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State Epidemiological Data System (SEDS)

State Epidemiological Data System (SEDS). Center for Substance Abuse Prevention (CSAP) Alcohol, Tobacco and Illicit Drug Epidemiological Data Web Resource for SPF SIG State Epidemiological Workgroups. Needs Assessment: SEW Tasks. Establish SEW Structure

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State Epidemiological Data System (SEDS)

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  1. State Epidemiological Data System (SEDS) Center for Substance Abuse Prevention (CSAP)Alcohol, Tobacco and Illicit DrugEpidemiological Data Web Resource for SPF SIG State Epidemiological Workgroups

  2. Needs Assessment: SEW Tasks • Establish SEW Structure • Identify and select key constructs and indicators to assess burden of substance use in State • Establish a set of epidemiological dimensions for describing burden and define burden (Epi Profile) • Identify and apply criteria and process for defining priority problems

  3. CSAP SEDS Overview • Data system of State (and where available county) level data on alcohol, tobacco and illicit drug consequences and consumption • Available on the web Http://www.epidcc.samhsa.gov • Developed for use by the SPF State Epidemiological Workgroups

  4. Outcomes-Based Prevention Conceptual Framework for the Data System Substance-related consequences & Substance Use Risk and Protective Factors/ Causal Factors Programs/Policies/ Practices Strategic Prevention Framework Planning, Monitoring, Evaluation and Replanning

  5. Two Categories of Data • Consequences • Undesired health, social and safety consequences of substance use • Scientific evidence to support alcohol, tobacco or illicit drug as contributing factor to consequence (acknowledging multiple causes) • Consumption • Patterns of substance use • Frequency, quantity • High risk situations • High risk populations

  6. SEDS Development Process • Small group of technical experts • Identify key alcohol, tobacco and illicit drug related consequences and consumption patterns • For each consequence and consumption pattern, identify one or more indicators • For each indicator, identify one or more sources of data which meet a set of minimum standards

  7. Alcohol Consequences - Illustration

  8. Tobacco Consequences - Illustration

  9. Illicit Drug Consequences - Illustration

  10. Consumption (Examples)

  11. Criteria for Inclusion of Indicators • National source • Availability at the state level • Periodic collection over at least 3 to 5 past years • Validity • Consistency • Sensitivity

  12. Application of Criteria Implications and Issues • Some relevant data not available from national sources and/or at state level • e.g., alcohol use by pregnant women, morbidity (burns, falls) • Measurement issues preclude use of some indicators of acknowledged important substance related consequences • e.g., work problems • Imperfect applications • e.g., crime reports

  13. SEDS Data Organization • Constructs • Organized consumption patterns and consequences into grouping (constructs) • Indicators • Specific measure with definition and data source

  14. Constructs and Indicators (Example)

  15. Disaggregation by Demographics/Geography/Time • Age/Grade • Gender • Race/Ethnicity • State/County • Year

  16. Individual Indicator Sheets

  17. Use By States • Variation in need to access data • Additional data may be available in States • Of additional constructs, across time, for sub-state units • If data is added, consider…. • Placement in outcomes-based prevention model • Consequence with scientific evidence to support alcohol, tobacco or illicit drug as contributing factor • Substance use behavior • Meet criteria for validity, consistency, periodicity and sensitivity

  18. Data Constructs/Indicators: Steps • Establish constructs • Establish criteria for selecting indicators • Choose indicators • Organize indicators to show relationships by construct

  19. Constructs/Indicators: Lessons Learned • Start with what you want to know. Start with constructs rather than sources. • Time constraints, clarity • Establish set of measurement criteria for choosing indicators • Problem indicators vs. response indicators • Focus on choosing key constructs and indicators • Data quantity and limits to abilities to absorb • Ongoing monitoring has cost constraints • Sentinel indicators exist

  20. Constructs/Indicators: Lessons Learned • Create an organizational framework to look at your data • Create sequential plan for examining the data • Start with consequences….then look at consumption • Keep expected relationships in mind and seek to understand them. Organize your data to reflect these relationships • Keep your various goals separate…don’t drop data that doesn’t fit ‘all’ needs • Be transparent and track your data selection decisions (People change/Processes continue)

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