A Tailoring Algorithm to Optimize Behavior Change

Effective computerized tailoring can enhance the impact of health interventions. Long-term success rates can be improved with prospective tailoring that builds on evidence-based research. A new algorithm, developed with data from smoking cessation clinical trials and published practice guidelines, is designed to predict the likelihood of abstinence. The algorithm prioritizes the content of a stop-smoking intervention individually for each user and indicates the potential effect of utilizing various stop-smoking medications and stop-smoking approaches. Thus, it has the potential to guide a smoker through the cessation process by dynamically optimizing the likelihood of success. Importantly, the algorithm predicts that even a daily smoker may be able to substantially improve the likelihood of quitting and staying quit both by using stop-smoking techniques and medications and by addressing emotional and cognitive issues that sustain smoking.

[1]  Juliann Cortese,et al.  Computer-tailored health interventions delivered over the Web: review and analysis of key components. , 2009, Patient education and counseling.

[2]  H. Javitz,et al.  Bupropion SR and counseling for smoking cessation in actual practice: predictors of outcome. , 2003, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[3]  Sheldon Cohen.  Perceived stress in a probability sample of the United States , 1988 .

[4]  Noelle Robertson,et al.  Tailored interventions to overcome identified barriers to change: effects on professional practice and health care outcomes. , 2010, The Cochrane database of systematic reviews.

[5]  Shmuel Reis,et al.  Developing Evidence for How to Tailor Medical Interventions for the Individual Patient , 2010, Qualitative health research.

[6]  S. Flottorp,et al.  Tailored interventions to overcome identified barriers to change: effects on professional practice and health care outcomes. , 2005, The Cochrane database of systematic reviews.

[7]  R. Glasgow,et al.  The delivery of public health interventions via the Internet: actualizing their potential. , 2009, Annual review of public health.

[8]  D. Schroeder,et al.  Residential treatment compared with outpatient treatment for tobacco use and dependence. , 2011, Mayo Clinic proceedings.

[9]  Christina N. Lessov-Schlaggar,et al.  Association of tobacco dependence and quit attempt duration with Rasch-modeled withdrawal sensitivity using retrospective measures. , 2009, Addiction.

[10]  M. Fiore,et al.  Treating tobacco use and dependence: 2008 update U.S. Public Health Service Clinical Practice Guideline executive summary. , 2008, Respiratory care.

[11]  James O Prochaska,et al.  Stages of change. , 2011, Journal of clinical psychology.

[12]  S. Noar,et al.  Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. , 2007, Psychological bulletin.

[13]  G. Swan,et al.  Outcomes from a patient-centered residential treatment plan for tobacco dependence. , 2013, Mayo Clinic proceedings.

[14]  I. Ajzen,et al.  Predicting and Changing Behavior: The Reasoned Action Approach , 2009 .

[15]  Mc Fiore,et al.  Treating Tobacco Use and Dependence , 2000 .

[16]  M. Fiore,et al.  Treating tobacco use and dependence: an evidence-based clinical practice guideline for tobacco cessation. , 2002, Chest.

[17]  S. Mattke,et al.  A review of methods to measure health-related productivity loss. , 2007, The American journal of managed care.

[18]  Megan E. Piper,et al.  New Methods for Tobacco Dependence Treatment Research , 2011, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[19]  L. Tanoue.  Quitting Smoking Among Adults — United States, 2001–2010 , 2012 .

[20]  J. Prochaska,et al.  A meta-analysis of computer-tailored interventions for health behavior change. , 2010, Preventive medicine.

[21]  Madison,et al.  Quitting Smoking Among Adults — United States, 2001–2010 , 2012 .

[22]  H. Javitz,et al.  Effectiveness of Bupropion Sustained Release for Smoking Cessation in a Health Care Setting: A Randomized Trial , 2003 .

[23]  L. Collins,et al.  Erratum to: New Methods for Tobacco Dependence Treatment Research , 2011 .

[24]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[25]  H. Javitz,et al.  Behavioral counseling and varenicline treatment for smoking cessation. , 2010, American journal of preventive medicine.

[26]  Lorien C Abroms,et al.  iPhone apps for smoking cessation: a content analysis. , 2011, American journal of preventive medicine.

[27]  Dallas Swendeman,et al.  Disruptive innovations for designing and diffusing evidence-based interventions. , 2012, The American psychologist.

[28]  K. Glanz,et al.  The role of behavioral science theory in development and implementation of public health interventions. , 2010, Annual review of public health.

[29]  Josue P. Keely,et al.  Shape of the relapse curve and long-term abstinence among untreated smokers. , 2004, Addiction.

[30]  D. Mozaffarian,et al.  The Preventable Causes of Death in the United States: Comparative Risk Assessment of Dietary, Lifestyle, and Metabolic Risk Factors , 2009, PLoS medicine.