Principles of digital professionalism for the metaverse in healthcare.

BACKGROUND: Experts are currently investigating the potential applications of the metaverse in healthcare. The metaverse, a groundbreaking concept that arose in the early 21st century through the fusion of virtual reality and augmented reality technologies, holds promise for transforming healthcare delivery. Alongside its implementation, the issue of digital professionalism in healthcare must be addressed. Digital professionalism refers to the knowledge and skills required by healthcare specialists to navigate digital technologies effectively and ethically. This study aims to identify the core principles of digital professionalism for the use of metaverse in healthcare. METHOD: This study utilized a qualitative design and collected data through semi-structured online interviews with 20 medical information and health informatics specialists from various countries (USA, UK, Sweden, Netherlands, Poland, Romania, Italy, Iran). Data analysis was conducted using the open coding method, wherein concepts (codes) related to the themes of digital professionalism for the metaverse in healthcare were assigned to the data. The analysis was performed using the MAXQDA software (VER BI GmbH, Berlin, Germany). RESULTS: The study revealed ten fundamental principles of digital professionalism for the metaverse in healthcare: Privacy and Security, Informed Consent, Trust and Integrity, Accessibility and Inclusion, Professional Boundaries, Evidence-Based Practice, Continuous Education and Training, Collaboration and Interoperability, Feedback and Improvement, and Regulatory Compliance. CONCLUSION: As the metaverse continues to expand and integrate itself into various industries, including healthcare, it becomes vital to establish principles of digital professionalism to ensure ethical and responsible practices. Healthcare professionals can uphold these principles to maintain ethical standards, safeguard patient privacy, and deliver effective care within the metaverse.

Smart city healthcare delivery innovations: a systematic review of essential technologies and indicators for developing nations.

BACKGROUND: In recent times, the concept of smart cities has gained remarkable traction globally, driven by the increasing interest in employing technology to address various urban challenges, particularly in the healthcare domain. Smart cities are proving to be transformative, utilizing an extensive array of technological tools and processes to improve healthcare accessibility, optimize patient outcomes, reduce costs, and enhance overall efficiency. METHODS: This article delves into the profound impact of smart cities on the healthcare landscape and discusses its potential implications for the future of healthcare delivery. Moreover, the study explores the necessary infrastructure required for developing countries to establish smart cities capable of providing intelligent health and care services. To ensure a comprehensive analysis, we employed a well-structured search strategy across esteemed databases, including PubMed, OVID, EMBASE, Web of Science, and Scopus. The search scope encompassed articles published up to November 2022, resulting in a meticulous review of 22 relevant articles. RESULTS: Our findings provide compelling evidence of the pivotal role that smart city technology plays in elevating healthcare delivery, forging a path towards improved accessibility, efficiency, and quality of care for communities worldwide. By harnessing the power of data analytics, Internet of Things (IoT) sensors, and mobile applications, smart cities are driving real-time health monitoring, early disease detection, and personalized treatment approaches. CONCLUSION: Smart cities possess the transformative potential to reshape healthcare practices, providing developing nations with invaluable opportunities to establish intelligent and adaptable healthcare systems customized to their distinct requirements and limitations. Moreover, the implementation of smart healthcare systems in developing nations can lead to enhanced healthcare accessibility and affordability, as the integration of technology can optimize resource allocation and improve the overall efficiency of healthcare services. It also may help alleviate the burden on overburdened healthcare facilities by streamlining patient care processes and reducing wait times, ensuring that medical attention reaches those in need more swiftly.

The interplay of attachment styles and marital infidelity: A systematic review and meta-analysis.

Objectives: Marital infidelity is a highly distressing experience for those involved. Understanding the psychological factors related to infidelity can help develop targeted interventions. The primary aim of this study was to assess the association between attachment styles and marital infidelity. Methods: Seventeen studies were included, sourced from electronic databases including PubMed, Scopus, Web of Science, and PsycInfo, with no time limitations, up to April 2023. The search employed terms like "attachment AND marital infidelity." Study quality was evaluated using the Risk of Bias Assessment Tool from RevMan version 5.3. Results: The meta-analysis involved a total of 13,666 participants, ranging from 208 to 4047 individuals. Findings showed that higher levels of anxiety and avoidance in attachment were significantly associated with increased marital infidelity (r = 0.18, 95 % CI = 0.14-0.22, p < 0.0001). Conversely, weaker attachment insecurity was linked to reduced rates of marital infidelity. Additionally, both dismissive and fearful attachment styles correlated with marital infidelity, with respective weighted effect sizes of r = 0.07, p < 0.001 (95 % CI = 0.04-0.10) and r = 0.19, p < 0.001 (95 % CI = 0.10-0.29). No association was found between preoccupied attachment and infidelity. Conclusion: Individuals with insecure attachment styles, specifically those with high levels of anxiety or avoidance, are more likely to engage in marital infidelity. Attachment styles should be a focus in couples therapy, especially for treatment related to infidelity. Assessing and addressing these underlying attachment issues can better guide therapists in their work with couples facing infidelity.

Mental Health in Self-Quarantined Pregnant Women for 14 Days During the Coronavirus Outbreak in Iran.

Background: Quarantine during COVID-19 disease may be associated with psychological distress and other behavioral problems. This study aimed to investigate depression, anxiety, and stress in self-quarantined pregnant women at home for 14 days during the coronavirus disease outbreak in Iran. Materials and Methods: A cross-sectional web survey was carried out on 874 pregnant women in all governmental health centers of two cities in Iran using the census method in 2020-21. Survey data were collected with the Depression, Anxiety, and Stress Scale-21. Data were analyzed using descriptive statistics and analytical tests (Chi-square, Pearson's correlation coefficient, and logistic regression) at significance level less than 0.05. Results: Approximately 40.04% (N = 350) of the participants were classified as a self-quarantine group. The mean (SD) of the stress score was higher for the quarantine group compared to nonquarantine (8.12 (4.95) vs. 5.96 (4.51)) (F2,874 = 25.180, p < 0.001). But there was no significant difference in the depression and anxiety scores between the quarantine group compared to nonquarantine, respectively. Additionally, the adjusted odds ratio for stress score was associated with an unwanted pregnancy (1.993, 95% CI: 1.108-3.587; p = 0.021), younger age (1.707, 95% CI: 1.082-2.692; p = 0.022) and uninsured coverage (2.240, 95% CI: 1.320-3.801; p = 0.003), and complete quarantine (2.027, 95% CI: 1.548-2.654; p < 0.001). Conclusions: Self-quarantine during the COVID-19 pandemic has been related to high-stress levels, specifically, among women of younger age, uninsured, and unwanted pregnancies. Thus, quarantined pregnant women will need more mental health support and medical supplies.