User Experiences With an SMS Text Messaging Program for Smoking Cessation: Qualitative Study.

BACKGROUND: Mobile health strategies for smoking cessation (eg, SMS text messaging-based interventions) have been shown to be effective in helping smokers quit. However, further research is needed to better understand user experiences with these platforms. OBJECTIVE: This qualitative study aims to explore the experiences of real-world users of a publicly available smoking cessation program (SmokefreeTXT). METHODS: Semistructured phone interviews were conducted with 36 SmokefreeTXT users between March and July 2014. Of these 36 participants, 50% (18/36) of participants completed the SmokefreeTXT program (ie, did not opt out of the program before the 6- to 8-week completion period), and 50% (18/36) did not complete the program (ie, requested to opt out of the program before the completion period). Interview questions focused on smoking behaviors, quitting history, opinions on the program's content and structure, answering assessment questions, using keywords, reasons for opting out, and perceived usefulness of the program for quitting smoking. A thematic content analysis was conducted, with a focus on themes to increase program engagement and optimization. RESULTS: The findings highlighted features of the program that participants found beneficial, as well as some elements that showed opportunities for improvement to boost program retention and successful cessation. Specifically, most participants found the SmokefreeTXT program to be convenient and supportive of cessation; however, some found the messages to be repetitive and reported a desire for more flexibility based on their readiness to quit and cessation progress. We also found that program completion did not necessarily indicate successful smoking cessation and that program opt out, which might be interpreted as a less positive outcome, may occur because of successful cessation. Finally, several participants reported using SmokefreeTXT together with other evidence-based cessation methods or non-evidence-based strategies. CONCLUSIONS: Qualitative interviews with real-world SmokefreeTXT users showed high program acceptability, engagement with program features, and perceived utility for smoking cessation. Our findings directly informed several program updates, such as adding an adaptive quit date feature and offering supplemental information on live support services for users who prefer human interaction during the cessation process. The study has implications for other digital tobacco cessation interventions and highlights important topics that warrant future research, such as the relationship between program engagement (eg, opt out and retention) and successful cessation.

Cancer health self-efficacy improvement in a randomized controlled trial.

BACKGROUND: eHealth interventions can help cancer survivors self-manage their health outside the clinic. Little is known about how best to engage and assist survivors across the age and cancer treatment spectra. METHODS: The American Cancer Society conducted a randomized controlled trial that assessed efficacy of, and engagement with, Springboard Beyond Cancer, an eHealth self-management program for cancer survivors. Intent-to treat analyses assessed effects of intervention engagement for treatment (on-treatment vs completed) overall (n = 176; 88 control, 88 intervention arm) and separately by age (<60 years vs older). Multiple imputation was used to account for participants who were lost to follow-up (n = 41) or missing self-efficacy data (n = 1) at 3 months follow-up. RESULTS: Self-efficacy for managing cancer, the primary outcome of this trial, increased significantly within the intervention arm and for those who had completed treatment (Cohen's d = 0.26, 0.31, respectively). Additionally, participants with moderate-to-high engagement in the text and/or web intervention (n = 30) had a significantly greater self-efficacy for managing cancer-related issues compared to the control group (n = 68), with a medium effect size (Cohen's d = 0.44). Self-efficacy did not differ between the intervention and control arm at 3 months post-baseline. CONCLUSIONS: Study results suggest that cancer survivors benefit variably from eHealth tools. To maximize effects of such tools, it is imperative to tailor information to a priori identified survivor subgroups and increase engagement efforts.

Assessment of and Interventions for Women at High Risk for Breast or Ovarian Cancer: A Survey of Primary Care Physicians.

As clinical guidelines for cancer prevention refer individuals to primary care physicians (PCP) for risk assessment and clinical management, PCPs may be expected to play an increasing role in cancer prevention. It is crucial that PCPs are adequately supported to assess an individual's cancer risk and make appropriate recommendations. The objective of this study is to assess use, familiarity, attitude, and behaviors of PCPs regarding breast and ovarian cancer risk and prevention, to better understand the factors that influence their prescribing behaviors. We conducted a cross-sectional, web-based survey of PCPs in the United States, recruited from an opt-in healthcare provider panel. Invitations were sent in batches until the target sample size of 750 respondents (250 each for obstetrics/gynecology, internal medicine, and family medicine) was met. Self-reported use of breast/ovarian cancer risk assessments was low (34.7%-59.2%) compared with discussion of cancer family history (96.9%), breast exams (87.1%), and mammograms (92.8%). Although most respondents (48.0%-66.8%) were familiar with cancer prevention interventions, respondents who reported to be less familiar were more likely to report cautious attitudes. When presented with hypothetical cases depicting patients at different breast/ovarian cancer risks, up to 34.0% of respondents did not select any of the clinically recommended course(s) of action. This survey suggests that PCP use of breast/ovarian cancer risk assessment tools and ability to translate the perceived risks to clinical actions is variable. Improving implementation of cancer risk assessment and clinical management guidelines within primary care may be necessary to improve the appropriate prescribing of cancer prevention interventions.Prevention Relevance: Primary care physicians are becoming more involved in cancer prevention management, so it is important that cancer risk assessment and medical society guideline recommendations for cancer prevention are better integrated into primary care to improve appropriate prescribing of cancer prevention interventions and help reduce cancer risk.

A content analysis of smartphone apps for adolescent smoking cessation.

Adolescent cigarette smokers have an increased risk of sustained smoking into adulthood. Smartphone applications (apps) for smoking cessation are a promising treatment resource. However, research on apps for adolescent smoking cessation is limited. This study compared smoking cessation mobile apps targeting an adolescent audience with popular cessation apps for a general audience. Adolescent and general-audience apps were identified by searching the Google Play and Apple App Stores (November 2016). Two coders assessed each app for adherence to clinical practice guidelines for tobacco and adolescent-specific content (2016-2017) and developed a summary score that summed all adherence and adolescent content criteria. Eight adolescent apps were identified and compared with the top 38 general apps (as ranked by Apple and Google). Both general and adolescent apps commonly had adherence content related to developing a quit plan (general: 73.68 per cent; adolescent: 87.50 per cent) and enhancing motivation by describing the rewards of not smoking (general: 76.32 per cent; adolescent: 62.50 per cent). Adolescent-specific content such as peer influence on smoking was common in adolescent apps but not in general apps (general: 5.26 per cent; adolescent: 62.50 per cent). Adolescent apps had a higher general adherence content summary score [t (44) = 2.55, p = .01] and a higher adolescent content summary score [t (7.81) = 2.47, p = .04] than the general apps. On average, adolescent cessation apps included more adherence content and adolescent-specific content than general apps. Future research is needed to determine the extent to which adolescents engage with the adherence content available in these apps.

Cancer Prevention in Primary Care: Perception of Importance, Recognition of Risk Factors and Prescribing Behaviors.

PURPOSE: Acceptability and uptake of cancer preventive interventions is associated with physician recommendation, which is dependent on physician familiarity with available preventive options. The goal of this study is to evaluate cancer prevention perceptions, understanding of breast and ovarian cancer risk factors, and prescribing behaviors of primary care physicians. METHODS: We conducted cross-sectional. Web-based survey of 750 primary care physicians (250 each for obstetrics/gynecology, internal medicine, and family medicine) in the United States. Survey respondents were recruited from an opt-in health care provider panel. RESULTS: Perception of importance and the practice of recommending general and cancer-specific preventive screenings and interventions significantly differed by provider type. These perceptions and behaviors reflected the demographics of the population that the primary care physicians see within their respective practices. The majority of respondents recognized genetic/hereditary risk factors for breast or ovarian cancer, while epidemiologic or clinical risk factors were less frequently recognized. Prescribing behaviors were related to familiarity with the interventions, with physicians indicating that they more frequently reinforced a specialist's recommendation rather than prescribed a preventive intervention. CONCLUSIONS: Cancer prevention perceptions, recognition of cancer risk factors, and prescribing behaviors differ among practice types and were related to familiarity with preventive options. Cancer prevention education and risk assessment resources should be more widely available to primary care physicians.

Predictors of Retention in an Adult Text Messaging Smoking Cessation Intervention Program: Cohort Study.

BACKGROUND: Mobile health tools such as text messaging programs can support smoking cessation. However, high rates of disengagement from these tools decrease their effectiveness. OBJECTIVE: The purpose of this study was to identify user characteristics associated with retention in an adult text messaging smoking cessation intervention. METHODS: Adults initiating a quit attempt using the publicly available program SmokefreeTXT between March 6 and June 21, 2016 (n=6215), were included. Data were collected to assess nicotine dependence, frequency of being around other smokers, time of the day for cigarette cravings, extrinsic and intrinsic motivation to quit smoking, confidence in quitting, and long-term intention to be smoke free. Multivariable survival analysis modeling for time to opt out was conducted to identify characteristics associated with opting out over the course of the intervention, adjusting for age, sex, and smoking frequency, reset of the quit date by the user, and the number of days enrolled before initiating the quit attempt. Among those who opted out, multivariable multinomial logistic regression analysis was used to identify predictors of opting out early (within 3 days and between 4 and 7 days into the quit attempt) compared to opting out late (more than 7 days into the quit attempt), adjusting for the same confounders. RESULTS: Survival analyses indicated that younger age, female sex, higher levels of nicotine dependence, lower intention to be smoke free, and enrolling in SmokefreeTXT ≤1 week before initiating the quit attempt were associated with an increased risk of opting out. For example, users who smoked within 5 minutes of waking up were 1.17 times more likely to opt out than those who smoked more than 5 minutes after waking up (95% CI 1.01-1.35). Among users who opted out from SmokefreeTXT, logistic regression modeling indicated that compared to users who were never or rarely around other smokers, those who were sometimes around other smokers had 1.96 times more likely to opt out within the first 3 days of the quit attempt (95% CI 1.18-3.25). In addition, compared to users with high levels of long-term quit intention, users with lower levels of intention had 1.80 times the odds of opting out between 4 and 7 days into the quit attempt (95% CI 1.02-3.18). Users who reset their quit date after initiating a quit attempt were less likely to opt out at either time point compared with those who did not reset their quit date. CONCLUSIONS: Several user characteristics are associated with retention in an adult text messaging smoking cessation program. These results provide guidance on potential characteristics that should be addressed in future text messaging smoking cessation programs. Providing additional support to users with these characteristics may increase retention in text messaging programs and ultimately lead to smoking cessation.

Americans' Trust in Health Information Sources: Trends and Sociodemographic Predictors.

PURPOSE: To assess the public's trust in health information sources (ie, government health agencies, doctors, family/friends, charitable organizations, and religious leaders/organizations) from 2005 to 2015 and identify sociodemographics factors associated with high trust. DESIGN: Cross-sectional. SETTING: Health Information National Trends Survey, a US nationally representative publicly available data on health-related knowledge, behaviors, and attitudes. PARTICIPANTS: Data included 5 iterations (2005-2015) of US adults (2005: N = 5586, 2008: N = 7764, 2011: N = 3959, 2013: N = 3185, and 2015: N = 3738). MEASURES: Outcome variables were high trust in health information sources and independent variables were sociodemographics. ANALYSIS: A descriptive analysis was conducted to track changes in trust over the past decade. The χ2 and multivariable logistic regression were conducted to assess sociodemographic associations in 2015. RESULTS: Trust in health information across all sources remained stable from 2005 to 2015. Doctors were the most trusted source, followed by government health agencies. Sociodemographics were independently associated with trust. For example, non-Hispanic blacks were more likely to trust charitable organizations (odds ratio [OR] = 2.32, confidence interval [CI] = 1.42-3.79) and religious leaders/organizations (OR = 3.57, CI = 1.20-10.57) compared to non-Hispanic whites. In addition, those with less than high school education (OR = 2.44, CI = 1.32-4.52) were more likely than college graduates to report trust in religious leaders/organizations. CONCLUSION: Although there are analytic limitations to the specific time periods, the findings demonstrate that public health communication practitioners must consider the role of source credibility among priority populations when disseminating and promoting information.

Acceptability of Localized Cancer Risk Reduction Interventions Among Individuals at Average or High Risk for Cancer.

Individuals at high risk for cancer, including those already diagnosed with premalignant lesions, can potentially benefit from chemopreventive interventions to reduce cancer risk. However, uptake and acceptability have been hindered due to the risk of systemic toxicity and other adverse effects. Locally delivered chemopreventive agents, where direct action on the primary organ may limit systemic toxicity, are emerging as an option for high-risk individuals. While a number of clinical trials support the development of chemopreventive agents, it is crucial to understand the factors and barriers that influence their acceptability and use. We conducted 36 focus groups with 198 individuals at average and high risk of breast/ovarian, gynecologic, and head/neck/oral and lung cancers to examine the perceptions and acceptability of chemopreventive agents. Participants' willingness to use chemopreventive agents was influenced by several factors, including perceived risk of cancer, skepticism around prevention, previous knowledge of chemopreventive agents, support from trusted sources of health information, participation in other cancer-related risk-reduction activities, previous experience with similar modalities, cost, regimen, side effects, and perceived effectiveness of the preventive intervention. Our findings indicate that individuals may be more receptive to locally delivered chemopreventive agents if they perceive themselves to be at high risk for cancer and are given the necessary information regarding regimen and side effects to make an informed decision. Clinical trials that collect additional patient-centered data including side effects and how these interventions fit into an individual's lifestyle are imperative to improve uptake of chemopreventive agents.

Associations Between Engagement and Outcomes in the SmokefreeTXT Program: A Growth Mixture Modeling Analysis.

INTRODUCTION: Smoking continues to be a leading cause of preventable death. Mobile health (mHealth) can extend the reach of smoking cessation programs; however, user dropout, especially in real-world implementations of these programs, limit their potential effectiveness. Research is needed to understand patterns of engagement in mHealth cessation programs. METHODS: SmokefreeTXT (SFTXT) is the National Cancer Institute's 6-8 week smoking cessation text-messaging intervention. Latent growth mixture modeling was used to identify unique classes of engagement among SFTXT users using real-world program data from 7090 SFTXT users. Survival analysis was conducted to model program dropout over time by class, and multilevel modeling was used to explore differences in abstinence over time. RESULTS: We identified four unique patterns of engagement groups. The largest percentage of users (61.6%) were in the low-engagers declining group; these users started off with low level of engagement and their engagement decreased over time. Users in this group were more likely to drop out from the program and less likely to be abstinent than users in the other groups. Users in the high engagers-maintaining group (ie, the smallest but most engaged group) were less likely to be daily smokers at baseline and were slightly older than those in the other groups. They were most likely to complete the program and report being abstinent. CONCLUSIONS: Our findings show the importance of maintaining active engagement in text-based cessation programs. Future research is needed to elucidate predictors of the various levels of engagement, and to assess whether strategies aimed at increasing engagement result in higher abstinence rates. IMPLICATIONS: The current study enabled us to investigate differing engagement patterns in non-incentivized program participants, which can help inform program modifications in real-world settings. Lack of engagement and dropout continue to impede the potential effectiveness of mHealth interventions, and understanding patterns and predictors of engagement can enhance the impact of these programs.

Patient and provider communication about employment following a cancer diagnosis.

PURPOSE: Cancer treatment can precipitate functional limitations that restrict survivors' ability to work. Yet, it is unclear whether healthcare providers discuss the potential for employment limitations with their patients. We assessed the frequency of patient-provider communication about employment, from the perspectives of survivors, and examined whether receiving a treatment summary was associated with employment communication. METHODS: Cancer survivors who were working at diagnosis were identified from the Health Information National Trends Survey-4, conducted in 2014 (n = 290). Separate multivariable regression analyses examined the associations between survivor characteristics and employment communication and receipt of a treatment summary and employment communication. RESULTS: Among cancer survivors who were working at diagnosis, 62.69% (95% CI 54.42-70.95) reported discussing employment with any healthcare provider at any time since diagnosis. Younger cancer survivors and those more recently treated were more likely to ever have employment discussions. Survivors who received a treatment summary were also more likely to ever discuss employment with any healthcare provider than survivors who did not receive a treatment summary (OR = 3.47, 95% CI 1.02-11.84). CONCLUSIONS: Approximately two thirds of cancer survivors who were working at diagnosis ever discussed employment with a healthcare provider. Thus, for a sizable portion of cancer survivors, the potential impact of cancer on employment is never discussed with any healthcare provider. IMPLICATIONS FOR CANCER SURVIVORS: Efforts are needed to proactively screen patients for cancer-related work limitations, empower patients to discuss employment concerns with their healthcare providers, and develop interventions that support survivors' goals for working throughout treatment and recovery.

Electronic Health Information Exchange Opportunities for Self-management of Care: Responses from Older Adults With and Without Cancer History in the United States.

PURPOSE OF STUDY: Of 15.5 million US cancer survivors, 80% are ≥ 55 years. Supporting older patients in care self-management through electronic health information (EHI) exchange may enhance recovery. We assessed: (1) perceived importance of EHI access to adults ≥ 55 years (incl survivors) and (2) age-related preferences for EHI exchange. RECENT FINDINGS: Older adults are one of the fastest-growing user groups for internet/technologies. Most older adults 55-64 years are active internet users, and use among adults ≥ 65 years is growing quickly as baby boomers mature. Understanding EHI patient-provider exchange preferences may provide opportunities for older patients but also begin to address the future needs of other patient populations, including cancer survivors. We observed a "digital divide" for perceived importance of EHI access and EHI exchange interests. Engaging older adults (i.e., ≥ 75 years) to improve comfort/experience with technologies may support EHI use in self-management. Survivors may have distinct EHI needs/preferences than older adults without cancer history.

Processing of fallopian tube, ovary, and endometrial surgical pathology specimens: A survey of U.S. laboratory practices.

OBJECTIVE: Many high-grade serous carcinomas initiate in fallopian tubes as serous tubal intraepithelial carcinoma (STIC), a microscopic lesion identified with specimen processing according to the Sectioning and Extensive Examination of the Fimbria protocol (SEE-Fim). Given that the tubal origin of these cancers was recently recognized, we conducted a survey of pathology practices to assess processing protocols that are applied to gynecologic surgical pathology specimens in clinical contexts in which finding STIC might have different implications. METHODS: We distributed a survey electronically to the American Society for Clinical Pathology list-serve to determine practice patterns and compared results between practice types by chi-square (χ2) tests for categorical variables. Free text comments were qualitatively reviewed. RESULTS: Survey responses were received from 159 laboratories (72 academic, 87 non-academic), which reported diverse specimen volumes and percentage of gynecologic samples. Overall, 74.1% of laboratories reported performing SEE-Fim for risk-reducing surgical specimens (82.5% academic versus 65.7% non-academic, p < 0.05). In specimens from surgery for benign indications in which initial microscopic sections showed an unanticipated suspicious finding, 75.9% of laboratories reported using SEE-Fim to process the remainder of the specimen (94.8% academic versus 76.4% non-academic, p < 0.01), and 84.6% submitted the entire fimbriae. CONCLUSIONS: Changes in the theories of pathogenesis of high-grade serous carcinoma have led to implementation of pathology specimen processing protocols that include detailed analysis of the fallopian tubes. These results have implications for interpreting trends in cancer incidence data and considering the feasibility of developing a bank of gynecologic tissues containing STIC or early cancer precursors.

The Impact of Weight and Weight-Related Perceptions on Smoking Status Among Young Adults in a Text-Messaging Cessation Program.

Introduction: Weight gain and concerns about weight can influence a smoker's ability to successfully quit, and young adults are a subgroup of smokers who are particularly concerned about the impact of quitting on their body weight. This study explored the associations between body mass index, weight perceptions, and smoking status among young adults. Methods: The sample consisted of 4027 young adults between the ages of 18 and 29 who participated in a randomized control trial of the National Cancer Institute's SmokefreeTXT program. Multivariable logistic regression models were used to examine the associations between weight related variables and smoking status. Results: Obese participants had a 0.72 lower odds (95% CI: 0.62, 0.85) of reporting smoking at the end of the program than participants of normal weight, and this difference persisted over time. Weight perceptions were also associated with smoking status. Those who perceived themselves to be slightly underweight/underweight were more likely to report smoking than those who reported being just about the right weight (OR: 1.53, 95% CI: 1.20, 1.95), and those who strongly disagreed that smoking cigarettes helps people keep their weight down were less likely to report smoking at the end of treatment than those who neither agreed nor disagreed with this statement (OR: 0.69, 95% CI: 0.54, 0.87). Conclusions: Weight related factors assessed at baseline predicted smoking status at the end of treatment and through long term follow-up. Smoking cessation programs that tailor content to addresses the specific needs of weight concerned smokers may enhance effectiveness. Implications: This study explores the association between weight related factors and smoking status among young adults, a priority population for smoking cessation efforts. This study demonstrates that both actual weight and weight perceptions (eg, perception of body weight, perception of associations between smoking and weight) are associated with smoking outcomes, and thus need to be a considered in the development of smoking cessation programs.

Implicit theories of smoking and association with current smoking status.

Implicit theories of smoking refer to people's beliefs about whether smoking behavior is something that is changeable (incremental belief) or fixed (entity belief). This study examines implicit theories of smoking and its association with smoking behavior in a nationally representative sample of US adults using data from the Health Information National Trends Survey. The current results show that implicit theories of smoking are associated with smoking. Among former smokers, 90 percent endorsed an incremental belief about smoking compared to 70 percent of current smokers. Our study provides initial evidence for the role of implicit theories of smoking as a psychological factor associated with smoking behavior.

"We're Just Not Prepared for Eating Over Our Whole Life": A Mixed Methods Approach to Understanding Dietary Behaviors Among Longer Term Cancer Survivors.

BACKGROUND: In many countries, there are growing numbers of persons living with a prior diagnosis of cancer, due to the aging population and more successful strategies for treatment. There is also growing evidence of the importance of healthful diet and weight management for survivorship, yet many long-term cancer survivors are not successfully following recommendations. METHODS: We explored this issue in a mixed methods study with 53 adult survivors of 3 cancers (breast, prostate, and non-Hodgkin's lymphoma), living in Maryland. Participants provided three 24-hour dietary recalls, and results were used to classify respondents on 2 metrics of healthful eating (the Healthy Eating Index 2010, and a 9-item index based on current dietary recommendations). Recalls were also used to guide in-depth qualitative discussions with participants regarding self-assessment of dietary behaviors, healthful eating, and diet's importance in cancer prevention and survivorship. RESULTS: Survivors following a more healthful diet were more likely to be female, have greater socioeconomic resources, more years since diagnosis, normal weight, and no smoking history. Qualitative discussions revealed a more nuanced understanding of dietary strategies among healthful eaters, as well as the importance of household members in dietary decision making. DISCUSSION: Most survivors had received little nutrition counseling as part of their cancer care, highlighting the importance of holistic, household-oriented nutrition education for maintaining health among long-term cancer survivors.

Characterizing user engagement with health app data: a data mining approach.

The use of mobile health applications (apps) especially in the area of lifestyle behaviors has increased, thus providing unprecedented opportunities to develop health programs that can engage people in real-time and in the real-world. Yet, relatively little is known about which factors relate to the engagement of commercially available apps for health behaviors. This exploratory study examined behavioral engagement with a weight loss app, Lose It! and characterized higher versus lower engaged groups. Cross-sectional, anonymized data from Lose It! were analyzed (n = 12,427,196). This dataset was randomly split into 24 subsamples and three were used for this study (total n = 1,011,008). Classification and regression tree methods were used to identify subgroups of user engagement with one subsample, and descriptive analyses were conducted to examine other group characteristics associated with engagement. Data mining validation methods were conducted with two separate subsamples. On average, users engaged with the app for 29 days. Six unique subgroups were identified, and engagement for each subgroup varied, ranging from 3.5 to 172 days. Highly engaged subgroups were primarily distinguished by the customization of diet and exercise. Those less engaged were distinguished by weigh-ins and the customization of diet. Results were replicated in further analyses. Commercially-developed apps can reach large segments of the population, and data from these apps can provide insights into important app features that may aid in user engagement. Getting users to engage with a mobile health app is critical to the success of apps and interventions that are focused on health behavior change.

Cigarette smoking risk-reducing beliefs: Findings from the United States Health Information National Trends Survey.

Cigarette smoking risk-reducing beliefs are ideas that certain health promoting behaviors (e.g., exercise) may mitigate the risks associated with smoking. The objective of this study was to describe smoking risk-reducing beliefs and the belief that quitting can reduce the harmful effects of smoking among the U.S. adult population and the associations between these beliefs, current smoking status, and sociodemographics. Data were from the Health Information National Trends Survey 4 (HINTS 4) Cycles 3 and 4 (2013-2014; N=6862). Descriptive analyses were conducted to examine bivariate associations among the quit smoking belief, smoking risk-reducing beliefs, and covariates. Weighted ordinal logistic regression models examined the adjusted associations between smoking status and sociodemographics, with quit smoking belief and risk-reducing beliefs. Eighty-two percent of the population reported that quitting cigarette smoking can help reduce the harmful effects of smoking a lot: former smokers and individuals with higher educational attainment were more likely to endorse this belief than never smokers and those with lower educational attainment. Many people endorsed smoking risk-reducing beliefs about exercise (79.3%), fruits and vegetables (71.8%), vitamins (67.2%), and sleep (68.5%). Former smokers were less likely to subscribe to these beliefs than never smokers. Vulnerable populations who may be most at risk of smoking attributable morbidity and mortality were more likely to endorse risk-reducing beliefs. Future studies are needed to better understand how risk-reducing beliefs are formed and if modifying these beliefs may help to reduce cigarette smoking in the U.S.

Analysing user-reported data for enhancement of SmokefreeTXT: a national text message smoking cessation intervention.

OBJECTIVE: This observational study highlights key insights related to participant engagement and cessation among adults who voluntarily subscribed to the nationwide US-based SmokefreeTXT program, a 42-day mobile phone text message smoking cessation program. METHODS: Point prevalence abstinence rates were calculated for subscribers who initiated treatment in the program (n=18 080). The primary outcomes for this study were treatment completion and point prevalence abstinence rate at the end of the 42-day treatment. Secondary outcomes were point prevalence abstinence rates at 7 days postquit, 3 months post-treatment and 6 months post-treatment, as well as response rates to point prevalence abstinence assessments. RESULTS: Over half the sample completed the 42-day treatment (n=9686). The end-of-treatment point prevalence abstinence for subscribers who initiated treatment was 7.2%. Among those who completed the entire 42 days of treatment, the end-of-treatment point prevalence abstinence was 12.9%. For subscribers who completed treatment, point prevalence abstinence results varied: 7 days postquit (23.7%), 3 months post-treatment (7.3%) and 6 months post-treatment (3.7%). Response rates for abstinence assessment messages ranged from 4.36% to 34.48%. CONCLUSIONS: Findings from this study illuminate the need to more deeply understand reasons for subscriber non-response and opt out and, in turn, improve program engagement and our ability to increase the likelihood for participants to stop smoking and measure long-term outcomes. Patterns of opt out for the program mirror the relapse curve generally observed for smoking cessation, thus highlighting time points at which to increase efforts to retain participants and provide additional support or incentives.

Cancer survivors as activated patients: Exploring the relationship between cancer history and patient activation.

Many cancer survivors experience long-term physical and psychosocial sequalae. As such, there is a need for survivors to be activated and participate in their own health care. Our study explores the relationship between cancer history and patient activation. We used data from the 2013 Health Information National Trends Survey (N = 3185, response rate = 35.19%). Survivors had approximately 70% higher odds of being highly activated compared to those with no cancer history. Level of activation did not vary across time since diagnosis. Future research should examine mechanisms for increased activation in survivors and ways to encourage more activation behaviors.