Share2Quit: Web-based Peer-driven Referrals for Smoking Cessation
Share2Quit:基于网络的同伴驱动的戒烟推荐
基本信息
- 批准号:8243411
- 负责人:
- 金额:$ 17.89万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-02-27 至 2013-12-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAgeBehavioral ResearchCancer ControlCollectionCuesDentalDevelopmentElectronic MailElectronicsEthnic OriginFeedbackFoundationsGoalsGrantHealthHealth Services AccessibilityInternetInterventionInterviewMarketingMeasuresMethodsModelingNational Institute of Dental and Craniofacial ResearchOnline SystemsOutcomePatient EducationPatientsPersonsPhysiciansPopulationProcessProtocols documentationRaceRecruitment ActivityResearchResistanceResourcesRespondentSamplingSecureSeedsSelf ManagementSmokerSmokingSmoking Cessation InterventionSocial NetworkSpecialistStagingSystemTarget PopulationsTechniquesTestingTobaccoTrainingUnited States National Institutes of HealthWeightWorkbasedesignfollow-upinnovationpeerprogramsquitlinerandomized trialresponsesatisfactionsmoking cessationsocialsuccesstoolusabilityweb site
项目摘要
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.
描述(由申请人提供):虽然戒烟工作取得了一些成功,但吸烟率的下降已经放缓,特别是在年轻吸烟者中。戒烟热线和戒烟网站等易于传播的干预措施可能会惠及更多的吸烟者。不幸的是,这些干预措施没有得到充分利用。同行驱动的连锁推荐正在迅速成为招募难以接触到的人员及其社交网络的首选方法。然而,使用基于网络的连锁转诊来招募患者接受在线健康干预措施尚未得到广泛研究。因此,在 Share2Quit 中,我们将测试一套电子链转介方法,以增加在线戒烟自我管理干预的机会。我们的总体目标是增加获得戒烟资源的机会。我们将使用 Decide2Quit.org (D2Q)(一种现有的基于网络的干预措施)进行研究。 D2Q 是当前两项随机试验的核心患者干预措施,其中包括 240 多个牙科和医生诊所,已招募了 1,000 多名吸烟者。我们有以下具体目标: 1) 形成性研究:对 40 名吸烟者进行有针对性的深入访谈,以完善主动连锁转介工具。 2) 开发和测试:使用敏捷编程、有声思考访谈和模拟实际干预的迷你试点,开发和测试 Share2Quit 工具。 3) 干预:评估链式推荐流程以及 Share2Quit 工具的推荐成功率。干预将从一组初始种子开始,我们估计样本包括 800-1200 名吸烟者。将实施受访者驱动抽样 (RDS) 的最佳实践(一种先进的链转介技术),包括创新的 webRDS 技术。我们将对推荐成功的预测因子进行建模,使用 RDS 中的样本权重来估计系统在目标人群中的成功程度。我们的研究结果将极大地有助于我们了解在线连锁转介在增加获得服务的机会方面的潜力及其对结果的影响。
公共卫生相关性:戒烟热线和戒烟网站等易于传播的干预措施未得到充分利用。在 Share2Quit 中,我们将测试一套电子链转介方法,以增加在线戒烟自我管理干预措施的获取。我们的研究结果将极大地有助于我们了解在线连锁转介在增加获得服务的机会方面的潜力及其对结果的影响。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Rajani Sadasivam其他文献
Rajani Sadasivam的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Rajani Sadasivam', 18)}}的其他基金
Adapt2Quit – A Machine-Learning, Adaptive Motivational System: RCT for Socio-Economically Disadvantaged smokers”
Adapt2Quit — 机器学习、自适应激励系统:针对社会经济弱势吸烟者的随机对照试验 —
- 批准号:
10381513 - 财政年份:2020
- 资助金额:
$ 17.89万 - 项目类别:
Adapt2Quit – A Machine-Learning, Adaptive Motivational System: RCT for Socio-Economically Disadvantaged smokers”
Adapt2Quit — 机器学习、自适应激励系统:针对社会经济弱势吸烟者的随机对照试验 —
- 批准号:
10642697 - 财政年份:2020
- 资助金额:
$ 17.89万 - 项目类别:
mHealth Messaging to Motivate Quitline Use and Quitting (M2Q2): RCT in rural Vietnam
促进戒烟热线使用和戒烟的移动医疗信息传递 (M2Q2):越南农村地区的随机对照试验
- 批准号:
9899336 - 财政年份:2017
- 资助金额:
$ 17.89万 - 项目类别:
Take a Break: mHealth-assisted skills building challenge for unmotivated smokers
休息一下:移动健康辅助的针对无动力吸烟者的技能培养挑战
- 批准号:
9761283 - 财政年份:2015
- 资助金额:
$ 17.89万 - 项目类别:
Developing Smokers for Smoker (S4S): A Collective Intelligence tailoring system
为吸烟者开发吸烟者 (S4S):集体智慧定制系统
- 批准号:
8899464 - 财政年份:2013
- 资助金额:
$ 17.89万 - 项目类别:
Developing Smokers for Smoker (S4S): A Collective Intelligence tailoring system
为吸烟者开发吸烟者 (S4S):集体智慧定制系统
- 批准号:
8718785 - 财政年份:2013
- 资助金额:
$ 17.89万 - 项目类别:
Developing Smokers for Smoker (S4S): A Collective Intelligence tailoring system
为吸烟者开发吸烟者 (S4S):集体智慧定制系统
- 批准号:
8581564 - 财政年份:2013
- 资助金额:
$ 17.89万 - 项目类别:
Share2Quit: Web-based Peer-driven Referrals for Smoking Cessation
Share2Quit:基于网络的同伴驱动的戒烟推荐
- 批准号:
8434143 - 财政年份:2012
- 资助金额:
$ 17.89万 - 项目类别:
相似国自然基金
跨尺度年龄自适应儿童头部模型构建与弥漫性轴索损伤行为及表征研究
- 批准号:52375281
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
随机噪声影响下具有年龄结构的布鲁氏菌病动力学行为与最优控制研究
- 批准号:
- 批准年份:2022
- 资助金额:30 万元
- 项目类别:青年科学基金项目
几类年龄结构种群和传染病模型的动力学行为与控制问题研究
- 批准号:
- 批准年份:2021
- 资助金额:30 万元
- 项目类别:青年科学基金项目
阿尔金断裂乌尊硝尔段古地震复发特征与级联破裂行为研究
- 批准号:41902216
- 批准年份:2019
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
中国成年双生子行为生活方式与DNA甲基化年龄关联研究
- 批准号:
- 批准年份:2019
- 资助金额:55 万元
- 项目类别:面上项目
相似海外基金
The neural underpinnings of speech and nonspeech auditory processing in autism: Implications for language
自闭症患者言语和非言语听觉处理的神经基础:对语言的影响
- 批准号:
10827051 - 财政年份:2024
- 资助金额:
$ 17.89万 - 项目类别:
Computational and neural signatures of interoceptive learning in anorexia nervosa
神经性厌食症内感受学习的计算和神经特征
- 批准号:
10824044 - 财政年份:2024
- 资助金额:
$ 17.89万 - 项目类别:
Identifying and Addressing the Effects of Social Media Use on Young Adults' E-Cigarette Use: A Solutions-Oriented Approach
识别和解决社交媒体使用对年轻人电子烟使用的影响:面向解决方案的方法
- 批准号:
10525098 - 财政年份:2023
- 资助金额:
$ 17.89万 - 项目类别:
Mechanisms of Juvenile Neurogenesis and Post-Stroke Recovery: Determining the Role of Age-Associated Neuroimmune Interactions
青少年神经发生和中风后恢复的机制:确定与年龄相关的神经免疫相互作用的作用
- 批准号:
10637874 - 财政年份:2023
- 资助金额:
$ 17.89万 - 项目类别: