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DESCRIPTION (provided by applicant): While cessation efforts have achieved some success, the decline in smoking has slowed, especially among younger smokers. Easily disseminated interventions like Quitlines and smoking cessation websites can potentially reach much greater numbers of smokers. Unfortunately, these interventions are under-utilized. Peer-driven chain referrals are quickly becoming the method of choice for recruiting hard-to-reach persons and their social networks. However, use of web-based chain referrals to recruit patients to online health interventions has not been extensively studied. Thus, in Share2Quit we will test a suite of electronic chain referral approaches to increase access to smoking cessation self-management interventions online. Our overall goal is to increase access to smoking cessation resources. We will conduct our study using Decide2Quit.org (D2Q), an existing web-based intervention. D2Q is the core patient intervention of two current randomized trials that include over 240 dental and physician practices that have already recruited over 1,000 smokers. We have the following specific aims: 1) Formative Research: Conduct in-depth interviews with a purposive sample of 40 smokers to refine proactive chain referral tools. 2) Development and Testing: Using agile programming, think aloud interviews, and mini-pilot mimicking the actual intervention, develop and test the Share2Quit tools. 3) Intervention: Evaluate the chain referral process and the referral success of the Share2Quit tools. The intervention will start with an initial set of seeds and we estimate a sample of 800-1200 smokers. The best practices of respondent-driven-sampling (RDS), an advance chain referral technique, will be implemented, including innovative webRDS techniques. We will model predictors of referral success, using sample weights from RDS to estimate the success of the system in the targeted population. Our findings will contribute significantly to our understanding of the potential of online chain referrals to increase access to services, and the impact on outcomes. PUBLIC HEALTH RELEVANCE: Easily disseminated interventions like Quitlines and smoking cessation websites are underutilized. In Share2Quit, we will test a suite of electronic chain referral approaches to increase access to smoking cessation self-management interventions online. Our findings will contribute significantly to our understanding of the potential of online chain referrals to increase access to services, and the impact on outcomes.
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Adapt2Quit – A Machine-Learning, Adaptive Motivational System: RCT for Socio-Economically Disadvantaged smokers”
Adapt2Quit – A Machine-Learning, Adaptive Motivational System: RCT for Socio-Economically Disadvantaged smokers”
mHealth Messaging to Motivate Quitline Use and Quitting (M2Q2): RCT in rural Vietnam
Take a Break: mHealth-assisted skills building challenge for unmotivated smokers
国内基金
海外基金
补阳还五汤通过AGE-RAGE通路调控脓毒症免疫失衡的机制与转化研究
靶向递送一氧化碳调控AGE-RAGE级联反应促进糖尿病创面愈合研究
  • 批准号:
    JCZRQN202500010
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
  • 依托单位:
对香豆酸抑制AGE-RAGE-Ang-1通路改善海马血管生成障碍发挥抗阿尔兹海默病作用
  • 批准号:
    2025JJ70209
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    雷芬芳
  • 依托单位:
AGE-RAGE通路调控慢性胰腺炎纤维化进程的作用及分子机制
  • 批准号:
    --
  • 项目类别:
    面上项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    万荣
  • 依托单位: