Peer-delivered smoking counseling for childhood cancer survivors increases rate of cessation: the partnership for health study

Barriers, facilitators, and other factors associated with health behaviors in childhood, adolescent, and young adult cancer survivors: A systematic review

BACKGROUND

Healthy behaviors are paramount in preventing long-term adverse health outcomes in childhood, adolescent, and young adult (CAYA) cancer survivors. We systematically reviewed and synthesized existing literature on barriers, facilitators, and other factors associated with health behaviors in this population.

METHODS

MEDLINE and PsycInfo were searched for qualitative and quantitative studies including survivors aged 16-50 years at study, a cancer diagnosis ≤25 years and ≥2 years post diagnosis. Health behaviors included physical activity, smoking, diet, alcohol consumption, sun exposure, and a combination of these behaviors (defined as health behaviors in general).

RESULTS

Barriers, facilitators, and other factors reported in ≥2 two studies were considered relevant. Out of 4529 studies, 27 were included (n = 31,905 participants). Physical activity was the most frequently examined behavior (n = 12 studies), followed by smoking (n = 7), diet (n = 7), alcohol (n = 4), sun exposure (n = 4), and health behavior in general (n = 4). Relevant barriers to physical activity were fatigue, lack of motivation, time constraints, and current smoking. Relevant facilitators were perceived health benefits and motivation. Influence of the social environment and poor mental health were associated with more smoking, while increased energy was associated with less smoking. No relevant barriers and facilitators were identified for diet, alcohol consumption, and sun exposure. Barriers to healthy behavior in general were unmet information needs and time constraints whereas lifestyle advice, information, and discussions with a healthcare professional facilitated healthy behavior in general. Concerning other factors, women were more likely to be physically inactive, but less likely to drink alcohol and more likely to comply with sun protection recommendations than men. Higher education was associated with more physical activity, and lower education with more smoking.

CONCLUSION

This knowledge can be used as a starting point to develop health behavior interventions, inform lifestyle coaches, and increase awareness among healthcare providers regarding which survivors are most at risk of unhealthy behaviors.

Protocol for the 'Supporting Young Cancer Survivors who Smoke' study (PRISM): Informing the development of a smoking cessation intervention for childhood, adolescent and young adult cancer survivors in England

BACKGROUND

Childhood, adolescent and young adult (CAYA) cancer survivors are vulnerable to adverse late-effects. For CAYA cancer survivors, tobacco smoking is the most important preventable cause of ill-health and early death. Yet, effective strategies to support smoking cessation in this group are lacking. The PRISM study aims to undertake multi-method formative research to explore the need for, and if appropriate, inform the future development of an evidence-based and theory-informed tobacco smoking cessation intervention for CAYA cancer survivors.

MATERIALS AND METHODS

PRISM involves three phases of: 1) an environmental scan using multiple strategies to identify and examine a) smoking cessation interventions for CAYA cancer survivors that are published in the international literature and b) current smoking cessation services in England that may be available to, or tailorable to, CAYA cancer survivors; 2) a qualitative study involving semi-structured interviews with CAYA cancer survivors (aged 16-29 years and who are current or recent ex-smokers and/or current vapers) to explore their views and experiences of smoking, smoking cessation and vaping; and 3) stakeholder workshops with survivors, healthcare professionals and other stakeholders to consider the potential for a smoking cessation intervention for CAYA cancer survivors and what such an intervention would need to target and change. Findings will be disseminated to patient groups, healthcare professionals and researchers, through conference presentations, journal papers, plain English summaries and social media.

DISCUSSION

PRISM will explore current delivery of, perceived need for, and barriers and facilitators to, smoking cessation advice and support to CAYA cancer survivors from the perspective of both survivors and healthcare professionals. A key strength of PRISM is the user involvement throughout the study and the additional exploration of survivors' views on vaping, a behaviour which often co-occurs with smoking. PRISM is the first step in the development of a person-centred, evidence- and theory-based smoking cessation intervention for CAYA cancer survivors who smoke, which if effective, will reduce morbidity and mortality in the CAYA cancer survivor population.

Healthcare utilization and cost barriers among U.S. childhood cancer survivors

BACKGROUND

To evaluate healthcare utilization and cost barrier patterns among childhood cancer survivors (CCS) compared with noncancer controls.

PROCEDURE

Using the 2014-2019 Behavioral Risk Factor Surveillance System, we identified CCS < 50 years and matched controls. We used chi-squared tests to compare characteristics between the two groups. Logistic regression analyses were used to assess the likelihood of having a checkup, receiving influenza vaccine, and experiencing healthcare cost barriers (being unable to see the doctor due to cost) during the past 12 months. Conditional models accounted for the matching.

RESULTS

We included 231 CCS and 692 controls. CCS had lower household income (p < 0.001), lower educational attainment (p = 0.021), more chronic health conditions (p < 0.001), and a higher proportion of being current smokers (p = 0.005) than controls. Both groups had similar rates of having a checkup and influenza vaccine; however, a quarter of CCS experienced healthcare cost barriers compared with 13.9% in controls (p = 0.001; regression findings: adjusted odds ratio (aOR) = 1.72, 95% confidence interval (CI): 1.11-2.65). Compared with the youngest CCS group (18-24 years), CCS ages 25-29 years were five times more likely to experience healthcare cost barriers (aOR = 4.79; 95% CI, 1.39-16.54). Among CCS, current smokers were less likely to have a checkup (aOR = 0.46; 95% CI, 0.23-0.94). Uninsured CCS were less likely to have a checkup (aOR = 0.33; 95% CI, 0.14-0.75) and ∼8 times more likely to experience healthcare cost barriers (aOR = 8.28; 95% CI, 3.45-19.88).

CONCLUSION

CCS being 25-29 years, uninsured, or current smokers encounter inferior outcomes in healthcare utilization and cost barriers. We suggest emphasis on programs on care transition and smoking cessation for CCS.

What is the volume, diversity and nature of recent, robust evidence for the use of peer support in health and social care? An evidence and gap map

Background

Peer support interventions involve people drawing on shared personal experience to help one another improve their physical or mental health, or reduce social isolation. If effective, they may also lessen the demand on health and social care services, reducing costs. However, the design and delivery of peer support varies greatly, from the targeted problem or need, the setting and mode of delivery, to the number and content of sessions. Robust evidence is essential for policymakers commissioning peer support and practitioners delivering services in health care and community settings. This map draws together evidence on different types of peer support to support the design and delivery of interventions.

Objectives

The aim of this map was to provide an overview of the volume, diversity and nature of recent, high quality evidence on the effectiveness and cost-effectiveness of the use of peer support in health and social care.

Search Methods

We searched MEDLINE, seven further bibliographic databases, and Epistemonikos for systematic reviews (in October 2020), randomised controlled trials (in March 2021) and economic evaluations (in May 2021) on the effectiveness of peer support interventions in health and social care. We also conducted searches of Google Scholar, two trial registers, PROSPERO, and completed citation chasing on included studies.

Selection Criteria

Systematic reviews, randomised controlled trials and economic evaluations were included in the map. Included studies focused on adult populations with a defined health or social care need, were conducted in high-income countries, and published since 2015. Any measure of effectiveness was included, as was any form of peer support providing the peer had shared experience with the participant and a formalised role.

Data Collection and Analysis

Data were extracted on the type of peer support intervention and outcomes assessed in included studies. Standardised tools were used to assess study quality for all studies: assessing the methodological quality of systematic reviews 2 for systematic reviews; Cochrane risk of bias tool for randomised controlled trials; and consensus health economic criteria list for economic evaluations.

Main Results

We included 91 studies: 32 systematic reviews; 52 randomised controlled trials; and 7 economic evaluations. Whilst most included systematic reviews and economic evaluations were assessed to be of low or medium quality, the majority of randomised controlled trials were of higher quality. There were concentrations of evidence relating to different types of peer support, including education, psychological support, self-care/self-management and social support. Populations with long-term health conditions were most commonly studied. The majority of studies measured health-related indicators as outcomes; few studies assessed cost-effectiveness. Studies were unevenly distributed geographically, with most being conducted in the USA. Several gaps were evident regarding the delivery of peer support, particularly the integration of peers and professionals in delivering support and interventions of longer duration.

Authors' Conclusions

Although there is evidence available to inform the commissioning and delivery of peer support in health and social care, there are also clear gaps that need to be addressed to further support provision, particularly regarding cost-effectiveness. The effectiveness of peer support in different countries, with varying health and social care systems, is a priority for future research, as is the integration of peers with professionals in delivering peer support.

Cost-Effectiveness of a Telephone-Based Smoking Cessation Randomized Trial in the Lung Cancer Screening Setting

BACKGROUND

There are limited data on the cost-effectiveness of smoking cessation interventions in lung cancer screening settings. We conducted an economic analysis embedded in a national randomized trial of 2 telephone counseling cessation interventions.

METHODS

We used a societal perspective to compare the short-term cost per 6-month bio-verified quit and long-term cost-effectiveness of the interventions. Trial data were used to micro-cost intervention delivery, and the data were extended to a lifetime horizon using an established Cancer Intervention Surveillance and Modeling Network lung cancer model. We modeled the impact of screening accompanied by 8 weeks vs 3 weeks of telephone counseling (plus nicotine replacement) vs screening alone based on 2021 screening eligibility. Lifetime downstream costs (2021 dollars) and effects (life-years gained, quality-adjusted life-years [QALYs]) saved were discounted at 3%. Sensitivity analyses tested the effects of varying quit rates and costs; all analyses assumed nonrelapse after quitting.

RESULTS

The costs for delivery of the 8-week vs 3-week protocol were $380.23 vs $144.93 per person, and quit rates were 7.14% vs 5.96%, respectively. The least costly strategy was a 3-week counseling approach. An 8-week (vs 3-week) counseling approach increased costs but gained QALYs for an incremental cost-effectiveness ratio of $4029 per QALY. Screening alone cost more and saved fewer QALYs than either counseling strategy. Conclusions were robust in sensitivity analyses.

CONCLUSIONS

Telephone-based cessation interventions with nicotine replacement are considered cost-effective in the lung screening setting. Integrating smoking cessation interventions with lung screening programs has the potential to maximize long-term health benefits at reasonable costs.

Supporting the Return to Work of Breast Cancer Survivors: From a Theoretical to a Clinical Perspective

Promoting the return to work of breast cancer survivors is of major interest to patients, healthcare and occupational health professionals, companies, governments, and researchers worldwide. We previously conducted a French consensus study resulting in a model describing the multifactorial process of the return to work of breast cancer survivors (the REWORK-BC model). Other work has identified the transtheoretical model as a relevant theoretical framework for interventions to promote the return to work of cancer survivors. In this opinion paper, we provide a theoretically-based clinical framework describing how to support breast cancer survivors at each stage of the return-to-work process. This clinical framework considers several essential aspects of supportive care for breast cancer survivors returning to work, such as: (i) helping the patient actively self-manage, by considering her to be the main decision-maker; (ii) respecting and adapting to the patient’s choice of professional project; (iii) respecting the temporality of the patient’s choices; (iv) proposing tailored interventions; (v) implementing simple tools to promote the return to work, shared representation between the patient and a multidisciplinary team, and improvement of working conditions and the knowledge of health and occupational professionals, and managers or employers; and (vi) maintaining certain flexibility aimed at proposing, but never imposing, changes in practices. This clinical framework, specific to breast cancer survivors, could be extrapolated to other tumor types, offering a practical guide for healthcare and occupational health professionals to better understand the return-to-work process of cancer survivors. This clinical framework aims to be a usable tool for any hospital or cancer care center wishing to implement a patient-centered intervention that promotes returning to work, regardless of the country.

Smoking Cessation after a Cancer Diagnosis: A Cross-Sectional Analysis in the Setting of a Developing Country

Since smoking accounts for around 30% of all cancer deaths, public health campaigns often focus on smoking cessation as a means of primary prevention. However, smoking after cancer diagnosis is also associated with a higher symptom burden and lower survival rate. As data regarding smoking cessation vary dramatically between different populations, we aimed to analyze smoking prevalence in cancer patients, smoking cessation after cancer diagnosis, and the factors associated with smoking cessation in the setting of a developing country. We performed a cross-sectional survey on 695 patients in two clinical hospital centers. After cancer diagnosis, 15.6% of cancer patients stopped smoking. Male gender, younger age, and smoking-related cancer were the main factors associated with greater smoking cessation (p < 0.05). A total of 96% of breast cancer patients continued to smoke after cancer diagnosis and, compared to lung and colorectal cancer patients, exhibited a lower reduction in the number of cigarettes smoked (p = 0.023). An alarming rate of smoking prevalence was recorded in younger patients (45.6% at the time of cancer diagnosis) suggesting a future rise in smoking-related cancers and complications. These results should guide anti-smoking public health campaigns in transitional countries with a critical focus on younger and breast cancer patients.

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.

Mixed-methods economic evaluation of the implementation of tobacco treatment programs in National Cancer Institute-designated cancer centers

Background

The Cancer Center Cessation Initiative (C3I) was launched in 2017 as a part of the NCI Cancer Moonshot program to assist NCI-designated cancer centers in developing tobacco treatment programs for oncology patients. Participating centers have implemented varied evidence-based programs that fit their institutional resources and needs, offering a wide range of services including in-person and telephone-based counseling, point of care, interactive voice response systems, referral to the quitline, text- and web-based services, and medications.

Methods

We used a mixed methods comparative case study design to evaluate system-level implementation costs across 15 C3I-funded cancer centers that reported for at least one 6-month period between July 2018 and June 2020. We analyzed operating costs by resource category (e.g., personnel, medications) concurrently with transcripts from semi-structured key-informant interviews conducted during site visits. Personnel salary costs were estimated using Bureau of Labor Statistics wage data adjusted for area and occupation, and non-wage benefits. Qualitative findings provided additional information on intangible resources and contextual factors related to implementation costs.

Results

Median total monthly operating costs across funded centers were $11,045 (range: $5129–$20,751). The largest median operating cost category was personnel ($10,307; range: $4122–$19,794), with the highest personnel costs attributable to the provision of in-person program services. Monthly (non-zero) cost ranges for other categories were medications ($17–$573), materials ($6–$435), training ($96–$516), technology ($171–$2759), and equipment ($10–$620). Median cost-per-participant was $466 (range: $70–$2093) and cost-per-quit was $2688 (range: $330–$9628), with sites offering different combinations of program components, ranging from individually-delivered in-person counseling only to one program that offered all components. Site interviews provided context for understanding variations in program components and their cost implications.

Conclusions

Among most centers that have progressed in tobacco treatment program implementation, cost-per-quit was modest relative to other prevention interventions. Although select centers have achieved similar average costs by offering program components of various levels of intensity, they have varied widely in program reach and effectiveness. Evaluating implementation costs of such programs alongside reach and effectiveness is necessary to provide decision makers in oncology settings with the important additional information needed to optimize resource allocation when establishing tobacco treatment programs.

Can Cancer Diagnosis Help in Quitting Tobacco? Barriers and Enablers to Tobacco Cessation Among Head and Neck Cancer Patients from a Tertiary Cancer Center in South india

BACKGROUND

Tobacco use contributes to almost 40% of the cancers in India. Considering the potential threat, many preventive measures have been instigated in the country. However, tobacco cessation for hospitalized cancer patients is an unexplored territory in India. This study aims to understand the quit status and to explore the reasons to quit or continue the use of tobacco after the diagnosis of head and neck cancer (HNC).

METHODS

HNC patients admitted between February and April 2016 were assessed for their tobacco use status. A DT was used to assess the psychological distress. Users were assessed for their readiness to quit and dependence on tobacco. An in-depth interview was conducted among 25 patients (seven current users and 18 recent quitters), and themes that emerged were discussed.

RESULTS

Of the 119 HNC patients, 71 were tobacco users and 48 had quit tobacco after the diagnosis. The reasons to quit were the perceived benefits of quitting, advice from the physicians, and awareness about cancer and its association with tobacco. In contrast, the reasons to continue the use of tobacco were attributed to coping mechanisms, nihilistic perception about the outcome of the cancer, and a lack of understanding about cancer and its association with tobacco.

CONCLUSION

The recent quitters comprehended the benefits of quitting and were able to prioritize their needs after the diagnosis. However, one-third of the HNC patients continued to use tobacco even after the diagnosis of cancer. Hence, tobacco cessation services need to be integrated into oncology services for achieving better treatment outcomes.

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.

Qualitative Exploration of a Smoking Cessation Trial for People Living With HIV in South Africa

Introduction

In South Africa, people living with HIV have a high prevalence of smoking, which undermines the beneficial effects of antiretroviral therapy. However, little is known about barriers to smoking cessation and what interventions work for people living with HIV in this setting.

Methods

A randomized trial comparing intensive anti-smoking counseling versus counseling and nicotine replacement therapy was recently concluded in Klerksdorp, South Africa. In a post-trial follow-up, 23 in-depth interviews with patients and one focus group discussion with counselors from the trial were conducted. A codebook was developed and codes were applied to the transcripts, which were analyzed using a thematic analysis.

Results

Barriers at the economic, social/interpersonal, and individual levels induced stress, which hindered smoking cessation. Economic stressors included unemployment and poverty. Social or interpersonal stressors were lack of social support for quitting smoking and lack of social support due to having HIV. Individual stressors were traumatic life events. Alcohol was used to cope with stress and frequently co-occurred with smoking. Managing cravings was a barrier unrelated to stress. Participants proposed income and employment opportunities, group counseling, and more frequent counseling as solutions to address stressors at different levels. Nicotine replacement therapy was helpful to mitigate cravings.

Conclusions

Future smoking cessation interventions need to target barriers at multiple levels. Increasing the supply and duration of nicotine replacement therapy may increase its effectiveness. Other behavioral approaches such as group counseling or peer counseling could hold promise in this setting but need to be tested for efficacy through randomized controlled trials.

Implications

To our knowledge, this is the first qualitative study examining barriers to smoking cessation for people living with HIV in South Africa. Smoking is highly prevalent among people with HIV in South Africa and cessation interventions are urgently needed. A better understanding of barriers to smoking cessation that people with HIV face will lead to the development of contextually appropriate interventions. This study also provides feedback on interventions from a recently concluded smoking cessation randomized trial and will help guide the design of future smoking cessation trials.

Prevalence and Predictors of Sustained Smoking after a Cancer Diagnosis in Korean Men

Purpose

Although smoking has a significant impact on mortality and morbidity of cancer patients, many patients continue to smoke post-diagnosis. The purpose of this study was to investigate prevalence and predictors of sustained smoking among male cancer survivors.

Materials and Methods

The Korean National Health Insurance Service-National Health Screening Cohort database was used for this population-based, retrospective study. Study subjects were 15,141 men who were diagnosed with their first incident cancer between 2004 and 2011. Changes in smoking status before and after a cancer diagnosis were investigated. For patients who were current smokers pre-diagnosis, association between post-diagnosis sustained smoking and demographic, socioeconomic, and clinical variables were examined.

Results

Of the 4,657 pre-diagnosis smokers, 2,255 (48%) had quit after cancer diagnosis, while 2,402 (51.6%) continued to smoke. In a multivariate logistic regression analysis, younger age at cancer diagnosis (adjusted odds ratio [aOR], 1.37; 95% confidence interval [CI], 1.21 to 1.55; p < 0.001), low socioeconomic status (aOR, 1.29; 95% CI, 1.15 to 1.45; p ≤ 0.001), pre-diagnosis heavy smoking (aOR, 1.24; 95% CI, 1.09 to 1.41; p=0.001), diagnosis of non-smoking–related cancer (aOR, 1.67; 95% CI, 1.42 to 1.96; p < 0.001), and high serum glucose level (aOR, 1.23; 95% CI, 1.03 to 1.46; p=0.019) were associated with sustained smoking after a cancer diagnosis.

Conclusion

Almost half of the male smokers continue to smoke after a cancer diagnosis. Targeted interventions for smoking cessation should be considered for patients with younger age, low socioeconomic status, heavy smoking history, non-smoking–related cancer, and high blood glucose levels.

Telephone counselling for smoking cessation

BACKGROUND

Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines.

OBJECTIVES

To evaluate the effect of telephone support to help smokers quit, including proactive or reactive counselling, or the provision of other information to smokers calling a helpline.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, clinicaltrials.gov, and the ICTRP for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2018.

SELECTION CRITERIA

Randomised or quasi-randomised controlled trials which offered proactive or reactive telephone counselling to smokers to assist smoking cessation.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane. We pooled studies using a random-effects model and assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I2 statistic. In trials including smokers who did not call a quitline, we used meta-regression to investigate moderation of the effect of telephone counselling by the planned number of calls in the intervention, trial selection of participants that were motivated to quit, and the baseline support provided together with telephone counselling (either self-help only, brief face-to-face intervention, pharmacotherapy, or financial incentives).

MAIN RESULTS

We identified 104 trials including 111,653 participants that met the inclusion criteria. Participants were mostly adult smokers from the general population, but some studies included teenagers, pregnant women, and people with long-term or mental health conditions. Most trials (58.7%) were at high risk of bias, while 30.8% were at unclear risk, and only 11.5% were at low risk of bias for all domains assessed. Most studies (100/104) assessed proactive telephone counselling, as opposed to reactive forms.Among trials including smokers who contacted helplines (32,484 participants), quit rates were higher for smokers receiving multiple sessions of proactive counselling (risk ratio (RR) 1.38, 95% confidence interval (CI) 1.19 to 1.61; 14 trials, 32,484 participants; I2 = 72%) compared with a control condition providing self-help materials or brief counselling in a single call. Due to the substantial unexplained heterogeneity between studies, we downgraded the certainty of the evidence to moderate.In studies that recruited smokers who did not call a helpline, the provision of telephone counselling increased quit rates (RR 1.25, 95% CI 1.15 to 1.35; 65 trials, 41,233 participants; I2 = 52%). Due to the substantial unexplained heterogeneity between studies, we downgraded the certainty of the evidence to moderate. In subgroup analysis, we found no evidence that the effect of telephone counselling depended upon whether or not other interventions were provided (P = 0.21), no evidence that more intensive support was more effective than less intensive (P = 0.43), or that the effect of telephone support depended upon whether or not people were actively trying to quit smoking (P = 0.32). However, in meta-regression, telephone counselling was associated with greater effectiveness when provided as an adjunct to self-help written support (P < 0.01), or to a brief intervention from a health professional (P = 0.02); telephone counselling was less effective when provided as an adjunct to more intensive counselling. Further, telephone support was more effective for people who were motivated to try to quit smoking (P = 0.02). The findings from three additional trials of smokers who had not proactively called a helpline but were offered telephone counselling, found quit rates were higher in those offered three to five telephone calls compared to those offered just one call (RR 1.27, 95% CI 1.12 to 1.44; 2602 participants; I2 = 0%).

AUTHORS' CONCLUSIONS

There is moderate-certainty evidence that proactive telephone counselling aids smokers who seek help from quitlines, and moderate-certainty evidence that proactive telephone counselling increases quit rates in smokers in other settings. There is currently insufficient evidence to assess potential variations in effect from differences in the number of contacts, type or timing of telephone counselling, or when telephone counselling is provided as an adjunct to other smoking cessation therapies. Evidence was inconclusive on the effect of reactive telephone counselling, due to a limited number studies, which reflects the difficulty of studying this intervention.

Respiratory mortality of childhood, adolescent and young adult cancer survivors

BACKGROUND

Exposure to radiation and/or chemotherapy during cancer treatment can compromise respiratory function. We investigated the risk of long-term respiratory mortality among 5-year cancer survivors diagnosed before age 40 years using the British Childhood Cancer Survivor Study (BCCSS) and Teenage and Young Adult Cancer Survivor Study (TYACSS).

METHODS

The BCCSS comprises 34 489 cancer survivors diagnosed before 15 years from 1940 to 2006 in Great Britain. The TYACSS includes 200 945 cancer survivors diagnosed between 15 years and 39 years from 1971 to 2006 in England and Wales. Standardised mortality ratios and absolute excess risks were used.

FINDINGS

Overall, 164 and 1079 respiratory deaths were observed in the BCCSS and TYACSS cohorts respectively, which was 6.8 (95% CI 5.8 to 7.9) and 1.7 (95% CI 1.6 to 1.8) times that expected, but the risks varied substantially by type of respiratory death. Greatest excess numbers of deaths were experienced after central nervous system (CNS) tumours in the BCCSS and after lung cancer, leukaemia, head and neck cancer and CNS tumours in the TYACSS. The excess number of respiratory deaths increased with increasing attained age, with seven (95% CI 2.4 to 11.3) excess deaths observed among those aged 50+ years in the BCCSS and three (95% CI 1.4 to 4.2) excess deaths observed among those aged 60+ years in the TYACSS. It was reassuring to see a decline in the excess number of respiratory deaths among those diagnosed more recently in both cohorts.

CONCLUSIONS

Prior to this study, there was almost nothing known about the risks of respiratory death after cancer diagnosed in young adulthood, and this study addresses this gap. These new findings will be useful for both survivors and those involved in their clinical management and follow-up.

Smoking Prevalence and Management Among Cancer Survivors

PROBLEM IDENTIFICATION

Continued smoking after a cancer diagnosis can lead to development of potential treatment interactions, secondary cancers, and comorbid conditions. The purpose of this article is to examine the prevalence of smoking after diagnosis and present current management strategies.
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LITERATURE SEARCH

The terms cancer, survivorship, behavior, smoking, and quitlines were searched in PubMed and CINAHL® from the start of the databases to December 2016. Statistics, guidelines, and background information were obtained from websites of organizations such as the American Cancer Society, National Cancer Institute, National Institutes of Health, and Centers for Disease Control and Prevention.
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DATA EVALUATION

Of 17 relevant articles, 12 were analyzed to identify variables among survivors who continued to smoke versus those who successfully quit. Five articles were analyzed to identify characteristics of successful smoking cessation interventions.
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SYNTHESIS

Survivors who are younger, female, and not partnered and those who report less socioeconomic and psychosocial support may be at greater risk for continued smoking. Peer counseling, cognitive behavioral therapy exercises, and use of frameworks to guide interventions are unique properties of successful cessation interventions.
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IMPLICATIONS FOR RESEARCH

Continued research on cancer-specific tobacco cessation interventions and exploration of why current evidence-based therapies are not working in this population are warranted.

Psychological Symptoms, Social Outcomes, Socioeconomic Attainment, and Health Behaviors Among Survivors of Childhood Cancer: Current State of the Literature

The diagnosis, treatment, and medical late effects of childhood cancer may alter the psychosocial trajectory of survivors across their life course. This review of the literature focuses on mental health symptoms, achievement of social milestones, socioeconomic attainment, and risky health behaviors in survivors of childhood cancer. Results suggest that although most survivors are psychologically well adjusted, survivors are at risk for anxiety and depression compared with siblings. Although the absolute risk of suicide ideation and post-traumatic stress symptoms is low, adult survivors are at increased risk compared with controls. Moreover, young adult survivors are at risk for delayed psychosexual development, lower rates of marriage or cohabitation, and nonindependent living. Survivors' socioeconomic attainment also is reduced, with fewer survivors graduating college and gaining full-time employment. Despite risk for late health-related complications, survivors of childhood cancer generally engage in risky health behaviors at rates similar to or only slightly lower than siblings and peers. CNS tumors and CNS-directed therapies are salient risk factors for poor psychosocial outcomes. In addition, physical health morbidities resulting from cancer-directed therapies are associated with worse psychosocial functioning. Several studies support the effectiveness of cognitive and behavioral interventions to treat psychological symptoms as well as to modify health behaviors. Additional randomized controlled trials are needed to evaluate the efficacy and long-term outcomes of intervention efforts. Future research should focus on the identification of potential genetic predispositions related to psychosocial outcomes to provide opportunities for preventive interventions among survivors of childhood cancer.

Why Don't Cancer Survivors Quit Smoking? An Evaluation of Readiness for Smoking Cessation in Cancer Survivors

Background

Cancer survivors have a high rate of participation in cigarette-smoking cessation programs but their smoking-abstinence rates remain low. In the current study, we evaluated the readiness to quit smoking in a cancer-survivor population.

Methods

Cross-sectional data survey conducted among 112 adult cancer survivors who smoked cigarettes in Tennessee. Analyses were conducted using a two-sample t-test, χ² test, Fishers Exact test, and multivariable logistic regression with smoker’s readiness to quit as the dependent variable. We operationally defined a smoker not ready to quit as anyone interested in quitting smoking beyond the next 6 months or longer (or not at all), as compared to those that are ready to quit within the next 6 months.

Results

Thirty-three percent of participants displayed a readiness to quit smoking in the next 30 days. Smokers ready to quit were more likely to display high confidence in their ability to quit (OR = 4.6; 95% CI, 2.1–9.7; P < 0.0001) than those not ready to quit. Those ready to quit were nearly five times more likely to believe smoking contributed to their cancer diagnosis (OR = 4.9; 95% CI, 1.1–22.6; P = 0.0432). Those ready to quit were also much more likely to attempt smoking cessation when diagnosed with cancer (OR = 8.9; 95% CI, 1.8–44.3; P = 0.0076) than smokers not ready to quit. Finally, those ready to quit were more likely to endorse smoking more in the morning than other times of the day, compared to those not ready to quit (OR = 7.9; 95% CI, 1.5–42,3; P = 0.0148), which increased odds of readiness to quit within the next 6 months.

Conclusions

Despite high participation in smoking-cessation programs for cancer survivors, only one-third of participants were ready to quit. Future research is needed to develop programs targeting effective strategies promoting smoking cessation among cancer survivors who are both ready and not ready to quit smoking.

Effectiveness of Two Community Health Worker Models of Tobacco Dependence Treatment Among Community Residents of Ohio Appalachia

INTRODUCTION

Community health workers (CHW) may be effective in the delivery of tobacco dependence treatment with underserved groups. This study evaluated two evidence-based CHW models of treatment. It was hypothesized that smokers assigned to a CHW face-to-face condition would have higher abstinence at 12-month posttreatment than smokers enrolled in CHW referral to a state-sponsored quitline condition. Intrapersonal and treatment-related factors associated with abstinence at 12 months were determined.

METHODS

A group-randomized trial was conducted with residents of 12 Ohio Appalachian counties with counties (n = 6) randomized to either a CHW face-to-face (F2F) or CHW quitline (QL) condition. Both conditions included behavioral counseling and free nicotine replacement therapy for 8 weeks. Follow-up data were collected at 3-, 6-, and 12-month posttreatment. Biochemically validated abstinence at 12 months served as the primary outcome.

RESULTS

Seven hundred and seven participants were enrolled (n = 353 CHWF2F; n = 354 CHWQL). Baseline sample characteristics did not differ by condition. Using an intent-to-treat analysis (85.4% retention at 12 months), 13.3% of CHWF2F participants were abstinent at 12 months, compared to 10.7% of CHWQL members (OR = 1.28; 95% confidence interval [CI] = 0.810, 2.014; p = .292). No differences in abstinence were noted at 3 or 6 months by condition. Age, marital status, and baseline levels of cigarette consumption, depressive symptoms, and self-efficacy for quitting in positive settings were associated with abstinence, as was counseling dose during treatment.

CONCLUSIONS

This research adds to the body of science evaluating the effectiveness of CHW models of tobacco dependence treatment. Both approaches may offer promise in low-resource settings and underserved regions.

IMPLICATIONS

This 12-county community-based group-randomized trial in Ohio Appalachia adds to the body of science evaluating the effectiveness of CHW models of tobacco dependence treatment. Both CHW approaches may offer promise in low-resource settings and underserved regions. These findings are useful to national, state, and local tobacco control agencies, as they expand delivery of preventive health care services postadoption of the Affordable Care Act in the United States.

Effective Self-Management Interventions for Patients With Lupus: Potential Impact of Peer Mentoring

Systemic lupus erythematosus (SLE) is associated with significant mortality, morbidity and cost for the individual patient and society. In the United States, African Americans (AAs) have 3-4 times greater prevalence of lupus, risk of developing lupus at an earlier age and lupus-related disease activity, organ damage and mortality compared with whites. Evidence-based self-management interventions that incorporate both social support and health education have reduced pain, improved function and delayed disability among patients with lupus. However, AAs and women are still disproportionately affected by lupus. This article presents the argument that peer mentoring may be an especially effective intervention approach for AA women with SLE. SLE peers with a track record of success in lupus management and have a personal perspective that clinicians often lack. This commonality and credibility can establish trust, increase communication and, in turn, decrease disparities in healthcare outcomes.

Preliminary evaluation of a telephone-based smoking cessation intervention in the lung cancer screening setting: A randomized clinical trial

Incorporating effective smoking cessation interventions into lung cancer screening (LCS) programs will be essential to realizing the full benefit of screening. We conducted a pilot randomized trial to determine the feasibility and efficacy of a telephone-counseling (TC) smoking cessation intervention vs. usual care (UC) in the LCS setting. In collaboration with 3 geographically diverse LCS programs, we enrolled current smokers (61.5% participation rate) who were: registered to undergo LCS, 50-77 years old, and had a 20+ pack-year smoking history. Eligibility was not based on readiness to quit. Participants completed pre-LCS (T0) and post-LCS (T1) telephone assessments, were randomized to TC (N=46) vs. UC (N=46), and completed a final 3-month telephone assessment (T2). Both study arms received a list of evidence-based cessation resources. TC participants also received up to 6 brief counseling calls with a trained cessation counselor. Counseling calls incorporated motivational interviewing and utilized the screening result as a motivator for quitting. The outcome was biochemically verified 7-day point prevalence cessation at 3-months post-randomization. Participants (56.5% female) were 60.2 (SD=5.4) years old and reported 47.1 (SD=22.2) pack years; 30% were ready to stop smoking in the next 30 days. TC participants completed an average of 4.4 (SD=2.3) sessions. Using intent-to-treat analyses, biochemically verified quit rates were 17.4% (TC) vs. 4.3% (UC), p<.05. This study provides preliminary evidence that telephone-based cessation counseling is feasible and efficacious in the LCS setting. As millions of current smokers are now eligible for lung cancer screening, this setting represents an important opportunity to exert a large public health impact on cessation among smokers who are at very high risk for multiple tobacco-related diseases. If this evidence-based, brief, and scalable intervention is replicated, TC could help to improve the overall cost-effectiveness of LCS.

TRIAL REGISTRATION

NCT02267096, https://clinicaltrials.gov.

Barriers and facilitators to smoking cessation in a cancer context: A qualitative study of patient, family and professional views

Background

Continued smoking after cancer adversely affects quality of life and survival, but one fifth of cancer survivors still smoke. Despite its demands, cancer presents an opportunity for positive behaviour change. Smoking often occurs in social groups, therefore interventions which target families and individuals may be more successful. This qualitative study explored patients, family members and health professionals’ views and experiences of smoking and smoking cessation after cancer, in order to inform future interventions.

Methods

In-depth qualitative interviews (n = 67) with 29 patients, 14 family members and 24 health professionals. Data were analysed using the ‘Framework’ method.

Results

Few patients and family members had used National Health Service (NHS) smoking cessation services and more than half still smoked. Most recalled little ‘smoking-related’ discussion with clinicians but were receptive to talking openly. Clinicians revealed several barriers to discussion. Participants’ continued smoking was explained by the stress of diagnosis; desire to maintain personal control; and lack of connection between smoking, cancer and health.

Conclusions

A range of barriers to smoking cessation exist for patients and family members. These are insufficiently assessed and considered by clinicians. Interventions must be more effectively integrated into routine practice.

Is telemonitoring useful for supporting persons with consciousness disorders and caregivers? A preliminary observational study in a real-life population

Introduction

Preliminary evidences showed that telemedicine may allow a reduction of costs and an enhancement of patients’ satisfaction and quality of life (QoL), with the same effectiveness of conventional methods of healthcare delivery. Literature is quite absent in relation to the use of telemedicine for patients with disorders of consciousness (DoC) whose management is delegated almost entirely to the family. In order to promote an alternative setting to manage persons affected by DoC, also supporting their families, a pilot project was designed to test the feasibility of home-care assistance based on a system of telemonitoring.

Methods

In total, 11 patients were supported by a telemonitoring system via a workstation installed at the patients’ homes. All patients underwent a clinical and functional evaluation at enrolment, after two months, after six months and at the end of the project, after 12 months by means of clinical scales (Glasgow Coma Scale, Rancho Los Amigos Levels of Cognitive Functioning Scale, Glasgow Outcome Scale, Disability Rating Scale), while the World Health Organization (WHO) QoL, the Hamilton Depression Rating Scale, the Hamilton Anxiety Rating Scale and a satisfaction score were completed by caregivers.

Results

Patients’ scores at the clinical scales did not show statistically significant differences from T0 to T3. A trend toward the improvement of caregivers’ QoL, anxiety and depression, as well as a high degree of satisfaction with regard to the intervention, were reported. The economic evaluation showed an average cost/day for a patient of about €70.

Discussion

Preliminary data suggest that the use of telemonitoring services in the management of persons affected by DoC is feasible and well accepted by caregivers, with a potential positive effect on their mood and QoL. Therefore, telemonitoring should be considered in the management of DoC patients to favour discharge from acute care and to support families in home care.

The Effect of Self-Efficacy on Behavior and Weight in a Behavioral Weight-Loss Intervention

OBJECTIVE

To determine whether eating self-efficacy (ESE) and physical activity self-efficacy (PASE) are predictive of dietary intake, physical activity, and weight change within a behavioral weight-loss intervention, and whether dietary intake and physical activity mediate relationships between self-efficacy and weight change.

METHOD

The study sample included 246 participants from a randomized trial with complete data on study variables at 12 months. ESE, PASE, calories consumed, minutes of moderate-to-vigorous physical activity (MVPA), and weight were measured at baseline, 6, and 12 months.

RESULTS

ESE at baseline was associated with 12-month percent weight loss (PWL), and was mediated by average calories consumed at 6 and 12 months. Change in ESE from baseline to 6 months was associated with calories consumed at 12 months and 12-month percent weight loss, but the mediated relationship was not significant. Baseline PASE was not associated with average MVPA at 6 and 12 months or 12-month PWL, but change in PASE from baseline to 6 months was associated with 12-month PWL through its effect on MVPA at 12 months.

CONCLUSION

Increases in ESE and PASE during the active phase of the intervention are predictive of dietary intake, physical activity and weight loss at later points, but further research should include explorations of the reciprocal relationship between behavior and self-efficacy to better inform intervention strategies that target self-efficacy and promote behavior change. (PsycINFO Database Record

Combined pharmacotherapy and behavioural interventions for smoking cessation

BACKGROUND

Both behavioural support (including brief advice and counselling) and pharmacotherapies (including nicotine replacement therapy (NRT), varenicline and bupropion) are effective in helping people to stop smoking. Combining both treatment approaches is recommended where possible, but the size of the treatment effect with different combinations and in different settings and populations is unclear.

OBJECTIVES

To assess the effect of combining behavioural support and medication to aid smoking cessation, compared to a minimal intervention or usual care, and to identify whether there are different effects depending on characteristics of the treatment setting, intervention, population treated, or take-up of treatment.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register in July 2015 for records with any mention of pharmacotherapy, including any type of NRT, bupropion, nortriptyline or varenicline.

SELECTION CRITERIA

Randomized or quasi-randomized controlled trials evaluating combinations of pharmacotherapy and behavioural support for smoking cessation, compared to a control receiving usual care or brief advice or less intensive behavioural 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

Search results were prescreened by one author and inclusion or exclusion of potentially relevant trials was agreed by two authors. Data was extracted by one author and checked by another.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

Fifty-three studies with a total of more than 25,000 participants met the inclusion criteria. A large proportion of studies recruited people in healthcare settings or with specific health needs. Most studies provided NRT. Behavioural support was typically provided by specialists in cessation counselling, who offered between four and eight contact sessions. The planned maximum duration of contact was typically more than 30 minutes but less than 300 minutes. Overall, studies were at low or unclear risk of bias, and findings were not sensitive to the exclusion of any of the six studies rated at high risk of bias in one domain. One large study (the Lung Health Study) contributed heterogeneity due to a substantially larger treatment effect than seen in other studies (RR 3.88, 95% CI 3.35 to 4.50). Since this study used a particularly intensive intervention which included extended availability of nicotine gum, multiple group sessions and long term maintenance and recycling contacts, the results may not be comparable with the interventions used in other studies, and hence it was not pooled in other analyses. Based on the remaining 52 studies (19,488 participants) there was high quality evidence (using GRADE) for a benefit of combined pharmacotherapy and behavioural treatment compared to usual care, brief advice or less intensive behavioural support (RR 1.83, 95% CI 1.68 to 1.98) with moderate statistical heterogeneity (I² = 36%).The pooled estimate for 43 trials that recruited participants in healthcare settings (RR 1.97, 95% CI 1.79 to 2.18) was higher than for eight trials with community-based recruitment (RR 1.53, 95% CI 1.33 to 1.76). Compared to the first version of the review, previous weak evidence of differences in other subgroup analyses has disappeared. We did not detect differences between subgroups defined by motivation to quit, treatment provider, number or duration of support sessions, or take-up of treatment.

AUTHORS' CONCLUSIONS

Interventions that combine pharmacotherapy and behavioural support increase smoking cessation success compared to a minimal intervention or usual care. Updating this review with an additional 12 studies (5,000 participants) did not materially change the effect estimate. Although trials differed in the details of their populations and interventions, we did not detect any factors that modified treatment effects apart from the recruitment setting. We did not find evidence from indirect comparisons that offering more intensive behavioural support was associated with larger treatment effects.

Psychosocial Follow-Up in Survivorship as a Standard of Care in Pediatric Oncology

Childhood cancer survivors (CCS) have a high risk of medical late effects following cancer therapy. Psychosocial late effects are less often recognized. Many CCS do not receive long-term follow-up (LTFU) care, and those who do are rarely screened for psychosocial late effects. An interdisciplinary team conducted a systematic review of qualitative and quantitative studies to assess social, educational, vocational, psychological, and behavioral outcomes along with factors related to receipt of LTFU care. We propose that psychosocial screening be considered a standard of care in long-term follow-up care and that education be provided to promote the use LTFU care starting early in the treatment trajectory.

Longitudinal smoking patterns in survivors of childhood cancer: An update from the Childhood Cancer Survivor Study

BACKGROUND

Survivors of pediatric cancer have elevated risks of mortality and morbidity. Many late adverse effects associated with cancer treatment (eg, second cancers and cardiac and pulmonary disease) are also associated with cigarette smoking, and this suggests that survivors who smoke may be at high risk for these conditions.

METHODS

This study examined the self-reported smoking status for 9397 adult survivors of childhood cancer across 3 questionnaires (median time interval, 13 years). The smoking prevalence among survivors was compared with the smoking prevalence among siblings and the prevalence expected on the basis of age-, sex-, race-, and calendar time-specific rates in the US population. Multivariable regression models examined characteristics associated with longitudinal smoking patterns across all 3 questionnaires.

RESULTS

At the baseline, 19% of survivors were current smokers, whereas 24% of siblings were current smokers, and 29% were expected to be current smokers on the basis of US rates. Current smoking among survivors dropped to 16% and 14% on follow-up questionnaires, with similar decreases in the sibling prevalence and the expected prevalence. Characteristics associated with consistent never-smoking included a higher household income (relative risk [RR], 1.16; 95% confidence interval [CI], 1.08-1.25), higher education (RR, 1.32; 95% CI, 1.22-1.43), and receipt of cranial radiation therapy (RR, 1.08; 95% CI, 1.03-1.14). Psychological distress (RR, 0.86; 95% CI, 0.80-0.92) and heavy alcohol drinking (RR, 0.64; 95% CI, 0.58-0.71) were inversely associated. Among ever-smokers, a higher income (RR, 1.17; 95% CI, 1.04-1.32) and education (RR, 1.23; 95% CI, 1.10-1.38) were associated with quitting, whereas cranial radiation (RR, 0.86; 95% CI, 0.76-0.97) and psychological distress (RR, 0.80; 95% CI, 0.72-0.90) were associated with not having quit. The development of adverse health conditions was not associated with smoking patterns.

CONCLUSIONS

Despite modest declines in smoking prevalence, the substantial number of consistent current smokers reinforces the need for continued development of effective smoking interventions for survivors.

Efficacy of a tobacco quitline among adult survivors of childhood cancer

INTRODUCTION

The purpose of this investigation was to determine the efficacy of two evidence-based tobacco quitlines in adult survivors of childhood cancer who regularly smoke cigarettes.

METHODS

A total of 519 adult survivors of childhood cancer were randomized to either Proactive + 4 weeks of medication (Counselor-initiated intervention, n = 260) or a Reactive + 2 weeks of medication (Participant-initiated intervention, n = 259) condition. Both conditions received telephone counseling to quit smoking as well as nicotine replacement therapy. The primary outcome was biochemically verified (i.e. cotinine) point prevalence smoking cessation at 12 months follow-up.

RESULTS

Participants randomized to the Proactive + 4 weeks of medication condition self-reported a higher rate of cessation than those survivors in the Reactive + 2 weeks of medication condition at 8 weeks (33.2% vs. 17.0%, p < .001), but cessation rates were not significantly different at 12 months (23.0% vs. 18.7%, p = .29). However, 80% of participants claiming abstinence failed biochemical verification, indicating marked falsification of self-reported smoking status. Adjusted cessation rates were less than 2% in both intervention conditions.

CONCLUSIONS

Our results indicate that neither a Proactive + 4 weeks of medication or Reactive + 2 weeks of medication quitline significantly impacted long-term smoking cessation rates. Our results further indicate that self-reports of smoking status are unreliable in survivors of childhood cancer, a population in considerable need of tobacco abstinence. Rates of smoking cessation may be markedly overestimated in studies of childhood cancer survivors that rely on self-reports of tobacco abstinence, and future studies need to include biochemical verification of tobacco status in this population.

Health behaviors of minority childhood cancer survivors

BACKGROUND

Available data have suggested that childhood cancer survivors (CCSs) are comparable to the general population with regard to many lifestyle parameters. However, to the authors' knowledge, little is known regarding minority CCSs. This cross-sectional study describes and compares the body mass index and health behaviors of African American, Hispanic, and white survivors with each other and with noncancer controls.

METHODS

Participants included 452 adult CCSs (150 African American, 152 Hispanic, and 150 white individuals) recruited through 4 childhood cancer treating institutions and 375 ethnically matched noncancer controls (125 in each racial/ethnic group) recruited via targeted digit dial. All participants completed a 2-hour in-person interview.

RESULTS

Survivors and noncancer controls reported similar health behaviors. Within survivors, smoking and physical activity were found to be similar across racial/ethnic groups. African American and Hispanic survivors reported lower daily alcohol use compared with white individuals, but consumed unhealthy diets and were more likely to be obese.

CONCLUSIONS

This unique study highlights that many minority CCSs exhibit lifestyle profiles that contribute to an increased risk of chronic diseases and late effects. Recommendations for behavior changes must consider the social and cultural context in which minority survivors may live.

A systematic review of the effectiveness and cost-effectiveness of peer education and peer support in prisons

BACKGROUND

Prisoners experience significantly worse health than the general population. This review examines the effectiveness and cost-effectiveness of peer interventions in prison settings.

METHODS

A mixed methods systematic review of effectiveness and cost-effectiveness studies, including qualitative and quantitative synthesis was conducted. In addition to grey literature identified and searches of websites, nineteen electronic databases were searched from 1985 to 2012. Study selection criteria were:

POPULATION

Prisoners resident in adult prisons and children resident in Young Offender Institutions (YOIs).

INTERVENTION

Peer-based interventions.

COMPARATORS

Review questions 3 and 4 compared peer and professionally led approaches.

OUTCOMES

Prisoner health or determinants of health; organisational/process outcomes; views of prison populations.

STUDY DESIGNS

Quantitative, qualitative and mixed method evaluations.

RESULTS

Fifty-seven studies were included in the effectiveness review and one study in the cost-effectiveness review; most were of poor methodological quality. Evidence suggested that peer education interventions are effective at reducing risky behaviours, and that peer support services are acceptable within the prison environment and have a positive effect on recipients, practically or emotionally. Consistent evidence from many, predominantly qualitative, studies, suggested that being a peer deliverer was associated with positive effects. There was little evidence on cost-effectiveness of peer-based interventions.

CONCLUSIONS

There is consistent evidence from a large number of studies that being a peer worker is associated with positive health; peer support services are also an acceptable source of help within the prison environment and can have a positive effect on recipients. Research into cost-effectiveness is sparse.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO ref: CRD42012002349.

Motivational interviewing for smoking cessation

BACKGROUND

Motivational Interviewing (MI) is a directive patient-centred style of counselling, designed to help people to explore and resolve ambivalence about behaviour change. It was developed as a treatment for alcohol abuse, but may help people to a make a successful attempt to quit smoking.

OBJECTIVES

To determine whether or not motivational interviewing (MI) promotes smoking cessation.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialized Register for studies using the term motivat* NEAR2 (interview* OR enhanc* OR session* OR counsel* OR practi* OR behav*) in the title or abstract, or motivation* as a keyword. Date of the most recent search: August 2014.

SELECTION CRITERIA

Randomized controlled trials in which motivational interviewing or its variants were offered to tobacco users to assist cessation.

DATA COLLECTION AND ANALYSIS

We extracted data in duplicate. The main outcome measure was abstinence from smoking after at least six months follow-up. We used the most rigorous definition of abstinence in each trial, and biochemically validated rates where available. We counted participants lost to follow-up as continuing smoking or relapsed. We performed meta-analysis using a fixed-effect Mantel-Haenszel model.

MAIN RESULTS

We identified 28 studies published between 1997 and 2014, involving over 16,000 participants. MI was conducted in one to six sessions, with the duration of each session ranging from 10 to 60 minutes. Interventions were delivered by primary care physicians, hospital clinicians, nurses or counsellors. Our meta-analysis of MI versus brief advice or usual care yielded a modest but significant increase in quitting (risk ratio (RR) 1.26; 95% confidence interval (CI) 1.16 to 1.36; 28 studies; N = 16,803). Subgroup analyses found that MI delivered by primary care physicians resulted in an RR of 3.49 (95% CI 1.53 to 7.94; 2 trials; N = 736). When delivered by counsellors the RR was smaller (1.25; 95% CI 1.15 to 1.63; 22 trials; N = 13,593) but MI still resulted in higher quit rates than brief advice or usual care. When we compared MI interventions conducted through shorter sessions (less than 20 minutes per session) to controls, this resulted in an RR of 1.69 (95% CI 1.34 to 2.12; 9 trials; N = 3651). Single-session treatments might increase the likelihood of quitting over multiple sessions, but both regimens produced positive outcomes. Evidence is unclear at present on the optimal number of follow-up calls.There was variation across the trials in treatment fidelity. All trials used some variant of motivational interviewing. Critical details in how it was modified for the particular study population, the training of therapists and the content of the counselling were sometimes lacking from trial reports.  

AUTHORS' CONCLUSIONS

Motivational interviewing may assist people to quit smoking. However, the results should be interpreted with caution, due to variations in study quality, treatment fidelity, between-study heterogeneity and the possibility of publication or selective reporting bias.

Evaluation and costs of volunteer telephone cessation follow-up counseling for Veteran smokers discharged from inpatient units: a quasi-experimental, mixed methods study

Background

The Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework was used to evaluate the volunteer telephone smoking cessation counseling follow-up program implemented as part of the inpatient Tobacco Tactics intervention in a Veterans Affairs (VA) hospital.

Methods

This was a quasi-experimental, mixed methods design that collected data through electronic medical records (EMR), observations of telephone smoking cessation counseling calls, interviews with staff and Veterans involved in the program, and intervention costs.

Results

Reach: Of the 131 Veterans referred to the smoking cessation telephone follow-up program, 19% were reached 0–1 times, while 81% were reached 2–4 times. Effectiveness: Seven-day point-prevalence 60-day quit rates (abstracted from the EMR) for those who were reached 2–4 times were 26%, compared to 8% among those who were reached 0–1 times (p = 0.06). Sixty-day 24-hour point-prevalence quit rates were 33% for those reached 2–4 times, compared to 4% of those reached 0–1 times (p < 0.01). Adoption and Implementation: The volunteers correctly followed protocol and were enthusiastic about performing the calls. Veterans who were interviewed reported positive comments about the calls. The cost to the hospital was $21 per participating Veteran, and the cost per quit was $92. Maintenance: There was short-term maintenance (about 1 year), but the program was not sustainable long term.

Conclusions

Quit rates were higher among those Veterans that had greater participation in the calls. Joint Commission standards for inpatient smoking with follow-up calls are voluntary, but should these standards become mandatory, there may be more motivation for VA administration to institute a hospital-based, volunteer telephone smoking cessation follow-up program.

Trial registration

ClinicalTrials.Gov NCT01359371.

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.

A systematic review of the effectiveness and cost-effectiveness of peer-based interventions to maintain and improve offender health in prison settings

Background

Offender health is deemed a priority issue by the Department of Health. Peer support is an established feature of prison life in England and Wales; however, more needs to be known about the effectiveness of peer-based interventions to maintain and improve health in prison settings.

Objectives

The study aimed to synthesise the evidence on peer-based interventions in prison settings by carrying out a systematic review and holding an expert symposium. Review questions were (1) what are the effects of peer-based interventions on prisoner health and the determinants of prisoner health?, (2) what are the positive and negative impacts on health services within prison settings of delivering peer-based interventions?, (3) how do the effects of peer-based approaches compare with those of professionally led approaches? and (4) what are the costs and cost-effectiveness of peer-based interventions in prison settings?

Data sources

For the systematic review, 20 electronic databases including MEDLINE, PsycINFO, the Cumulative Index to Nursing and Allied Health Literature and EMBASE were searched from 1985. Grey literature and relevant websites were also searched. To supplement the review findings 58 delegates, representing a variety of organisations, attended an expert symposium, which provided contextual information.

Review methods

Two reviewers independently selected studies using the following inclusion criteria: population – prisoners resident in prisons and young offender institutions; intervention – peer-based interventions; comparators: review questions 3 and 4 compared peer-led and professionally led approaches; outcomes – prisoner health or determinants of health, organisational/process outcomes or views of prison populations; study design: quantitative, qualitative and mixed-methods evaluations. Two reviewers extracted data and assessed validity using piloted electronic forms and validity assessment criteria based on published checklists. Results from quantitative studies were combined using narrative summary and meta-analysis when appropriate; results from qualitative studies were combined using thematic synthesis.

Results

A total of 15,320 potentially relevant papers were identified of which 57 studies were included in the effectiveness review and one study was included in the cost-effectiveness review; most were of poor methodological quality. A typology of peer-based interventions was developed. Evidence suggested that peer education interventions are effective at reducing risky behaviours and that peer support services provide an acceptable source of help within the prison environment and have a positive effect on recipients; the strongest evidence came from the Listener scheme. Consistent evidence from many predominantly qualitative studies suggested that being a peer deliverer was associated with positive effects across all intervention types. There was limited evidence about recruitment of peer deliverers. Recurring themes were the importance of prison managerial and staff support for schemes to operate successfully, and risk management. There was little evidence on the cost-effectiveness of peer-based interventions. An economic model, developed from the results of the effectiveness review, although based on data of variable quality and a number of assumptions, showed the cost-effectiveness of peer-led over professionally led education in prison for the prevention of human immunodeficiency virus (HIV) infection.

Limitations

The 58 included studies were, on the whole, of poor methodological quality.

Conclusions

There is consistent evidence from a large number of studies that being a peer worker is associated with positive health. Peer support services can also provide an acceptable source of help within the prison environment and can have a positive effect on recipients. This was confirmed by expert evidence. Research into cost-effectiveness is sparse but a limited HIV-specific economic model, although based on a number of assumptions and evidence of variable quality, showed that peer interventions were cost-effective compared with professionally led interventions. Well-designed intervention studies are needed to provide robust evidence including assessing outcomes for the target population, economic analysis of cost-effectiveness and impacts on prison health services. More research is needed to examine issues of reach, utilisation and acceptability from the perspective of recipients and those who choose not to receive peer support.

Study registration

This study was registered as PROSPERO CRD42012002349.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

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.

A substance use decision aid for medically at-risk adolescents: results of a randomized controlled trial for cancer-surviving adolescents

BACKGROUND

Adolescent survivors of childhood cancer engage in risky behaviors.

OBJECTIVE

This study tested a decision aid for cancer-surviving adolescents aimed at difficult decisions related to engaging in substance use behaviors.

METHODS

This randomized controlled trial recruited 243 teen survivors at 3 cancer centers. The cognitive-behavioral skills program focused on decision making and substance use within the context of past treatment. Effects at 6 and 12 months were examined for decision making, risk motivation, and substance use behaviors using linear regression models.

RESULTS

The majority of the teen cancer survivors (90%) rated the program as positive. There was an intermediate effect at 6 months for change in risk motivation for low riskers, but this effect was not sustained at 12 months. For quality decision making, there was no significant effect between treatment groups for either time point.

CONCLUSIONS

The overall program effects were modest. Once teen survivors are in the program and learn what quality decision making is, their written reports indicated adjustment in their perception of their decision-making ability; thus, a more diagnostic baseline decision-making measure and a more intensive intervention are needed in the last 6 months. With 2 of 3 teen participants dealing with cognitive difficulties, the data suggest that this type of intervention will continue to be challenging, especially when 90% of their household members and 56% of their close friends model substance use.

IMPLICATIONS FOR PRACTICE

This effectiveness trial using late-effects clinics provides recommendations for further program development for medically at-risk adolescents, particularly ones with cognitive difficulties.

Intervention format and delivery preferences among young adult cancer survivors

BACKGROUND

Young adult cancer survivors face a number of increased medical and psychosocial risks, including an increased risk of cardiovascular disease and emotional distress. Although behavioral strategies, such as exercise, may diminish some of these risks, few behavioral interventions have been developed for this population.

PURPOSE

As a first step toward developing interventions specifically for young survivors, we conducted a qualitative study of their intervention-related preferences. A key objective was to identify the preferred format for delivering interventions (e.g., face-to-face, online).

METHOD

In-depth, semi-structured individual interviews were conducted with 20 young adult cancer survivors between the ages of 18 and 39. This research was conducted in Rhode Island, USA.

RESULTS

Participants identified advantages and disadvantages to a variety of intervention formats including: telephone-based, print-based, computer-based, and several types of face-to-face interventions. The dominant theme that emerged was that interventions developed for young adult cancer survivors should take into account their multiple competing needs and obligations (e.g., work, family). Two closely related subthemes were: (1) the importance of developing interventions that are convenient and (2) the need for interventions that provide social support. Interventions for this population may be most successful if they take into account these themes.

CONCLUSION

Data indicate that young adult cancer survivors have some unique needs (e.g., multiple competing demands of young adulthood) and preferences (e.g., comfort with remotely delivered interventions) that differentiate them from older cancer survivors. Thus, young survivors would be best served by interventions designed to specifically target this population.

Accelerated aging among cancer survivors: from pediatrics to geriatrics

There are almost 14-million cancer survivors in the United States and the population is growing. Almost two-thirds of these survivors are age 65 or older. Given this, it is imperative to understand the impact of cancer and its therapies on the aging process. Childhood cancer survivors, diagnosed with cancer at age 21 or younger, particularly females, have rates of frailty similar to rates in older adults. This phenomenon appears to start early, suggesting an aging phenotype. Frailty among childhood cancer survivors increases risk for chronic disease and mortality. Adults diagnosed with cancer are faced with the effects of cancer and its therapies compounded by the issues of multiple morbidities that occur with the typical aging process. Intervention studies to date have focused on smoking cessation, diet, and exercise, as well as improving rates of late effects surveillance in childhood cancer survivors. No intervention studies have specifically addressed the issue of frailty or multiple morbidities in cancer survivors. Concerted efforts must continue to create and disseminate survivorship care plans to all cancer survivors.

Cost-effectiveness of health-related lifestyle advice delivered by peer or lay advisors: synthesis of evidence from a systematic review

BACKGROUND

Development of new peer or lay health-related lifestyle advisor (HRLA) roles is one response to the need to enhance public engagement in, and improve cost-effectiveness of, health improvement interventions. This article synthesises evidence on the cost-effectiveness of HRLA interventions aimed at adults in developed countries, derived from the first systematic review of the effectiveness, cost-effectiveness, equity and acceptability of different types of HRLA role.

METHODS

The best available evidence on the cost-effectiveness of HRLA interventions was obtained using systematic searches of 20 electronic databases and key journals, as well as searches of the grey literature and the internet. Interventions were classified according to the primary health behaviour targeted and intervention costs were estimated where necessary. Lifetime health gains were estimated (in quality-adjusted life years, where possible), based on evidence of effectiveness of HRLAs in combination with published estimates of the lifetime health gains resulting from lifestyle changes, and assumptions over relapse. Incremental cost-effectiveness ratios are reported.

RESULTS

Evidence of the cost-effectiveness of HRLAs was identified from 24 trials included in the systematic review. The interventions were grouped into eight areas. We found little evidence of effectiveness of HRLAs for promotion of exercise/improved diets. Where HRLAs were effective cost-effectiveness varied considerably: Incremental Cost effectiveness Ratios were estimated at £6,000 for smoking cessation; £14,000 for a telephone based type 2 diabetes management; and £250,000 or greater for promotion of mammography attendance and for HIV prevention amongst drug users. We lacked sufficient evidence to estimate ICERs for breastfeeding promotion and mental health promotion, or to assess the impact of HRLAs on health inequalities.

CONCLUSIONS

Overall, there is limited evidence suggesting that HRLAs are cost-effective in terms of changing health-related knowledge, behaviours or health outcomes. The evidence that does exist indicates that HRLAs are only cost-effective when they target behaviours likely to have a large impact on overall health-related quality of life. Further development of HRLA interventions needs to target specific population health needs where potential exists for significant improvement, and include rigorous evaluation to ensure that HRLAs provide sufficient value for money.

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.

Telephone counselling for smoking cessation

BACKGROUND

Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines.

OBJECTIVES

To evaluate the effect of proactive and reactive telephone support via helplines and in other settings to help smokers quit.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2013.

SELECTION CRITERIA

randomized or quasi-randomised controlled trials in which proactive or reactive telephone counselling to assist smoking cessation was offered to smokers or recent quitters.

DATA COLLECTION AND ANALYSIS

One author identified and data extracted trials, and a second author checked them. The main outcome measure was the risk ratio for abstinence from smoking after at least six months follow-up. We selected the strictest measure of abstinence, using biochemically validated rates where available. We considered participants lost to follow-up to be continuing smokers. Where trials had more than one arm with a less intensive intervention we used only the most similar intervention without the telephone component as the control group in the primary analysis. We assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I² statistic. We considered trials recruiting callers to quitlines separately from studies recruiting in other settings. Where appropriate, we pooled studies using a fixed-effect model. We used a meta-regression to investigate the effect of differences in planned number of calls, selection for motivation, and the nature of the control condition (self help only, minimal intervention, pharmacotherapy) in the group of studies recruiting in non-quitline settings.

MAIN RESULTS

Seventy-seven trials met the inclusion criteria. Some trials were judged to be at risk of bias in some domains but overall we did not judge the results to be at high risk of bias. Among smokers who contacted helplines, quit rates were higher for groups randomized to receive multiple sessions of proactive counselling (nine studies, > 24,000 participants, risk ratio (RR) for cessation at longest follow-up 1.37, 95% confidence interval (CI) 1.26 to 1.50). There was mixed evidence about whether increasing the number of calls altered quit rates but most trials used more than two calls. Three studies comparing different counselling approaches during a single quitline contact did not detect significant differences. Of three studies that tested the provision of access to a hotline two detected a significant benefit and one did not.Telephone counselling not initiated by calls to helplines also increased quitting (51 studies, > 30,000 participants, RR 1.27; 95% CI 1.20 to 1.36). In a meta-regression controlling for other factors the effect was estimated to be slightly larger if more calls were offered, and in trials that specifically recruited smokers motivated to try to quit. The relative extra benefit of counselling was smaller when it was provided in addition to pharmacotherapy (usually nicotine replacement therapy) than when the control group only received self-help material or a brief intervention.A further eight studies were too diverse to contribute to meta-analyses and are discussed separately. Two compared different intensities of counselling, both of which detected a dose response; one of these detected a benefit of multiple counselling sessions over a single call for people prescribed bupropion. The others tested a variety of interventions largely involving offering telephone counselling as part of a referral or systems change and none detected evidence of effect.

AUTHORS' CONCLUSIONS

Proactive telephone counselling aids smokers who seek help from quitlines. Telephone quitlines provide an important route of access to support for smokers, and call-back counselling enhances their usefulness. There is limited evidence about the optimal number of calls. Proactive telephone counselling also helps people who receive it in other settings. There is some evidence of a dose response; one or two brief calls are less likely to provide a measurable benefit. Three or more calls increase the chances of quitting compared to a minimal intervention such as providing standard self-help materials, or brief advice, or compared to pharmacotherapy alone.

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.

Culturally targeted patient navigation for increasing african americans' adherence to screening colonoscopy: a randomized clinical trial

BACKGROUND

Patient navigation has been an effective intervention to increase cancer screening rates. This study focuses on predicting outcomes of screening colonoscopy for colorectal cancer among African Americans using different patient navigation formats.

METHODS

In a randomized clinical trial, patients more than 50 years of age without significant comorbidities were randomized into three navigation groups: peer-patient navigation (n = 181), pro-patient navigation (n = 123), and standard (n = 46). Pro-patient navigations were health care professionals who conducted culturally targeted navigation, whereas peer-patient navigations were community members trained in patient navigation who also discussed their personal experiences with screening colonoscopy. Two assessments gathered sociodemographic, medical, and intrapersonal information.

RESULTS

Screening colonoscopy completion rate was 75.7% across all groups with no significant differences in completion between the three study arms. Annual income more than $10,000 was an independent predictor of screening colonoscopy adherence. Unexpectedly, low social influence also predicted screening colonoscopy completion.

CONCLUSIONS

In an urban African American population, patient navigation was effective in increasing screening colonoscopy rates to 15% above the national average, regardless of patient navigation type or content.

IMPACT

Because patient navigation successfully increases colonoscopy adherence, cultural targeting may not be necessary in some populations.

Culturally targeted patient navigation for increasing african americans' adherence to screening colonoscopy: a randomized clinical trial

BACKGROUND

Patient navigation has been an effective intervention to increase cancer screening rates. This study focuses on predicting outcomes of screening colonoscopy for colorectal cancer among African Americans using different patient navigation formats.

METHODS

In a randomized clinical trial, patients more than 50 years of age without significant comorbidities were randomized into three navigation groups: peer-patient navigation (n = 181), pro-patient navigation (n = 123), and standard (n = 46). Pro-patient navigations were health care professionals who conducted culturally targeted navigation, whereas peer-patient navigations were community members trained in patient navigation who also discussed their personal experiences with screening colonoscopy. Two assessments gathered sociodemographic, medical, and intrapersonal information.

RESULTS

Screening colonoscopy completion rate was 75.7% across all groups with no significant differences in completion between the three study arms. Annual income more than $10,000 was an independent predictor of screening colonoscopy adherence. Unexpectedly, low social influence also predicted screening colonoscopy completion.

CONCLUSIONS

In an urban African American population, patient navigation was effective in increasing screening colonoscopy rates to 15% above the national average, regardless of patient navigation type or content.

IMPACT

Because patient navigation successfully increases colonoscopy adherence, cultural targeting may not be necessary in some populations.

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.