Disseminating a smoking cessation intervention to childhood and young adult cancer survivors: baseline characteristics and study design of the partnership for health-2 study

A systematic review on eHealth technology personalization approaches

Despite the widespread use of personalization of eHealth technologies, there is a lack of comprehensive understanding regarding its application. This systematic review aims to bridge this gap by identifying and clustering different personalization approaches based on the type of variables used for user segmentation and the adaptations to the eHealth technology and examining the role of computational methods in the literature. From the 412 included reports, we identified 13 clusters of personalization approaches, such as behavior + channeling and environment + recommendations. Within these clusters, 10 computational methods were utilized to match segments with technology adaptations, such as classification-based methods and reinforcement learning. Several gaps were identified in the literature, such as the limited exploration of technology-related variables, the limited focus on user interaction reminders, and a frequent reliance on a single type of variable for personalization. Future research should explore leveraging technology-specific features to attain individualistic segmentation approaches.

Interventions to address disparities and barriers to pediatric cancer survivorship care: a scoping review

PURPOSE

Many childhood cancer survivors experience disparities due to barriers to recommended survivorship care. With an aim to demonstrate evidence-based approaches to alleviate barriers and decrease disparities, we conducted a scoping review of (1) proposed strategies and (2) evaluated interventions for improving pediatric cancer survivorship care.

METHODS

We searched research databases (PubMed, CINAHL, and PsycINFO), research registries, and grey literature (websites of professional organizations and guideline clearing houses) for guidelines and published studies available through October 2020 (scoping review registration: https://doi.org/10.17605/OSF.IO/D8Q7Y ).

RESULTS

We identified 16 proposed strategies to address disparities and barriers endorsed by professional organizations including clinical practice guidelines (N=9), policy statements (N=4), and recommendations (N=3). Twenty-seven published studies evaluated an intervention to alleviate disparities or barriers to survivorship care; however, these evaluated interventions were not well aligned with the proposed strategies endorsed by professional organizations. Most commonly, interventions evaluated survivorship care plans (N=11) or models of care (N=11) followed by individual survivorship care services (N=9). Interventions predominantly targeted patients rather than providers or systems and used technology, education, shared care, collaboration, and location-based interventions.

CONCLUSIONS

Published studies aimed at overcoming disparities and barriers to survivorship care for childhood cancer survivors revealed that gaps remain between published recommendations and empirical evaluations of interventions aiming to reduce barriers and disparities.

IMPLICATIONS FOR CANCER SURVIVORS

Additional research is needed to identify evidence-based interventions to improve survivorship care for childhood cancer survivors.

The State of the Science on Cancer Diagnosis as a "Teachable Moment" for Smoking Cessation: A Scoping Review

Theoretically, cancer diagnosis has potential to spur health behavior changes in physical activity, diet, substance use, medication adherence and the like. The Teachable Moment heuristic is a parsimonious, transtheoretical framework for understanding the conditions under which behavior change might occur, with constructs that include affective, cognitive, and social factors. Application of the Teachable Moment to smoking cessation after cancer diagnosis might aid selection of predictors in observational studies and inform how to optimally design interventions to promote quit attempts and sustain abstinence, as many smoking cessation interventions for cancer survivors do not yield positive outcomes. This scoping review of 47 studies that span nearly 20 years of literature examines measurement of the Teachable Moment constructs and what empirical support they have in explaining cancer survivors' smoking behavior. From this review, it appears the construct of affective response is more widely explored than risk perceptions, social role, and self-concept. Strong, negative affective responses (e.g., anxiety, general distress) may be a powerful contributor to continued smoking after cancer diagnosis. Risk perceptions may also play a role in smoking behavior, such that never and former smokers espouse stronger perceptions of smoking-related risks than current smokers. Finally, due to a paucity of studies, the role of cancer survivors' self-concept (e.g., identity as a "cancer survivor") and changes in their social role (e.g., employee, athlete) are unclear contributors to their smoking behavior. In summary, the Teachable Moment holds promise in its application to smoking cessation after cancer diagnosis, though more direct research is needed.

Covariates of risky health behaviors in pediatric cancer survivors during adolescence

PURPOSE

Adolescent survivors of pediatric cancers may use alcohol and tobacco (73-90% and 10-29%, respectively) at similar rates as their healthy peers despite known adverse health effects of these substances. This is concerning given that these behaviors can increase the risk for adverse late effects among this population. This study explores the beliefs and behaviors associated with alcohol and tobacco use among adolescent survivors of pediatric cancer.

DESIGN

Cross-sectional study using assessment questionnaires by telephone.

PARTICIPANTS

Adolescent cancer survivors who had been seen at Memorial Sloan Kettering Cancer Center (n = 128).

METHODS

Questionnaires concerned participants' medical history, current health behaviors, attitudes about health behaviors, fear of cancer recurrence, cancer worry, knowledge of risk, and perceived risk of future health problems. Univariate and multiple logistic regression analyses determined the association between psychological covariates with having ever used alcohol and cigarettes.

RESULTS

In multiple logistic regression, higher positive attitude (OR = 3.65; p < 0.001) toward alcohol use and lower knowledge of the risk of binge drinking (OR = 0.38; p < 0.05) were significantly related to alcohol use. Older age (OR = 1.55; p < 0.01), lower knowledge of the risks of smoking (0.41; p < 0.05), and the subjective norm that smoking is desirable to others (OR = 1.90; p < 0.05) were significantly related to cigarette use.

CONCLUSION AND IMPLICATIONS FOR PSYCHOSOCIAL PROVIDERS

Understanding the uptake of risky health behaviors and factors related to tobacco and alcohol use for adolescent survivors is imperative to promoting lifelong healthy behaviors and potentially reducing future adverse health effects. Despite broadly disseminated public service campaigns and anticipatory guidance of our cancer specialists to inform youth about the adverse effects of alcohol and tobacco use, there remains a gap in adolescent cancer survivors' knowledge of these risks. More effective interventions to increase knowledge of the risks of drinking and smoking are needed to bridge this gap.

The effectiveness of distance‐based interventions for smoking cessation and alcohol moderation among cancer survivors: A meta‐analysis

OBJECTIVE

The objective of this study is to evaluate current evidence for the effectiveness of distance-based interventions to support smoking cessation (SC) or alcohol moderation (AM) among cancer survivors. Secondary, differences in effectiveness are explored regarding multibehaviour interventions versus single-behaviour interventions targeting SC or AM only.

METHODS

A systematic search of PubMed, PsycINFO, Web of Science, EMBASE, CINAHL, and Cochrane Central Register of Controlled Trials was conducted. Intervention studies with and without control groups and randomized controlled trials were included. Random effects meta-analyses were conducted for the main outcomes: SC and AM rates at the follow-up closest to 6 months. Using subgroup analyses and meta-regression, effectiveness of single-behaviour versus multibehaviour interventions was evaluated.

RESULTS

A total of 17 studies with 3796 participants; nine studies on SC only, eight studies on multibehaviour interventions including an SC or AM module, and no studies on AM only were included. All studies had at least some concerns regarding bias. Distance-based SC interventions led to higher cessation rates than control conditions (10 studies, odds ratio [OR] = 1.56; 95% CI, 1.13-2.15, P = .007). Single-behaviour SC interventions reduced smoking rates compared with baseline (risk difference [RD] = 0.29; 95% CI, 0.19-0.39, P < .0001), but multibehaviour interventions did not (RD = 0.13; 95% CI, -0.05 to 0.31, P = 0.15). There was insufficient evidence that distance-based multibehaviour interventions reduced alcohol use compared with controls (three studies, standardized mean difference [SMD] = 0.12; 95% CI, -0.08 to 0.31, P = .24).

CONCLUSIONS

Distance-based SC interventions are effective in supporting SC among cancer survivors. Single-behaviour SC interventions appear more effective than multibehaviour interventions. No evidence was found for the effectiveness of distance-based AM interventions for cancer survivors.

Additional behavioural support as an adjunct to pharmacotherapy for smoking cessation

BACKGROUND

Pharmacotherapies for smoking cessation increase the likelihood of achieving abstinence in a quit attempt. It is plausible that providing support, or, if support is offered, offering more intensive support or support including particular components may increase abstinence further.

OBJECTIVES

To evaluate the effect of adding or increasing the intensity of behavioural support for people using smoking cessation medications, and to assess whether there are different effects depending on the type of pharmacotherapy, or the amount of support in each condition. We also looked at studies which directly compare behavioural interventions matched for contact time, where pharmacotherapy is provided to both groups (e.g. tests of different components or approaches to behavioural support as an adjunct to pharmacotherapy).

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, clinicaltrials.gov, and the ICTRP in June 2018 for records with any mention of pharmacotherapy, including any type of nicotine replacement therapy (NRT), bupropion, nortriptyline or varenicline, that evaluated the addition of personal support or compared two or more intensities of behavioural support.

SELECTION CRITERIA

Randomised or quasi-randomised controlled trials in which all participants received pharmacotherapy for smoking cessation and conditions differed by the amount or type of behavioural support. The intervention condition had to involve person-to-person contact (defined as face-to-face or telephone). The control condition could receive less intensive personal contact, a different type of personal contact, written information, or no behavioural support at all. We excluded trials recruiting only pregnant women and trials which did not set out to assess smoking cessation at six months or longer.

DATA COLLECTION AND ANALYSIS

For this update, screening and data extraction followed standard Cochrane methods. The main outcome measure was abstinence from smoking after at least six months of follow-up. We used the most rigorous definition of abstinence for each trial, and biochemically-validated rates, if available. We calculated the risk ratio (RR) and 95% confidence interval (CI) for each study. Where appropriate, we performed meta-analysis using a random-effects model.

MAIN RESULTS

Eighty-three studies, 36 of which were new to this update, met the inclusion criteria, representing 29,536 participants. Overall, we judged 16 studies to be at low risk of bias and 21 studies to be at high risk of bias. All other studies were judged to be at unclear risk of bias. Results were not sensitive to the exclusion of studies at high risk of bias. We pooled all studies comparing more versus less support in the main analysis. Findings demonstrated a benefit of behavioural support in addition to pharmacotherapy. When all studies of additional behavioural therapy were pooled, there was evidence of a statistically significant benefit from additional support (RR 1.15, 95% CI 1.08 to 1.22, I² = 8%, 65 studies, n = 23,331) for abstinence at longest follow-up, and this effect was not different when we compared subgroups by type of pharmacotherapy or intensity of contact. This effect was similar in the subgroup of eight studies in which the control group received no behavioural support (RR 1.20, 95% CI 1.02 to 1.43, I² = 20%, n = 4,018). Seventeen studies compared interventions matched for contact time but that differed in terms of the behavioural components or approaches employed. Of the 15 comparisons, all had small numbers of participants and events. Only one detected a statistically significant effect, favouring a health education approach (which the authors described as standard counselling containing information and advice) over motivational interviewing approach (RR 0.56, 95% CI 0.33 to 0.94, n = 378).

AUTHORS' CONCLUSIONS

There is high-certainty evidence that providing behavioural support in person or via telephone for people using pharmacotherapy to stop smoking increases quit rates. Increasing the amount of behavioural support is likely to increase the chance of success by about 10% to 20%, based on a pooled estimate from 65 trials. Subgroup analysis suggests that the incremental benefit from more support is similar over a range of levels of baseline support. More research is needed to assess the effectiveness of specific components that comprise behavioural support.

Tobacco treatment implementation within 28 commission on cancer accredited programs in the Northeast region of the USA: A pilot study

Cancer survivors are a rapidly growing population and an important target for tobacco treatment interventions. Continued smoking after the diagnosis of cancer is associated with a higher risk of cancer recurrence and mortality. Systematic tobacco cessation programs are effective. This study surveyed American College of Surgeons Commission on Cancer (CoC) programs in the Northeast region of the USA regarding their tobacco control programs. Seventy percent of cancer survivors are treated within CoC programs. The purpose of this study was to describe the extent of implementation of tobacco treatment and determine the organizational delivery of tobacco treatment as measured by the presence of goals to address smoking, leadership support, and integration of tobacco treatment guidelines into care delivery. Data were collected by a survey. The Assessment of Chronic Illness Care questionnaire was used to collect data on implementation of tobacco treatment services. Descriptive statistics were used to analyze the data. Most programs (78.6%) had an electronic health record and of these 68% captured smoking status. Implementation of tobacco treatment was not optimal for identifying smokers, providing patients with community linkages or self-care cessation support. Implementation of decision aides for pharmacotherapy and reassessment of smoking status were the least developed areas. Moreover, the organizational delivery for tobacco treatment was less than optimal. Many cancer programs have not implemented systems to deliver optimal tobacco treatment. Efforts should be made to help cancer programs develop sustainable system-wide programs that address the urgent need to deliver tobacco treatment to all cancer survivors.

Fear of cancer recurrence in adolescent and young adult cancer survivors: A systematic review of the literature

OBJECTIVE

The current systematic review aims to provide an overview of fear of cancer recurrence (FCR) in adolescent and young adult cancer survivors (15-39 years at cancer diagnosis, AYAs).

METHODS

MEDLINE, PubMed, PsycINFO, and Embase databases were independently searched to identify relevant quantitative articles. PRISMA systematic review procedures were followed with quality assessment.

RESULTS

Seventeen studies were included in the current review. All were quantitative studies that utilized a cross-sectional study design. Seven articles reported results of FCR prevalence, six studied determinants related to FCR, and 11 articles provided information about consequences of FCR. Prevalence of FCR ranged from 31% to 85.2% among AYA survivors. Associations between sociodemographic/clinical variables and FCR were inconsistent. Psychological distress and higher treatment intensity were positively associated with higher FCR levels. Lower scores on levels of physical, psychological functioning, and overall health-related quality of life (QoL) were identified as consequences of increased FCR.

CONCLUSION

FCR appears to be a prevalent concern among adolescent and young adult cancer populations. Adequate assessment to determine need for support and intervention is still required. Longitudinal studies in AYAs are warranted to understand the development and potential influence of FCR. Age-appropriate and flexible psychological care would be more successful potentially with this crucial background information.

Unemployment Following Childhood Cancer

BACKGROUND

Childhood cancer survivors are at risk of physical and mental long-term sequelae that may interfere with their employment situation in adulthood. We updated a systematic review from 2006 and assessed unemployment in adult childhood cancer survivors compared to the general population, and its predictors.

METHODS

Systematic literature searches for articles published between February 2006 and August 2016 were performed in CINAHL, EMBASE, PubMed, PsycINFO, and SocINDEX. We extracted unemployment rates in studies with and without population controls (controlled /uncontrolled studies). Unemployment in controlled studies was evaluated using a meta-analytic approach.

RESULTS

We included 56 studies, of which 27 were controlled studies. Approximately one in six survivors was unemployed. The overall meta-analysis of controlled studies showed that survivors were more likely to be unemployed than controls (Odds Ratio [OR] = 1.48, 95% confidence interval [CI]: [1.14; 1.93]). Elevated odds were found in survivors in the US and Canada (OR = 1.86, 95% CI: [1.26; 2.75]), as well as in Europe (OR = 1.39, 95% CI: [0.97; 1.97]). Survivors of brain tumors in particular were more likely to be unemployed (OR = 4.62, 95% CI: [2.56; 8.31]). Narrative synthesis across all included studies revealed younger age at study and diagnosis, female sex, radiotherapy, and physical late effects as further predictors of unemployment.

CONCLUSION

Childhood cancer survivors are at considerable risk of unemployment in adulthood. They may benefit from psycho-social care services along the cancer trajectory to support labor market integration.

Internet-based interventions for smoking cessation

BACKGROUND

Tobacco use is estimated to kill 7 million people a year. Nicotine is highly addictive, but surveys indicate that almost 70% of US and UK smokers would like to stop smoking. Although many smokers attempt to give up on their own, advice from a health professional increases the chances of quitting. As of 2016 there were 3.5 billion Internet users worldwide, making the Internet a potential platform to help people quit smoking.

OBJECTIVES

To determine the effectiveness of Internet-based interventions for smoking cessation, whether intervention effectiveness is altered by tailoring or interactive features, and if there is a difference in effectiveness between adolescents, young adults, and adults.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, which included searches of MEDLINE, Embase and PsycINFO (through OVID). There were no restrictions placed on language, publication status or publication date. The most recent search was conducted in August 2016.

SELECTION CRITERIA

We included randomised controlled trials (RCTs). Participants were people who smoked, with no exclusions based on age, gender, ethnicity, language or health status. Any type of Internet intervention was eligible. The comparison condition could be a no-intervention control, a different Internet intervention, or a non-Internet intervention. To be included, studies must have measured smoking cessation at four weeks or longer.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed and extracted data. We extracted and, where appropriate, pooled smoking cessation outcomes of six-month follow-up or more, reporting short-term outcomes narratively where longer-term outcomes were not available. We reported study effects as a risk ratio (RR) with a 95% confidence interval (CI).We grouped studies according to whether they (1) compared an Internet intervention with a non-active control arm (e.g. printed self-help guides), (2) compared an Internet intervention with an active control arm (e.g. face-to-face counselling), (3) evaluated the addition of behavioural support to an Internet programme, or (4) compared one Internet intervention with another. Where appropriate we grouped studies by age.

MAIN RESULTS

We identified 67 RCTs, including data from over 110,000 participants. We pooled data from 35,969 participants.There were only four RCTs conducted in adolescence or young adults that were eligible for meta-analysis.Results for trials in adults: Eight trials compared a tailored and interactive Internet intervention to a non-active control. Pooled results demonstrated an effect in favour of the intervention (RR 1.15, 95% CI 1.01 to 1.30, n = 6786). However, statistical heterogeneity was high (I2 = 58%) and was unexplained, and the overall quality of evidence was low according to GRADE. Five trials compared an Internet intervention to an active control. The pooled effect estimate favoured the control group, but crossed the null (RR 0.92, 95% CI 0.78 to 1.09, n = 3806, I2 = 0%); GRADE quality rating was moderate. Five studies evaluated an Internet programme plus behavioural support compared to a non-active control (n = 2334). Pooled, these studies indicated a positive effect of the intervention (RR 1.69, 95% CI 1.30 to 2.18). Although statistical heterogeneity was substantial (I2 = 60%) and was unexplained, the GRADE rating was moderate. Four studies evaluated the Internet plus behavioural support compared to active control. None of the studies detected a difference between trial arms (RR 1.00, 95% CI 0.84 to 1.18, n = 2769, I2 = 0%); GRADE rating was moderate. Seven studies compared an interactive or tailored Internet intervention, or both, to an Internet intervention that was not tailored/interactive. Pooled results favoured the interactive or tailored programme, but the estimate crossed the null (RR 1.10, 95% CI 0.99 to 1.22, n = 14,623, I2 = 0%); GRADE rating was moderate. Three studies compared tailored with non-tailored Internet-based messages, compared to non-tailored messages. The tailored messages produced higher cessation rates compared to control, but the estimate was not precise (RR 1.17, 95% CI 0.97 to 1.41, n = 4040), and there was evidence of unexplained substantial statistical heterogeneity (I2 = 57%); GRADE rating was low.Results should be interpreted with caution as we judged some of the included studies to be at high risk of bias.

AUTHORS' CONCLUSIONS

The evidence from trials in adults suggests that interactive and tailored Internet-based interventions with or without additional behavioural support are moderately more effective than non-active controls at six months or longer, but there was no evidence that these interventions were better than other active smoking treatments. However some of the studies were at high risk of bias, and there was evidence of substantial statistical heterogeneity. Treatment effectiveness in younger people is unknown.

Media Use and the Cancer Communication Strategies of Cancer Survivors

Communication related to health not only substantially affects perceptions and behaviors related to health but is also positively associated with the extent of health-information seeking and the practice of preventive behavior. Despite the fact that the number of cancer survivors has increased dramatically, there are few studies of the lack of health information, factors which act as barriers, and the difficulties in follow-up care experienced by cancer survivors. Therefore, we reviewed media utilization and the types of media used by cancer survivors with regard to risk communication and suggested appropriate strategies for cancer communication. According to the results, health communication contributed to health promotion by providing health-related information, consolidating social support factors such as social solidarity and trust, and reducing anxiety. In particular, participatory health communication may establish preventive programs which reflect the needs of communities, expand accessibility to better quality healthcare, and intensify healthy living by reducing health inequalities. Therefore, when people do not have an intention to obtain cancer screening, we need to intervene to change their behavior, norms, and degrees of self-efficacy. The findings of this study may help those involved in building partnerships by assisting in their efforts to understand and communicate with the public.

Health Promoting Lifestyle Among Israeli Adult Survivors of Childhood Cancer

Background: Childhood cancer survivors are at risk for recurrence of their primary cancer as well as other secondary site cancers. The survivors are also at increased risk for long-term effects such as chronic illnesses. Health promoting lifestyles are therefore especially important for childhood cancer survivors. The purpose of the study was to describe the health promoting behaviors of childhood cancer survivors and to determine whether these behaviors are associated with demographic and clinical characteristics. This is a descriptive-comparative study that took place in an oncology follow-up clinic in Israel. Sample: Seventy-seven childhood cancer survivors. Tools: Health Promoting Lifestyle Profile 2, questionnaire (interpersonal relationships, spiritual growth, physical activity, nutrition, health responsibility, and stress management), and smoking and alcohol consumption and a demographic–clinical questionnaire. The mean item score was moderate-high. Survivors scored highest on interpersonal relationships and spiritual growth while the lowest scoring activities were physical activity and nutrition. About 30% of the survivors abstained from smoking and alcohol consumption. Women, as opposed to men, were more likely to have higher scores related to nutrition and interpersonal relationships while singles as opposed to those who were married were found to have higher scores related to spiritual growth. Conclusions: Health behaviors associated with interpersonal relationships and spiritual growth were more likely to be performed compared to physical activity, good nutrition, and decreased smoking and alcohol consumption. Special attention should be placed on promoting physical activity and good nutrition among survivors of childhood cancer.

Additional behavioural support as an adjunct to pharmacotherapy for smoking cessation

BACKGROUND

Effective pharmacotherapies are available to help people who are trying to stop smoking, but quitting can still be difficult and providing higher levels of behavioural support may increase success rates further.

OBJECTIVES

To evaluate the effect of increasing the intensity of behavioural support for people using smoking cessation medications, and to assess whether there are different effects depending on the type of pharmacotherapy, or the amount of support in each condition.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register in May 2015 for records with any mention of pharmacotherapy, including any type of nicotine replacement therapy (NRT), bupropion, nortriptyline or varenicline that evaluated the addition of personal support or compared two or more intensities of behavioural support.

SELECTION CRITERIA

Randomized or quasi-randomized controlled trials in which all participants received pharmacotherapy for smoking cessation and conditions differed by the amount of behavioural support. The intervention condition had to involve person-to-person contact. The control condition could receive less intensive personal contact, or just written information. We did not include studies that used a contact-matched control to evaluate differences between types or components of support. We excluded trials recruiting only pregnant women, trials recruiting only adolescents, and trials with less than six months follow-up.

DATA COLLECTION AND ANALYSIS

One author prescreened search results and two authors agreed inclusion or exclusion of potentially relevant trials. One author extracted data and another checked them.The main outcome measure was abstinence from smoking after at least six months of follow-up. We used the most rigorous definition of abstinence for each trial, and biochemically-validated rates if available. We calculated the risk ratio (RR) and 95% confidence interval (CI) for each study. Where appropriate, we performed meta-analysis using a Mantel-Haenszel fixed-effect model.

MAIN RESULTS

Forty-seven studies met the inclusion criteria with over 18,000 participants in the relevant arms. There was little evidence of statistical heterogeneity (I² = 18%) so we pooled all studies in the main analysis. There was evidence of a small but statistically significant benefit from more intensive support (RR 1.17, 95% CI 1.11 to 1.24) for abstinence at longest follow-up. All but four of the included studies provided four or more sessions of support to the intervention group. Most trials used NRT. We did not detect significant effects for studies where the pharmacotherapy was nortriptyline (two trials) or varenicline (one trial), but this reflects the absence of evidence.In subgroup analyses, studies that provided at least four sessions of personal contact for the intervention and no personal contact for the control had slightly larger estimated effects (RR 1.25, 95% CI 1.08 to 1.45; 6 trials, 3762 participants), although a formal test for subgroup differences was not significant. Studies where all intervention counselling was via telephone (RR 1.28, 95% CI 1.17 to 1.41; 6 trials, 5311 participants) also had slightly larger effects, and the test for subgroup differences was significant, but this subgroup analysis was not prespecified. In this update, the benefit of providing additional behavioural support was similar for the subgroup of trials in which all participants, including controls, had at least 30 minutes of personal contact (RR 1.18, 95% CI 1.06 to 1.32; 21 trials, 5166 participants); previously the evidence of benefit in this subgroup had been weaker. This subgroup was not prespecified and a test for subgroup differences was not significant. We judged the quality of the evidence to be high, using the GRADE approach. We judged a small number of trials to be at high risk of bias on one or more domains, but findings were not sensitive to their exclusion.

AUTHORS' CONCLUSIONS

Providing behavioural support in person or via telephone for people using pharmacotherapy to stop smoking has a small but important effect. Increasing the amount of behavioural support is likely to increase the chance of success by about 10% to 25%, based on a pooled estimate from 47 trials. Subgroup analysis suggests that the incremental benefit from more support is similar over a range of levels of baseline support.

Health Behaviors of Childhood Cancer Survivors

There has been a dramatic increase in the number of childhood cancer survivors living to an old age due to improved cancer treatments. However, these survivors are at risk of numerous late effects as a result of their cancer therapy. Engaging in protective health behaviors and limiting health damaging behaviors are vitally important for these survivors given their increased risks. We reviewed the literature on childhood cancer survivors’ health behaviors by searching for published data and conference proceedings. We examine the prevalence of a variety of health behaviors among childhood cancer survivors, identify significant risk factors, and describe health behavior interventions for survivors.

Perceptions of risk among childhood and young adult cancer survivors who smoke

PURPOSE

Despite the fact that childhood and young adult cancer survivors are at increased risk for chronic health problems as a result of their cancer treatment, many use tobacco, thereby increasing their risks. Perceptions of risk related to tobacco use can be targeted for interventions aimed at improving health behaviors for childhood, adolescent, and young adult cancer survivors. Understanding the covariates of perceptions of health risks among young adult survivors who smoke will help to determine targets for intervention.

METHOD

Three hundred seventy-four participants who were diagnosed with cancer prior to age 35, currently between 18 and 55 years of age, and current smokers were recruited as part of a larger smoking cessation study, Partnership for Health-2 (PFH-2). Data were collected by telephone survey.

RESULTS

Overall, women had the highest perception of risk for serious health problems, a second cancer, and heart problems. Additionally, those participants who were dependent on nicotine endorsed that they were at higher risk of serious health problems and second cancers, but not heart problems. Finally, Hodgkin lymphoma survivors reported that they were at increased risk for second cancers and heart problems compared to their “healthy” peers.

CONCLUSION

Young adult cancer survivors who smoke correctly perceived some of their increased health risks. Additional motivation and education is needed for those young adult cancer survivors who perceive their increased health risks yet continue to smoke. Further education is needed for young survivors so they have a fully appropriate sense of risk, especially as it relates to their tobacco use.

Health media use among childhood and young adult cancer survivors who smoke

PURPOSE

Promoting healthy behaviors may reduce the risk of co-morbidities among childhood and young adult (CYA) cancer survivors. Although behavioral interventions are one way to encourage such activities, there is increasing evidence that health media use-particularly health information seeking-also may influence health knowledge, beliefs, and behaviors. The current study explores patterns of health media use among survivors of CYA cancer. Our focus is on survivors who smoke and thus are at even greater risk of co-morbidities.

METHODS

We analyzed data from the Partnership for Health-2 study, a web-based smoking cessation intervention, to examine the prevalence of and factors associated with health media use (N = 329).

RESULTS

Nearly two thirds (65.3 %) of CYA survivors who smoke reported infrequent or no online health information seeking. Many reported never reading health sections of newspapers or general magazines (46.2 %) or watching health segments on local television news (32.3 %). Factors associated with health media use include education and employment, cancer-related distress, and smoking quit attempts.

CONCLUSIONS

Health information engagement is low among CYA survivors who smoke, particularly active seeking of health information online. Population subgroups differ in their media use patterns; some of these differences reflect communication inequalities, which have the potential to exacerbate health disparities. Clinicians have an opportunity to guide CYA survivors towards useful and reliable information sources. This guidance could help survivors fulfill their unmet information and support needs and may be particularly important for less educated survivors and other underserved populations.

Partnership for health-2, a web-based versus print smoking cessation intervention for childhood and young adult cancer survivors: randomized comparative effectiveness study

BACKGROUND

Smoking among cancer survivors increases the risk of late effects and second cancers. This article reports on Partnership for Health-2 (PFH-2)-an effort to develop an effective and scalable version of Partnership for Health (PFH), which was a previously tested peer-delivered telephone counseling program that doubled smoking cessation rates among childhood cancer survivors who smoke.

OBJECTIVE

This paper presents results from a randomized controlled trial evaluating the effectiveness of PFH-2 in targeted and tailored Web-based versus print formats. The overall goal was to determine whether the intervention outcomes in these self-guided scalable formats approximate what was found in a more intensive telephone counseling program.

METHODS

This study was a randomized controlled trial with a 15-month follow-up that included 374 smokers who were survivors of childhood or young adult cancers, recruited from five survivorship clinics. Participants were randomly assigned to a Web-based or print format of the PFH intervention; all had access to free pharmacotherapy. The website was designed to provide new content at each log-on, and a peer counselor moderated a forum/chat feature. The primary outcome was smoking status at 15 months post randomization.

RESULTS

In total, 58.3% (77/132) of Web participants logged on at least once (mean visits 3.25). Using multiple imputation methods for missing data, there were similar rates of cessation in the two arms (print: 20/128, 15.6%; Web: 33/201, 6.4%), and no differences in quit attempts or readiness to quit. The quit rates were equivalent to those found in our previous telephone counseling intervention. There were high rates of satisfaction with both of the PFH-2 interventions.

CONCLUSIONS

The print and Web formats yielded equivalent levels of success to those found with our telephone-delivered intervention and are comparable to other Internet treatment studies. This study provides important options for survivorship programs that may not have resources for interpersonal forms of cessation counseling. Efforts to increase patient use of the interventions may result in higher cessation rates.

Provider advice about smoking cessation and pharmacotherapy among cancer survivors who smoke: practice guidelines are not translating

Smoking among childhood and young adult cancer survivors may increase risk for late effects of treatment, and survivors need assistance in quitting. This paper reports on the prevalence of discussions between childhood cancer survivors and their health care providers about smoking cessation and pharmacotherapy and explores factors that are associated with these discussions. This is a longitudinal study that included 329 smokers who were childhood or young adult cancer survivors, recruited from five cancer centers in the USA and Canada. Fifty-five percent of smokers reported receiving advice to quit smoking from their regular provider during the study period, and only 36 % of smokers reported discussing pharmacotherapy with their provider. Receipt of advice was associated with being female and having a heavier smoking rate. Pharmacotherapy discussions were associated with readiness to quit, heavier smoking rate, and previous provider advice to quit. Health care providers are missing key opportunities to advise cancer survivors about cessation and evidence-based interventions. Systematic efforts are needed to ensure that survivors who smoke get the treatment that they need.

Internet-based interventions for smoking cessation

BACKGROUND

The Internet is now an indispensable part of daily life for the majority of people in many parts of the world. It offers an additional means of effecting changes to behaviour such as smoking.

OBJECTIVES

To determine the effectiveness of Internet-based interventions for smoking cessation.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialized Register. There were no restrictions placed on language of publication or publication date. The most recent search was conducted in April 2013.

SELECTION CRITERIA

We included randomized and quasi-randomized trials. Participants were people who smoked, with no exclusions based on age, gender, ethnicity, language or health status. Any type of Internet intervention was eligible. The comparison condition could be a no-intervention control, a different Internet intervention, or a non-Internet intervention.

DATA COLLECTION AND ANALYSIS

Two authors independently assessed and extracted data. Methodological and study quality details were extracted using a standardized form. We extracted smoking cessation outcomes of six months follow-up or more, reporting short-term outcomes where longer-term outcomes were not available. We reported study effects as a risk ratio (RR) with a 95% confidence interval (CI). Clinical and statistical heterogeneity limited our ability to pool studies.

MAIN RESULTS

This updated review includes a total of 28 studies with over 45,000 participants. Some Internet programmes were intensive and included multiple outreach contacts with participants, whilst others relied on participants to initiate and maintain use.Fifteen trials compared an Internet intervention to a non-Internet-based smoking cessation intervention or to a no-intervention control. Ten of these recruited adults, one recruited young adult university students and two recruited adolescents. Seven of the trials in adults had follow-up at six months or longer and compared an Internet intervention to usual care or printed self help. In a post hoc subgroup analysis, pooled results from three trials that compared interactive and individually tailored interventions to usual care or written self help detected a statistically significant effect in favour of the intervention (RR 1.48, 95% CI 1.11 to 2.78). However all three trials were judged to be at high risk of bias in one domain and high statistical heterogeneity was detected (I² = 53%), with no obvious clinical explanation. Pooled results from two studies of an interactive, tailored intervention involving the Internet and automated phone contacts also detected a significant effect (RR 2.05, 95% CI 1.42 to 2.97, I² = 42%). Results from a sixth study comparing an interactive but non-tailored intervention to control did not detect a significant effect, nor did the seventh study, which compared a non-interactive, non-tailored intervention to control. Three trials comparing Internet interventions to face-to-face or phone counselling also did not detect evidence of an effect, nor did two trials evaluating Internet interventions as adjuncts to other behavioural interventions. A trial in college students increased point prevalence abstinence after 30 weeks but had no effect on sustained abstinence. Two small trials in adolescents did not detect an effect on cessation compared to control.Fourteen trials, all in adult populations, compared different Internet sites or programmes. Pooled estimates from three trials that compared tailored and/or interactive Internet programmes with non-tailored, non-interactive Internet programmes did not detect evidence of an effect (RR 1.12, 95% CI 0.95 to 1.32, I² = 0%). One trial detected evidence of a benefit from a tailored email compared to a non-tailored one, whereas a second trial comparing tailored messages to a non-tailored message did not detect evidence of an effect. Trials failed to detect a benefit of including a mood management component (three trials), or an asynchronous bulletin board.

AUTHORS' CONCLUSIONS

Results suggest that some Internet-based interventions can assist smoking cessation at six months or longer, particularly those which are interactive and tailored to individuals. However, the trials that compared Internet interventions with usual care or self help did not show consistent effects and were at risk of bias. Further research is needed despite 28 studies on the subject. Future studies should carefully consider optimising the interventions which promise most effect such as tailoring and interactivity.

Health promotion for adolescent childhood leukemia survivors: building on prevention science and ehealth

Teenage survivors of childhood acute lymphoblastic leukemia (ALL) have increased morbidity likely due to their prior multicomponent treatment. Habits established in adolescence can impact individuals' subsequent adult behaviors. Accordingly, healthy lifestyles, avoiding harmful actions, and appropriate disease surveillance are of heightened importance among teenage survivors. We review the findings from prevention science and their relevance to heath promotion. The capabilities and current uses of eHealth components including e-learning, serious video games, exergaming, behavior tracking, individual messaging, and social networking are briefly presented. The health promotion needs of adolescent survivors are aligned with those eHealth aspects to propose a new paradigm to enhance the wellbeing of adolescent ALL survivors.

Smoking Cessation Interventions and Cessation Rates in the Oncology Population

Objectives

To evaluate tobacco smoking cessation interventions and cessation rates in the oncology population through a systematic review and meta-analysis.

Data Sources

The literature was searched using PubMed, Google Scholar, Medline, EMBASE, and the Cochrane Library (inception to October 2012) by 3 independent review authors.

Review Methods

Studies were included if they were randomized controlled trials (RCTs) or prospective cohort (PCs) studies evaluating tobacco smoking cessation interventions with patients assigned to a usual care or an intervention group. The primary outcome measure was smoking cessation rates. Two authors extracted data independently for each study. When applicable, disagreements were resolved by consensus.

Results

The systematic review identified 10 RCTs and 3 PCs. Statistical analysis was conducted using StatsDirect software (Cheshire, UK). Pooled odds ratios (ORs) for smoking cessation interventions were calculated in 2 groups based on follow-up duration. The therapeutic interventions included counseling, nicotine replacement therapy, buproprion, and varenicline. Smoking cessation interventions had a pooled odds ratio of 1.54 (95% confidence interval [CI], 0.909-2.64) for patients in the shorter follow-up group and 1.31 (95% CI, 0.931-1.84) in the longer follow-up group. Smoking cessation interventions in the perioperative period had a pooled odds ratio of 2.31 (95% CI, 1.32-4.07).

Conclusion

Our systematic review and meta-analysis demonstrate that tobacco cessation interventions in the oncology population, in both the short-term and long-term follow-up groups, do not significantly affect cessation rates. The perioperative period, though, may represent an important teachable moment with regard to smoking cessation.

Eight ways to stay healthy after cancer: an evidence-based message

PURPOSE

Since 1999, in conjunction with the internationally known and award-winning Your Disease Risk ( yourdiseaserisk.org ) risk assessment tool, the "Eight Ways to Stay Healthy and Prevent Cancer" message campaign has provided an evidence-based, but user-friendly, approach to cancer prevention. The scientific evidence behind the campaign is robust and while not a complete list, provides a great deal of benefit in the reduction of cancer risk. With 12 million cancer survivors in the United States, there is a need for a parallel set of recommendations that oncologists and primary care providers may routinely use for individuals following a cancer diagnosis focused on improving the quantity and quality of life after diagnosis. With increasing survival rates and many cancer survivors dying from noncancer causes, survivorship care necessarily focuses on more than just risk of cancer recurrence and cancer-related mortality.

METHODS

To provide a foundation for living a healthy life after a cancer diagnosis, we developed a set of evidence-based health messages for cancer survivors. "Cancer Survivors' Eight Ways to Stay Healthy After Cancer," published by the Siteman Cancer Center at Washington University School of Medicine and Barnes Jewish Hospital, documents both the evidence supporting the recommendations as well as tips for implementing them.

RESULTS

The one-line summary messages are: (1) don't smoke, (2) avoid secondhand smoke, (3) exercise regularly, (4) avoid weight gain, (5) eat a healthy diet, (6) drink alcohol in moderation, if at all, (7) stay connected with friends, family, and other survivors, (8) get screening tests and go to your regular checkups.

CONCLUSIONS

The cancer survivors' eight ways are the foundation for an evidence-based health promotion program for survivors.

Smoking Restrictions Among Households of Childhood and Young Adult Cancer Survivors: Implications for Tobacco Control Efforts

PURPOSE

This study assessed the prevalence of smoking restrictions among households of survivors of childhood and young adult cancer who smoke. It also examined the relationship between home smoking restrictions and motivation to quit smoking, as well as other smoking, psychosocial, and environmental factors.

METHODS

Participants included 374 smokers who were childhood or young adult cancer survivors (between the ages of 18 and 55 years) recruited from five cancer centers to participate in a randomized smoking cessation trial. Survivors completed baseline measures about the smoking restrictions in their households, their smoking behavior, and related psychological and environmental factors, which are the focus of the current manuscript.

RESULTS

Almost 54% of survivors reported that smoking was prohibited in their households. Living with a nonsmoking partner, having a strict smoking policy at work, and not being nicotine dependent all increased the likelihood of having a total home smoking ban. Participants who were older, smoked more cigarettes per day over the prior week, and received prior chemotherapy were less likely to reside in households that adopted total bans.

CONCLUSION

Findings suggest that socio-environmental factors and current smoking behaviors are associated with complete smoking restrictions in the homes of survivors. These factors should be considered when communicating with survivors about the importance of establishing strict smoking policies in their private residences.

Internet use among childhood and young adult cancer survivors who smoke: implications for cessation interventions

OBJECTIVE

To identify patterns of Internet use among childhood and young adult cancer survivors who smoke.

METHODS

Baseline assessment data were collected from 2005 to 2008 for the Partnership for Health-2 (PFH-2) study, a web-based smoking cessation intervention for childhood and young adult cancer survivors. Participants were surveyed about their Internet access and use. Sociodemographic, clinical, and psychosocial data also were collected.

RESULTS

Internet access and use was widespread among PFH-2 participants. However, older, less-educated, and female survivors reported less frequent Internet use, even when they had access to the Internet at home and/or at work. These associations were significant in multivariable analyses.

CONCLUSIONS

Although the digital divide is narrowing, Internet use and engagement remains socially patterned. web-based prevention interventions are a promising method of reaching this geographically dispersed, high-risk population, but certain subgroups-particularly older and lower socioeconomic status survivors-might be missed by this approach.