2. Howell Wechsler, EdD, MPH Director, Division of Adolescent and School Health Healthy Maine Partnerships Annual Meeting Augusta ME, January 20, 2011 Using Data and Success Stories National Center for Chronic Disease Prevention and Health Promotion Division of Adolescent and School Health

3. Overview DATA – Purposes – Sources – Presentation SUCCESS STORIES − Purposes −Components −Identifying Successes

4. Identify 5 Ways We Can Use Data to Support Health Promotion Programs Focus attention on a problem Compare results in different locations Plan programs and monitor progress over time Guide curriculum and professional development Support proposed policies and legislation Seek funding

5. “Without data you are just a schmuck with an opinion.” Alan Greenspan, Former Chair of the U.S. Federal Reserve

6. Identify 5 Sources of Data That You Might Use Student Surveys School Health Profiles Census Vital Statistics School Policy Database Agency Reports Event participant evaluations

7. Presenting Data So That You Get Attention

8. Dissemination of YRBS Data Training Materials Fact Sheets Summary Reports Websites Data Release Event Brochures Newsletters Combination Reports Special Reports Posters

9. Presenting Data So That You Get Attention Describing a problem Comparing different locations Showing trends over time

10. Number of students in a high school class of 30 who: Maine Youth Risk Behavior Survey, 2009 Source: Maine Youth Risk Behavior Survey 1 - During the past 12 months; 2 – During the past 30 days; 3 – During the past week 2 5 6 7 10 14 21 25 Attempted suicide 1 (7.9%) Smoked cigarettes 2 (18.1%) Used marijuana 2 (20.5%) Had been in a physical fight 1 (22.8%) Had at least one drink of alcohol 2 (32.2%) Had ever had sexual intercourse (46.0%) Did not eat enough fruit 3 (70.9%) Did not get enough physical activity 3 (82.1%)

11. will develop Diabetes during lifetime U. S. Children Born in 2000 Narayan KMV et al. Lifetime risk for diabetes mellitus in the United States. JAMA. 2003;290(14):1884 1 in 3

12. Consequences of Obesity in Children Freedman DS et al. JPediatr 2007;150(1):12-17 26% 13% % of children, aged 5-17, with 1 or more risk factors for heart disease: % of children, aged 5-17, with 2 or more risk factors for heart disease:

13. Consequences of Obesity in Children 26% 13% % of children, aged 5-17, with 1 or more risk factors for heart disease: % of children, aged 5-17, with 2 or more risk factors for heart disease: obese 70% obese 39% Freedman DS et al. JPediatr 2007;150(1):12-17

14. Percentage of Secondary Schools that Prohibited All Tobacco Use in All Locations* *Prohibited the use of all tobacco, including cigarettes, smokeless tobacco, cigars, and pipes; by students, faculty and school staff, and visitors; in school buildings; outside on school grounds; on school buses or other vehicles used to transport students; and at off-campus, school-sponsored events; during school hours and non-school hours. 18% - 41% 42% - 50% 51% - 58% 59% - 73% No Data School Health Profiles, 2008 MAINE: 59%

15. CDC, School Health Profiles, 2008 * Prohibited the use of all tobacco, including cigarettes, smokeless tobacco, cigars, and pipes; by students, faculty and school staff, and visitors; in school buildings, outside on school grounds, on school buses or other vehicles used to transport students, and at Percentage of Middle and High Schools That Prohibited All Tobacco Use in All Locations* — Selected States and Median Among 47 States, 2008 22 18 24 33 51 66 73

16. Teen Births Per 1,000 Females in U.S. and 16 Other Nations, 2006* *All birth rates are for 2006 unless otherwise noted; Source: United Nations Demographic Yearbook, 2006 3.8 41.9 26.7 11.5 11.3 7.8 16.8 16.1 13.3 10.1 9.4 8.7 7.0 5.9 5.1 4.5 051015202530354045 United States United Kingdom Portugal Australia (2004) Canada Spain Greece Germany Finland Norway France Italy Sweden Denmark Japan Switzerland Netherlands

17. Percentage of U.S. Children and Adolescents Who Were Obese, 1963-2008 * Ages 6-11Ages 12-19 4.2 4.6 *>95th percentile for BMI by age and sex based on 2000 CDC BMI-for-age growth charts. **1963-1970 data are from 1963-1965 for children 6-11 years of age and from 1966-1970 for adolescents 12-17 years of age. CDC, National Center for Health Statistics 19.6 18.1

18. Obesity Trends* Among U.S. Adults BRFSS, 1990 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14%

19. Obesity Trends* Among U.S. Adults BRFSS, 1991 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data<10%10%-14%15%-19%

20. Obesity Trends* Among U.S. Adults BRFSS, 1992 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19%

21. Obesity Trends* Among U.S. Adults BRFSS, 1993 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data<10%10%-14%15%-19%

22. Obesity Trends* Among U.S. Adults BRFSS, 1994 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data<10%10%-14%15%-19%

23. Obesity Trends* Among U.S. Adults BRFSS, 1995 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19%

24. Obesity Trends* Among U.S. Adults BRFSS, 1996 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19%

25. Obesity Trends* Among U.S. Adults BRFSS, 1997 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data< 10 %10%-14%15%-19%≥ 20%

26. Obesity Trends* Among U.S. Adults BRFSS, 1998 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data< 10 %10%-14%15%-19%≥ 20%

27. Obesity Trends* Among U.S. Adults BRFSS, 1999 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data< 10 %10%-14%15%-19%≥ 20%

28. Obesity Trends* Among U.S. Adults BRFSS, 2000 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data< 10 %10%-14%15%-19%≥ 20%

29. Obesity Trends* Among U.S. Adults BRFSS, 2001 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data<10%10%-14%15%-19%20%-24%≥25%

30. (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) Obesity Trends* Among U.S. Adults BRFSS, 2002 No Data<10%10%-14%15%-19%20%-24%≥25%

31. Obesity Trends* Among U.S. Adults BRFSS, 2003 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data<10%10%-14%15%-19%20%-24%≥25%

32. Obesity Trends* Among U.S. Adults BRFSS, 2004 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data<10%10%-14%15%-19%20%-24%≥25%

33. Obesity Trends* Among U.S. Adults BRFSS, 2005 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data<10%10%-14%15%-19%20%-24%25%-29%30%

34. Obesity Trends* Among U.S. Adults BRFSS, 2006 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data<10%10%-14%15%-19%20%-24%25%-29%30%

35. Obesity Trends* Among U.S. Adults BRFSS, 2007 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data<10%10%-14%15%-19%20%-24%25%-29%30%

36. Obesity Trends* Among U.S. Adults BRFSS, 2008 (*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person) No Data<10%10%-14%15%-19%20%-24%25%-29%30%

37. 1999 Obesity Trends* Among U.S. Adults BRFSS, 1990, 1999, 2008 2008 1990 No Data<10%10%-14%15%-19%20%-24%25%-29%30%

39. http://www.flixxy.com/200-countries-200-years-4-minutes.htm

40. What do you think of when you hear the phrase “success story”?

41. A brief (1-2 page) narrative that describes the achievements and progress of a program/activity Three basic sections 1.Problem overview 2.Program/ activity description 3.Program/ activity outcomes DASH Definition of a Success Story

42. Capture progress over time Educate decision makers about the outcome of your program Demonstrate responsible use of resources to stakeholders Share “best practices” with other similarly funded programs Attract new partners for collaboration Why Are Success Stories Important?

43. Components of a Compelling Success Story Problem overview – Describe problem and why it’s important (use data when available) – Specify affected populations Program/ activity – Outline steps taken to implement program – Identify who, what, when, and where – Link to funding source Documentation of outcomes – Clearly describe outcomes of program and associated impact – Provide context for why impact is important – Provides conclusion that effectively wraps up the story

44. Distinguish Compelling Outcomes from Activities & Outputs Activity: Hosted a symposium to provide policy guidance to school district teams Output: Fifty teams indicated on a post-training evaluation that they would likely use the information received to develop district policy Compelling Outcome: Twenty of the fifty district teams adopted a new (or strengthened an existing) tobacco-free school policy

45. Effectively Reaching Your Audience with Success Stories Identify your target audience Determine the needs or interests of your target audience Tailor your success story to meet their needs

46. ACTIVITY Identifying a Success Story Identify one success from your program that you would like to highlight in a success story – Keep in mind: Components of a Compelling Success Story Difference between Compelling Outcomes, Outputs, and Activities Target Audience Discuss with person sitting next to you

47. Group Discussion What is exciting about the stories you heard from your partner? Did you get information on all 3 components? Were you able to distinguish between activities, outputs, and outcomes? Were you able to explain the needs of a key target audience?

48. Distinguishing Outcomes from Program Activities and Outputs Activity

49. Discuss the following questions at your table – How have you communicated with decision makers? – What strategies have been the most effective for you in reaching this audience? – What lessons you would share with someone about communicating successes with a decision maker? Group Discussion: Communicating Success

50. Questions & Comments

51. Howell Wechsler, EdD, MPH Director, Division of Adolescent and School Health Healthy Maine Partnerships Annual Meeting Augusta ME, January 20, 2011 Using Data and Success Stories National Center for Chronic Disease Prevention and Health Promotion Division of Adolescent and School Health