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The Simulation Vila Health Determining the Credibility of Evidence

The Simulation Vila Health Determining the Credibility of Evidence

It is imperative that nurses and other medical practitioners utilize adequate scientific evidence and adopt evidence-based practices (EBPs). Due to the complexities surrounding patients’ healthcare needs, the EBP approach is fundamental in building process confidence, delivering quality care, and informing nurses’ decisions. More importantly, several conditions demand effective strategies and interventions to foster the recovery process and quality care (Li et al., 2017). Mental comorbidities may threaten individual health and lead to other issues like economic burdens, social isolation, and deaths. Managing mental health and subsequent illnesses require the application of modern therapeutic procedures proven by scientific evidence and reliable clinical trials.

Vila Health bridges the gap for technological advancements and quality health care services for patients with mental disorders. According to Meahder et al. (2018), integrating digital technologies in the management of mental comorbidities helps facilitate digitally shared information, foster communication, and boost recovery process tracking for healthcare professionals. Research suggests that patients with several cognitive illnesses suffer from other related issues such as anxiety and depression. Efforts to manage their progress from healthcare settings falter because of inefficient communication systems and unreliable information-sharing mechanisms.

This assessment focuses on establishing digital communication systems such as Vila Health in facilitating patient recovery by boosting information exchange mechanisms between patients with mental disorders and advanced caregivers. Also, it delves into establishing the effectiveness of the Simulation Vila Health scenario in empowering healthcare practitioners to integrate communication technologies to the overall intentions of addressing mental health conditions. Finally, the assessment establishes recommendations and insights for selecting scientific evidence from website and Journal databases.

Digital Simulation and Mental Health Quality

Information technology and the digital revolution contribute to the emerging trends in the mental health sector. According to Hirschritt & Insel (2018), rapidly increasing uses of mobile health apps, incorporation of modern machine learning, and artificial intelligence play crucial roles in shaping clinical decisions, automated therapy, and virtual reality accommodation in treatment interventions. Technological avenues such as Vila health are essential in addressing a wide array of constraints that compromise health care quality for patients with mental comorbidities. Some of the most prominent challenges eliminated by the incorporation of technological include lack of appropriate mechanisms to track patients’ recovery progresses, uneven access to clinicians, communication delays, negative perceptions towards psychiatry, and healthcare fragmentations.

With the growing interest and usage of digital devices such as mobile phones, nurses and other caregivers have the opportunity to leverage intuitive technologies integrated into such devices to foster mental healthcare. Hirschritt & Insel (2018) ascertain that wearables and smartphones may change how people assess moods, cognition, and behavior by decentralizing control to individual users. Therefore, digital phenotyping and simulations are crucial in facilitating knowledge and competencies of human-computer interactions. The data obtained by wearable sensors and mobile applications are essential in the early detection of depression, schizophrenia, and other mental conditions, including Post-Traumatic Stress Disorder (PSTD) (Fairburn & Patel, 2017). Additionally, patient-based information validates golf-standard clinical ratings and provide earlier signals of recovery or relapse.

Identification of Scientific Evidence of Evidence-based Nursing Practices

Nurses and other healthcare practitioners should leverage a wide array of scientific evidence to inspire decisions and practices and empower their knowledge of the best-proven intervention for diagnosis and treatment interventions. While striving to complete nursing research and other studies, nurses should utilize scholarly databases, hospital or university libraries, and guidelines from reputable professional organizations like the American Nurses Association (ADA). Out of these potential scientific information sources for evidence-based practices, online sources avail plenty of options to review when sourcing for primary and secondary scholarly evidence.

When accessing internet-based nursing sources, it is fundamental to weigh up various options and adopt relevant criteria for sifting out helpful information. Some of the ideal factors to consider when selecting nursing information sources include relevance, “modernity,” accuracy, and reliability. The relevance parameter depends on the researcher’s investigation topic and study purposes. The “modernity” aspect determines how current the sources are and how they incorporate recent arguments to impact knowledge (Williams, 2018). While establishing the source’s reliability and authenticity, it is vital to consider peer reviews, website security, and publication database. For instance, it is possible to access reliable, authentic, and recent medical journals from databases like PubMed, CINAHL, Cochrane Library, EMBASE, SAGE research methods, and Google Scholar. These databases require researchers to insert topic keywords, titles, authors, and other identification data like digital object identifier (DOI).

Conclusion

Evidence-based nursing practices are essential in empowering healthcare decisions and individual ability to apply scientific knowledge to deliver quality healthcare to patients with different health conditions. In the mental health domain, nurses and other medical practitioners should use scholarly information obtained from various sources to establish the role of digital therapies in addressing cognitive comorbidities and the subsequent effects. Medical researchers require appropriate strategies to distinguish reliable sources from unreliable ones. Some of the approaches to identify relevant research evidence include evaluating journals’ publication dates, database security, peer review reports, and website reputation. When sourcing appropriate sources for nursing information, several databases are ideal in complementing individual research. For example, PubMed, EMBASE, CINAHL, EBSCOHOST, and ProQuest are crucial in providing informative healthcare journals.

References