[Experience with orthopaedic insoles-a cross-sectional study]. / Erfahrungen mit der orthopädischen Einlagenversorgung ­ Eine Querschnittsstudie.

BACKGROUND: Orthopaedic insoles (OI) are used to treat a variety of foot problems. OBJECTIVES: The aim of this cross-sectional study was to investigate the perceptions of the treatment with OI among the manufacturers of the OIs, the orthopaedic technicians (OT). METHODS: OT from the federal states of Schleswig-Holstein and Lower Saxony in Germany were invited to take part in a survey. The questions included, among others, the number of prescriptions for the production of an OI per month and the materials used. Descriptive statistics, subgroup analyses and a linear regression analysis were performed. RESULTS: Of the 312 questionnaires distributed, 159 were completed (response rate 51%). Most of the respondents were male (80%). The average age of the participants was 50. On average, OT produced 290 OI per month, with plastic being the most commonly used material (73%). OT with less than 20 years of professional experience are more likely to follow the doctor's instructions when producing OI than OT with more than 20 years of professional experience. The latter are more likely to base their decisions regarding the manufacture and issuing of OI on their own experience. CONCLUSIONS: The production and issuing process of OI differs among OT. The different professional perspectives of the OT could play a role here, as does the lack of a standardized procedure. The factors listed in this study represent potential starting points for future research projects that could contribute to the development of evidence-based standards.

Artificial Intelligence Supporting the Training of Communication Skills in the Education of Health Care Professions: Scoping Review.

BACKGROUND: Communication is a crucial element of every health care profession, rendering communication skills training in all health care professions as being of great importance. Technological advances such as artificial intelligence (AI) and particularly machine learning (ML) may support this cause: it may provide students with an opportunity for easily accessible and readily available communication training. OBJECTIVE: This scoping review aimed to summarize the status quo regarding the use of AI or ML in the acquisition of communication skills in academic health care professions. METHODS: We conducted a comprehensive literature search across the PubMed, Scopus, Cochrane Library, Web of Science Core Collection, and CINAHL databases to identify articles that covered the use of AI or ML in communication skills training of undergraduate students pursuing health care profession education. Using an inductive approach, the included studies were organized into distinct categories. The specific characteristics of the studies, methods and techniques used by AI or ML applications, and main outcomes of the studies were evaluated. Furthermore, supporting and hindering factors in the use of AI and ML for communication skills training of health care professionals were outlined. RESULTS: The titles and abstracts of 385 studies were identified, of which 29 (7.5%) underwent full-text review. Of the 29 studies, based on the inclusion and exclusion criteria, 12 (3.1%) were included. The studies were organized into 3 distinct categories: studies using AI and ML for text analysis and information extraction, studies using AI and ML and virtual reality, and studies using AI and ML and the simulation of virtual patients, each within the academic training of the communication skills of health care professionals. Within these thematic domains, AI was also used for the provision of feedback. The motivation of the involved agents played a major role in the implementation process. Reported barriers to the use of AI and ML in communication skills training revolved around the lack of authenticity and limited natural flow of language exhibited by the AI- and ML-based virtual patient systems. Furthermore, the use of educational AI- and ML-based systems in communication skills training for health care professionals is currently limited to only a few cases, topics, and clinical domains. CONCLUSIONS: The use of AI and ML in communication skills training for health care professionals is clearly a growing and promising field with a potential to render training more cost-effective and less time-consuming. Furthermore, it may serve learners as an individualized and readily available exercise method. However, in most cases, the outlined applications and technical solutions are limited in terms of access, possible scenarios, the natural flow of a conversation, and authenticity. These issues still stand in the way of any widespread implementation ambitions.

From summative MAAS Global to formative MAAS 2.0 - a workshop report.

Background: The MAAS Global (Maastricht History-taking and Advice Scoring List) is an internationally widely-used instrument in under- and postgraduate medical education. The focus is on the assessment of medical communication and clinical skills. The assessment tool, which has also been used in Germany since 2015, has a high-quality design (e.g. comprehensible structure, appropriate complexity), good psychometric properties and is very user-friendly. An update of MAAS Global, MAAS 2.0, was published in March 2021 with a new and greater focus on context and the formative. Method: The revised version of the MAAS 2.0 assessment sheet was translated into German with the authors' permission. Open questions were discussed with the revision process project manager. Results: The revision was carried out with a view to focusing on the patient's frame of reference, removing ambiguities identified previously while using MAAS Global, and closer alignment with the underlying Calgary-Cambridge model. Furthermore, the scale used for the evaluation was modified and now uses a formative evaluation range without grade-related classification. Conclusion: With the content reorientation of MAAS Global to MAAS 2.0, and the associated focus on frame of reference, context, the formative, the revision presented here sets new priorities for future evaluations in the context of under- and postgraduate medical education and the assessment of medical patient communication in general.

Healthy Mobile Work: The Relationship of a Participative Work Agreement and Workplace Health Management-Qualitative Results of a Longitudinal Study.

Mobile work is becoming increasingly common, and it has been, consequently, associated with new health-related hazards and resources. Our study examined health-related stresses, strains and resources of mobile work in a medium-sized company. The study aimed to generate implications for a work agreement and for workplace health management (WHM). For this, a multi-method longitudinal study (2019-20) was conducted, with 29 focus group and 6 individual interviews (absolute number of all participants N = 187). It was designed as a qualitative content analysis and theoretically based on the job demands-resources model (JD-R). Positive effects (e.g., increased work-life balance, higher concentration), as well as negative consequences (e.g., alienation in the team, communication effort), can be found. Numerous fields of action for both the work agreement and WHM could be identified. For example, the work agreement regulates the equipment for working from home with support from WHM in order to ensure occupational health-oriented selection and handling, or by fixing core working hours through the work agreement and supporting competence building for leaders in order to enable flexible work commitments for employees. Self-organised work at home can be supported both by rules in the service agreement and by building up self-management skills through the WHM's offers. The findings illustrate that a work agreement can make a relevant contribution to a healthy design of mobile work by systematically linking it with WHM. The synergies between work agreement, employee health and WHM become clear.

Association between mobile work and work ability: a longitudinal study under the impact of the COVID-19 pandemic.

OBJECTIVE: This study examines the effect of mobile work on work ability as direct predictor and as factor moderating workplace stressors and resources. Originally, the study focused on the effects of mobile work on work ability in a mobile test group compared to office workers. As the study period of 1 year collided with the beginning of the COVID-19 pandemic and lockdown restrictions, we can now explore the association of mobile work and work ability before and during the first year of the COVID-19 pandemic. METHODS: This longitudinal, exploratory study took place in a medium-sized company in the social insurance sector in Germany. We used a mixed-methods design (online survey and focus group interviews) with two survey dates 1 year apart (T0: summer/autumn 2019 (before COVID-19 pandemic), T1: summer 2020 (during COVID-19 pandemic, after first strict lockdown)). Quantitative data, which are reported here, were collected by means of an online questionnaire, which includes questions on mobile work and validated measures for work-related stressors and resources and work ability. Non-parametric tests, regression analysis, and logistic regression models were used for data analysis. RESULTS: The linked data set of both survey dates includes N = 102 persons (men: 37%, mean age: 41-50 years). Interestingly, we found an improvement in work ability over the course of the study (p = 0.007), although it included the first and most drastic COVID-19 restrictions in Germany. Before the pandemic, correlations between work ability and work-related stressors (e.g., work-privacy conflicts) and resources (e.g., sense of community) were evident. Some of these factors are moderated by mobile work. During the COVID-19 pandemic, mobile work was identified as independent factor for work ability. In addition, technology competence conviction gained importance as a personal resource in our cohort. CONCLUSIONS: Work ability can be influenced by many factors. Our study, which allowed for a comparison of work ability before and during COVID-19 pandemic, suggests that mobile work can be especially helpful to maintain work ability in times of change. Our findings support the notion that-under normal conditions-mobile work can influence work ability via work-related stressors and resources. In times of changes, it can have an independent effect on work ability. It must be assumed that the effects can be highly individual or context-specific.

Digitizing Social Counseling-Insights for Workplace Health Management.

Working digitally can lead to changes in work organization and social interactions, as well as work pace and workload. Online counseling is more and more integrated in social counseling. Research exists on employees' and users' attitudes towards online counseling as well as on the advantages and disadvantages of online counseling. There is a lack of studies on the stressors and strains caused by the increasing digitalization and the associated health consequences in this context. With an interview study, we investigated the general work situation of counselors, with a focus on stressors, strain, and resources caused by online counseling. Consecutively, we discuss the results in relation to their impact on workplace health management. Twenty-two explorative interviews with counselors from a German welfare organization were conducted in 2019 and 2020. Qualitative content analysis according to Mayring was used for analysis. Counselors' use of online devices depends on their own digital affinity and is likely to be used when advantages for clients are seen. Difficulties were mentioned in establishing a relationship of trust with the clients. Good teamwork and regular informal exchanges among colleagues contribute to job satisfaction. Overall, we found only few health-related effects. Results of the study suggest that digitization can have positive effects on the job satisfaction of counselors, if the associated changes are supported by organizational measures.