Automated e-mail messaging as a tool for improving quit rates in an internet smoking cessation intervention.
OBJECTIVE
The aim of this study was to determine whether an automated e-mail messaging system that sent individually timed educational messages (ITEMs) increased the effectiveness of an Internet smoking cessation intervention.


METHODS
Using two consecutive series of participants, the authors compared two Web-based self-help style smoking cessation interventions: a single-point-in-time educational intervention and an enhanced intervention that also sent ITEMs timed to participants' quit efforts. Outcomes were compared in 199 participants receiving the one-time intervention and 286 receiving ITEMs.


METHODS
Demographic factors, number of cigarettes smoked, nicotine addiction, depressive symptoms, and confidence in ability to quit were measured at entry. Twenty-four-hour quit attempts and seven-day point-prevalence of abstinence (nonrespondents assumed to smoke) were measured 30 days after each subject's self-selected quit date.


RESULTS
The one-time and ITEMs groups differed in some demographics and some relapse risk factors but not in factors associated with 30-day quit rates. ITEMs appeared to increase the rate at which individuals set quit dates (97% vs. 91%, p = 0.005) and, among the respondents to follow-up questionnaires (n = 145), the rate of reported 24-hour quit efforts (83% vs. 54%, p = 0.001). The 30-day intent-to-treat quit rates were higher in the ITEMs group: 7.5% vs. 13.6%, p = 0.035. In multivariate analyses controlling for differences between groups, receiving ITEMs was associated with an increase in the odds ratio for quitting of 2.6 (95% confidence interval = 1.3-5.3).


CONCLUSIONS
ITEMs sent on strategic days in smokers' quit efforts enhanced early success with smoking cessation relative to a single-point-in-time Web intervention. The effect appears to be mediated by ITEMs' causing smokers to plan and undertake quit efforts more frequently.
Lenert
Leslie
L
Department of Medicine, University of California, La Jolla, CA, USA. llenert@ucsd.edu.
Muñoz
Ricardo F
RF
Perez
John E
JE
Bansod
Aditya
A
D000328:Adult; D034742:Electronic Mail; D005260:Female; D006801:Humans; D020407:Internet; D008297:Male; D015999:Multivariate Analysis; D017063:Outcome Assessment, Health Care; D010353:Patient Education as Topic / Q000379:methods; D012648:Self Care; D016540:Smoking Cessation / Q000379:methods*