German GPs' Self-Perceived Role in the COVID-19 Pandemic: Leadership, Participation in Regional Services and Preferences for Future Pandemic Preparedness.

General practitioners (GPs) played a vital role during the COVID-19 pandemic. Little is known about GPs' view of their role, leadership, participation in regional services and preferences for future pandemic preparedness. This representative study of German GPs comprised a web-based survey and computer-assisted telephone interviewing (CATI). It addressed GPs' satisfaction with their role, self-perceived leadership (validated C-LEAD scale), participation in newly established health services, and preferences for future pandemic preparedness (net promotor score; NPS; range -100 to +100%). Statistical analyses were conducted using Spearman's correlation and Kruskal-Wallis tests. In total, 630 GPs completed the questionnaire and 102 GPs the CATI. In addition to their practice duties, most GPs (72.5%) participated in at least one regional health service, mainly vaccination centres/teams (52.7%). Self-perceived leadership was high with a C-LEAD score of 47.4 (max. 63; SD ± 8.5). Overall, 58.8% were not satisfied with their role which correlated with the feeling of being left alone (r = -0.349, p < 0.001). 77.5 % of respondents believed that political leaders underestimated GPs' potential contribution to pandemic control. Regarding regional pandemic services, GPs preferred COVID-19 focus practices (NPS +43.7) over diagnostic centres (NPS -31). Many GPs, though highly engaged regionally, were dissatisfied with their role but had clear preferences for future regional services. Future pandemic planning should integrate GPs' perspectives.

SCAview: an Intuitive Visual Approach to the Integrative Analysis of Clinical Data in Spinocerebellar Ataxias.

With SCAview, we present a prompt and comprehensive tool that enables scientists to browse large datasets of the most common spinocerebellar ataxias intuitively and without technical effort. Basic concept is a visualization of data, with a graphical handling and filtering to select and define subgroups and their comparison. Several plot types to visualize all data points resulting from the selected attributes are provided. The underlying synthetic cohort is based on clinical data from five different European and US longitudinal multicenter cohorts in spinocerebellar ataxia type 1, 2, 3, and 6 (SCA1, 2, 3, and 6) comprising > 1400 patients with overall > 5500 visits. First, we developed a common data model to integrate the clinical, demographic, and characterizing data of each source cohort. Second, the available datasets from each cohort were mapped onto the data model. Third, we created a synthetic cohort based on the cleaned dataset. With SCAview, we demonstrate the feasibility of mapping cohort data from different sources onto a common data model. The resulting browser-based visualization tool with a thoroughly graphical handling of the data offers researchers the unique possibility to visualize relationships and distributions of clinical data, to define subgroups and to further investigate them without any technical effort. Access to SCAview can be requested via the Ataxia Global Initiative and is free of charge.

Small Changes in Patient Arrival and Consultation Times Have Large Effects on Patients' Waiting Times: Simulation Analyses for Primary Care.

(1) Background: Workflows are a daily challenge in general practices. The desired smooth work processes and patient flows are not easy to achieve. This study uses an operational research approach to illustrate the general effects of patient arrival and consultation times on waiting times. (2) Methods: Stochastic simulations were used to model complex daily workflows of general practice. Following classical queuing models, patient arrivals, queuing discipline, and physician consultation times are three key factors influencing work processes. (3) Results: In the first scenario, with patients arriving every 7.6 min and random consultation times, the individual patients' maximum waiting time increased to more than 200 min. The second scenario with random patient arrivals and random consultation times increased the average waiting time by up to 30 min compared to patients arriving on schedule. A busy morning session based on the second scenario was investigated to compare two alternative intervention strategies to reduce subsequent waiting times. Both could reduce waiting times by a multiple for each minute of reduced consultation time. (4) Conclusions: Aiming to improve family physicians' awareness of strategies for improving workflows, this simulation study illustrates the effects of strategies that address consultation times and patient arrivals.