Dissemination & Back Again: Developing a Research Methodology from Outcomes of a Community Prenatal Smoking Cessation Program Patricia Cluss, Ph.D. University of Pittsburgh School of Medicine/Psychiatry & the Pittsburgh STOP Program ReSET Roundtable January 27, 2009 Goals for Today
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Patricia Cluss, Ph.D.
University of Pittsburgh
School of Medicine/Psychiatry
& the Pittsburgh STOP Program
January 27, 2009
Source: National Center for Health Statistics
15-30% relapse during pregnancy
#1 in smoking during pregnancy
of any large US City*
Source: Annie E. Casey Fdn. Kids Count Special Report, 1999
Funding by: UPMC, March of Dimes, Tobacco Free Allegheny, PA DOH,
UPMC Health Plan, FISA Foundation
Sure you can’t/don’t want to quit, but
willing to think about cutting down?
Thinking about quitting, but not sure?
Ready to quit?
Originally built into the design as an evaluation measure to confirm self report of smoking status
Based on participant feedback, CO monitoring is now used as a program element to motivate change.CO Monitoring
Gestational Age confirm self report of smoking status
Average gestational age of baby at birth
Preterm birth = less than 38 weeks
Average gestational age at birth:
Quitters: 38 wks 3 da
Smokers: 37 wks 6 da
Birth Weight Status confirm self report of smoking status
Average birth weights:
Quitters: 6 lbs. 14oz
Smokers: 6 lbs. 8 oz.
*c2 =4.6, p=.04
Apgar scores by Smoking Outcomes confirm self report of smoking status
Neonatal Outcomes confirm self report of smoking status
by Smoking Status
Incentives: confirm self report of smoking status
Not reported as a motivator for quitting
May motivate attendance
Thus reducing drop out rate
May motivate quitting
Increasing quit rates
Decreasing relapse ratesIncentives & CO Monitoring:Guesses as to Mechanisms of Action