Exploring facilitation in virtual simulation in nursing education: A scoping review.

Objective: To systematically map existing research regarding the reflective feedback in virtual simulation in undergraduate nursing education. Methods: A scoping review was conducted based on the Arksey and O'Malley framework and the PRISMA-ScR. Results: We included 41 studies from 15 different countries. The simulation interventions allowed for interaction between the student and the virtual patient, the software, faculty, peers, or a combination of two or more of these. Students valued reflective feedback during and after the simulation. Conclusions: Our review emphasizes the importance of a human in the loop. Feedback before, during, and after the simulation is possible in virtual simulation where the facilitator can pause the virtual scenario and stimulate reflections during the simulation to obtain deep learning. Virtual simulation provides opportunities to give feedback from the software, such as cues or direct feedback. Innovation: There is a lack of focus on the feedback process and there is a need to revitalize the role of facilitators in a virtual simulation to determine their relative contribution in this process. Several studies reported the usefulness or the effect of virtual simulation on learning processes, but most lacked emphasis on investigating the significance of including a human in the loop.

Nursing students' experiences of virtual simulation when using a video conferencing system - a mixed methods study.

OBJECTIVES: There is limited knowledge about students' experiences with virtual simulation when using a video conferencing system. Therefore, the aim of this study was to explore how second-year undergraduate nursing students experienced learning through virtual simulations during the COVID-19 pandemic. METHODS: The study had an exploratory design with both quantitative and qualitative approaches. In total, 69 nursing students participated in two sessions of virtual simulation during spring 2020, and 33 students answered online questionnaires at session 1. To further explore students' experiences, one focus group interview and one individual interview were conducted using a video conferencing system after session 2. In addition, system information on use during both sessions was collected. RESULTS: Changes in the students' ratings of their experiences of virtual simulation with the Body Interact™ system were statistically significant. The virtual simulation helped them to bridge gaps in both the teaching and learning processes. Four important aspects of learning were identified: 1) learning by self-training, 2) learning from the software (Body Interact™), 3) learning from peers, and 4) learning from faculty. CONCLUSIONS: We conclude that virtual simulation through a video conferencing system can be useful for student learning and feedback from both peers and faculty is important.

Patient classification systems used to classify nursing intensity and assess nursing staffing resources in home health care: A scoping review.

OBJECTIVES: To identify the patient classification systems used to classify nursing intensity in the assessment of nursing staffing resources currently used in home health care, with a special emphasis on validity, reliability and staff allocation. DESIGN: Scoping review of internationally published and grey literature, based on a methodological framework by Arksey and O'Malley. DATA SOURCES: Searches of the electronic databases Cinahl, Medline, Embase and SweMed, the websites Google and Google Scholar and hand searches of reference lists occurred. Eligibility criteria included (A) a focus on patient classification systems measuring nursing intensity and workload in home health care and (B) published in English between January 2007 and March 2019. In level one testing two team members screened titles and abstracts, in level two testing two team members determined which papers should undergo a full text review. Data were extracted using structured extraction by one team member and verified by two other members. RESULTS: Thirteen peer-reviewed articles and grey literature documents were identified, from Canada, Ireland, the UK, the USA, Scotland, Turkey and the Netherlands. Four patient classification systems had been tested for both validity and reliability. Validity was tested through face validity, predictive validity, concurrent validity or content validity index. Reliability was tested through stability, internal consistency, observer agreement or inter rater reliability. One patient classification system had been tested only for reliability, through interrater reliability and observer agreement. Two patient classification systems had been evaluated through summative evaluation; one qualitatively through focus group interviews and one through semi-structured interviews. Only one patient classification system had been validity and reliability tested and evaluated. Overall, the patient classification systems in the included papers (13) were considered to have benefits and to be appropriate for the measurement of patients' needs, workload and allocation of staff, although specific information was not always given. CONCLUSION: Little has been published on validity or reliability tested patient classification systems linked to staffing allocation in home health care in the past decade. Limited research was seen where a patient classification system was considered to be fully operational in home health care.

Using a new interrater reliability method to test the modified Oulu Patient Classification instrument in home health care.

Aim: To test the interrater reliability of the modified Oulu Patient Classification instrument, using a multiple parallel classification method based on oral case presentations in home health care in Norway. Design: Reliability study. Methods: Data were collected at two municipal home healthcare units during 2013-2014. The reliability of the modified OPCq instrument was tested using a new multiple parallel classification method. The data material consisted of 2 010 parallel classifications, analysed using consensus in per cent and Cohen's kappa. Cronbach's alpha was used to measure internal consistency. Results: For parallel classifications, consensus varied between 64.78-77.61%. Interrater reliability varied between 0.49-0.69 (Cohen's kappa), the internal consistency between 0.81-0.94 (Cronbach's alpha). Analysis of the raw scores showed 27.2% classifications had the same points, 39.1% differed one point, 17.9% differed two points and 16.5% differed ≥3 points.