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An Introduction to the Minnesota Epidemiological Profile

An Introduction to the Minnesota Epidemiological Profile. Minnesota State Epidemiological Workgroup and Minnesota Institute of Public Health Fall Forums. Agenda. Introduction. What’s in the Profile?. Interpreting the Data. Activity and Discussion.

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An Introduction to the Minnesota Epidemiological Profile

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  1. An Introduction to the Minnesota Epidemiological Profile Minnesota State Epidemiological Workgroup and Minnesota Institute of Public Health Fall Forums

  2. Agenda Introduction What’s in the Profile? Interpreting the Data Activity and Discussion

  3. Purpose of Training By participating in today’s session, you will be better able to: • Describe the purpose, format and content of the MN Epi Profile • Describe how the MN Epi Profile fits with the Strategic Prevention Framework • Begin to use the MN Epi Profile to identify needs related to substance abuse prevention

  4. Strategic Prevention Framework (SPF)

  5. Assessment Needs Resources Readiness

  6. A Shift in Thinking “The statistical study of the distribution and determinants of disease in populations*.” *Source: www.mesotheliomafyi.com/glossary Epidemiology

  7. A Shift in Thinking Applying Epidemiology to Substance Abuse Prevention is a relatively new concept

  8. Ways to Use Data Prevention professionals can use data to proactively identify: • Substance use problems • Level of capacity to address those problems • Readiness of the community to implement prevention measures

  9. What does the profile provide? • Provides information about needs • SPF and the profile allow customized prevention

  10. Use of the MN Epi Profile How can the profile be used as a tool by prevention professionals at the state and community level?

  11. Agenda Introduction What’s in the Profile? Interpreting the Data Activity and Discussion

  12. What’s in the Profile? • Consumption • Consequences • Risk Factors Are Not Addressed Alcohol Tobacco Illicit Drugs Students reporting any use of alcohol in past 30 days Adults reporting smoking 100 cigarettes in lifetime & smoke everyday Percent of population reporting illicit drug use in past 30 days Consumption Impaired driving incidents per 1000 population Deaths from lung cancer per 1000 population Adult prison inmates in MN sentenced for drug offenses Consequence N/A N/A N/A Risk Factors

  13. Activity • Using the Profile and your yellow worksheet, look up the following data for your county and for the state: • 12th Grade Male and Female Binge Drinking (p.150) • 12th Grade Male and Female Drinking or Using Drugs and Driving (p. 152) • 12th Grade Male and Female Riding With Friends After Using Alcohol or Drugs (p. 154)

  14. Alcohol-Related Disease Impact Behavioral Risk Factor Surveillance System Fatality Analysis Reporting System MN Dept. of Corrections-Probation Survey and Inmate Profile Smoking-Attributable Mortality, Morbidity and Economic Costs Crash Facts and Minnesota Impaired Driving Facts Minnesota Dept. of Public Health-Human and Economic Cost of Alcohol Use Minnesota Student Survey National Survey on Drug Use and Health National Vital Statistics System Uniform Crime Reports Data Sources

  15. Census A census is a survey of an entire population

  16. Sample A sample is a subset of the population considered representative of groups of people to whom results can be generalized

  17. Surveys A questioning or canvassing of persons selected at random or by quota to obtain information or opinions to be analyzed

  18. Rates • A rate is the quantity, amount, or degree of something measured per unit of something else • A percentage is a type of rate

  19. “The Rate Trap” Page 60 Do the percentages add up to 100?

  20. Economic Cost Productivity Impacts Other Impacts Health Care Costs Alcohol Disorders Treatment, Prevention, Programs Loss of productivity due to alcohol-related illness Motor vehicle crashes

  21. Economic Cost in the Profile Page 194

  22. Costs of Motor Vehicle Crashes Page 192

  23. Agenda Introduction What’s in the Profile? Interpreting the Data Activity and Discussion

  24. Data Interpretation • Introduction to Basic Epidemiological Descriptors • Magnitude • Severity • Time Trends • Data interpretation and critical analysis

  25. Magnitude • How big is the problem? • How many people are affected? • Whatpercentage of the population is affected?

  26. MagnitudeBenefits and Limitations Magnitude • Good way to describe the problem Benefits • Percentages for small samples not useful • Raw counts may not tell the whole story when comparing large and small samples Limitations

  27. Magnitude Page 35 • Counts and Percentages in the Profile • Benefits • Limitations

  28. Magnitude • Using data to interpret magnitude • Subgroup data • Disparity and disproportion Page 25

  29. MagnitudeSubgroup Data Looking for possible targeted interventions within subgroups Page 47

  30. MagnitudeDisparity and Disproportion

  31. MagnitudeDisparity and Disproportion

  32. MagnitudeDisparity and Disproportion

  33. MagnitudeDisparity and Disproportion MethUsers Not much difference in the distributions. What does that tell us?

  34. Activity • Review Impaired Driving Handout Table 1.04 (blue worksheet) • Expect an even distribution of DUI arrests Sunday through Saturday • Disproportionate number of arrests Friday - Sunday • Ask why?

  35. Severity • How “bad” is the problem? • How does my community compare? • Comparison Ratios • Discussing meaningful differences and acceptable ratios

  36. SeverityBenefits and Limitations Severity • Good way to track how your community compares to state and national numbers Benefits • Meaningful differences and acceptable ratios are subjective concepts Limitations

  37. Comparison Page 96

  38. Comparison Page 148 Ratio = 66/ 46.4 = 1.4 Page 149 The ratio of Big Stone County : MN is 1.4

  39. Activity • Using the data you looked up earlier (yellow worksheet), calculate your local county ratios • Divide your county’s percentage by the statewide percentage to find the ratio County Percentage = Ratio State Percentage

  40. Good News…Bad News • “Our data is lower than the state’s, so we don’t have a problem!” • Keep looking at the data - what else does it show? • Use other data sources, maybe use recent local example

  41. Comparison • What is an acceptable comparison ratio? • What is a meaningful difference?

  42. Time Trends • Reading Time Series Graphs • Thinking Critically • “Environmental” Causes of Trends

  43. Time TrendsBenefits and Limitations Time Trends • Incorporates the element of time • Good for critical analysis of a community Benefits • Usefulness depends on amount of available data • Hard to evaluate interventions Limitations

  44. Time Trends Page 80

  45. Time Trends

  46. Time Trends

  47. Summary: Benefits and Limitations Magnitude Severity Time Trends • Good way to describe the problem • Good way to track how your community compares to state and national numbers • Incorporates the element of time • Good for critical analysis of a community Benefits • Percentages for small samples not useful • Raw counts may not tell the whole story when comparing large and small samples • Meaningful differences and acceptable ratios are subjective concepts • Usefulness depends on amount of available data • Hard to evaluate interventions Limitations

  48. Agenda Introduction What’s in the Profile? Interpreting the Data Activity and Discussion

  49. Data Interpretation Activity • Review and Discuss Information • Calculations • Critical Thinking • Sharing Information

  50. What’s Next • Profile Updates • Website • For more information contact your Regional Prevention Coordinator or the Minnesota Institute of Public Health

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