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Placer County

Placer County. MHSA Data Collection. Background on data collection. 2010- Community-driven input for evaluation and reporting requirements on PEI activities 2011- Narrowing of reporting requirements and created first version of documentation

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Placer County

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  1. Placer County MHSA Data Collection

  2. Background on data collection • 2010- Community-driven input for evaluation and reporting requirements on PEI activities • 2011- Narrowing of reporting requirements and created first version of documentation • Spring 2012- Created a model that was consistent across all MHSA activities • Ease administrative burden • Consistency of reporting requirements

  3. Data System Infrastructure • Initially Word Documents • Current System: • Excel Spreadsheets • Used in all MHSA Components • Data is copied into spreadsheets per activity and then compiled into a master for demographics • Future System: • Standardized Satisfaction Surveys • Master sheet for like measures (YOQ, Eyberg, etc.) • Expectation of Validated/Cultural Driven Tools

  4. Interface to data system Process of data collection: • Completed by Provider (county or contractor) • Electronically sent to County Liaison • Merged into Master Spreadsheet Uses of data: • County Evaluation Team • Community Planning Process • EQRO and other audits

  5. Content of data reports Based on 3 Quadrant Model • What/How much do we do? • How well do we do it? • Is anyone better off? Did we make a difference?

  6. Content of data reports • Quadrant 1- Demographics and Contract Requirements • Unduplicated served • Age Groups • Ethnicity • Primary Language • Gender • Veteran/Active Military • Contract Requirements • Quadrant 2 • Satisfaction Survey • Completion of Services • Quadrant 3 • Measurable outcome (at least one)

  7. Outcomes Is anyone better off? Did we make a difference? • Customized to each activity • Fidelity expected with EBP • Provider holds the hard/individual data • Provider provides the evaluation of the data • Reports change scores/data Limitations • Lack of funding for evaluation • Lack of research and evaluation experience by providers

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