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Examining the Construction of Sensory Balance and Well‐Being in Psychiatric Nurses Caring for Trauma Victims: A Qualitative Study

ABSTRACT

Background

Sensory balance is the individual's ability to regulate internal and external sensory stimuli to remain in a functional and balanced state.

Objective

This study aims to explore in depth the experiences of psychiatric nurses caring for trauma victims in building sensory balance and well-being.

Introduction

Psychiatric nurses caring for trauma victims may be constantly exposed to intense sensory stimuli such as yelling and agitation. It is known that post-traumatic stress disorder and burnout are seen in nurses caring for these individuals; however, it is noteworthy that studies on how this process is reflected sensoryly in individuals are limited.

Method

Snowball sampling method was used in this qualitative phenomenological study. In-depth interviews were conducted with 14 volunteer psychiatric nurses caring for trauma victims. Data were collected using a semi-structured interview form and analyzed using Colaizzi's method. COREQ guidelines were adhered to throughout the research process.

Findings

Four categories and a total of eight themes were obtained from the in-depth interviews. “Traces of Traumatic Contact, Emotional Armor and Inner Distance, Transformation through Exhaustion, Institutional Silence and Seeking Solidarity”.

Conclusion

This study shows that psychiatric nurses caring for trauma victims are both professionally and individually traumatized and face the risk of losing their identity. It has also been found that nurses withdraw both sensorially and emotionally and experience burnout. But in some cases this process transforms into the development of awareness and maturity. It was also found that despite adverse working conditions, contact with nature, silence and collegial solidarity played a protective role in rebuilding well-being.

Clinical Relevance

This study addresses in depth the sensory, emotional and identity impacts experienced by psychiatric nurses caring for trauma victims and draws attention to the effects of these conditions on the process of well-being construction. The results of the study provide important points for the development of education, self-care and institutional support mechanisms to support nurses' well-being.

Examining the Anxiety and Preparedness Levels of Nurses and Nurse Candidates for Artificial Intelligence Health Technologies

ABSTRACT

Aims

This study examined the anxiety levels of nurses and nurse candidates regarding humanoid nurse robots and artificial intelligence health technologies in perioperative patient care.

Design

Descriptive and cross-sectional study.

Methods

The research was conducted with 158 intern students and 167 surgical nurses. Socio-demographic characteristics form, Questions Form Regarding Humanoid Nurse Robots and Artificial Intelligence Health Technologies, Artificial Intelligence Anxiety Scale and The Medical Artificial Intelligence Preparedness Scale were used. The independent t-test and one-way analysis of variance (ANOVA) were used. This study complied with Appendix S1.

Results

The total scores on the Artificial Intelligence Anxiety Scale for nurses and nursing students are 73.089 ± 31.667 and 73.624 ± 28.029, respectively. The total scores on the Artificial Intelligence Readiness Scale for nurses and nursing students are 71.736 ± 15.064 and 72.183 ± 13.714, respectively. When comparing the sociodemographic characteristics and scale scores of nurses, a statistically significant difference was found between age and the Artificial Intelligence Anxiety Scale scores (p < 0.05). There was also a statistically significant difference between age, gender and work duration and the Artificial Intelligence Readiness Scale scores for nurses (p < 0.05).

Conclusion

Both groups exhibited moderate levels of anxiety and readiness regarding artificial intelligence. Comprehensive research is needed to elucidate the impact of artificial intelligence technologies on nursing professionals.

Implication for the Profession

The proper use of Artificial Intelligence technologies can enhance the quality of patient care, alleviate the workload, increase patient and staff satisfaction and foster new perspectives on acceptance. With their integration into clinics, a patient-centred care environment will emerge, improving patient safety, outcomes and overall well-being. Thus, the anxieties of nurses and students towards artificial intelligence technologies will decrease, and their readiness will increase.

Patient or Public Contribution

No Patient or Public Contribution.

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