Background Although many smokers seek Internet-based cessation assistance, few studies have experimentally evaluated long-term cessation rates among cigarette smokers who receive Internet assistance in quitting.Objective The purpose of this study is to describe long-term smoking cessation rates associated with 6 different Internet-based cessation services and the variation among them, to test the hypothesis that interactive and tailored Internet services yield higher long-term quit rates than more static Web-posted assistance, and to explore the possible effects of level of site utilization and a self-reported indicator of depression on long-term cessation rates.Method In 2004-05, a link was placed on the American Cancer Society (ACS) website for smokers who wanted help in quitting via the Internet. The link led smokers to the QuitLink study website, where they could answer eligibility questions, provide informed consent, and complete the baseline survey. Enrolled participants were randomly assigned to receive emailed access to one of five tailored interactive sites provided by cooperating research partners or to a targeted, minimally interactive ACS site with text, photographs, and graphics providing stage-based quitting advice and peer modeling.Results6451 of the visitors met eligibility requirements and completed consent procedures and the baseline survey. All of these smokers were randomly assigned to one of the six experimental groups. Follow-up surveys done online and via telephone interviews at approximately 13 months after randomization yielded 2468 respondents (38%) and found no significant overall quit rate differences among those assigned to the different websites (P = .15). At baseline, 1961 participants (30%) reported an indicator of depression. Post hoc analyses found that this group had significantly lower 13-month quit rates than those who did not report the indicator (all enrolled, 8% vs 12%, P < .001; followed only, 25% vs 31%, P = .003). When the 4490 participants (70%) who did not report an indicator of depression at baseline were separated for analysis, the more interactive, tailored sites, as a whole, were associated with higher quitting rates than the less interactive ACS site: 13% vs 10% (P = .04) among 4490 enrolled and 32% vs 26% (P = .06) among 1798 followed.Conclusions These findings show that Internet assistance is attractive and potentially cost-effective and suggest that tailored, interactive websites may help cigarette smokers who do not report an indicator of depression at baseline to quit and maintain cessation.

Objective: This study evaluates alternative protocols in telephone counselling for smoking cessation. Design: The American Cancer Society enrolled 6322 clients in a randomised trial comparing three counselling formats of varying duration and frequency of contact, with or without booster sessions, and mailed self help booklets without telephone counselling. Setting and participants: Participants were drawn from callers to the American Cancer Society's National Cancer Information Center seeking assistance with smoking cessation who provided informed consent and were adult daily smokers, ready to make a quit attempt within two weeks, and from states not served by an evidence based proactive telephone counselling programme. Outcomes: Six-month cessation rates (30-day point prevalence) were measured in telephone interviews.Results: There was a significant counselling effect. The overall cessation rates that were yielded by a brief protocol including booster sessions were equivalent to those obtained with the American Cancer Society's standard protocol with boosters. Conclusions: Based on these findings, the abbreviated protocol with five sessions and two boosters is considered to be an option for improving cost efficiency in the delivery of this service.

Introduction: Smoking cessation research has demonstrated a link between social support and quitting, but interventions designed to enhance partner support have often failed. We adapted and tested a measure of dyadic efficacy to assess smokers' confidence in their abilities to work together as a team with their partners to quit smoking and cope with quitting challenges. Our goal was to establish the psychometric properties of the dyadic efficacy instrument, including its associations with cessation outcomes. Methods:We recruited partnered smokers who called the American Cancer Society's Quitline and administered telephone interviews (N = 634, 59% female, average age = 40 years). Interviews included 8 dyadic efficacy items and a variety of sociodemographic, smoking history, and relationship variables at baseline and quit outcomes at 4 months.Results: Factor analysis of the dyadic efficacy items yielded a 1-factor scale with strong internal consistency (a = .92). Dyadic efficacy was positively associated (p < .0001) with smoking-specific support (r = .51), relationship satisfaction (r = .44), and dyadic coping (r = .54). Dyadic efficacy was not associated with age, gender, race, relationship length, smoking quantity, or previous quit attempts. Respondents with smoking partners who were willing to quit with them had higher dyadic efficacy than those whose smoking partners were not (p < .0001). Higher baseline dyadic efficacy was predictive of 7-day point prevalence quit rates at follow-up (odds ratio = 1.25, 95% CI = 1.02-1.53). Conclusions:With further study, dyadic efficacy may enhance our understanding of the role of partner relationships in smoking cessation.

Survivors who feel unprepared for the transition to post-treatment care report poorer cancer-related symptom management. Identification of factors associated with low perceived preparedness and poor cancer-related symptom management will assist in risk stratification and development of tailored interventions to meet the needs of cancer survivors during re-entry.

Background Patient navigation improves cancer care delivery for those most at risk for poor outcomes. Lack of sustainable funding threatens the full integration of navigation services into health care delivery systems. Standardized navigation metrics that document impact and identify best practices are necessary to support sustainability. Methods The National Navigation Roundtable administered a web‐based, cross‐sectional survey to oncology patient navigation programs to identify barriers and facilitators to the use of navigation metrics. The 38‐item survey asked about data‐collection practices and specific navigation metrics used by the program. Exploratory and descriptive statistics were used to identify factors associated with data collection and reporting. Results Seven hundred fifty respondents from across the country represented navigation programs across the continuum of care. Although 538 respondents (72%) reported participating in routine data collection, only one‐half of them used data for reporting purposes. For the 374 programs that used electronic health records, only 40% had discrete, reportable navigation fields, and 25% had an identifier for navigated patients. Program funding was identified as the only characteristic associated with data collection, whereas the type of data collected was associated with work setting, participation in alternative payment models, and where on the continuum navigation services are provided. Respondents participating in an oncology accreditation program were more likely to collect specific outcome metrics across the continuum and to use those data for reporting purposes. The most common barriers to data collection were time (55%) and lack of support for complex data systems and/or platforms (50%). Conclusions Inconsistent data collection and reporting of oncology navigation programs remain a threat to sustainability. Aligning data collection with oncology accreditation, funding, and reimbursement is a viable path forward.