ESG activity recognition enhances organizational commitment and service-oriented organizational citizenship behavior among insurance call center staff.

Service-oriented organizational citizenship behavior refers to service workers' helping, cooperating, sharing, and donating actions that benefit others at a cost to themselves. Based on ethical climate theory, this research investigates whether corporations adopting environmental, social, and governance (ESG) management enhance service-oriented organizational citizenship behavior (SO OCB) among service employees. A total of 230 surveys were collected from call center workers in the insurance industry, and STATA 14.0 was used to analyze the 204 responses with useable data. The results show that employees' recognized ESG activities enable SO OCB through organizational commitment. Additionally, ESG activity recognition has a positive relationship with self-efficacy and empowerment, which helps service employees regulate external expectations. Thus, this finding is significant for call center workers experiencing emotional labor. Furthermore, the results suggest that firms can contribute to employees' SO OCB by practicing ESG activities. Firms should inform employees of their ESG management efforts as employees' recognition of an ethical climate can enhance their willingness to perform service-oriented behavior. Finally, ESG activity recognition can increase employees' organizational commitment, an important predictor of employee satisfaction and negative turnover rates.

Opportunity to Use Artificial Intelligence in Medicine.

Over the past period different reports related to the artificial intelligence (AI) and machine learning used in everyday life have been growing intensely. However, the AI in our country is still very limited, especially in the field of medicine. The aim of this article is to give some review about AI in medicine and the related fields based on published articles in PubMed and Psych Net. A research showed more than 9 thousand articles available at the mentioned databases. After providing some historical data, different AI applications in different fields of medicine are discussed. Finally, some limitations and ethical implications are discussed.

Impact of policy change on late-term abortion: a two-decade analysis.

OBJECTIVE: Advances in ultrasound and molecular genetics have changed the field of late termination of pregnancy (LTOP), sparking ethical debates worldwide. In 2007, Israel updated its LTOP policies, requiring a 30% or higher probability of severe handicap for approval of LTOP after 24 weeks' gestation. PURPOSE: In this retrospective study, we compared LTOP indications and approval rates before (Group 1: 1998-2007) and after (Group 2: 2008-2021) this policy change. METHODS: Shamir medical records from January 1, 1998 to December 31, 2021 were examined and yielded 4047 abortions, of which 248 were identified as LTOP preformed after 24 weeks' gestation. These cases were then categorized into two groups. Data including maternal age, obstetric history, indications for abortion, diagnosis, week of termination, and genetic/sonographic findings were analyzed. The approval rates and indications pre- and post-policy change were compared. RESULTS: Group 1 (LTOP 1998-2007) comprised 95 cases (10.6%), and Group 2 (LTOP 2008-2021) was composed of 153 cases (4.9%). Fetal structural anomalies remained the dominant indication for both groups (67.4 and 65.3%, respectively), with a slight increase in confirmed genetic anomalies from 26.3% (Group 1) to 28% (Group 2). CONCLUSION: Our findings indicate a decrees in the proportion per year from 10.6 to 4.9% LTOP. Technological advances in genetic evaluation and sonography may have contributed to the early increased detection and decrees in cases reaching LTOP. These results highlight the importance of ongoing ethical reviews and adherence to strict protocols for early detection and termination before 24 weeks' gestation.

Zogala D. Artificial intelligence in medical imaging.

The current era witnesses a highly dynamic development of Artificial Intelligence (AI) applications, impacting various human activities. Medical imaging techniques are no exception. AI can find application in image acquisition, image processing and augmentation, as well as in the actual interpretation of images. Moreover, within the domain of radiomics, AI can be instrumental in advanced analysis surpassing the capacities of the human eye and experience. While several certified commercial solutions are available, the validation and accumulation of sufficient evidence regarding their positive impact on healthcare is currently constrained. The role of AI presently leans towards being assistive, yet further evolution is anticipated. Risks and disadvantages encompass dependency on computational power, the quality of input data, and their annotation for learning purposes. The transparency of algorithmic functioning is lacking, and issues pertaining to portability may arise. The integration and utilization of AI introduce entirely new ethical and legislative aspects. Predicting the future development of AI in imaging methods is challenging, with a further increase in implementation appearing more probable.

The ethics of clinically assisted nutrition and hydration in adults and the role of the advanced clinical practitioner.

Clinically assisted nutrition and hydration (CANH) decision-making in adult patients presents complex ethical dilemmas that require careful consideration and navigation. This clinical review addresses the multifaceted aspects of CANH, emphasising the importance of ethical frameworks and the role of advanced clinical practitioners (ACPs) in guiding decision-making processes. The pivotal role of ACPs is highlighted, from their responsibilities and challenges in decision-making to the collaborative approach they facilitate involving patients, families and multidisciplinary teams. The article also explores ethical principles such as autonomy, beneficence, non-maleficence, and justice, elucidating their application in CANH decision-making. Legal and ethical frameworks covering CANH are examined, alongside case studies illustrating ethical dilemmas and resolutions. Patient-centred approaches to CANH decision-making are discussed, emphasising effective communication and consideration of cultural and religious beliefs. End-of-life considerations and palliative care in CANH are also examined, including the transition to palliative care and ethical considerations in withdrawal or withholding of CANH. Future directions for research and implications for clinical practice are outlined, highlighting the need for ongoing ethical reflection and the integration of ACPs in CANH decision-making.

Leader ethical voice and subordinate job performance: the chain mediating role of subordinate identification with leader and leader-member exchange.

Introduction: Ethical voice is a valuable ethical behavior that enables organizations to promptly recognize and rectify unethical issues and practices, thus preventing severe dilemmas and crises. Despite its importance, the extant literature has yet to fully explore the impact of a leader's ethical voice on subordinate outcomes. This study bridges this gap by integrating social identity theory and social exchange theory to scrutinize the process by which a leader's ethical voice affects subordinate task performance. Methods: We employ a serial mediation model to explore the mechanisms by which a leader's ethical voice enhances subordinates' task performance. Our theoretical framework is empirically validated using a dataset that includes 449 subordinate-leader pairings from Chinese enterprises. Results: The survey results demonstrate that a leader's ethical voice has a significant positive impact on subordinate task performance. Subordinate identification with leader and leader-member exchange not only individually mediate the effects of a leader's ethical voice on subordinate task behavior but also jointly serve as a chain-mediated mechanism in the influence of a leader's ethical voice on subordinate task behavior. Discussion: These findings illuminate the substantial effects that ethical leadership behaviors exert on employee performance and offer fresh perspectives on the intricate dynamics that govern this influence.

Potentials of artificial intelligence in familial hypercholesterolemia: Advances in screening, diagnosis, and risk stratification for early intervention and treatment.

Familial hypercholesterolemia (FH) poses a global health challenge due to high incidence rates and underdiagnosis, leading to increased risks of early-onset atherosclerosis and cardiovascular diseases. Early detection and treatment of FH is critical in reducing the risk of cardiovascular events and improving the long-term outcomes and quality of life for affected individuals and their families. Traditional therapeutic approaches revolve around lipid-lowering interventions, yet challenges persist, particularly in accurate and timely diagnosis. The current diagnostic landscape heavily relies on genetic testing of specific LDL-C metabolism genes, often limited to specialized centers. This constraint has led to the adoption of alternative clinical scores for FH diagnosis. However, the rapid advancements in artificial intelligence (AI) and machine learning (ML) present promising solutions to these diagnostic challenges. This review explores the intricacies of FH, highlighting the challenges that are encountered in the diagnosis and management of the disorder. The revolutionary potential of ML, particularly in large-scale population screening, is highlighted. Applications of ML in FH screening, diagnosis, and risk stratification are discussed, showcasing its ability to outperform traditional criteria. However, challenges and ethical considerations, including algorithmic stability, data quality, privacy, and consent issues, are crucial areas that require attention. The review concludes by emphasizing the significant promise of AI and ML in FH management while underscoring the need for ethical and practical vigilance to ensure responsible and effective integration into healthcare practices.

Ethical dimensions in telemedicine - balancing technology, responsible care, and patient protection.

Telemedicine, defined as the practice of delivering healthcare services remotely using information and communications technologies, raises a plethora of ethical considerations. As telemedicine evolves, its ethical dimensions play an increasingly pivotal role in balancing the benefits of advanced technologies, ensuring responsible healthcare practices within telemedicine environments, and safeguarding patient rights. Healthcare providers, patients, policymakers, and technology developers involved in telemedicine encounter numerous ethical challenges that need to be addressed. Key ethical topics include prioritizing the protection of patient rights and privacy, which entails ensuring equitable access to remote healthcare services and maintaining the doctor-patient relationship in virtual settings. Additional areas of focus encompass data security concerns and the quality of healthcare delivery, underscoring the importance of upholding ethical standards in the digital realm. A critical examination of these ethical dimensions highlights the necessity of establishing binding ethical guidelines and legal regulations. These measures could assist stakeholders in formulating effective strategies and methodologies to navigate the complex telemedicine landscape, ensuring adherence to the highest ethical standards and promoting patient welfare. A balanced approach to telemedicine ethics should integrate the benefits of telemedicine with proactive measures to address emerging ethical challenges and should be grounded in a well-prepared and respected ethical framework.

Navigating challenges and opportunities: Nursing student's views on generative AI in higher education.

AIM: This qualitative study aims to explore the perspectives of nursing students regarding the application and integration of generative Artificial Intelligence (AI) tools in their studies. BACKGROUND: With the increasing prevalence of generative AI tools in academic settings, there is a growing interest in their use among students for learning and assessments. DESIGN: Employing a qualitative descriptive design, this study used semi-structured interviews with nursing students to capture the nuanced insights of the participants. METHODS: Semi-structured interviews were digitally recorded and then transcribed verbatim. The research team reviewed all the data independently and then convened to discuss and reach a consensus on the identified themes. RESULTS: This study was conducted within the discipline of nursing at a regional Australian university. Thirteen nursing students, from both first and second year of the programme, were interviewed as part of this study. Six distinct themes emerged from the data analysis, including the educational impact of AI tools, equitable learning environment, ethical considerations of AI use, technology integration, safe and practical utility and generational differences. CONCLUSIONS: This initial exploration sheds light on the diverse perspectives of nursing students concerning the incorporation of generative AI tools in their education. It underscores the potential for both positive contributions and challenges associated with the integration of generative AI in nursing education and practice.

Examining moral distress and injury resulting from the COVID-19 pandemic: Insights from the Ghanaian radiography workforce.

BACKGROUND: Moral distress has been an issue under consideration in healthcare practice. The COVID-19 pandemic became a critical factor that contributed to heightened moral distress and injury among healthcare professionals, including radiographers. Despite the substantial engagement of radiographers in the management of COVID-19 patients, the consequent moral distress and injury states experienced by this critical frontline workforce have not been widely explored. This study investigated the level of moral distress and the coping mechanisms employed by radiographers in Ghana during the pandemic to provide valuable information to support radiographers and prepare the workforce better against any future pandemics. METHODS: Utilising a cross-sectional design, a survey approach was employed for data collection between June 2023 and August 2023 from clinically-active radiographers who worked before and during the pandemic in Ghana. Both descriptive and inferential statistics were generated using Microsoft Excel 2019 and the Statistical Package for the Social Sciences (v.26). RESULTS: Hundred (100) radiographers participated in the study. The result demonstrated that the COVID-19 pandemic escalated the risk of moral distress among radiographers from 22 % (n = 22) to 43 % (n = 43), with 33 % (n = 33) exhibiting signs of moral injury. This escalation impacted the mental health of 12 % (n = 12) of respondents and was reported as a contributor to career-changing decisions among radiographers. Notably, many of those affected did not seek formal support but relied on personal coping strategies and family support. Inadequate resources (69 %, n = 69), particularly regarding consumables, emerged as the primary cause of moral distress. The study underscored that the most effective means of mitigating moral distress in radiographers was through the provision of resources and additional staff support (66 %, n = 66). CONCLUSION: This study sheds light on the state of moral distress and injury among radiographers during the COVID-19 pandemic, impacting the mental health of a minority and contributing to career-changing decisions. The findings emphasise the importance for healthcare institutions to proactively implement systems, such as resource provision, improved staffing, and emotional support, now and during similar future pandemics. This is crucial to address moral distress and cater to the mental health needs of radiographers, ensuring a resilient clinical radiography workforce.

Treating Mycoplasma genitalium (in pregnancy): a social and reproductive justice concern.

Antimicrobial Resistance is a threat to individual and to population health and to future generations, requiring "collective sacrifices" in order to preserve antibiotic efficacy. 'Who should make the sacrifices?' and 'Who will most likely make them?' are ethical concerns posited as potentially manageable through Antimicrobial Stewardship. Antimicrobial stewardship almost inevitably involves a form of clinical cost-benefit analysis that assesses the possible effects of antibiotics to treat a diagnosed infection in a particular patient. However, this process rarely accounts properly for patients - above and beyond assessments of potential (non)compliance or adherence to care regimes. Drawing on a vignette of a pregnant woman of colour and migrant diagnosed with Mycoplasma genitalium, a sexually transmissible bacterium, this article draws out some of the ethical, speculative, and practical tensions and complexities involved in Antimicrobial Stewardship. We argue that patients also engage in a form of cost-benefit analysis influenced by experiences of reproductive and social (in)justice and comprising speculative variables - to anticipate future possibilities. These processes have the potential to have effects above and beyond the specific infection antimicrobial stewardship was activated to address. We contend that efforts to practice and research antimicrobial stewardship should accommodate and incorporate these variables and acknowledge the structures they emerge with(in), even if their components remain unknown. This would involve recognising that antimicrobial stewardship is intricately connected to other social justice issues such as immigration policy, economic justice, access to appropriate medical care, racism, etc.

The predictive role of resilience and the ethical climate of hospital in the fatigue of surgical technologists working in operating rooms.

BACKGROUND: Fatigue in surgical technologists is of paramount importance and is known as a priority because it can be regarded as a threat to the nurse's health and patient's safety. The fatigue level of healthcare workers can be affected by some factors, while the role of part of these factors is less known. This study aimed to determine the predictive role of resilience and the hospital ethical climate in the fatigue of surgical technologists working in operating rooms (ORs). METHODS: This is a cross-sectional study conducted on 217 surgical technologists working in ORs of hospitals affiliated with Shiraz University of Medical Sciences. Data were collected using Connor-Davidson's Resilience scale, Olson's Hospital Ethical Climate Survey, and the Multidimensional Fatigue Inventory, and then analyzed using Pearson's correlation coefficient and multiple regression analysis. RESULTS: 87.1% and 12.9% of surgical technologists reported low and high fatigue, respectively. All fatigue subscales had significant and negative relationships with resilience (p < 0.05). Moreover, the relationship between fatigue and ethical climate was significant (p = 0.02). The multiple linear regression model showed the predictive role of resilience in fatigue (ß=-0.29, P < 0.001). According to the model, 10% of the change of fatigue was related to resilience and ethical climate. CONCLUSION: The present study demonstrated the relationship between resilience and ethical climate with fatigue. Moreover, resilience was a predictor of the surgical technologists' fatigue, so that their fatigue decreased with increasing resilience. However, future studies are recommended to determine other factors influencing fatigue in surgical technologists.

Managerial ethical principles and behaviours for nurse managers: A Delphi method.

BACKGROUND: Managerial ethical principles and behaviours guide the roles, duties, responsibilities, behaviours, and relationships of nurse managers in healthcare institutions. RESEARCH OBJECTIVES: The aim of this study was to establish the managerial ethical principles and behaviours for nurse managers. RESEARCH QUESTION: What are the managerial ethical principles and behaviours for nurse managers? RESEARCH DESIGN: The Delphi method, one of the qualitative research methods, was used in this study. The Delphi process consisted of two rounds. Data were collected by e-Delphi technique. PARTICIPATIONS: 42 experts were included in the first Delphi round and 39 in the second Delphi round. These experts consisted of nurse managers, academicians studying in the field of ethics and nursing management. ETHICAL CONSIDERATIONS: Participation in the study was voluntary and informed consent of the experts was obtained before the study. Approval was obtained from the ethics committee of the university at which the researcher worked (Approval date: 24.07.2020, Decision No: 2020/12-16). FINDINGS: At the end of the Delphi rounds, eight managerial ethical principles and 29 ethical behaviours of these principles were identified. The distribution of these behaviours and principles were: justice (six behaviours), equality (two behaviours), honesty (two behaviours), fairness (two behaviours), responsibility (eight behaviours), confidentiality (two behaviours), clarity (two behaviours), and humanity (five behaviours). CONCLUSION: These managerial ethical principles and behaviours are intended to guide nurse managers when providing nursing services but should be updated accordingly in line with changing conditions and developments.

The moderating role of ethical awareness in the relationship between nurses' artificial intelligence perceptions, attitudes, and innovative work behavior: a cross-sectional study.

BACKGROUND: Artificial intelligence is rapidly advancing and being integrated into healthcare, potentially revolutionizing patient care and improving outcomes by leveraging large datasets and complex algorithms. AIM: Investigate the moderating role of ethical awareness between nurses' artificial intelligence perceptions, attitudes, and innovative work behaviors. DESIGN AND METHODS: A cross-sectional descriptive correlational design adhering to STROBE guidelines. A non-probability convenience sample of 415 Alexandria Main University Hospital nurses was analyzed. Statistical methods included one-way ANOVA, the student t-test, and the Pearson coefficient, with results evaluated for significance at the 5% level and internal consistency assessed via Cronbach's α. Linear regression assessed the predicting and moderating effect between ethical awareness, nurses' artificial intelligence perceptions, attitudes, and innovative work behavior. The perceptions of using the Artificial Intelligence Scale, general attitudes towards the Artificial Intelligence Scale, ethical awareness of Using Artificial Intelligence, and the Employee Innovative Behavior Scale were used to respond to the research aim. RESULTS: The study revealed that perception of AI use among nurses has a mean score of 50.25 (SD = 3.49), attitudes towards AI have a mean score of 71.40 (SD = 4.98), ethical awareness regarding AI use shows a mean score of 43.85 (SD = 3.39), and nurses innovative behavior exhibits a mean score of 83.63 (SD = 5.22). Attitude and ethical awareness were statistically significant predictors of innovation. Specifically, for every one-unit increase in attitude, innovative work behaviors increase by 1.796 units (p = 0.001), and for every one-unit increase in ethical awareness, innovative work behaviors increase by 2.567 units (p = 0.013). The interaction effects between perception, ethical awareness, attitude, and ethical awareness were also examined. Only the interaction between attitude and ethical awareness was found to be significant (p = 0.002), suggesting that the effect of attitude on innovative work behaviors depends on the level of ethical awareness. In other words, ethical awareness moderates the relationship between attitudes and innovative work behaviors rather than perception and innovation. CONCLUSION: There is a statistically significant correlation between attitude, ethical awareness, and creativity, highlighting that ethical awareness moderates the relationship between attitudes and innovative work behaviors. These findings emphasize the importance of ethical awareness in fostering positive attitudes towards AI and enhancing innovative practices in nursing, ultimately contributing to nurses' well-being.

Beyond surveillance: privacy, ethics, and regulations in face recognition technology.

Facial recognition technology (FRT) has emerged as a powerful tool for public governance and security, but its rapid adoption has also raised significant concerns about privacy, civil liberties, and ethical implications. This paper critically examines the current rules and policies governing FRT, highlighting the tensions between state and corporate interests on one hand, and individual rights and ethical considerations on the other. The study also investigates international legal frameworks aimed at protecting individual rights and privacy, arguing that current legislative measures often fall short of robust scholarly standards and international human rights norms. The paper concludes with recommendations for developing principled and adaptable governance frameworks that harness the benefits of FRT while mitigating its risks and negative impacts, underscoring the importance of placing human rights and ethics at the center of regulating this transformative technology.

From Origins to Trends: A Bibliometric Examination of Ethical Food Consumption.

Ethical food consumption has gained significant attention in the past years, reflecting a societal shift towards ethical behavior. Our study examines the evolution of ethical food consumption research over the past three decades, aiming to map its transformation. We identified key trends, influential contributors, and major thematic clusters through a bibliometric analysis, employing VOSviewer (v.1.6.18) for bibliometric visualization, focusing on citation networks and keyword o-occurrences to reveal the field's structure and dynamics. We made extensive use of the Web of Science database, where we selected 1096 relevant articles and review papers. Our analysis shows a notable rise in publications starting in 2005, with a peak in 2022, indicating increased scholarly interest in the topic. The findings underscore the importance of integrating empathy and human values into ethical food consumption, highlighting the critical roles of animal welfare, sustainability, and social justice. Despite a strong pro-ethical attitude among consumers, a significant "attitude-behavior gap" persists, emphasizing the need for strategies that bridge this divide. Our results emphasize the importance of interdisciplinary efforts to align ethical practices with broader societal goals, offering valuable insights for future research and policy-making to promote sustainable and ethical food consumption worldwide.

Defining Death: Toward a Biological and Ethical Synthesis.

Much of the debate over the definition and criteria for determining our death has focused on disagreement over the correct biological account of death, i.e., what it means for any organism to die. In this paper, we argue that this exclusive focus on the biology of death is misguided, because it ignores ethical and social factors that bear on the acceptability of criteria for determining our death. We propose that attention shift from strictly biological considerations to ethical and social considerations that bear on the determination of what we call "civil death." We argue for acceptance of a neurological criterion for determining death on grounds that it is the most reasonable way to synthesize biological, ethical, and social considerations about our death..

Research with Refugee Populations in North America: Applying the NIH Guiding Principles for Ethical Research.

This article examines the ethics of research design and the initiation of a study (e.g., recruitment of participants) involving refugee participants. We aim to equip investigators and members of IRBs with a set of ethical considerations and pragmatic recommendations to address challenges in refugee-focused research as it is developed and prepared for IRB review. We discuss challenges including how refugees are being defined and identified; their vulnerabilities before, during, and following resettlement that impacts their research participation; recruitment; consent practices including assent and unaccompanied minors; and conflicts of interest. Ethical guidance and regulatory oversight provided by international bodies, federal governments, and IRBs are important for enforcing the protection of participants. We describe the need for additional ethical guidance and awareness, if not special protections for refugee populations as guided by the National Institutes of Health (NIH) Guiding Principles for Ethical Research.

Identification of Ethical Issues and Practice Recommendations Regarding the Use of Robotic Coaching Solutions for Older Adults: Narrative Review.

BACKGROUND: Technological advances in robotics, artificial intelligence, cognitive algorithms, and internet-based coaches have contributed to the development of devices capable of responding to some of the challenges resulting from demographic aging. Numerous studies have explored the use of robotic coaching solutions (RCSs) for supporting healthy behaviors in older adults and have shown their benefits regarding the quality of life and functional independence of older adults at home. However, the use of RCSs by individuals who are potentially vulnerable raises many ethical questions. Establishing an ethical framework to guide the development, use, and evaluation practices regarding RCSs for older adults seems highly pertinent. OBJECTIVE: The objective of this paper was to highlight the ethical issues related to the use of RCSs for health care purposes among older adults and draft recommendations for researchers and health care professionals interested in using RCSs for older adults. METHODS: We conducted a narrative review of the literature to identify publications including an analysis of the ethical dimension and recommendations regarding the use of RCSs for older adults. We used a qualitative analysis methodology inspired by a Health Technology Assessment model. We included all article types such as theoretical papers, research studies, and reviews dealing with ethical issues or recommendations for the implementation of these RCSs in a general population, particularly among older adults, in the health care sector and published after 2011 in either English or French. The review was performed between August and December 2021 using the PubMed, CINAHL, Embase, Scopus, Web of Science, IEEE Explore, SpringerLink, and PsycINFO databases. Selected publications were analyzed using the European Network of Health Technology Assessment Core Model (version 3.0) around 5 ethical topics: benefit-harm balance, autonomy, privacy, justice and equity, and legislation. RESULTS: In the 25 publications analyzed, the most cited ethical concerns were the risk of accidents, lack of reliability, loss of control, risk of deception, risk of social isolation, data confidentiality, and liability in case of safety problems. Recommendations included collecting the opinion of target users, collecting their consent, and training professionals in the use of RCSs. Proper data management, anonymization, and encryption appeared to be essential to protect RCS users' personal data. CONCLUSIONS: Our analysis supports the interest in using RCSs for older adults because of their potential contribution to individuals' quality of life and well-being. This analysis highlights many ethical issues linked to the use of RCSs for health-related goals. Future studies should consider the organizational consequences of the implementation of RCSs and the influence of cultural and socioeconomic specificities of the context of experimentation. We suggest implementing a scalable ethical and regulatory framework to accompany the development and implementation of RCSs for various aspects related to the technology, individual, or legal aspects.