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.

"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.

"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.

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.

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.