A multi-method evaluation of tobacco treatment trial recruitment messages for current smokers recently diagnosed with cancer: A pilot factorial randomized control trial (Preprint)

Background

A cancer diagnosis can catalyze motivation to quit smoking. Tobacco treatment trials offer cessation resources but have low accrual rates. Digital outreach may improve accrual, but knowledge of how best to recruit smokers with recent diagnoses is limited.

Objective

This study aims to identify the message frames that were most effective in promoting intent to talk to a physician about participating in a tobacco treatment trial for smokers recently diagnosed with cancer.

Methods

From February to April 2019, current smokers diagnosed within the past 24 months were recruited from a national web-based panel for a multimethod pilot randomized trial (N=99). Participants were randomized to a 2×3 plus control factorial design that tested 3 unique message frames: proximal versus distal threats of smoking, costs of continued smoking versus benefits of quitting, and gains of participating versus losses of not participating in a tobacco treatment trial. The primary outcome was intent to talk to a physician about participating in a tobacco treatment trial. In phase 1, the main effect within each message factor level was examined using ANOVA and compared with the control condition. Other message evaluation and effectiveness measures were collected and explored in a multivariable model predicting intent to talk to a physician. In phase 2, open-text evaluations of the messages were analyzed using natural language processing software (Leximancer) to generate a thematic concept map and Linguistic Inquiry Word Count to identify and compare the prevalence of linguistic markers among message factors.

Results

Of the 99 participants, 76 (77%) completed the intervention. Participants who received the cost of continued smoking frame were significantly more likely to intend to talk to their physician about participating in a tobacco treatment trial than those who received the benefits of the quitting frame (mean costs 5.13, SD 1.70 vs mean benefits 4.23, SD 1.86; P=.04). Participants who received the proximal risks of continued smoking frame were significantly more likely to seek more information about participating (mean distal 4.83, SD 1.61 vs mean proximal 5.55, SD 1.15; P=.04), and those who received the losses of not participating frame reported significantly improved perceptions of smoking cessation research (mean gain 3.98, SD 0.83 vs mean loss 4.38, SD 0.78; P=.01). Male participants (P=.006) and those with greater message relevancy (P=.001) were significantly more likely to intend to talk to their physician. Participants’ perceptions of their smoking habits, as well as their motivation to quit smoking, were prevalent themes in the open-text data. Differences in the percentages of affective words across message frames were identified.

Conclusions

Multimethod approaches are needed to develop evidence-based recruitment messages for patients recently diagnosed with cancer. Future tobacco treatment trials should evaluate the effectiveness of different message frames on smoker enrollment rates.

Trial Registration

Clinicaltrials.gov NCT05471284; https://clinicaltrials.gov/ct2/show/NCT05471284

A Multi-step Approach to Adapting a Mind-Body Resiliency Intervention for Fear of Cancer Recurrence and Uncertainty in Survivorship (IN FOCUS)

BACKGROUND

For cancer survivors, there is a paucity of fear of recurrence (FOR) interventions that integrate empirically supported mind-body and psychological skills for managing FOR and are delivered in scalable formats.

OBJECTIVE

To adapt an evidence-based resiliency intervention to address FOR among cancer survivors.

METHODS

A multidisciplinary team of researchers, clinicians, and patient stakeholders followed an iterative intervention adaptation process (ORBIT). In Step 1, we sought to define key FOR management skills through a literature review and feedback from stakeholders. In Step 2, we integrated findings into a treatment manual and refined procedures for in-person delivery to groups of cancer survivors, defined as adults who had completed primary cancer treatment for non-metastatic cancer. In Step 3, we conducted a single arm trial to assess initial acceptability and change in FOR severity with 23 cancer survivors (N=4 intervention groups). In Step 4, we conducted additional qualitative interviews with 28 cancer survivors (N=6 focus groups stratified by FOR severity, N=15 individual interviews) to define adaptive and maladaptive strategies for coping with FOR and to identify preferences for delivery. In Step 5, we refined the treatment manual and procedures for testing in a future pilot randomized feasibility trial.

RESULTS

We identified critical feedback using a combination of qualitative and quantitative methods. The single arm trial suggested preliminary feasibility and sustained reductions in FOR severity, yet need for refinement (i.e., eligibility, delivery modality), prompting additional qualitative interviews for further targeting. The resulting intervention (IN FOCUS) is comprised of virtual, synchronous, group-delivered sessions that offer an integrated approach to FOR management by teaching cognitive-behavioral techniques, meditation, relaxation training, adaptive health behaviors, and positive psychology skills. Sessions are targeted by applying skills to FOR and associated healthcare engagement.

CONCLUSIONS

IN FOCUS is a targeted intervention for teaching mind-body resiliency skills to groups of cancer survivors with elevated FOR. Next steps are testing feasibility in a pilot randomized trial.

Randomized Waitlist-Control Trial of a Web-Based Stress-Management and Resiliency Program for Adolescent and Young Adult Cancer Survivors: Protocol for the Bounce Back Study

Background

The emotional health of adolescent and young adult (AYA) cancer survivors is compromised both during and after cancer treatment. Targeted programs designed to support AYAs’ ability to cope with stress in the years following treatment completion are lacking. Mind-body programs may ameliorate the negative psychological and emotional effects of stress and assist AYAs with managing the psychosocial challenges of early survivorship.

Objective

Our randomized waitlist-control trial aims to assess the feasibility, acceptability, and preliminary efficacy of a virtual group program (Bounce Back) to promote stress management and resiliency among posttreatment AYAs.

Methods

Bounce Back is a stress management and resiliency program delivered via videoconference by a trained mental health clinician. Sessions were adapted from an evidence-based mind-body program (Stress Management and Resiliency Training - Relaxation Response Resiliency Program [SMART-3RP]) grounded in relaxation response elicitation, mindfulness, cognitive behavioral therapy, and positive psychology. Seventy-two AYAs (diagnosed with cancer between ages 14 years and 29 years and had completed cancer treatment within the last 5 years) were randomly assigned to the Bounce Back program or waitlist-control group and completed assessments at baseline, 3 months postbaseline, and 6 months postbaseline. The primary aim of the study is to determine the feasibility and acceptability of the Bounce Back program. Descriptive statistics, including means, frequencies, and ranges supplemented by qualitative exit interview feedback will be used to characterize the sample and to summarize feasibility and acceptability. The exploratory aims are to evaluate the preliminary effects of the program on stress coping and psychosocial outcome measures (ie, anxiety, depression) collected across the 3 time points.

Results

This study was funded by the National Cancer Institute in July 2017. Study procedures were approved by the Dana-Farber Harvard Cancer Center Institutional Review Board in October 2018 (Protocol 18-428). The randomized trial was conducted from July 2019 to March 2021. Quantitative data collection is complete, and qualitative exit interview data collection is ongoing. Results are expected to be published in peer-reviewed journals and presented at local, national, or international meetings in the coming years.

Conclusions

Few evidence-based programs exist that tackle the key transitional issues faced by AYA cancer survivors. Future analyses will help us determine the feasibility and acceptability of the Bounce Back program and its impact on AYA stress coping and psychological well-being.

Trial Registration

ClinicalTrials.gov NCT03768336; https://clinicaltrials.gov/ct2/show/NCT03768336

International Registered Report Identifier (IRRID)

DERR1-10.2196/34033

A Web-Based Intervention to Increase Smokers' Intentions to Participate in a Cessation Study Offered at the Point of Lung Screening: Factorial Randomized Trial

BACKGROUND

Screen ASSIST is a cessation trial offered to current smokers at the point of lung cancer screening. Because of the unique position of promoting a prevention behavior (smoking cessation) within the context of a detection behavior (lung cancer screening), this study employed prospect theory to design and formatively evaluate a targeted recruitment video prior to trial launch.

OBJECTIVE

The aim of this study was to identify which message frames were most effective at promoting intent to participate in a smoking cessation study.

METHODS

Participants were recruited from a proprietary opt-in online panel company and randomized to a 2 (benefits of quitting vs risks of continuing to smoke at the time of lung screening; BvR) × 2 (gains of participating vs losses of not participating in a cessation study; GvL) message design experiment (N=314). The primary outcome was self-assessed intent to participate in a smoking cessation study. Message effectiveness and lung cancer risk perception measures were also collected. Analysis of variance examined the main effect of the 2 message factors and a least absolute shrinkage and selection operator (LASSO) approach identified predictors of intent to participate in a multivariable model. A mediation analysis was conducted to determine the direct and indirect effects of message factors on intent to participate in a cessation study.

RESULTS

A total of 296 participants completed the intervention. There were no significant differences in intent to participate in a smoking cessation study between message frames (P=.12 and P=.61). In the multivariable model, quit importance (P<.001), perceived message relevance (P<.001), and affective risk response (ie, worry about developing lung cancer; P<.001) were significant predictors of intent to participate. The benefits of quitting frame significantly increased affective risk response (Meanbenefits 2.60 vs Meanrisk 2.40; P=.03), which mediated the relationship between message frame and intent to participate (b=0.24; 95% CI 0.01-0.47; P=.03).

CONCLUSIONS

This study provides theoretical and practical guidance on how to design and evaluate proactive recruitment messages for a cessation trial. Based on our findings, we conclude that heavy smokers are more responsive to recruitment messages that frame the benefits of quitting as it increased affective risk response, which predicted greater intention to participate in a smoking cessation study.

A Comprehensive Resiliency Framework: Theoretical Model, Treatment, and Evaluation

BACKGROUND

There is heterogeneity in conceptualizations of resiliency, and there is, to date, no established theoretically driven resiliency assessment measure that aligns with a targeted resiliency intervention. We operationalize resiliency as one's ability to maintain adaptive functioning in response to the ongoing, chronic stress of daily living, and we use a novel resiliency measure that assesses the target components of an evidence based resiliency intervention. We present our resiliency theory, treatment model, and corresponding assessment measure (Current Experience Scale; CES).

METHODS

To establish the psychometric properties of the CES, we report the factor structure and internal consistency reliability (N = 273). Among participants in our resiliency intervention (N = 151), we explored construct validity in terms of associations with theoretical model constructs, a validated resiliency measure, and sensitivity to change from before to after the intervention.

RESULTS

Results indicated that a 23-item, 6-factor solution was a good fit to the data (RMSEA = .08, CFI = .97; TLI =.96) and internal consistency was good (α = .81 to .95). The CES showed correlations in the expected direction with resiliency model constructs (all p's < .001) and significant post intervention improvements.

CONCLUSION

Our resiliency theory, treatment model, and outcome appear aligned; the CES demonstrated promise as a psychometrically sound outcome measure for our resiliency intervention and may be used in future longitudinal studies and resiliency building interventions to assess individuals' resiliency to adapt to ongoing stress.