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Background and objectives: Virtual reality simulation (VRS) can be used to complement experiential learning, as it enables nursing students to further learn and refine nursing skills outside of the clinical setting. However, gathering evidence for its effectiveness as a teaching method in achieving learning outcomes is still ongoing, and thus there is a lack of systematic synthesis. The objective of this systematic literature review is to analyze VRS scenarios with a high level of immersion and their impact on learning outcomes in nursing education.
Methods: A literature search was performed in the MEDLINE, CINAHL, and ERIC databases in November 2022. As a result, fifteen studies were included and analyzed using deductive content analysis.
Results: The studies reported twelve different scenarios for virtual reality simulations with high levels of immersion, the focus of which was on acute critical care, broader nursing processes, neonatal and pediatric care, single nursing interventions, and observation of patients’ symptoms. The associated learning objectives were mainly achieved in the domains of cognition and psychomotor skills.
Conclusions: There are several VRS scenarios that show potential for use in nursing education. The VRS scenarios are effective in improving learning outcomes, particularly those related to knowledge and skills. Overall, the supportive body of evidence gained through this review may help nurse educators in integrating virtual simulations in their curricula. In the future, nursing and adult learning theories should be given greater consideration, and the aspect of affective learning could be included in design and implementation. Moreover, future research could benefit from exploring the long-term effects of learning after using VRS with a high level of immersion to provide valuable evidence for developing VRS teaching methods in nursing.
The perspective of families with a child who is ventilator-dependent at home. A literature review.
(2017)
Objective:
We examined whether autonomic flexibility to experimentally presented stressors is reduced in somatic symptom disorder (SSD) as this would point to reduced vagal control as a proposed indicator of emotion regulation deficits.
Method:
In this experimental study, the influence of health-related and social stressors on subjective and physiological reactivity was investigated in 29 subjects with SSD without any medical condition SSD(mc−), 33 subjects with SSD with medical condition SSD(mc+) and 32 healthy controls at the age from 18 to 70 years. Self-report and physiological variables were measured before and after/during stressor exposure, using state ratings of symptom intensity, disability, tension and mood, heart rate (HR), and heart rate variability (HRV).
Results:
Overall, the tension increased and the mood worsened after exposure to stressors compared to pre-exposure. Compared to HC, the two SSD groups showed higher symptom intensity, disability, tension and worse mood. The SSD(mc−) group revealed higher HR than HC (p = .012, d = −0.77). Compared to pre-exposure, symptom impairment increased after social stressor exposure in SSD(mc−) (p < .001, d = 1.36). HRV-root mean square of successive differences (RMSSD) only decreased in HC during exposure (p = .003, d = −1.09), not in the SSD groups. The two SSD groups did not differ in their reactivity to stressors.
Conclusion:
HRV in SSD, seems to respond less flexibly to stressors, potentially reflecting overall physiological disturbance through reduced parasympathetic influence on HR. Stress reactivity in SSD(mc−) and SSD(mc+) do not seem to differ.
Habits are highly automated behaviors that have received renewed attention in addiction research. The Self-Report Habit Index (SRHI) is a widely used measure of habits. Two cross-sectional online studies aimed at validating a German version of the SRHI to assess two everyday health-risk behaviors: caffeine consumption and smartphone/tablet use. In both studies (N = 1310), the SRHI scales (one adapted for caffeine consumption, one for smartphone/tablet use), as well as corresponding addiction scales and health outcomes (study 1), or established validity measures (study 2), were assessed. Both SRHI scales showed satisfying item characteristics, high internal consistencies (αs > .90), adequate construct validity, and a three-factorial solution with a satisfying model fit (CFI/TLIs > .95, SRMRs ≤ 0.05). Highest correlations emerged between SRHI and addiction scales. The studies show that the German SRHI can be used to validly assess health-risk behaviors. The observed strong correlations of the SRHI scales with addiction scales suggest that (self-reported) habit is indeed an important aspect to consider in addiction research.
The introduction of the ICF model as a basis for rehabilitation provides new perspectives on rehabilitation practices. According to the ICF, participation can be enhanced via different pathways, including interventions on environmental factors.
We have conducted a document analysis, linking to the ICF environmental factor codes, expert workshops and focus groups.
The project resulted in a substantial number of different recommendations.
Background: Electronic medical records (EMRs) offer a promising approach to mapping and documenting the complex information gathered in paediatric palliative care (PPC). However, if they are not well developed, poorly implemented EMRs have unintended consequences that may cause harm to patients. One approach to preventing such harm is the involvement of users in the participatory design to ensure user acceptance and patient safety. Therefore, the aim of this study is to evaluate the acceptance of a novel patient chart module (PCM) as part of an EMR from the perspective of potential users in PPC and to involve these professionals in the design process. Methods: A qualitative observational study with N = 16 PPC professionals (n = 10 nurses, n = 6 physicians) was conducted, including concurrent think aloud (CTA) and semi-structured interviews. A structured content analysis based on the Unified Theory of Acceptance and Use of Technology was applied. Results: The results can be summarized in terms of general observations, performance expectancy, effort expectancy and facilitating conditions, all of which are likely to have a positive influence on acceptance of the PCM from the user perspective in the context of PPC. Conclusions: The involvement of users in the development of EMRs is important for meeting the requirements in PPC. Further software adaptations are necessary to implement these requirements.
Background: Pediatric palliative care (PPC) patients experience years of multisectoral and professional care. An electronic cross-facility health record (ECHR) system can support the immediate exchange of information among PPC professionals. Based on a needs assessment, a prototype ECHR system was developed. Methods: To evaluate potential users’ perspective regarding the system, a qualitative observational study was conducted consisting of a concurrent think-aloud session and a semi-structured qualitative interview. Results: Twenty PPC professionals (nurses, physicians) from specialized outpatient PPC teams, a PPC unit, and medical offices rated the ECHR system as a helpful tool to improve the exchange and collection of information, communication between PPC professionals, and treatment planning. From the user’s point of view, the basic logic of the ECHR system should be further adapted to improve the interaction of data remirrored from patient records of outpatient and inpatient care with those entered via the system. The users wished for further functions (text search) and content (information on therapies). Some content, such as the treatment process, needs to be further adapted. Conclusion: The developed ECHR system needs to be more specific in some features by offering all available information; while for other features, be less specific to offer a quick overview. The ability to share information promptly and automatically was seen as a tremendous improvement to the quality of care for PPC patients.
This paper describes the data mining method of association analysis within the framework of Knowledge Discovery in Databases (KDD) with the aim to identify standard patterns of nursing care. The approach is application-oriented and used on nursing routine data of the method LEP nursing 2. The increasing use of information technology in hospitals, especially of nursing information systems, requires the storage of large data sets, which hitherto have not always been analyzed adequately. Three association analyses for the days of admission, surgery and discharge, have been performed. The results of almost 1.5 million generated association rules indicate that it is valid to apply association analysis to nursing routine data. All rules are semantically trivial, since they reflect existing knowledge from the domain of nursing. This may be due either to the method LEP Nursing 2, or to the nursing activities themselves. Nonetheless, association analysis may in future become a useful analytical tool on the basis of structured nursing routine data.