Coping strategies that motivated frontline nurses while caring for the COVID-19 patients during the pandemic: A scoping review.

BACKGROUND: The world faced a great health crisis during the COVID-19 pandemic. Consequently, the health care providers struggled and faced tremendous difficulties in treating high-load critical patients. This was particularly true in low- and middle-income countries where the work and patient loads are always higher and nurses at the forefront must deal with emergencies while being at high risk of exposure. However, little is known about the survival strategies of frontline nurses as dealt with the pandemic. OBJECTIVES: This study catalogued the coping strategies of frontline nurses to deal with caring for the COVID-19 patients during the pandemic. METHODS: The Arksey O'Malley framework was followed to conduct a scoping review. A systematic literature search was conducted using three databases: Google Scholar, Scopus and PubMed; and out of the 192 studies, 12 met the inclusion criteria set for this review study. RESULTS: A total of 44 strategies were identified that motivated nurses to deal with the COVID-19 situation, and these strategies could be categorized into five main themes: nurses' self-strategies, nurses' strategies at the ethical level, employers' strategies, nursing leaders' strategies and supplementary strategies. CONCLUSIONS: The findings of this study will provide guidance for health care workers, employers, policymakers, regulators and other stakeholders to adopt and promote different strategies in managing difficult emergency situations in future. IMPLICATIONS FOR NURSING MANAGEMENT: This study emphasizes the importance of learning how to deal with adversity by health care workers and organizations in an emergency.

Advancing nursing practice with artificial intelligence: Enhancing preparedness for the future.

AIM: This article aimed to explore the role of AI in advancing nursing practice, focusing on its impact on readiness for the future. DESIGN AND METHODS: A position paper, the methodology comprises three key steps. First, a comprehensive literature search using specific keywords in reputable databases was conducted to gather current information on AI in nursing. Second, data extraction and synthesis from selected articles were performed. Finally, a thematic analysis identifies recurring themes to provide insights into AI's impact on future nursing practice. RESULTS: The findings highlight the transformative role of AI in advancing nursing practice and preparing nurses for the future, including enhancing nursing practice with AI, preparing nurses for the future (AI education and training) and associated, ethical considerations and challenges. AI-enabled robotics and telehealth solutions expand the reach of nursing care, improving accessibility of healthcare services and remote monitoring capabilities of patients' health conditions.

"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.

"I Wonder if my Years of Training and Expertise Will be Devalued by Machines": Concerns About the Replacement of Medical Professionals by Artificial Intelligence.

Background: The rapid integration of artificial intelligence (AI) into healthcare has raised concerns among healthcare professionals about the potential displacement of human medical professionals by AI technologies. However, the apprehensions and perspectives of healthcare workers regarding the potential substitution of them with AI are unknown. Objective: This qualitative research aimed to investigate healthcare workers' concerns about artificial intelligence replacing medical professionals. Methods: A descriptive and exploratory research design was employed, drawing upon the Technology Acceptance Model (TAM), Technology Threat Avoidance Theory, and Sociotechnical Systems Theory as theoretical frameworks. Participants were purposively sampled from various healthcare settings, representing a diverse range of roles and backgrounds. Data were collected through individual interviews and focus group discussions, followed by thematic analysis. Results: The analysis revealed seven key themes reflecting healthcare workers' concerns, including job security and economic concerns; trust and acceptance of AI; ethical and moral dilemmas; quality of patient care; workforce role redefinition and training; patient-provider relationships; healthcare policy and regulation. Conclusions: This research underscores the multifaceted concerns of healthcare workers regarding the increasing role of AI in healthcare. Addressing job security, fostering trust, addressing ethical dilemmas, and redefining workforce roles are crucial factors to consider in the successful integration of AI into healthcare. Healthcare policy and regulation must be developed to guide this transformation while maintaining the quality of patient care and preserving patient-provider relationships. The study findings offer insights for policymakers and healthcare institutions to navigate the evolving landscape of AI in healthcare while addressing the concerns of healthcare professionals.

Artificial intelligence in future nursing care: Exploring perspectives of nursing professionals - A descriptive qualitative study.

Background: The healthcare landscape is rapidly evolving, with artificial intelligence (AI) emerging as a transformative force. In this context, understanding the viewpoints of nursing professionals regarding the integration of AI in future nursing care is crucial. Aims: This study aimed to provide insights into the perceptions of nursing professionals regarding the role of AI in shaping the future of healthcare. Methods: A cohort of 23 nursing professionals was recruited between April 7, 2023, and May 4, 2023, for this study. Employing a thematic analysis approach, qualitative data from interviews with nursing professionals were analyzed. Verbatim transcripts underwent rigorous coding, and these codes were organized into themes through constant comparative analysis. The themes were refined and developed through the grouping of related codes, ensuring an authentic representation of participants' viewpoints. Results: After careful data analysis, ten key themes emerged including: (I) Perceptions of AI readiness; (II) Benefits and concerns; (III) Enhanced patient outcomes; (IV) Collaboration and workflow; (V) Human-tech balance: (VI) Training and skill development; (VII) Ethical and legal considerations; (VIII) AI implementation barriers; (IX) Patient-nurse relationships; (X) Future vision and adaptation. Conclusion: This study provides valuable insights into nursing professionals' perspectives on the integration of AI in future nursing care. It highlights their enthusiasm for AI's potential benefits while emphasizing the importance of ethical and compassionate nursing practice. The findings underscore the need for comprehensive training programs to equip nursing professionals with the skills necessary for successful AI integration. Ultimately, this research contributes to the ongoing discourse on the role of AI in nursing, paving the way for a future where innovative technologies complement and enhance the delivery of patient-centered care.

The long-term effects of childhood circumstances on older individuals: A systematic review.

Childhood experiences are known to shape individuals' development and can influence various aspects of life later on. Understanding the long-term effects is crucial for informing interventions and policies aimed at promoting healthy aging. This review aimed to explore the long-term effects of childhood experiences on older individuals. This systematic review comprised three distinct phases. Firstly, a systematic review was conducted, exploring databases such as Google Scholar, PubMed, EMBASE, PsycINFO, and the Web of Science. Out of the 2116 studies initially identified, 24 studies were selected based on the inclusion criteria. Secondly, these inclusion criteria were applied to ensure that the chosen studies specifically delved into the connection between childhood experiences and outcomes in older individuals. Finally, data extraction and synthesis techniques were employed to analyze findings, facilitating the drawing of conclusions concerning the enduring impacts of childhood experiences on the well-being of older individuals. The review's findings revealed how negative experiences in childhood continue to affect older individuals in various ways. These early-life events have far-reaching consequences, profoundly impacting their physical health, making them more susceptible to chronic diseases and weakening their immune system. Additionally, they affect mental health, leading to conditions like depression, anxiety, and substance abuse. Cognitive function is also affected, resulting in memory problems and cognitive decline. Furthermore, these experiences impact social relationships, affecting trust, emotional control, and social isolation in later life. This review highlighted the enduring influence of childhood circumstances on the health and well-being of older individuals. Policymakers and health care practitioners should consider these findings when developing strategies to support healthy aging and mitigate the long-term effects of adverse childhood experiences.

Nurses' perspectives on privacy and ethical concerns regarding artificial intelligence adoption in healthcare.

Background: With the increasing integration of artificial intelligence (AI) technologies into healthcare systems, there is a growing emphasis on privacy and ethical considerations. Nurses, as frontline healthcare professionals, are pivotal in-patient care and offer valuable insights into the ethical implications of AI adoption. Objectives: This study aimed to explore nurses' perspectives on privacy and ethical concerns associated with the implementation of AI in healthcare settings. Methods: We employed Van Manen's hermeneutic phenomenology as the qualitative research approach. Data were collected through purposive sampling from the December 7, 2023 to the January 15, 2024, with interviews conducted in Bengali. Thematic analysis was utilized following member checking and an audit trail. Results: Six themes emerged from the research findings: Ethical dimensions of AI integration, highlighting complexities in incorporating AI ethically; Privacy challenges in healthcare AI, revealing concerns about data security and confidentiality; Balancing innovation and ethical practice, indicating a need to reconcile technological advancements with ethical considerations; Human touch vs. technological progress, underscoring tensions between automation and personalized care; Patient-centered care in the AI era, emphasizing the importance of maintaining focus on patients amidst technological advancements; and Ethical preparedness and education, suggesting a need for enhanced training and education on ethical AI use in healthcare. Conclusions: The findings underscore the importance of addressing privacy and ethical concerns in AI healthcare development. Nurses advocate for patient-centered approaches and collaborate with policymakers and tech developers to ensure responsible AI adoption. Further research is imperative for mitigating ethical challenges and promoting ethical AI in healthcare practice.

Perceptions and attitudes of nurse practitioners toward artificial intelligence adoption in health care.

Background: With the ever-increasing integration of artificial intelligence (AI) into health care, it becomes imperative to gain an in-depth understanding of how health care professionals, specifically nurse practitioners, perceive and approach this transformative technology. Objectives: This study aimed to gain insights into nurse practitioners' perceptions and attitudes toward AI adoption in health care. Methods: This qualitative research employed a descriptive and phenomenological approach using in-depth interviews. Data were collected through a semi-structured questionnaire with 37 nurse practitioners selected through purposive sampling, specifically Maximum Variation Sampling and Expert Sampling techniques, to ensure diversity in characteristics. Trustworthiness of the research was maintained through member checking and peer debriefing. Thematic analysis was employed to uncover recurring themes and patterns in the data. Results: The thematic analysis revealed nine main themes that encapsulated nurse practitioners' perceptions and attitudes toward AI adoption in health care. These included nurse practitioners' perceptions of AI implementation, attitudes toward AI adoption, patient-centered care and AI, quality of health care delivery and AI, ethical and regulatory aspects of AI, education and training needs, collaboration and interdisciplinary relationships, obstacles in integrating AI, and AI and health care policy. While this study found that nurse practitioners held a wide range of perspectives, with many viewings AI as a tool to enhance patient care. Conclusions: This research provides a valuable contribution to the evolving discourse surrounding AI adoption in health care. The findings underscore the necessity for comprehensive education and training in AI, accompanied by clear and robust ethical and regulatory guidelines to ensure the responsible integration of AI in health care practice. Furthermore, fostering collaboration and interdisciplinary relationships is pivotal for the successful incorporation of AI in health care. Policymakers should also address the challenges and opportunities that AI presents in the health care sector. This study enhances the ongoing conversation on AI adoption in health care by shedding light on the perspectives of nurses, thereby shaping future strategies for AI integration.

High temperatures on mental health: Recognizing the association and the need for proactive strategies-A perspective.

Background and Aims: The influence of temperature on various aspects of daily life is often underestimated, and its effects on mental health are not widely recognized. Understanding and addressing the relationship between temperature and mental well-being is crucial in the context of climate change and rising global temperatures. This perspective aimed to investigate the effects of high temperatures on mental health and identify proactive strategies to mitigate these effects. Methods: This perspective adopted a twofold approach, including a comprehensive literature review and socioecological framework. The literature review involved extensive searches across Google Scholar, PubMed, and Scopus to identify relevant, peer-reviewed articles, and reports from diverse disciplines. Results: The perspective emphasized the significance of recognizing heat stress and its consequences on mental well-being. Chronic heat stress can lead to increased stress, anxiety, and cognitive impairment. Vulnerable populations include, the very young, older adults, and individuals with pre-existing mental health conditions. Socioeconomic factors can further exacerbate vulnerability, highlighting the need for tailored strategies to manage mental health challenges during high temperatures. Additionally, the article identified and discussed proactive coping strategies to minimize both the psychological and physical impacts of heat stress. Mindfulness, stress management techniques, and therapy are suggested as effective means for individuals to manage psychological distress. Conclusion: Implementing preventive measures are essential steps in promoting mental wellness in high temperatures. Proactive strategies by addressing the physiological and psychological effects of heat and considering the specific needs of vulnerable populations can help individuals and communities navigate the challenges posed by rising temperatures and promote resilience and preserve their mental well-being.

Addressing antimicrobial resistance in low and middle-income countries: overcoming challenges and implementing effective strategies.

Antimicrobial resistance (AMR) has become a critical worldwide health crisis. It poses major challenges for healthcare systems across the globe, demanding immediate attention and action. Low and middle-income countries (LMICs), in particular, encounter unique obstacles in addressing AMR due to various factors. This article aims to examine specific challenges and propose effective strategies to combat this issue. Through a comprehensive review of existing literature, this article identifies common barriers and successful interventions in tackling AMR. The research highlights several challenges faced by LMICs in addressing AMR, including limited access to quality healthcare services, socioeconomic disparities, limited awareness, inadequate surveillance systems and data collection, limited regulatory frameworks and quality control, as well as weak healthcare infrastructure and infection prevention practices. The research suggests strategies like improving healthcare access, promoting responsible antimicrobial use, enhancing surveillance, ensuring quality antimicrobial drugs, and fostering global collaboration to address these challenges. By understanding the challenges encountered by LMICs, it is possible to mitigate the impact of AMR and contribute to global efforts in combating this growing threat.

Knowledge and Attitude Regarding Human Monkeypox Virus Infection among Nurses: A Cross-Sectional Study.

Introduction: Monkeypox (Mpox) is an infectious illness that can spread to humans through infected humans, animals, or contaminated objects. In 2022, the monkeypox virus spread to over 60 countries, raising significant public health concerns. Nurses play a vital role in patient care and have critical responsibilities in managing infected patients and being aware of the potential impact on the general population. Objective: This study aimed to investigate the knowledge and attitudes (KAs) of Bangladeshi nurses regarding monkeypox infectious disease. Methods: A cross-sectional study was conducted between October 2022 and March 2023 to evaluate the KA of nurses. Semi-structured and self-administered questionnaires were used, distributed via Google Form, and a convenient sampling technique was implemented. The dataset was analyzed using the Chi-square test, multivariable logistic regression, and Pearson correlation coefficient. Results: A total of 1047 datasets were included in the final analysis. Overall, 57.97% of the participants demonstrated good knowledge, and 93.12% of the respondents had a positive attitude towards monkeypox disease. Female nurses exhibited better knowledge (adjusted odds ratio (AOR) 1.36; 95% confidence interval (CI) 0.88-1.98) and a more positive attitude (AOR 1.64; 95% CI 1.12-3.00) than male nurses. Furthermore, a strong correlation was observed between good knowledge of monkeypox disease and a positive attitude (r = 0.76, p < 0.001), while poor knowledge moderately correlated with a negative attitude (r = 0.53, p < 0.001). Conclusions: Given the need for further improvement in KA, we recommend implementing additional training programs to enhance the abilities and motivation of nurses in effectively managing patients affected by monkeypox.

Coping strategies adopted by frontline nurses in dealing with COVID-19 patients in a developing country during the pandemic: A qualitative study.

AIM: This study aimed to explore the coping strategies adopted by frontline nurses in dealing with COVID-19 patients during the pandemic in Bangladesh. DESIGN: A qualitative descriptive study. METHODS: Purposive sampling was used to recruit seventeen frontline nurses from three COVID-19-specific hospitals in Dhaka City. In-depth online interviews and semi-structured questionnaires were used to collect data through the Google Meet platform. Interview sessions audio-video were recorded, interpreted, analysed, verbatim transcribed and quotes of the participants were verified by member checking. Thematic analysis was used in this research. The study's reporting guidelines were based on the consolidated criteria for reporting qualitative research. RESULTS: Seven themes were identified after careful data analysis: (i) A positive attitude in dealing with challenging situation, (ii) Intimate partner's influence, (iii) Self-emotional regulation, (iv) The tendency to avoid negativity, (v) Motivated by professional obligations, (vi) Religious influence, (vii) Recreational activities. NO PATIENT OR PUBLIC CONTRIBUTION: This study explored various coping strategies employed by frontline nurses in caring for COVID-19 patients. No patient or public contribution was investigated.

Combatting workplace violence against nurses in Bangladesh.

This letter aims to respond to Tosepu et al. that workplace violence against nurses increases dramatically in developed and developing countries. This leads to a frustrating and unsustainable work environment. Furthermore, workplace violence has the potential to have long-term physical and psychological implications for all employees and a detrimental effect on the general morale of a healthcare organization. In this letter, we add the evidence of the workplace violence against nurses in Bangladesh, which contributes to increased health job discontent, decreased employee engagement, excessive absenteeism from work, a strong desire to resign, low medical safety ratings, and a high frequency of adverse clinical outcomes. In addition, people who live in hill communities and waterlogged areas do not have access to health care privileges due to workplace violence against nurses. Efforts to combat workplace violence against nurses are therefore very much needed.

Experiences of front-line nurses caring for patients with COVID-19 in Bangladesh: A qualitative study.

Background: As the incidence of COVID-19 is increasing, the Bangladesh government has announced a countrywide shutdown instead of a lockdown. Consequently, front-line healthcare workers, particularly nurses, are confronting more challenging situations at work. Objective: This study aimed to explore front-line nurses' experiences caring for patients with COVID-19 in Dhaka, Bangladesh. Methods: A qualitative descriptive study was conducted among front-line nurses caring for patients with COVID-19. Twenty nurses were purposively chosen from January to March 2021 to participate in semi-structured online interviews. Interviews on audio and video were collected, analyzed, interpreted, transcribed verbatim, and verified by experts. Thematic analysis was used. Results: Nine themes emerged and were grouped into negative and positive experiences. The themes of negative experiences include lack of necessary medical equipment, use of non-standard personal protective equipment, work overload, long working hours, poor working environment, and lack of quality of nursing care. The positive experiences include feeling self in a patient position, nurses' coping strategy in COVID-19 patient care, and establishing emotional control. Conclusion: The study results encourage national and international health care professionals to cope with adverse working environments. Also, the findings provide nurses with techniques for dealing with any critical situation, controlling patients' emotions, and how empathy increases self-confidence and patient care. The research should also be used to enhance government policy, nursing council policy, ministry of health policy, and other healthcare agencies.