Factors that predict good Active Support in services for people with intellectual disabilities: A multilevel model

BACKGROUND: Active Support, now widely adopted by disability support organizations, is difficult to implement. The study aim was to identify the factors associated with good Active Support. METHODS: Data on service user and staff characteristics, quality of Active Support and practice leadership were collected from a sample of services from 14 organizations annually for between 2 and 7 years, using questionnaires, structured observations and interviews. Data were analysed using multilevel modelling (MLM). RESULTS: Predictors of good Active Support were adaptive behaviour, practice leadership, Active Support training, and time since its implementation. Heterogeneity, having more than six people in a service and larger organizations were associated with lower quality of Active Support. CONCLUSIONS: In order to ensure that Active Support is consistently implemented, and thus, quality of life outcomes improved, organizations need to pay attention to both service design and support for staff through training and practice leadership.