Predicting in-home time of community care professionals

The aim of this study was to test whether the client homebound score (CHS), the case management intensity score (CMIS) and the client priority visit score (CPVS) could be used to predict in-home time of professional caregivers in the Aspen community care program. A random sample of 34 community care clients from the different geographical areas of the Aspen Regional Health Authority was selected and the home visits for each client were tracked for three months. Information such as client demographics, the client diagnostic category, number and in-home time of visits was collected. In addition, the CHS, the CMIS and the CPVS were measured for each client. Data were analyzed, using a robust variance estimator regression model. CMIS was found to be the best predictor of in-home time (coefficient 9.521, p > 0.001), followed by the CHS and the CPVS.