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„Attention Bias“ für sozial-bedrohliche Reize bei körperbezogenen Sorgen – ein systematischer Review
(2020)
Zum Nutzen einer EDV-Dokumentation für die Bereiche Schmerz und Demenz in der stationären Altenhilfe
(2013)
Zeit für Wünsche
(2011)
Worum es geht
(2011)
Wir brauchen ein globales Verständnis von Physiotherapie. Bericht vom 4. Europäischen WCPT-Kongress
(2017)
Was will der Patient? Neues Bewertungsmodell zur Entgeltbemessung der "Wahlleistung Unterkunft"
(2006)
Warum soll ich das Lernen? Lerngründe und Lernwiderstände in der theoretischen Pflegeausbildung
(2022)
Lernwiderstände sind Folge von unangemessener Lernanforderungen, die Lehrende an Schüler_innen richten. Vor allem Leistungsüberprüfungen und Leistungsdruck können Widerstände beim Lernen hervorrufen. Das kann zu negativen Emotionen wie Frustration und Hilflosigkeit beim Lernen führen. Außerdem erleben die Auszubildenden das Lernen als Zwang. Um diesen Problemen beizukommen ist es wichtig, sich die Relevanz von Lernbegründungen bewusst zu machen, damit Lernen als etwas positives wahrgenommen wird.
Vom Standard- zum IT-Bett
(2019)
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.
Learning digital competencies can be successful if the information is also tried out immediately using interactive elements. However, interactive teaching poses a particular challenge, especially in large group formats. Various strategies are used to promote interaction, but there is little known about the results. This article shows different strategies and evaluates their influence on the interaction rate in a large group course over two terms that teaches digital medicine. Log files and participation in surveys as well as participation in chat were quantitatively evaluated. In addition, the chat messages themselves were evaluated qualitatively. For the evaluation, relation to the total number of participants was particularly relevant in order to be able to determine an interaction rate in the individual course sessions. A maximum average interaction rate of 90.97% could be determined over the entire term while the participants wrote an average of 3.96 comments during a session in the chat. In summary, this research could show that interactive elements should be well planned and used at regular intervals in order to reap the benefits.
BACKGROUND Interest in digital technologies in the health care sector is growing and can be a way to reduce the burden on professional caregivers while helping people to become more independent. Social robots are regarded as a special form of technology that can be usefully applied in professional caregiving with the potential to focus on interpersonal contact. While implementation is progressing slowly, a debate on the concepts and applications of social robots in future care is necessary. OBJECTIVE In addition to existing studies with a focus on societal attitudes toward social robots, there is a need to understand the views of professional caregivers and patients. This study used desired future scenarios to collate the perspectives of experts and analyze the significance for developing the place of social robots in care. METHODS In February 2020, an expert workshop was held with 88 participants (health professionals and educators; [PhD] students of medicine, health care, professional care, and technology; patient advocates; software developers; government representatives; and research fellows) from Austria, Germany, and Switzerland. Using the scenario methodology, the possibilities of analog professional care (Analog Care), fully robotic professional care (Robotic Care), teams of robots and professional caregivers (Deep Care), and professional caregivers supported by robots (Smart Care) were discussed. The scenarios were used as a stimulus for the development of ideas about future professional caregiving. The discussion was evaluated using qualitative content analysis. RESULTS The majority of the experts were in favor of care in which people are supported by technology (Deep Care) and developed similar scenarios with a focus on dignity-centeredness. The discussions then focused on the steps necessary for its implementation, highlighting a strong need for the development of eHealth competence in society, a change in the training of professional caregivers, and cross-sectoral concepts. The experts also saw user acceptance as crucial to the use of robotics. This involves the acceptance of both professional caregivers and care recipients. CONCLUSIONS The literature review and subsequent workshop revealed how decision-making about the value of social robots depends on personal characteristics related to experience and values. There is therefore a strong need to recognize individual perspectives of care before social robots become an integrated part of care in the future.
Freiwilligkeit hat im Kontext von Lernbegleitung eine hohe Relevanz. Als ein wesentliches Merkmal gilt es, dieses bei der Gestaltung und Reflexion zu berücksichtigen und genau zu beleuchten (Pätzold & Ulm, 2015). Die Evaluationsergebnisse des Praxisprojektes ILKA zeigen, dass Teilnehmende einer verpflichtenden Lernbegleitung zustimmen, wenn die
Nachhaltigkeit und Effekte des Angebotes als positiv eingeschätzt werden.
This survey study investigates surgical patients’ use and perception of digital health technologies in Germany in the pre–COVID-19 era. The objective of this study was to relate surgical patients’ characteristics to the use and perception of several digital health technologies. In this single-center, cross-sectional survey study in the outpatient department of a university hospital in Germany, 406 patients completed a questionnaire with the following three domains: general information and use of the internet, smartphones, and general digital health aspects. Analyses were stratified by age group and highest education level achieved. We found significant age-based differences in most of the evaluated aspects. Younger patients were more open to using new technologies in private and medical settings but had more security concerns. Although searching for information on illnesses on the web was common, the overall acceptance of and trust in web-based consultations were rather low, with <50% of patients in each age group reporting acceptance and trust. More people with academic qualifications than without academic qualifications searched for information on the web before visiting physicians (73/121, 60.3% and 100/240, 41.7%, respectively). Patients with academic degrees were also more engaged in health-related information and communication technology use. These results support the need for eHealth literacy, health literacy, and available digital devices and internet access to support the active, meaningful use of information and communication technologies in health care. Uncertainties and a lack of knowledge exist, especially regarding telemedicine and the use of medical and health apps. This is especially pronounced among older patients and patients with a low education status.
In der 11. Version der Internationalen statistischen Klassifikation der Krankheiten und verwandter Gesundheitsprobleme (ICD-11) findet sich erstmals die Kategorie der Körperbezogenen repetitiven Verhaltensstörungen (engl. „body-focused repetitive behavior disorders“, BFRBDs), die u. a. die Trichotillomanie (TTM) sowie die Skin-Picking-Störung (SPS) enthält und dem Zwangsspektrum zugeordnet ist. Diese Neuerung umfasst sowohl die Neukategorisierung der TTM, die in der ICD-10 noch bei den „abnormen Gewohnheiten und Störungen der Impulskontrolle“ verortet war, als auch die erstmalige Einführung einer eigenständigen Diagnose für die SPS. Trotz beachtlicher Prävalenzen (TTM: 1–2 %; SPS: 1,4–3,1 %) wurden die TTM und die SPS bislang in Fachkreisen wenig beachtet, was sich neben einem hohen Forschungsbedarf – auch in Bezug auf die nosologische Verortung – insbesondere in mangelhaften Versorgungsangeboten widerspiegelt. Bezüglich der Einordnung im Zwangsspektrum ist kritisch anzumerken, dass die Störungsbilder zwar Ähnlichkeiten mit der Zwangsstörung zeigen, aber dennoch fundamentale Unterschiede in Symptomatik, Ätiologie und Behandlung zu beachten sind. In diesem Kontext sollte davon abgesehen werden, TTM und SPS pauschal als Zwangsstörungen zu bezeichnen. Vielmehr sollten die individuellen Besonderheiten der BFRBD, die sich bei Betroffenen durch eine impulshafte, zwanghafte oder auch suchtartige Phänomenologie äußern können, individuell und differenziert analysiert und behandelt werden, um die bestmögliche Versorgung zu gewährleisten. Insgesamt bietet die Einführung der BFRBD-Kategorie mit einer eigenständigen Diagnose für die SPS in der ICD-11 wichtige Chancen zur Verbesserung der Forschungs- und Versorgungslage.
The perspective of families with a child who is ventilator-dependent at home. A literature review.
(2017)
Trichotillomanie (TTM) ist durch repetitives Haareausreißen charakterisiert, was zu signifikantem Haarverlust, einem hohen Leidensdruck und Beeinträchtigungen in wesentlichen Lebensbereichen führt. Schätzungsweise ein bis zwei Prozent der Allgemeinbevölkerung leiden unter TTM. Gemeinsam mit anderen pathologischen körperbezogenen repetitiven Verhaltensweisen ist TTM in DSM-5 und ICD-11 dem Zwangsspektrum zugeordnet. In der Ätiologie stehen lerntheoretische Modelle im Vordergrund. Zur Behandlung wird die Kognitive Verhaltenstherapie empfohlen, wobei insbesondere Nachweise zur Effektivität des Habit-Reversal-Trainings vorliegen. Derzeit liegt keine evidenzbasierte Empfehlung für eine spezifische pharmakologische Behandlung vor. TTM ist bis heute ein wenig erforschtes und in der Praxis unzureichend bekanntes Störungsbild. Der vorliegende Beitrag liefert einen Überblick über den aktuellen Forschungsstand und allgemeine Handlungsempfehlungen für die Praxis.
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.
Studium globale
(2014)
Sterben und Tod
(2011)
Sterben und Tod
(2019)
Steigerung der Versorgungsqualität in der Palliativversorgung durch elektronische Gesundheitsakten
(2021)
Spielerisch Pflege lernen.
(2019)
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.