Literature DB >> 9925042

Interactive versus noninteractive interventions and dose-response relationships for stage-matched smoking cessation programs in a managed care setting.

W F Velicer1, J O Prochaska, J L Fava, R G Laforge, J S Rossi.   

Abstract

This study compared interactive and noninteractive smoking cessation interventions for a population of smokers who were all members of 1 division of a managed care company. In addition, it examined whether a dose-response relationship existed. Screening was completed for 19,236 members who were contacted by telephone or mail. Of the 4,653 who were identified as smokers, 85.3% were enrolled. A 2 Intervention (interactive or noninteractive) x 4 Contacts (1, 2, 3, or 6 contacts) x 4 Occasions (0, 6, 12, and 18 months) design was used. The interactive intervention was stage-matched expert-system reports plus manuals; the noninteractive intervention was stage-matched manuals. Contact occurred in 1 of 4 series (1, 2, 3 or 6 contacts) at 3-month intervals. The expert system outperformed the stage-matched manuals, but there was no clear dose-response relationship for either intervention.

Mesh:

Year:  1999        PMID: 9925042     DOI: 10.1037//0278-6133.18.1.21

Source DB:  PubMed          Journal:  Health Psychol        ISSN: 0278-6133            Impact factor:   4.267


  39 in total

1.  Cluster randomised controlled trial of expert system based on the transtheoretical ("stages of change") model for smoking prevention and cessation in schools.

Authors:  P Aveyard; K K Cheng; J Almond; E Sherratt; R Lancashire; T Lawrence; C Griffin; O Evans
Journal:  BMJ       Date:  1999-10-09

Review 2.  Couple dynamics of change-resistant smoking: toward a family consultation model.

Authors:  M J Rohrbaugh; V Shoham; S Trost; M Muramoto; R M Cate; S Leischow
Journal:  Fam Process       Date:  2001

3.  Stages of change model for smoking prevention and cessation in schools. Authors applied adult dose for smoking to adolescents when smoking behaviour is different in the two.

Authors:  J O Prochaska
Journal:  BMJ       Date:  2000-02-12

4.  Behavior-changing methods for improving adherence to medication.

Authors:  C Willey
Journal:  Curr Hypertens Rep       Date:  1999-12       Impact factor: 5.369

5.  Integrating population smoking cessation policies and programs.

Authors:  James O Prochaska; Wayne F Velicer
Journal:  Public Health Rep       Date:  2004 May-Jun       Impact factor: 2.792

6.  Questions about quitting (Q2): design and methods of a Multiphase Optimization Strategy (MOST) randomized screening experiment for an online, motivational smoking cessation intervention.

Authors:  J B McClure; H Derry; K R Riggs; E W Westbrook; J St John; S M Shortreed; A Bogart; L C An
Journal:  Contemp Clin Trials       Date:  2012-07-04       Impact factor: 2.226

7.  Initial evaluation of a real-world Internet smoking cessation system.

Authors:  Nathan K Cobb; Amanda L Graham; Beth C Bock; George Papandonatos; David B Abrams
Journal:  Nicotine Tob Res       Date:  2005-04       Impact factor: 4.244

8.  A randomised control study of a fully automated internet based smoking cessation programme.

Authors:  L H G Swartz; J W Noell; S W Schroeder; D V Ary
Journal:  Tob Control       Date:  2006-02       Impact factor: 7.552

9.  Understanding tailoring in communicating about health.

Authors:  Robert P Hawkins; Matthew Kreuter; Kenneth Resnicow; Martin Fishbein; Arie Dijkstra
Journal:  Health Educ Res       Date:  2008-03-17

10.  Transtheoretical principles and processes for quitting smoking: a 24-month comparison of a representative sample of quitters, relapsers, and non-quitters.

Authors:  Xiaowa Sun; James O Prochaska; Wayne F Velicer; Robert G Laforge
Journal:  Addict Behav       Date:  2007-04-14       Impact factor: 3.913

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