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An Effective Youth School-based Surveillance Tool

Steve Manske, Ed.D. Suzy Wong, M.Sc. An Effective Youth School-based Surveillance Tool. KNOWLEDGE. INFORMATION. Differentiating Data, Information & Knowledge. disconnected facts about events (objective). Information in context or put into action (subjective).

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An Effective Youth School-based Surveillance Tool

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  1. Steve Manske, Ed.D. Suzy Wong, M.Sc. An Effective Youth School-based Surveillance Tool

  2. KNOWLEDGE INFORMATION Differentiating Data, Information & Knowledge • disconnected facts about events (objective) • Information in context or put into action (subjective) • data arranged in meaningful patterns DATA

  3. WORLD of EVIDENCE III. Create the Future III. Create the Future I. Build on Past Experience PRACTICE RESEARCH Resources & Recommendations II. Take Action in the Present II. Take Action in the Present

  4. Local Data Collection Systems • CBRPE & PHR at UW have developed a school-based data collection system • School Health Action, Planning and Evaluation System (SHAPES) • Designed to facilitate surveillance, evaluation and planning by school stakeholders and public health

  5. SHAPES • Modular system • Smoking • Physical activity • Each module has 3 components • Student questionnaire • Feedback report • Administrator questionnaire

  6. SHAPES Student Questionnaire

  7. SHAPES Feedback Report

  8. SHAPES Administrator Questionnaire • Completed by an administrator from each school: • School characteristics • Policies • Programs • Facilities (PA) • Enables multiples levels of data collection and analysis

  9. Key Features of SHAPES • Responsive questionnaire • Quality control • Simple and low cost • Knowledge exchange • Potential to compare across sites

  10. Reliability of the PA Module • One-week test-retest • N=1586 • Grades 9-12 • 13 secondary schools

  11. Reliability Results • Kappa was between 0.61-1.0 for 57% of the questions (substantial agreement) • Kappa was between 0.41-0.60 for 24% of the questions (fair agreement)

  12. Validity of the PA Module • Criterion validity • Physical activity by accelerometers • BMI by measured height and weight • N=56 • Grades 6, 7, 8, 10, 12 • 1 school

  13. Validity Results • Self-reported vs. accelerometer measured time spent doing moderate-to-vigorous intensity physical activity (r = 0.44, p < 0.01) • Self-reported vs. measured BMI (r = 0.90, p < 0.001)

  14. Current Uses of SHAPES in Ontario • SHAPES Ontario study (www.shapes.uwaterloo.ca) • 100+ high schools in 8 health unit regions • PA & smoking modules • Schools receive feedback reports • Health units receive data for their region • KE component to SHAPES Ontario • Creating “a community of practice” to build capacity to use school-based evidence

  15. Current uses of SHAPES - continued • Youth Smoking Survey (www.yss.uwaterloo.ca) • 2004-05; 2006-07 data collection in Ontario • Opportunities to analyze data & write reports (CDIC supplement) • Examples of how modules can be altered for specific groups • Lungs are for Life evaluation • exposé evaluation (City of Ottawa Health Dept) • 3-year follow-up of baseline data

  16. Next Steps in SHAPES Development • Future modules • Sun behaviour • Eating behaviour • School issues (e.g. bullying) • Interactive system to make data available to public health for local analysis • YSS 2007

  17. Other Ways to Get Involved • Canadian School Physical Activity and Nutrition Network (www.canspann.uwaterloo.ca) • Priorities for research determined by policy makers, practitioners and researchers • National scope • Population Interventions for Chronic Disease Prevention (www.picdp.uwaterloo.ca) • Sociobehavioural Cancer Research Network • Contact Steve Manske, manske@uwaterloo.ca

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