Exploring the Influencing Factors of Experienced Nurses' Retention Behaviour: A Qualitative Study Based on the COM‐B Model DOI
Liebin Huang, Ming Liu, Angela Yee Man Leung

et al.

Journal of Advanced Nursing, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 11, 2024

The aim of this study was to explore the factors influencing retention behaviour experienced nurses in China, using capability, opportunity, motivation and (COM-B) model as a conceptual framework.

Language: Английский

Exploring Nurses’ Emotional Resilience and Coping Strategies in Palliative and End-of-Life Care Settings in Saudi Arabia: A Qualitative Study DOI Open Access

Abdulaziz M. Alodhialah,

Ashwaq A. Almutairi, Mohammed Almutairi

et al.

Healthcare, Journal Year: 2024, Volume and Issue: 12(16), P. 1647 - 1647

Published: Aug. 19, 2024

Nurses working in palliative and end-of-life care settings face significant emotional challenges due to the demanding nature of their profession. This study aimed explore resilience these nurses, understanding factors that contribute resilience, impact on professional well-being performance, strategies enhance resilience. A qualitative was conducted involving 15 registered nurses from various healthcare facilities Riyadh, Saudi Arabia. Data were collected through semi-structured interviews, document analysis, observational data. Thematic analysis employed identify recurring themes. The identified three key themes: Emotional Challenges Resilience-Building, Support Systems Resources for Resilience, Professional Growth Fulfillment as Resilience Factors. findings revealed toll patient suffering, highlighting resilience-building strategies, such peer support, mindfulness, reflective practices. systems, including workplace organizational resources, mentorship, crucial fostering growth, a sense purpose, recognition emerged contributing underscores importance settings. Healthcare organizations can by implementing training, providing counseling services, supportive culture, offering development opportunities. Addressing needs is vital delivery compassionate care.

Language: Английский

Citations

5

Structural Equation Model for Intent of Return to Nursing Practice among Inactive Korean Nurses DOI Open Access
Ji-Yeon Yoo

Journal of Korean Academy of Nursing Administration, Journal Year: 2025, Volume and Issue: 31(1), P. 87 - 87

Published: Jan. 1, 2025

Language: Английский

Citations

0

Nurses who return to work in clinical practice require bespoke support and development DOI
David Barrett

Evidence-Based Nursing, Journal Year: 2024, Volume and Issue: unknown, P. ebnurs - 104105

Published: July 20, 2024

Language: Английский

Citations

0

Comparative analysis of personal protective equipment nonadherence detection: computer vision versus human observers DOI
Mary S. Kim,

Beomseok Park,

Genevieve J. Sippel

et al.

Journal of the American Medical Informatics Association, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 14, 2024

Abstract Objectives Human monitoring of personal protective equipment (PPE) adherence among healthcare providers has several limitations, including the need for additional personnel during staff shortages and decreased vigilance prolonged tasks. To address these challenges, we developed an automated computer vision system PPE in settings. We assessed performance against human observers detecting nonadherence a video surveillance experiment. Materials Methods The was trained to detect 15 classes eyewear, masks, gloves, gowns using object detector tracker. assess how performs compared nonadherence, designed experiment under 2 conditions: variations durations (20, 40, 60 seconds) number individuals videos (3 versus 6). Twelve nurses participated as observers. Performance based on detections nonadherence. Results detected fewer instances than (parameter estimate −0.3, 95% CI −0.4 −0.2, P < .001). more longer 0.7, 0.4-1.0, achieved sensitivity 0.86, specificity 1, Matthew’s correlation coefficient 0.82 Discussion An simultaneously tracks multiple objects individuals. is also independent observation duration, improvement over monitoring. Conclusion presents potential solution scalable hospital-wide infection control practices improving usage

Language: Английский

Citations

0

Exploring the Influencing Factors of Experienced Nurses' Retention Behaviour: A Qualitative Study Based on the COM‐B Model DOI
Liebin Huang, Ming Liu, Angela Yee Man Leung

et al.

Journal of Advanced Nursing, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 11, 2024

The aim of this study was to explore the factors influencing retention behaviour experienced nurses in China, using capability, opportunity, motivation and (COM-B) model as a conceptual framework.

Language: Английский

Citations

0