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NLPES Conference NotesEvaluating and Using Agency Performance MeasuresModerator: Gary Brown, Audit Division Administrator, Michigan Office of the Auditor General
Presenter: Verma Elliott, Project Manager, Texas State Auditor’s Office Texas jumped into requiring agencies to use performance measures with a budget reform proposal in 1991, and those measures had to be in place by 1993. Those performance measures are used
The SAO each year does certification audits for a portion of the state’s 7,000 key performance measures at the 250+ agencies to verify that systems include adequate internal controls to increase the probability that reported measure data will continue to be accurate. (SAO staff have just completed reviewing each agency at least once.) There audits have found a gradual increase in the reliability of agency data, but still only about 62% have been found to be reliable. If the audit can re-create the numbers reported within ± 5%, the SAO “certifies” the agency’s reporting. However, the most prevalent rating is “certified with qualification,” meaning that the number reported probably is right but that it probably couldn’t be replicated. Lessons learned so far:
Presenter: Gary VanLandingham, Deputy Director, Florida Office of Program Policy Analysis and Government Accountability (OPPAGA) In 1994, the Florida Legislature mandated that performance-based program budgeting was to be phased in over a seven-year period. Agencies must establish comprehensive performance measurement systems for their programs, measuring inputs, outputs, unit costs, and outcomes. The Legislative Budget Commission uses the information collected to conduct “0-based” budget reviews. The Legislature approves the measures and incorporates them in the budget. OPPAGA uses the measures in its studies, and it also provides technical assistance to the agencies that are developing their measures. Performance measures are useful in addressing bottom-line effectiveness questions. For example, the state now has data that wasn’t available before on the types of services being provided to mental health clients, the cost of those services, and client outcomes. With that data, programs in various parts of the state can be compared and, it is hoped, effectiveness can be improved by replicating successful programs. Often, for an evaluation, the data available isn’t what you want, what you think you want doesn’t turn out to be what you need, and what you want and need doesn’t exist. Good performance measures should minimize the “doesn’t exist” category and provide better accountability information for managers, evaluators, and policy makers. Too many measures can overwhelm an agency; too few mean performance can’t properly be assessed. Ideally, measures can show trends in how funding affects performance. Performance measures can be for tasks, programs, and policies.
Lessons learned, so far:
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