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Review

Tailored communications for smoking cessation: past successes and future directions

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Pages 49-57 | Received 01 Mar 2005, Accepted 01 Aug 2005, Published online: 12 Jul 2009

References

  • Velicer W F, DiClemente C C. Understanding and intervening with the total population of smokers. Tob Control 1993; 2: 95–96
  • Abrams D B, Orleans C T, Niaura R S, Goldstein M G, Prochaska J O, Velicer W F. Integrating individual and public health perspectives for treatment of tobacco dependence under managed health care: a combined step care and matching model. Ann Behav Med 1996; 18: 290–304
  • Science Panel on Interactive Communication and Health. Wired for health and well-being: the emergence of interactive health communication. US Department of Health and Human Services, US Government Printing Office, Washington, DC 1999
  • DeVries H, Brug J. Computer-tailored interventions motivating people to adopt health promoting behaviors: introduction to a new approach. Patient Educ Counsel 1999; 36: 99–105
  • Negotia U N. Expert systems and fuzzy systems. Benjamin, Menlo Park, CA 1985
  • Harman P, King D. Expert systems: artificial intelligence in business. John Wiley & Sons, New York 1985
  • Waterman D A. A guide to expert systems. Addison-Wesley, Redding, MA 1986
  • Prochaska J O, DiClemente C C, Norcross J C. In search of how people change: applications to addictive behavior. Am Psychol 1992; 47: 1102–1114
  • Prochaska J O, DiClemente C C. Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol 1983; 51: 390–395
  • Prochaska J O. Strong and weak principles for progressing from precontemplation to action on the basis of twelve problem behaviors. Health Psychol 1994; 13: 47–51
  • Velicer W F, Prochaska J O, Rossi J, DiClemente C C. A criterion measurement model for addictive behaviors. Addict Behav 1996; 21: 555–584
  • DiClemente C C, Prochaska J O, Fairhurst S, Velicer W F, Rossi J S, Velasquez M. The process of smoking cessation: an analysis of precontemplation, contemplation and contemplation/action. J Consult Clin Psychol 1991; 59: 295–304
  • Fava J L, Velicer W F, Prochaska J O. Applying the Transtheoretical Model to a representative sample of smokers. Addict Behav 1995; 20: 189–203
  • Prochaska J O, Redding C A, Evers K. The transtheoretical model and stages of change. Health behavior and health education: theory, research, and practice, 3rd edn, chapter 5, K Glanz, B K Rimer, F M Lewis. Jossey-Bass, Inc., San Francisco, CA 2002; 99–120
  • Velicer W F, DiClemente C C, Prochaska J O, Brandenberg N. A decisional balance measure for assessing and predicting smoking status. J Pers Soc Psychol 1985; 4: 1279–1289
  • Prochaska J O, Velicer W F, DiClemente C C, Fava J L. Measuring the processes of change: applications to the cessation of smoking. J Consult Clin Psychol 1988; 56: 520–528
  • Velicer W F, DiClemente C C, Rossi J S, Prochaska J O. Relapse situations and self-efficacy: an integrative model. Addict Behav 1990; 15: 271–283
  • Velicer W F, Prochaska J O. A comparison of four self-report smoking cessation outcome measures. Addict Behav 2004; 29: 51–60
  • Velicer W F, Fava J L, Prochaska J O, Abrams D B, Emmons K M, Pierce J. Distribution of smokers by stage in three representative samples. Prev Med 1995; 24: 401–411
  • Velicer W F, Abrams D B, Goldstein M G, et al. Stage distributions for three risk factors in the three USA samples. San Diego, CA March, 1999, Paper presented at Society of Behavioral Medicine Meeting
  • Velicer W F, Sun X, Redding C, Prochaska J O. Demographic variables, smoking variables, and outcomes across five studies. Scottsdale, AZ February, 2004, Society for Research on Nicotine and Tobacco Meeting
  • Velicer W F, Rossi J S, Ruggiero L, Prochaska J O. Minimal interventions appropriate for an entire population of smokers. Interventions for smokers: an international perspective, R Richmond. Williams & Wilkins, Baltimore 1994; 69–92
  • Prochaska J O, DiClemente C C, Velicer W F, Rossi J S. Standardized, individualized, interactive and personalized self-help programs for smoking cessation. Health Psychol 1993; 12: 399–405
  • Glasgow R E, Lichtenstein E, Marcus A C. Why don't we see more translation of health promotion research to practice? Rethinking the efficacy-to-effectiveness transition. Am J Public Health 2003; 93: 1261–1267
  • Velicer W F, Keller S, Friedman R H, et al. Comparing participants and non-participants recruited for an effectiveness study of nicotine replacement therapy. Ann Behav Med 2005; 29: 181–191
  • Prochaska J O, Velicer W F, Fava J L, Rossi J S, Tsoh J. Evaluating a population-based recruitment approach and a stage-matched expert system intervention for smoking cessation. Addict Behav 2001; 26: 583–602
  • Prochaska J O, Velicer W F, Fava J L, et al. Counselor and stimulus control enhancements of a stage-matched expert system intervention for smokers in a managed care setting. Prev Med 2001; 32: 23–32
  • Velicer W F, Prochaska J O, Fava J L, Laforge R G, Rossi J S. Interactive versus non-interactive interventions and dose-response relationships for stage-matched smoking cessation programs in a managed care setting. Health Psychol 1999; 18: 21–28
  • Prochaska J O, Velicer W F, Rossi J S, et al. Multiple risk expert system interventions: impact of simultaneous stage-matched expert system interventions for smoking, high fat diet and sun exposure in a population of parents. Health Psychol 2004; 23: 503–516
  • Prochaska J O, Velicer W F, Redding C A, et al. Stage-based expert systems to guide a population of primary care patients to quit smoking, eat healthier, prevent skin cancer and receive regular mammograms. Prev Med 2005; 41: 406–416
  • Velicer W F, Prochaska J O, Redding C, et al. Efficacy of expert system interventions for employees to decrease smoking, dietary fat, and sun exposure. Int J Behav Med 2004; 11(Suppl. 1)277, [Abstract]
  • Linnan L A, Emmons K M, Klar N, Fava J L, LaForge R G, Abrams D B. Challenges to improving the impact of worksite cancer prevention programs: comparing reach, enrollment, and attrition using active versus passive recruitment strategies. Ann Behav Med 2002; 24: 157–166
  • Etter J F, Perneger T V, Ronchi A. Distributions of smokers by stage: international comparison and association with smoking prevalence. Prev Med 1997; 26: 580–585
  • Fiore M C, Bailey W C, Cohen S J, Dorfman S F, et al. Smoking cessation: Clinical practice guidelines, US DHHS, 1996, AHCPR Pub. 96-0692
  • Fiore M C, Bailey W C, Cohen S J, et al. Treating tobacco use and dependence. Clinical practice guideline. US Department of Health and Human Services, Public Health Service, Rockville, MD 2000
  • Strecher V J, Kreuter M, Boer D J, Kobrin S, Hospers H J, Skinner C S. The effects of computer tailored smoking cessation messages in family practice settings. J Fam Pract 1994; 39: 262–270
  • Etter J F. Comparing the efficacy of two internet-based, computer-tailored smoking cessation programs: a randomized trial. J Med Internet Res 2005; 7: e2, Available at: URL: http://www.jmir.org/2005/1/e2/
  • Hollis J F, Polen M R, Whitlock E P, et al. TEEN REACH: outcomes from a randomized controlled trial of a tobacco reduction program for teens seen in primary medical care. Pediatrics 2005; 115: 981–999
  • Aveyard P, Cheng K K, Almond J, et al. Cluster randomised controlled trial of expert system based on the transtheoretical (“stages of change”) model for smoking prevention and cessation in schools. BMJ 1999; 319: 948–953
  • Aveyard P, Griffin C, Lawrence T, Cheng K K. A controlled trial of an expert system and self-help manual intervention based on the stages of change versus standard self-help materials in smoking cessation. Addiction 2003; 98: 345–354
  • Spencer L, Pagell F, Hallion M E, Adams T B. Applying the Transtheoretical Model to tobacco cessation and prevention: a review of the literature. Am J Health Prom 2002; 17: 7–71
  • Velicer W F, Fava J, Prochaska J O, et al. Evaluating the effectiveness of nicotine replacement therapy in a defined population. Int J Behav Med 2002; 9(Suppl. 1)285, [Abstract]
  • Edington D W. Emerging research: a view from one research center. Am J Health Prom 2001; 15: 341–369
  • Prochaska J J, Velicer W F, Prochaska J O, et al. Does targeting multiple risk behaviors for intervention reduce smoking cessation rates?. Health Psychol, in press
  • Carpenter M J, Hughes J R, Solomon L J, Callas P W. Both smoking reduction with nicotine replacement therapy and motivational advice increase future cessation among smokers unmotivated to quit. J Consult Clin Psychol 2004; 72: 371–381
  • Weinstein N D, Rothman A J, Sutton S R. Stage theoreies of health behavior: conceptual and methodological issues. Health Psychol 1998; 17: 290–299
  • Ajzen I. The theory of planned behavior. Org Behav Hum Decision Proc 1991; 50: 179–211
  • Ajzen I, Fishbein M. Understanding attitudes and predicting social behavior. Prentice Hall, Englewood Cliffs, NJ 1980
  • Bandura A. Self-efficacy: toward a unifying theory of behavior change. Psychol Rev 1977; 84: 191–215
  • Bandura A. Self-efficacy mechanism in human agency. Am Psychol 1982; 37: 122–147
  • De Vries H, Mudde A. Predicting stage transitions for smoking cessation applying the Attitude–Social influence–Efficacy model. Psychol Health 1998; 13: 369–385

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