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Centers for Disease Control and Prevention National Center for Health Statistics

Program Assessment Rating Tool “PART”. Centers for Disease Control and Prevention National Center for Health Statistics. What is PART?. Systematic method of assessing the performance of program activities across the Federal government.

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Centers for Disease Control and Prevention National Center for Health Statistics

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  1. Program Assessment Rating Tool“PART” Centers for Disease Control and Prevention National Center for Health Statistics

  2. What is PART? • Systematic method of assessing the performance of program activities across the Federal government. • First used by the Office of Management and Budget in FY 2004 • Continues to be an important initiative across the Federal government

  3. Process for Completing PART Review • Standard OMB questionnaire format • Exhaustive documentation/”evidence” • Formal review session • OMB assigns scores • Review and appeals process

  4. Program Purpose and DesignWeight: 20% • Assess whether the program’s purpose and design are clear and sound • NCHS Score: 100%

  5. Strategic PlanningWeight: 10% • Assess whether the program has valid long-term annual measures and targets • NCHS Score: 90%

  6. Program ManagementWeight: 20% • Rate agency management, including financial oversight and program improvement efforts • NCHS Score: 100%

  7. Program Results/AccountabilityWeight: 50% • Rate program performance on measures and targets reviewed in the strategic planning section and through other evaluations • NCHS Score: 67%

  8. OMB Rating Scale • Effective: 85% - 100% • Moderately effective: 70% - 84% • Adequate: 50% - 69% • Ineffective: 0% - 49% NCHS Overall Score • 82% - Moderately effective

  9. Where We Can Improve • Score will increase as new PART measures are tracked • Customer Satisfaction • Web tools and technologies • Scope and detail • Need to have more comprehensive independent evaluations

  10. Compared to What?Does it Matter?

  11. OMB-Approved Performance Measuresfor NCHS • increase timeliness for release of data • measure satisfaction of key data users and policy makers • improve scope and detail of information, as measured by that provided in HUS • improve user tools and technologies on NCHS website

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