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Guiding Community Planning and Evaluation Efforts in Tobacco Control Using Data on Smoking During Pregnancy Vanessa Newburn Patrick Remington Paul Peppard University of Wisconsin Population Health Program, Madison, WI
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Objectives Describe a method: –Model progress in using local data –Set objectives which account for local variation Illustrate the method: –Birth certificate data from Wisconsin Recommendation: –Set objectives be set as a percent less than predicted prevalence
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Background Community-based programs are critical Few methods are available to guide local planning and evaluation efforts which: –Account for local variation –Can be systematically applied across communities US Birth Certificates are a useful source of local data
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Methods Analysis Using Local Data: –Calculate prevalence of smoking by year –Model historical trends in prevalence –Predict prevalence in a future year –Set objective as a percent less than predicted Data (for illustration): –Wisconsin Standard Birth Certificates, 1990-2000
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How to Model Local Trends Model: –Linear regression of log-prevalence on year Decreasing rates of change over time Avoids predicting negative future prevalence –Use slope to calculate Relative Annual Percent Change in Prevalence (100*(e m -1)) Constant percent change from year to year Describes progress over time
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Model for the State--1 Percent smokers 3.3% per year relative decline
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Model for the State--2 Percent smokers 3.3% per year relative decline
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Model for the State--3 Percent smokers Current State Objective 20% less than predicted
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Variation Across Counties
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Model for a County Kenosha County Percent Smokers 5.3% per year relative decline
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Model for a County Kenosha CountyWaukesha County Percent Smokers 5.3% per year relative decline 5.1% per year relative decline
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County Objectives Kenosha CountyWaukesha County Percent Smokers 20% less than predicted 20% less than observed
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Model for a County Percent Smokers Shawano CountyOutagamie County Percent Smokers 0.5% per year relative increase 0.6% per year relative decline
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County Objectives Percent Smokers Shawano CountyOutagamie County Percent Smokers 20% less than predicted 20% less than observed 20% less than predicted
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Variation in Observed Prevalence Across Counties (n=72) in WI WK KE SH ST OU County prevalence of smoking during pregnancy, 2000 (%) No. of Counties
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Distribution of Relative Annual Percent Change in Prevalence ST KE WK OU SH No. of Counties Relative Annual Percent Change in Prevalence
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Limitations of Birth Certificates Collects data on smoking in most but not all states Data on women whose pregnancies result in live birth Underestimates prevalence (self-report bias) Link with overall smoking prevalence still being made
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Application to Evaluation Within Communities: –Reflect on past progress –Set challenging objectives –Evaluate the impact of new efforts Across Communities: –Comparisons can be made if data is consistent across jurisdictions
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Summary of Results Substantial local variation exists: –Prevalence –Rates of change in prevalence –Local objectives should reflect variation Current methods for setting objectives are inadequate at the local level: –In WI, ¼ of counties & the State are expected to meet 20% less than observed rate (2000)
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Recommendations Use local data to model local trends –Data: birth certificates –Analysis: linear regression models of trends in prevalence –Predict future prevalence Set objectives as a percent less than predicted
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Acknowledgments Wisconsin Department of Health and Family Services –Kate Kvale, Randy Glysch Monitoring and Evaluation Program –Ann Christiansen, David Ahrens Wisconsin Tobacco Control Board Funding: Agency for Healthcare Research and Quality grant 5 T32 HS00083
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Trends in Per Capita Cigarette Sales, Wisconsin and Arkansas, 1950-2000 AR WI
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Trends in Per Capita Cigarette Sales, Wisconsin, 1950-2000 CA WI AR US
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Trailer slide 24 slides x 1 set = 24 total slides Erich Mussak (265-9931) 1 set out of 1 in order Monitoring and Evaluation Program (WTCB)
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