Q1: Why Is Data Analysis Important? Frequently Asked Questions and Answers on BRFSS Data Analysis and Methods. Q2: How Reliable Are BRFSS Data?
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1 Frequently Asked Questions and Answers on BRFSS Data Analysis and Methods BRFSS Epidemiologists and Staff Division of Behavioral Surveillance PHSIPO, OSELS, CDC Q1: Why Is Data Analysis Important? A1. The goal is to transform data into information, and information into insight. (Carly Fiorina, HP CEO) 5/7/ Q2: How Reliable Are BRFSS Data? A2. Results are consistent in prevalence estimates of key health indicators of similar caliber between BRFSS and other national surveys. 5/7/ /7/ Q3. Who Uses BRFSS Data? State and Local Health Departments CDC Academic Researchers Health Professionals Nonprofit Organizations Insurance Companies Managed Care Organizations Students The Media The Military 5/7/ /7/ CARRFS e-learning webinar 1
2 BRFSS by the States BRFSS Annual Report BRFSS by the States BRFSS Newsletter (News Brief) 5/7/ /7/ BRFSS by the States BRFSS, 1985 BRFSS Reports on Special Topics 5/7/ /7/ BRFSS, 1986 BRFSS, /7/ /7/ CARRFS e-learning webinar 2
3 BRFSS, 1988 BRFSS, /7/ /7/ BRFSS, 1990 BRFSS, % 19% 5/7/ /7/ BRFSS, 1992 BRFSS, % 19% 15% 19% 5/7/ /7/ CARRFS e-learning webinar 3
4 BRFSS, 1994 BRFSS, % 19% 15% 19% 5/7/ /7/ BRFSS, 1996 BRFSS, % 19% 15% 19% 20% 5/7/ /7/ BRFSS, 1998 BRFSS, % 19% 20% 15% 19% 20% 5/7/ /7/ CARRFS e-learning webinar 4
5 BRFSS, 2000 BRFSS, % 19% 20% 15% 19% 20% 24% 25% 5/7/ /7/ BRFSS, 2002 BRFSS, % 19% 20% 24% 25% 15% 19% 20% 24% 25% 5/7/ /7/ BRFSS, 2004 BRFSS, % 19% 20% 24% 25% 15% 19% 20% 24% 25% 29% 30% 5/7/ /7/ CARRFS e-learning webinar 5
6 BRFSS, 2006 BRFSS, % 19% 20% 24% 25% 29% 30% 15% 19% 20% 24% 25% 29% 30% 5/7/ /7/ BRFSS, 2008 BRFSS, % 19% 20% 24% 25% 29% 30% 15% 19% 20% 24% 25% 29% 30% 5/7/ /7/ BRFSS by CDC Healthy People 2010 and 2020 HP 2010 Objectives Tracked by BRFSS Risk Factors Binge drinking Smoking Physical inactivity Use of Preventive Services Immunization Cancer screening Cholesterol screening Health Care Access Health insurance Personal health care provider Health Conditions Diabetes Obesity High blood pressure 5/7/ /7/ CARRFS e-learning webinar 6
7 BRFSS by CDC Morbidity and Mortality Weekly Report The MMWR series is prepared by CDC. Often called the voice of CDC. In the past 10 years, about 7% of reports published in MMWR used BRFSS data (both from CDC and states). Topics include surveillance summary reports, trends in prevalence, vital signs, and many other analyses. MMWR 5/7/ /7/ Publications From 1987 to 2010: a total of 1,450 papers published using BRFSS data (PubMed: BRFSS or Behavioral Risk Factor Surveillance System on title or abstract). From 1987 to 2010: 1743 papers used or mentioned BRFSS data (PubMed: all fields). 5/7/ /7/ BRFSS by CDC BRFSS Annual Conference Popular Media 5/7/ /7/ CARRFS e-learning webinar 7
8 Q4: Why Is Sample Weight Needed in Data Analysis? A4. To account for the complex survey design and produce accurate estimates. Q5: Are Sample Weights Readjusted When Combined Many Years of Data? A5. It may be better to re-calculate the sample weights (weight divided by number of years). However, it may not be needed for trend analysis. 5/7/ /7/ Q6: Why is age-adjustment needed even sample weight has been used? A6. Sample weight is used to represent the target population. Age-adjustment is used to control for the possible confounding effect of age. Q7: What standard population is recommended for age-adjustment? A projected U.S. population is recommended (Klein RJ, Schoenborn CA. Statistical Notes, No. 20, 2001). 5/7/ /7/ Q8: Can I make up my own age distribution? A8. Yes. You can collapse age groups according to your data. Q9: What statistical software programs are used in BRFSS data analysis? A9. SUDAAN>SAS SURVEY PROCEDURES, SPSS SURVEY PACKAGE, STATA SURVEY MODULE. 5/7/ /7/ CARRFS e-learning webinar 8
9 Q10: Do SUDAAN and SAS produce identical estimates? A10. Yes, when there is no single sample unit or PSU in a stage or stratum. Q11: Is direct ageadjustment the same as predictive marginal? A11. PM is equivalent to direct ageadjustment in the saturated model (i.e. include all-way interaction terms). 5/7/ /7/ Q12: How to estimate prevalence ratios? A12. In SUDAAN: Loglink, or rlogistic with adjrr option in the predmarg statement; In SAS: proc gemod (dist=poisson, link=log). Thank You! For further questions, comments, and suggestions: Chaoyang Li (404) ; cli@cdc.gov 1600 Clifton Road NE, MS E97 Atlanta, GA 30333, USA 5/7/ /7/ CARRFS e-learning webinar 9
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