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Hospital information systems (HIS) should give support to nurses in their clinical and managerial duties. Though there are statistical data on the current use of HIS systems we know only little about the numbers of nursing modules implemented. We therefore conducted a nationwide survey in Germany (n = 2182) on the current state and future plans of HIS modules including nursing applications (response rate of 27.6 %). The findings show that management applications (84 % accounting) are still more frequent than clinical applications, in particular clinical patient record systems (19 %). What applied for HIS modules in general held also true for nursing on a lower level. ‘Whereas 51 %of the hospitals had rostering systems in place only 6 % used care planning software. Priorities and plans for the future reveal no change in the rank órder of systems. We argue that in order for clinical documentation and planning systems to catch up they must be immediately rewarding for the clinicians in their daily need for information.
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.
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.
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.
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.
The perspective of families with a child who is ventilator-dependent at home. A literature review.
(2017)
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.