Literature DB >> 1738813

Simulating smokers' acceptance of modifications in a cessation program.

R Spoth1.   

Abstract

Recent research has underscored the importance of assessing barriers to smokers' acceptance of cessation programs. This paper illustrates the use of computer simulations to gauge smokers' response to program modifications which may produce barriers to participation. It also highlights methodological issues encountered in conducting this work. Computer simulations were based on conjoint analysis, a consumer research method which enables measurement of smokers' relative preference for various modifications of cessation programs. Results from two studies are presented in this paper. The primary study used a randomly selected sample of 218 adult smokers who participated in a computer-assisted phone interview. Initially, the study assessed smokers' relative utility rating of 30 features of cessation programs. Utility data were used in computer-simulated comparisons of a low-cost, self-help oriented program under development and five other existing programs. A baseline version of the program under development and two modifications (for example, use of a support group with a higher level of cost) were simulated. Both the baseline version and modifications received a favorable response vis-à-vis comparison programs. Modifications requiring higher program costs were, however, associated with moderately reduced levels of favorable consumer response. The second study used a sample of 70 smokers who responded to an expanded set of smoking cessation program features focusing on program packaging. This secondary study incorporate in-person, computer-assisted interviews at a shopping mall, with smokers viewing an artist's mock-up of various program options on display. A similar pattern of responses to simulated program modifications emerged, with monetary cost apparently playing a key role. The significance of conjoint-based computer simulation as a tool in program development or dissemination, salient methodological issues, and implications for further research are discussed.

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Mesh:

Year:  1992        PMID: 1738813      PMCID: PMC1403606     

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  12 in total

1.  Multi-attribute analysis of benefit managers' preferences for smoking cessation programs.

Authors:  R Spoth
Journal:  Health Values       Date:  1990 Sep-Oct

2.  Behavioral decision theory.

Authors:  W EDWARDS
Journal:  Annu Rev Psychol       Date:  1961       Impact factor: 24.137

3.  Broadening the concept of marketing.

Authors:  P Kotler; S J Levy
Journal:  J Mark       Date:  1969-01

Review 4.  The economics of health promotion.

Authors:  C W Higgins
Journal:  Health Values       Date:  1988 Sep-Oct

Review 5.  Social marketing and public health intervention.

Authors:  R C Lefebvre; J A Flora
Journal:  Health Educ Q       Date:  1988

6.  Social learning theory and the Health Belief Model.

Authors:  I M Rosenstock; V J Strecher; M H Becker
Journal:  Health Educ Q       Date:  1988

7.  Modeling consumer choices of health plans: a comparison of two techniques.

Authors:  M D Rosko; W McKenna
Journal:  Soc Sci Med       Date:  1983       Impact factor: 4.634

8.  Stages and processes of self-change of smoking: toward an integrative model of change.

Authors:  J O Prochaska; C C DiClemente
Journal:  J Consult Clin Psychol       Date:  1983-06

9.  Predicting change in smoking status for self-changers.

Authors:  J O Prochaska; C C DiClemente; W F Velicer; S Ginpil; J C Norcross
Journal:  Addict Behav       Date:  1985       Impact factor: 3.913

10.  Acceptability of alternative treatments for deviant child behavior.

Authors:  A E Kazdin
Journal:  J Appl Behav Anal       Date:  1980
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  1 in total

1.  Views of older people on cataract surgery options: an assessment of preferences by conjoint analysis.

Authors:  M-A Ross; A J Avery; A J E Foss
Journal:  Qual Saf Health Care       Date:  2003-02
  1 in total

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