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Perception of nursing students on nursing teamwork in hospitals in Slovakia: a cross-sectional study

  • Dominika Kohanová ORCID logo EMAIL logo , Elena Gurková , Radka Kurucová and Katarína Žiaková
Published/Copyright: March 5, 2025

Abstract

Objectives

To investigate how undergraduate nursing students perceive teamwork among nurses during their most recent clinical placement and to identify factors that can affect their teamwork perception.

Methods

The descriptive cross-sectional study was carried out between September 2022 and February 2023 using the Slovak version of the Nursing Teamwork Survey (NTS) tool and included 749 undergraduate nursing students.

Results

The average NTS score was 3.32 (SD=0.43) and significantly associated with academic year, perceived staff adequacy, clinical supervision and learning expectations, hours per week, number of patients per shift, and number of students per shift (p<0.05).

Conclusions

The study underscores the importance of understanding teamwork dynamics from the perspective of undergraduate nursing students.


Corresponding author: Dominika Kohanová, PhD, RN, Department of Nursing, Faculty of Social Sciences and Health Care, Constantine the Philosopher University in Nitra, Kraskova 1, 949 01 Nitra, Slovakia, E-mail:

Award Identifier / Grant number: 040UK-4/2023 Safe Provision of Nursing Care

Acknowledgments

The authors sincerely thank all respondents for their time and valuable contributions to this study. Their insights and participation were essential in advancing our understanding of nursing teamwork in hospitals.

  1. Research ethics: The study was approved by the Ethical Committee of Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava with the ref. no. 44/2022.

  2. Informed consent: Informed consent was obtained from all individuals included in this study.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: The authors confirm that no Large Language Models, AI, or Machine Learning tools were used in the conceptualization, data collection, analysis, or writing of this study. All work was conducted manually by the research team.

  5. Conflict of interest: Authors state no conflict of interest.

  6. Research funding: This work was supported by the Cultural and Educational Grant Agency of the Ministry of Education, Science, Research and Sport of the Slovak Republic [the project of the KEGA project No. 040UK-4/2023 Safe Provision of Nursing Care].

  7. Data availability: The data supporting the findings of this study are available from the corresponding author upon reasonable request.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/ijnes-2024-0031).


Received: 2024-03-27
Accepted: 2025-02-14
Published Online: 2025-03-05

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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