In 2002, the Massachusetts Department of Developmental Services (DDS) developed a contractual requirement that employment service provider performance be tracked through outcome measures. As a result, DDS shaped its employment data collection system to focus on what it viewed as key outcomes for measuring success around employment.
In 2010, when the New Hampshire Bureau of Developmental Services (BDS) received grant funds to strengthen multisystem service delivery, its administrators partnered with area agencies; community rehabilitation providers, or CRPs (employment providers); and other stakeholders to improve and streamline the process of collecting employment data. Originally a multi-system process, BDS continued the data-collection effort when other systems withdrew.
The increasing emphasis on government accountability at the state and federal levels has increased interest in and use of outcome data. Moreover, research has found that high performing states in integrated employment generally have a clear and visible data collection system that provides individual outcome data (Hall et al, 2007). But what are the most important elements in designing and using a system?
The state of Florida's Agency for Persons with Disabilities (APD) has implemented a five-year employment initiative for people with ID/DD. One goal is to enable at least 50 percent of adults (ages 18 to 55) receiving APD-funded day services (including adult day training, supported employment, and non-residential supports and services), as of July 1, 2004, to achieve community employment by July 1, 2009.