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David B. Abrams Ph.D. Director Office of Behavioral and Social Sciences Research, OBSSR National Institutes of Health AbramsD @ od.nih.gov http://obssr.od.nih.gov SYSTEMS THINKING TO INCREASE DEMAND & REDUCE PREVALENCE
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Never Smoked Current Smoker Ex Smoker Initiation Rate Cessation Rate Source: Levy, Cummings & Hyland (2000). Am. Jnl. Public Health, 90 (8), 1311-1314 Relapse Rate DISABILITY AND DISEASE BURDEN Population Model of Tobacco Prevalence
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Never Smoked Current Smoker Ex Smoker Initiation Rate Cessation Rate Source: Levy, D., Cummings & Hyland 2000 AJPH, 90 (8), 1311-1314 Relapse Rate DISEASE BURDEN Population Model of Tobacco Prevalence Tobacco Industry PUSH Public Health counter PUSH - -- + + + +
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High Low Reach Effectiveness-Cost Individual Counseling CLINIC Group Program Self- change Educational Pamphlets Self-help guides Brief Counseling Efficiency Population IMPACT of Stepped-Care Model Behavioral Stepped Care PLUS PHARMACOTHERAPY Plus Tailored Mass Customization
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IMPACT = REACH (use) x EFFICACY public health impact = R X E * Fidelity EFFICIENCY = IMPACT / COST Dissemination to Populations Abrams et al. (1996). A Combined Stepped-Care and Matching Model. Annals of Behavioral Medicine. Glasgow et al (1999) RE AIM model.
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Source: Figure 7.1, Curbing the Epidemic: Governments and the Economics of Tobacco Control, World Bank, 1999. Cessation to Reduce Death and Disease
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Probability of Initiation
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Simulated Effects of Initiation Reductions on Number (#) of Smokers (millions) and Smoking Prevalence Rates (%) 1993 20032023 100% Reduction(# smokers) % of smokers Status quo (# smokers) % of smokers 50% Reduction (# smokers) % of smokers 50% Reduction + 25% delayed initiation % of smokers 48.1 19.0% 48.1 19.0% 48.1 19.0% 48.1 19.0% 47.8 17.6% 44.1 16.4% 40.5 15.0% 42.5 15.7% 43.6 15.7% 35.5 12.5% 25.9 9.0% 30.7 10.7% Source Levy, Cummings & Hyland. 2000 AJPH, 90 (8), 1311-1314
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% of Daily Smokers Making Quit Attempts Quit attempt every 2 ½ - 3 yrs
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How Successful are Cessation Efforts? 47% try to quit 41% report trying to quit, abstain for 24 h+ 13% of quit efforts don’t last 24 h (Garvey), so 2.5% of smokers quit permanently Quit rate = ~5% Biochemically verified studies suggest unaided quit rate <3%
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smoking heroin alcohol
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Interest in Quitting & Intention to Quit Quitting “interest” is high (~70%), but abstract Near-term quitting intentions are much lower ~ 50% of those planning an attempt actually make one Interest is often static Lights survey, 1999
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Uses/year: Rough estimates of magnitude Utilization of Quit Methods
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Smokers 28% Attempt to quit 18% use treatment10% unaided 9% buy NRT OTC6% use prescription only3% use a smokers’ clinic 0.6% 0.5% 10% 20%5% 0.9% 2.6% stop smoking + ++ = Success rates Smoking cessation in England, 2003 Prof Robert West, robert.west@ucl.ac.uk
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Status of Cessation Treatment and Goals for Change Efficacy/Supply/ Access LowHigh Demand LowPresent HighGoal
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Estimated Efficacy and Utilization of Approaches to Smoking Cessation EFFICACY REACH IMPACT (% quit at (# using method (total # 6 months) annually) quitters) None (unaided) 3 22,800,000 684,000 Internet mass customize 12 7,000,000 840,000 Rx NRT (1995) 14 2,500,000 350,000 OTC NRT (1996) 14 6,300,000 882,000 Behavioral counseling 24 395,000 94,800 Inpatient treatment 32 500 160 Adapted from Shiffman et al. (1998). Annual Review of Public Health.
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5000 4000 3000 1000 2000 0 Number Great Depression End of WW 2 1st Surgeon General’s Report 1st. World Conference on Smoking and Health Broadcast Ad Ban 1st Great American Smoke-out Nicotine Medications Available Over the Counter Master Settlement Agreement 1st Smoking Cancer Concern Federal Cigarette Tax Doubles Surgeon General’s Report on Environmental Tobacco Smoke 19001910192019301940195019701960 199819901980 Year Sources: United States Department of Agriculture; Surgeon General’s Reports. Annual adult per capita cigarette consumption and major smoking and health events - United States, 1900-2000 Fairness Doctrine Messages on TV and Radio
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Trends in Per Capita Consumption of Various Tobacco Products – United States, 1880-2000 Source: Tobacco Situation and Outlook Report, U.S. Department of Agriculture, U.S. Census Note:Among persons >18 years old. Beginning in 1982, fine-cut chewing tobacco was reclassified as snuff.
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Greater Than the Sum The ISIS Project: Strategic Systems Thinking in Tobacco Control
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Why ISIS? Build on belief that quantum improvements in tobacco-related health outcomes require a systems approach Build on systems work in private sector, defense, other areas Seek new ways to link research and practice Address fundamental organizational issues in tobacco control and public health
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Tobacco Control at a Crossroads A diverse federation of stakeholders: research, practice, advocacy, funding, government, etc. Fits classic epidemiological model: Agent: Tobacco products Host: Smokers and affected parties Vector: For-profit tobacco industry Environment: Context in which ahv operates These factors behave as a system.
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What If? We could model which interventions will work, and which will succumb to countervailing forces? Our research agenda was informed by best practices in the field? We had global visibility and collaboration among stakeholders? We could build a consistent, evolving evidence base?
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Managing Systems: How We Organize Re-examining the traditional management paradigm People as process: harnessing the power of a participatory, collaborative, transorganizational environment From discrete to continuous evaluation Participatory mixed methods approaches: concept mapping, other methodologies
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Concept Mapping Example: Local Strength of Tobacco Control “One specific component of a strong tobacco control program is…”
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Systems Methods: How We Anticipate Change From simple cause-and-effect models to the complexity of the real world Simulation of real behavior, including feedback, evolution, and unintended consequences Broad continuum spanning qualitative and quantitative approaches Future directions: chaos and complexity theory, simultaneous equations, others
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Causal Map of Factors in Tobacco Prevalence and Consumption
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“Shard” of Causal Map
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Formal Systems Model: Public Opinion Public Supporters of Tobacco Control Public Supporters of Tobacco Public support to Undecided Undecided to Dissenting Dissenting to Undecided Undecided to Supporting Fraction of anti-tobacco becoming undecided per year Fraction of undecided becoming pro-tobacco per year Fraction of undecided becoming Pro-control per year Fraction of pro-tobacco becoming undecided per year Public Undecided
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Aging Chain Simulation: Effect of Public Opinion on Quit Rate Base ReferenceMode Adj quit effect 10 7.5 5 2.5 0 0510 Public Opinion Adult Quit Rates
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Synthesis: Pulling It All Together Trends in both tobacco control strategy and methodology have evolved in a systems direction. Systems thinking has evidenced itself in recent and current tobacco control efforts. Considerable methodological synergies exist between the four ISIS approaches. Trends point toward an integrated systems thinking environment.
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The Goal: An Integrated Systems Thinking Environment
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Develop and Apply Systems Methods and Processes Encourage systems thinking theory and research development Foster mixed-methods systems thinking Conduct participatory systems needs assessments Encourage an ecological perspective on implementation Foster systems evaluation
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Build and Maintain Network Relationships Create multijurisdictional/multilevel networks of networks for systems thinking and action Study the networks of networks to determine their effects Encourage transdisciplinarity
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Summary Tobacco control has become a complex, adaptive environment. Systems approaches represent a major hope for substantial future change in health outcomes. This trend mirrors fundamental changes in how we solve problems within a society as a whole. We seek integrated systems thinking within tobacco control, not just an implementation of system techniques.
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Population model of tobacco interventions over time Interventions must be comprehensive - at individual and group or “systems” levels to make an impact on disease Population Impact requires broad reach x effective intervention / per unit cost = efficiency A Stepped-care model distributes a range of evidence-based interventions efficiently from least to most intensive A substantial, sustained commitment of resources is needed to make an impact on reducing population prevalence, associated disease burden and costs. To benefit society as a whole will take time (decades) but will be the best long term investment
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