the relationship between professional commitment, anxiety, and human errors among ICU nurses in two government hospitals in Riyadh and Tabuk, Saudi Arabia.

    Methods 

    This descriptive cross-sectional study was conducted among ICU nurses in two governmental hospitals in Riyadh and Tabuk, Saudi Arabia. Convenience sampling was used. Data were collected using a demographic questionnaire, the Spielberger Trait Anxiety Questionnaire, a professional commitment scale, and a researcher-made questionnaire on human errors in the ICU. Statistical analysis was performed using SPSS software, applying descriptive statistics, the Pearson correlation coefficient, and multiple linear regression.

    Results 

    A significant negative relationship was found between professional commitment and human errors, and a significant positive relationship between anxiety and human errors among ICU nurses (r = −0.148, p = 0.015; r = 0.174, p = 0.006, respectively). A multiple linear regression model containing both predictors was significant [F(2,151) = 9.84, p < 0.001] and explained 11.5% of the variance in human error scores (R² = 0.115).

    Conclusion 

    There is a significant association between professional commitment, anxiety, and human errors among ICU nurses. Reducing anxiety and improving professional commitment can help minimize human errors, improve patient safety, and contribute to the achievement of SDG 3 and SDG 8.

    Citation: Aziza Mohammed Salem, Ahmad Mahmoud Saleh. Predictors of human error among intensive care unit nurses: the roles of professional commitment and anxiety[J]. AIMS Public Health, 2026, 13(2): 395-408. doi: 10.3934/publichealth.2026020

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  • Introduction 

    The intensive care unit (ICU) is a stressful environment where anxiety can increase human errors, affecting patient safety. Professional commitment can improve care quality and reduce such errors. In alignment with SDG 3 (Good Health and Well-being) and SDG 8 (Decent Work and Economic Growth), we explored the relationship between professional commitment, anxiety, and human errors among ICU nurses in two government hospitals in Riyadh and Tabuk, Saudi Arabia.

    Methods 

    This descriptive cross-sectional study was conducted among ICU nurses in two governmental hospitals in Riyadh and Tabuk, Saudi Arabia. Convenience sampling was used. Data were collected using a demographic questionnaire, the Spielberger Trait Anxiety Questionnaire, a professional commitment scale, and a researcher-made questionnaire on human errors in the ICU. Statistical analysis was performed using SPSS software, applying descriptive statistics, the Pearson correlation coefficient, and multiple linear regression.

    Results 

    A significant negative relationship was found between professional commitment and human errors, and a significant positive relationship between anxiety and human errors among ICU nurses (r = −0.148, p = 0.015; r = 0.174, p = 0.006, respectively). A multiple linear regression model containing both predictors was significant [F(2,151) = 9.84, p < 0.001] and explained 11.5% of the variance in human error scores (R² = 0.115).

    Conclusion 

    There is a significant association between professional commitment, anxiety, and human errors among ICU nurses. Reducing anxiety and improving professional commitment can help minimize human errors, improve patient safety, and contribute to the achievement of SDG 3 and SDG 8.



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    Acknowledgments



    The authors extend their appreciation to the Deanship of Scientific Research at Prince Sattam Bin Abdulaziz University for funding this research project number (PSAU/2025/03/35024). The researchers express their gratitude to the University of Tabuk for its support.

    Authors' contributions



    Aziza Mohammed Salem: Conceived and designed the experiments; Performed the experiments; Contributed reagents, materials, analysis tools, or data; Ahmad Mahmoud Saleh: Analyzed and interpreted the data; Ahmad Mahmoud Saleh and Aziza Mohammed Salem: Wrote the paper.

    Data availability



    Data supporting the findings of this study are available from the corresponding author on a reasonable request.

    Conflict of interest



    The authors declare no conflict of interest.

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