Secondary Analyses: Change of secondary outcomes (resident outcomes, i.e., RAI quality indicators, staff outcomes and organizational variables) will be monitored over time in each study arm, and outcomes will be compared between the three study arms using descriptive statistics, Statistical Process Control methods, and appropriate significance tests (t tests for normally distributed, linear, continuous outcomes; non-parametric tests for variables that don't meet these assumptions; chi tests for categorical outcomes). A dichotomous variable (improved/not improved) will be assigned to each unit in the intervention. Then, using logistic regression with improvement as the outcome the effects of context (using ACT scales), best practice use, and staff characteristics on improvement will be investigated. To this end a reliable classification system for individual control charts was developed.