Reduction of severe behavior problems in the community using a multicomponent treatment approach

Abstract

Problem behavior often prevents community integration of people with developmental disabilities. Therefore, we evaluated a multicomponent approach for remediating problem behavior in public community settings (specifically, supermarkets). We selected treatments based on hypotheses about the variables controlling the problem behavior (hypothesis-driven model). The multicomponent intervention included choice making, embedding, functional communication training, building tolerance for delay of reinforcement, and presenting discriminative stimuli for nonproblem behavior. Treatment progress was monitored using measures of latency and task completion rather than traditional measures of frequency and time sampling. Results showed substantial increases in task completion and duration of time spent in supermarkets without problem behavior. Outcomes were socially validated by group-home staff and cashiers. We discuss how the intervention approach taken can resolve some of the issues involved in assessing, measuring, and treating problem behavior in the community.