Online Community Use Predicts Abstinence in Combined Internet/Phone Intervention for Smoking Cessation

被引:11
|
作者
Papandonatos, George D. [1 ]
Erar, Bahar [1 ]
Stanton, Cassandra A. [2 ,3 ]
Graham, Amanda L. [3 ,4 ]
机构
[1] Brown Univ, Ctr Stat Sci, Providence, RI 02912 USA
[2] Westat Corp, Rockville, MD USA
[3] Georgetown Univ, Med Ctr, Canc Prevent & Control Program, Dept Oncol,Lombardi Comprehensive Canc Ctr, Washington, DC 20057 USA
[4] Schroeder Inst Tobacco Res & Policy Studies, Truth Initiat, 900 G St Northwest,4th Floor, Washington, DC 20001 USA
基金
美国国家卫生研究院;
关键词
smoking cessation; online community; propensity weighting; e-health; social network; FAGERSTROM TOLERANCE QUESTIONNAIRE; PROPENSITY SCORE ESTIMATION; WEB-BASED INTERVENTIONS; RANDOMIZED-TRIAL; PROMOTES ABSTINENCE; NICOTINE DEPENDENCE; TELEPHONE TREATMENT; TOBACCO CESSATION; SOCIAL NETWORK; SELF-EFFICACY;
D O I
10.1037/ccp0000099
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Objective: To estimate the causal effects of online community use on 30-day point prevalence abstinence at 3 months among smokers that received a combined Internet/phone intervention for smoking cessation. Method: Participants were 399 adult smokers selected from the combined Internet/phone arm of The iQUITT Study (Graham et al., 2011), a randomized trial of Internet and proactive telephone counseling for smoking cessation. All selected participants had accessed a web-based smoking-cessation program with an established online community and received at least one telephone counseling call. Automated tracking metrics of passive (e.g., reading posts, viewing profiles) and active (e.g., writing posts, sending messages) community use were extracted at 3 months. Self-selected community use defined the groups of interest as None, Passive, and Both (passive and active). Inverse probability of treatment weighting corrected for baseline imbalances on demographic, smoking, and psychosocial variables. Propensity weights estimated via generalized boosted models were used to calculate average treatment effects (ATE) and average treatment effects on the treated (ATT). Results: Patterns of community use were None = 145 (36.3%), Passive = 82 (20.6%), and Both = 172 (43.1%). ATE-weighted abstinence rates were None = 12.2% (95% CI = 6.7-17.7), Passive = 25.2% (95% CI = 15.1-35.2), and Both = 35.5% (95% CI = 28.1-42.9). ATT-weighted abstinence rates indicated even greater benefits of passive community use by nonusers. Conclusions: More than 1/3 of the participants who used the community both passively and actively achieved abstinence. Participation in an established online community as part of a combined Internet/phone intervention has the potential to promote short-term abstinence. Results also demonstrated that information and support that originate in the community can serve as a resource for all users.
引用
收藏
页码:633 / 644
页数:12
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