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Deanna E. White, Adam Stevens, John Barbaro , Kristy McGill and Lynne Russell

Deanna E. White, Adam Stevens, John Barbaro , Kristy McGill and Lynne Russell.  What is RRFSS . Surveillance System. Rapid. Risk Factor. Key Public Health Issues.  Able to Monitor . Family History. Obesity. Hypertension. Diabetes. Smoking. to New Public Health Issues .

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Deanna E. White, Adam Stevens, John Barbaro , Kristy McGill and Lynne Russell

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  1. Deanna E. White, Adam Stevens, John Barbaro, Kristy McGill and Lynne Russell

  2. What isRRFSS  SurveillanceSystem Rapid Risk Factor

  3. Key Public Health Issues Able to Monitor  Family History Obesity Hypertension Diabetes Smoking

  4. to New Public Health Issues Adaptable 

  5. Local 

  6. Timely 

  7. To support program planning and evaluation To advocate for public policy development To improve community awareness of risks for CDs, IDs and injuries How Can We Use RRFSS? 

  8. Who Can Join RRFSS?  Any Public Health Unit in Ontario … but thereis a cost.

  9. There are three 4-month data cyclesper year. When is the  Survey Conducted?

  10. How is Data Collected  • Institute for Social Research (ISR) at York University

  11. How Long is the Survey? 

  12. How is the Questionnaire  Organized?

  13. Decided annually by all participating HUs • Asked for at least one year • May rotate alternating years • Mandatory – CANNOT opt out of these TOBACCO USE AGE SEX BMI INCOME

  14. Selected by each HU individually • Can add or delete each cycle

  15. What are some of  the Topics/Modules? See QMap Your Turn! Are there any topics you would be interested in? Please circle the topic.

  16. Must We Use the  Entire Module? But … • Must start at the beginning of a module • Cannot jump back in once stopped No

  17. Can We Develop  Modules? but you must followa process: • Complete Module Submission Request Form • Should be applicable to multiple PHUs • Can work with your own if no other PHU interested Yes

  18. How to Choose Optional  • Align with health unit’s data needs • Measure the variable over time(decrease in chronic disease prevalence?) • Data is not available from other data sources(use and awareness of parenting programs)

  19. What is the Sample Size?  400 4 1,200 interviews/HU Cycles/year interviews/year RRFSS has a larger sample size than the CCHS in some PHUs.

  20. Who is Included  in the Sample? • 18 years of age and older • English or French speaking • Reside in private homes • With landline • some cell phone numbers were included

  21. Is the Sample Size Big Enough?

  22. Sampling Procedures  • Random selection of households – using random digit dialing • Random selection of respondent – household member with next birthday

  23. Household Weights  • Maximize ability to generalize the survey results (the sample) to the population • Probability of selection depends on size of household

  24. Household Weights  Size ofHousehold ChanceSelected Weight 1adult 100% Given weight of 1 2adults 50% Given weight of 2 3adults 33.3% Given weight of 3 This helps to prevent under-representation in larger households and over-representation in small households.

  25. Calculations were used to determine sample size for results to be generalizable So, is it Still  Representative?

  26. Is the Survey  Valid & Reliable? Yes! • Modeled on the Behavioural Risk Factor Surveillance System (BRFSS) conducted by the Centres for Disease Control and Prevention (CDC) in Atlanta • Many questions also taken from the CCHSand the National Population Health Survey(NPHS) • The original design was tested for reliability and validity

  27. How Do We Ensure  Accurate Results? • Confidence intervals & coefficient of variation

  28. The Confidence  Interval (CI) • How confident are we in the point estimate (i.e., value)? • E.g., 6% … (85% CI: 3% - 9%). What does 95% mean? • … based on probability.

  29. Probability 

  30. Probability 

  31. Probability 

  32. Significance Testing • Likely happened • The results are probable Statistically Significant • It could have happened by chance alone NOT Statistically Significant What does this have to do with the CI?

  33. Significance Testing • We use the CI to determine whether something is statistically significant. • If the CIs do not overlap than they are SS • Example: Percentage of females vs males who smoke:Females: 70% (60%-80%)Males: 30% (20%-40%) Your Turn! Please complete section one. Circle statistically significant statements.

  34. Coefficient of Variation • Refers to the precision of the estimate • Usually a result of small numbers (i.e., 2/800) • Interpret with caution presented with an *asterisk • An empty cell means the value is not precise(in fact, incorrect), so we cannotreport this number Your Turn! Please circle the asterisk in the table.

  35. RRFSS is Self-Reported?  Are there limitations to this?

  36. Distorted Perceptions

  37. Distorted Perceptions

  38. Hawthorne Effect In groups of two, please answer the following … How many times per day, week or month do you drink 100% fruit juices such as orange, grapefruit, or tomato juice? How often do YOU wear a seatbelt when YOU DRIVE a car, van or truck: Would you say, all of the time, most of the time, about 1/2 the time, less than 1/2 the time, or never or almost never?

  39. Memory Recall What is the total amount of time you spent sitting, last Wednesday? (hours & minutes)

  40. Sensitivity  In groups of two, please answer the following … What is your age? How much do you weigh? In your lifetime, have you Ever had suicidal thoughts? What is your yearly total Income (before taxes)?

  41. Self-Reported Measures

  42. What RRFSS Recall

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