Cognitive appraisals and coping strategies of registered nurses in the emergency department combating COVID-19: A scoping review

Exploring Nurses' Behavioural Intention to Adopt AI Technology: The Perspectives of Social Influence, Perceived Job Stress and Human-Machine Trust

AIM

This study examines how social influence, human-machine trust and perceived job stress affect nurses' behavioural intentions towards AI-assisted care technology adoption from a new perspective and framework. It also explores the interrelationships between different types of social influence and job stress dimensions to fill gaps in academic literature.

DESIGN

A quantitative cross-sectional study.

METHODS

Five hospitals in Taiwan that had implemented AI solutions were selected using purposive sampling. The scales, adapted from relevant literature, were translated into Chinese and modified for context. Questionnaires were distributed to nurses via snowball sampling from May 15 to June 10, 2023. A total of 283 valid questionnaires were analysed using the partial least squares structural equation modelling method.

RESULTS

Conformity, obedience and human-machine trust were positively correlated with behavioural intention, while compliance was negatively correlated. Perceived job stress did not significantly affect behavioural intention. Compliance was positively associated with all three job stress dimensions: job uncertainty, technophobia and time pressure, while obedience was correlated with job uncertainty.

CONCLUSION

Social influence and human-machine trust are critical factors in nurses' intentions to adopt AI technology. The lack of significant effects from perceived stress suggests that nurses' personal resources mitigate potential stress associated with AI implementation. The study reveals the complex dynamics regarding different types of social influence, human-machine trust and job stress in the context of AI adoption in healthcare.

IMPACT

This research extends beyond conventional technology acceptance models by incorporating perspectives on organisational internal stressors and AI-related job stress. It offers insights into the coping mechanisms during the pre-adaption AI process in nursing, highlighting the need for nuanced management approaches. The findings emphasise the importance of considering technological and psychosocial factors in successful AI implementation in healthcare settings.

PATIENT OR PUBLIC CONTRIBUTION

No Patient or Public Contribution.

"I Just Know if I Keep Going, I'll End Up Hating Nursing." Lived Experiences of Emergency Nurses Three Years Into the Global COVID-19 Pandemic

INTRODUCTION

As the coronavirus disease 2019 pandemic continues globally, the personal and professional pressure on health care workers continues to accumulate. Literature suggests that as the pandemic evolves, nurses are experiencing increased levels of anxiety, depression, and post-traumatic stress, ultimately leading them to voice intentions to leave the profession, if they have not done so already.

METHODS

Informed by an interpretive hermeneutic phenomenological approach, this longitudinal study was designed to capture how the lived experiences of 9 emergency nurses evolved over the coronavirus disease 2019 pandemic, highlighting their feelings, attitudes, and perceptions toward working in the emergency department at this time in history. Interviews were undertaken in June 2022 and were analyzed using a thematic analysis approach.

RESULTS

Data analysis resulted in a total of 2 major themes and 8 minor themes. The 2 major themes included "exposed wounds" and "Band-Aid solutions." Levels of burnout increased during the pandemic, with most of the emergency nurse participants dropping their hours, moving roles within the profession, or leaving the profession entirely. Findings elucidate where and how concerns may arise in clinical practice and holistic well-being among emergency nurses, particularly surrounding professional boundaries and protecting work-life balance and professional identity.

DISCUSSION

As the world moves to managing coronavirus disease 2019 as a recognized common respiratory illness, providing time and space for emergency nurses to voice their concerns, design their well-being interventions, set professional boundaries, and reconnect with their professional passion may see lower attrition rates and higher levels of professional satisfaction in emergency nurses globally.

Covid-19 pandemic? Mental health implications among nurses and Proposed interventions

Background

With its abrupt and huge health and socio-economic consequences, the coronavirus disease (COVID-19) pandemic has led to a uniquely demanding, intensely stressful, and even traumatic period. Healthcare workers (HCW), especially nurses, were exposed to mental health challenges during those challenging times.

Objectives

Review the current literature on mental health problems among nurses caring for COVID-19 patients.

Methods

This is a narrative review and critical evaluation of relevant publications.

Results

Nurses experienced higher levels of stress, burnout, anxiety, depression, frustration, stigma, and depersonalization compared to other HCW. Factors that increased this symptomatology included concerns about infection or infection of family members, inadequate staff protective equipment, extended working hours, insufficient information, a reduced sense of security, and post-traumatic stress disorder. The factors that improved the psychopathology included a general positive attitude, job satisfaction, adequate information and education, harmonious group relationships, post-traumatic development, emotional intelligence, psychological counseling, mindfulness-based stress reduction, stable leadership, guidance, and moral and practical administrative support.

Conclusions

Recent studies clearly show that nurses, especially women, are the most vulnerable subgroup among HCW and are particularly prone to mental health impacts during the COVID-19 pandemic. The documented mental health vulnerability of frontline nursing staff during the COVID-19 pandemic requires preventive nursing management actions to increase resilience and to develop relevant defense mechanisms.

"Patient dignity can be ensured by providing adequate health care": A phenomenological analysis on survival strategies of military nurses

Background

The devastating COVID-19 outbreak has considerably influenced basic human healthcare needs. Due to healthcare organizational limitations, workload, and a shortage of healthcare professionals, particularly military nurses in developing countries, faced critical situations in dealing with COVID-19 patients. However, little is known about the survival strategies military nurses used while caring for coronavirus-infected patients.

Aims

This study aimed to investigate the survival strategies that inspired military nurses to manage COVID-19 patients in Bangladesh.

Methods

This study employed the phenomenology of practice framework developed by Max van Manen. Fourteen military nurses were purposefully selected to participate in this study. Semi-structured online interviews were conducted individually from January to February 2023 in three divisional (Dhaka, Chittagong, and Sylhet) COVID-19 dedicated military hospitals in Bangladesh. The study was reported using the COREQ checklist. Audio-video sessions of discussions were recorded, analyzed, and transcribed verbatim. Dataset analysis was performed using thematic analysis.

Results

Eight themes were developed: (i) Nurses' self-strategies; (ii) colleagues' strategies; (iii) Nurse managers' strategies; (iv) Feelings about nursing ethical values; (v) Employers' strategies; (vi) Government strategies; (vii) Family members' strategies; (viii) Strategies of social people.

Conclusions

The study's findings would inspire healthcare professionals to use various survival strategies when facing critical clinical situations. Additionally, this study encourages nurses to develop survival skills to avoid depression, fear, and anxiety and to learn how to deal with work-related stress situations.