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Howell Wechsler, EdD, MPHDirector, Division of Adolescent and School Health
Healthy Maine Partnerships Annual MeetingAugusta ME, January 20, 2011
Using Data and Success Stories
National Center for Chronic Disease Prevention and Health Promotion
Division of Adolescent and School Health
Overview• DATA
– Purposes
– Sources
– Presentation
• SUCCESS STORIES
− Purposes
− Components
− Identifying Successes
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
“Without data you are just a schmuck with an opinion.”Alan Greenspan,Former Chair of theU.S. Federal Reserve
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
Dissemination of YRBS DataTraining Materials
Fact Sheets
Summary Reports
Websites
Data Release Event
Brochures
Newsletters
Combination Reports
Special Reports
Posters
Presenting Data So That You Get Attention
• Describing a problem
• Comparing different locations
• Showing trends over time
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 suicide1 (7.9%)
Smoked cigarettes2 (18.1%)
Used marijuana2 (20.5%)
Had been in a physical fight1 (22.8%)Had at least one drink of alcohol2
(32.2%)Had ever had sexual intercourse (46.0%)Did not eat enough fruit3 (70.9%)
Did not get enough physical activity3 (82.1%)
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 31 in 3
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:
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
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%
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
66
66
73
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
41.926.7
11.511.3
7.8
16.816.1
13.3
10.19.4
8.7
7.05.95.9
5.14.5
0 5 10 15 20 25 30 35 40 45
United StatesUnited Kingdom
PortugalAustralia (2004)
CanadaSpain
GreeceGermanyFinlandNorwayFrance
ItalySweden
DenmarkJapan
SwitzerlandNetherlands
Percentage of U.S. Children and Adolescents Who Were Obese, 1963-
2008*
Ages 6-11 Ages 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
Obesity Trends* Among U.S. AdultsBRFSS, 1990
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14%
Obesity Trends* Among U.S. AdultsBRFSS, 1991
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%-14% 15%-19%
Obesity Trends* Among U.S. AdultsBRFSS, 1992
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19%
Obesity Trends* Among U.S. AdultsBRFSS, 1993
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%-14% 15%-19%
Obesity Trends* Among U.S. AdultsBRFSS, 1994
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%-14% 15%-19%
Obesity Trends* Among U.S. AdultsBRFSS, 1995
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19%
Obesity Trends* Among U.S. AdultsBRFSS, 1996
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19%
Obesity Trends* Among U.S. AdultsBRFSS, 1997
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data < 10 % 10%-14%
15%-19% ≥ 20%
Obesity Trends* Among U.S. AdultsBRFSS, 1998
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data < 10 % 10%-14%
15%-19% ≥ 20%
Obesity Trends* Among U.S. AdultsBRFSS, 1999
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data < 10 % 10%-14%
15%-19% ≥ 20%
Obesity Trends* Among U.S. AdultsBRFSS, 2000
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data < 10 % 10%-14%
15%-19% ≥ 20%
Obesity Trends* Among U.S. AdultsBRFSS, 2001
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10%
10%-14% 15%-19% 20%-24% ≥25%
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
Obesity Trends* Among U.S. AdultsBRFSS, 2002
No Data <10%
10%-14% 15%-19% 20%-24% ≥25%
Obesity Trends* Among U.S. AdultsBRFSS, 2003
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10%
10%-14% 15%-19% 20%-24% ≥25%
Obesity Trends* Among U.S. AdultsBRFSS, 2004
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10%
10%-14% 15%-19% 20%-24% ≥25%
Obesity Trends* Among U.S. AdultsBRFSS, 2005
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10%
10%-14% 15%-19% 20%-24% 25%-29% 30%
Obesity Trends* Among U.S. AdultsBRFSS, 2006
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10%
10%-14% 15%-19% 20%-24% 25%-29% 30%
Obesity Trends* Among U.S. AdultsBRFSS, 2007
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10%
10%-14% 15%-19% 20%-24% 25%-29% 30%
Obesity Trends* Among U.S. AdultsBRFSS, 2008
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10%
10%-14% 15%-19% 20%-24% 25%-29% 30%
1999
Obesity Trends* Among U.S. AdultsBRFSS, 1990, 1999, 2008
2008
1990
No Data <10%
10%-14% 15%-19% 20%-24% 25%-29% 30%
http://www.flixxy.com/200-countries-200-years-4-minutes.htm
• A brief (1-2 page) narrative that describes the achievements and progress of a program/activity
• Three basic sections 1. Problem overview2. Program/ activity description3. Program/ activity outcomes
DASH Definition of a Success Story
• 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?
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
Distinguish Compelling Outcomes from Activities &
OutputsActivity: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
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
ACTIVITYIdentifying 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
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?
• 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