https://www.selleckchem.com/products/ana-12.html State "shelter-in-place" (SIP) orders limited the spread of COVID-19 in the U.S. However, impacts may have varied by state, creating opportunities to learn from states where SIPs have been effective. Using a novel dataset of state-level SIP order enactment and county-level mobility data form Google, we use a stratified regression discontinuity study design to examine the effect of SIPs in all states that implemented them. We find that SIP orders reduced mobility nationally by 12 percentage points (95% CI -13.1 to -10.9), however the effects varied substantially across states, from -35 percentage points to +11 percentage points. Larger reductions were observed in states with higher incomes, higher population density, lower Black resident share, and lower 2016 vote shares for Donald J. Trump. This suggests that optimal public policies during a pandemic will vary by state and there is unlikely to be a "one-size fits all" approach that works best.Debriefing is essential for effective learning during simulation-based medical education. To assess the quality of debriefings, reliable and validated tools are necessary. One widely used validated tool is the Objective Structured Assessment of Debriefing (OSAD), which was originally developed in English. The aim of this study was to translate the OSAD into German, and to evaluate the reliability and validity of this German version (G-OSAD) according the 'Standards of Educational and Psychological Measurement'. In Phase 1, the validity evidence based on content was established by a multistage cross-cultural adaptation translation of the original English OSAD. Additionally, we collected expert input on the adequacy of the content of the G-OSAD to measure debriefing quality. In Phase 2, three trained raters assessed 57 video recorded debriefings to gather validity evidence based on internal structure. Interrater reliability, test-retest reliability, internal consistency, and compos