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Provider physical activity referrals are recommended for cancer survivors, though barriers exist to clinical system integration.To develop and test ActivityChoice, an electronic referral (eReferral) clinic implementation program referring cancer survivors to physical activity programs of their choice. In Phase 1, we conducted semi-structured interviews with Cancer Center clinicians (n= 4) and cancer-focused physical activity program leaders (n= 3) assessing adaptations needed to implement an eReferral previously designed for another context. In Phase 2, we pilot-tested clinician-delivered referrals to survivors in two 12-week Plan, Do, Study, Act (PDSA) cycles. We examined feasibility using descriptive statistics (clinicians’ adoption and engagement, patient referrals, and physical activity program enrollment) and acceptability through semi-structured interviews with enrolled clinicians (n= 4) and referred patients (n= 9). ActivityChoice included a secure referral webform, text message/email referral confirmations, clinician training/booster sessions, visual reminders, and referrals to in-person or virtual group physical activity programs. Results for each PDSA cycle respectively included: 41% (n= 7) and 53% (n= 8) of clinicians adopted ActivityChoice; 18 and 36 patients were referred; 39% (n= 7) and 33% (n= 12) of patients enrolled in programs, and 30% (n= 4) and 14% (n= 5) of patients deferred enrollment. Patients and clinicians appreciated the referrals and choices. A printed handout describing both programs was added to the clinic workflow for Cycle 2, which yielded more referrals, but lower program enrollment rates. Clinic-based eReferrals to choices of physical activity programs were feasible and acceptable by clinicians and patients. Added clinic workflow support may facilitate referrals.An electronic referral system for cancer care clinicians to refer cancer survivors to choices of physical activity programs was successfully implemented in survivors’ clinical care.Physical activity can improve the health, quality of life, and longevity among cancer survivors. Patients want to receive physical activity referrals and guidance from their cancer care team, but clinicians lack the knowledge, resources, time, and methods to counsel and refer their patients to community-based physical activity programs. One solution is to create a comprehensive electronic referral (eReferral) system giving cancer care clinicians the tools to support and refer their patients. We developed a simple eReferral that allows clinicians to refer patients to existing, evidence-based physical activity programs led by qualified exercise professions, LIVESTRONG at the YMCA (in-person) and Fit Cancer (virtual). We pilot tested the system with clinicians in two 12-week cycles. Clinicians were excited about the program and like the options they had to offer patients while providing suggestions on how we could better integrate it into their work environment. Patients appreciated the referral from their trusted cancer care clinician and appreciated choices of an in-person and virtual program to accommodate their preferences. To improve patient referrals and enrollment in physical activity programs, a more detailed printed handout that explains the benefits of physical activity in survivorship and describes each of the programs in detail may be helpful.Graphical Abstract

IMPORTANCE: Most trials of behavioral or pharmaceutical interventions for people who smoke are limited to individuals reporting they are ready to quit smoking. Engaging individuals who initially report they are not yet ready to quit in brief, precessation, skills-building interventions (eg, practice quit attempts or nicotine replacement therapy [NRT] sampling) is challenging. OBJECTIVE: To test an integrated behavioral plus NRT-sampling intervention using a gamification approach supported by mobile health. DESIGN, SETTING, AND PARTICIPANTS: A multisite randomized clinical trial with site-level 1-to-1 allocation into 2 conditions was conducted in 4 US health care systems. A total of 433 individuals who were currently smoking and reported at enrollment that they were not ready to quit smoking were enrolled. The study was conducted from November 7, 2016, to July 31, 2020. INTERVENTIONS: Take a Break (TAB) was a 3-week game experience and included 5 behavioral components (motivational messaging, challenge quizzes, brief abstinence goal setting, mobile health apps for cravings management, and reward points for participation) integrated with NRT sampling. TAB draws on social cognitive theory and game mechanics concepts to engage participants in health behavior change. The comparison included NRT sampling only. MAIN OUTCOMES AND MEASURES: Time to first quit attempt (duration from TAB experience to primary outcome) and carbon monoxide level–verified smoking cessation at 6-month follow-up. All analyses used an intention-to-treat approach. RESULTS: Of the 433 individuals included in the trial, 223 were women (52%); mean (SD) age was 54 (13) years. More than half (53% [112 of 213]) of the TAB participants completed 100% of the daily challenge quizzes in the first week, 73% (145 of 199) of participants who completed the goal-setting call set a brief abstinence goal (most frequently 1-2 days of abstinence from cigarettes), and 75% (159 of 213) of participants used the mobile health apps to manage nicotine cravings. Time to the first quit attempt was lower for the TAB vs comparison group (hazard ratio, 1.68; 95% CI, 1.09-2.60; P = .02). At the 6-month follow-up, 18% (28 of 160) of TAB participants and 10% (17 of 171) of the comparison (χ2 test, P = .045) participants obtained carbon monoxide level–verified smoking cessation (accounting for clustering of outcomes by site; odds ratio, 1.92; 95% CI, 1.01-3.68; P = .048). CONCLUSIONS AND RELEVANCE: The findings of this randomized clinical trial demonstrate that individuals not yet ready to quit smoking could be engaged in a brief abstinence game. Six months later, the TAB group had nearly double the rate of smoking cessation vs the NRT sampling comparison group. Integrating a skills-building game experience with brief NRT sampling can enhance long-term cessation among those not yet ready to quit smoking. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02973425

Purpose: To describe the content of messages sent by smokers through asynchronous counseling within a Web-based smoking cessation intervention.Design: Qualitative.Setting: National community-based setting of patients who had been engaged by the medical or dental practices at which they attended or via Google advertisements.Participants: Adults older than 19 years who were current smokers and interested in quitting. Participants throughout the United States referred to a Web-based cessation intervention by their medical or dental provider or by clicking on a Google advertisement.Methods: We conducted a qualitative review of 742 asynchronous counseling messages sent by 270 Web site users. Messages were reviewed, analyzed, and organized into qualitative themes by the investigative team.Results: The asynchronous counseling feature of the intervention was used most frequently by smokers who were white (87%), female (67%), aged 45 to 54 (32%), and who had at least some college-level education (70%). Qualitative analysis yielded 7 basic themes—Talk about the Process of Quitting, Barriers to Quitting, Reasons to Quit, Quit History, Support and Strategies for Quitting, Quitting with Medication, and Quit Progress. The most common theme was Support and Strategies for Quitting with 255 references among all messages.Conclusion: We found rich communication across the spectrum of the quit process, from persons preparing to quit to those who had successfully quit. Asynchronous smoking cessation counseling provides a promising means of social support for smokers during the quit process.

Online tobacco cessation communities are beneficial but underused. Our study examined whether, among smokers participating in a web-assisted tobacco intervention (Decide2quit.org), specific characteristics were associated with navigating to BecomeAnEx.org, an online cessation community, and with subsequent quit rates. Among smokers (N = 759) registered with Decide2quit.org, we identified visitors to BecomeAnEx.org, examining associations between smoker characteristics and likelihood of visiting. We then tested for associations between visits and 6-month cessation (point prevalence). We also tested for an interaction between use of other online support-seeking (Decide2quit.org tobacco cessation coaches), visiting, and 6-month cessation. One quarter (26.0 %; n = 197) of the smokers visited BecomeAnEx.org; less than one tenth (7.5 %; n = 57) registered to participate in the online forum. Visitors were more likely to be female (73.0 vs. 62.6 % of non-visitors, P < 0.01) to have visited a cessation website before (33.0 vs. 17.4 %, P < 0.01) and to report quit attempts in the previous year (62.0 vs. 53.0 %, P = 0.03). In analyses of all participants, BecomeAnEx.org visiting was not associated with 6-month quit completion. Among participants who communicated with a coach, BecomeAnEx.org visiting also lacked a significant association with 6 month quit completion, although a non-significant trend toward quit completion in visitors was noted (OR 2.21, 95 % CI 0.81-3.1). Online cessation communities attract smokers with previous cessation website experience and recent quit attempts. Community visiting was not associated with quit rates in our study, but low use may have limited our power to detect differences. Further research should explore whether an additive effect can be achieved by offering community visitors support via online coaches.

Background: Tobacco use is the leading preventable cause of death in the U.S. and has been called the number one behavioral health problem. Although 1 in every 5 Americans smoke cigarettes, approximately 70% report that they want to quit smoking. There are many public health self-management interventions for smoking cessation that have been found to be effective; however, they are substantially underutilized. As more than half of smokers see a dentist at least once per year, patient referrals at point of care to a self-managed smoking cessation intervention could greatly increase their use. Methods: We conducted a randomized controlled trial with community-based dental practices testing point-of care referrals of smokers to an interactive, tailored patient education website. Intervention practices referred patients via an electronic referral system (ReferASmoker) and control practices referred patients via a paper-based information prescription. Both control and intervention practices had access to the ReferASmoker website that has resources to assist with tobacco cessation services. The intervention practices, but not the control practices, received feedback about their number of patient referrals and the referral numbers of their peers. Results: One hundred and one community-based dental practices from 8 states referred close to 1,900 patients to a patient education website for the self-management of smoking cessation. Based on estimates by the dental practices, the majority of patients were between the ages of 19 and 64 years, 23% of patients seen in participating practices were African American and 61% of practices saw patients with private insurance. Control and intervention practices were similar at baseline on all characteristics assessed except control practices had a higher self-reported proportion of African American patients. Based on the project coordinator comments, the ReferASmoker website was easy to use and offered useful resources to assist with tobacco control services. Conclusions: Providers actively engaged in the program and were willing to refer patients to an online, tailored patient education website. Dental practices found the ReferASmoker tool useful and easy to implement into practice., Study Authors: Judith Huff-Shack, BS, RDH (1), Heather L. Coley, MPH (2), Thomas K. Houston, MD, MPH (3,4), Jessica H. Williams, MPH (5), Anne Hubbell, MS, RD, LD (6), Rajani [...]

Mobile applications (apps) to improve health are proliferating, but before healthcare providers or organizations can recommend an app to the patients they serve, they need to be confident the app will be user-friendly and helpful for the target disease or behavior. This paper summarizes seven strategies for evaluating and selecting health-related apps: (1) Review the scientific literature, (2) Search app clearinghouse websites, (3) Search app stores, (4) Review app descriptions, user ratings, and reviews, (5) Conduct a social media query within professional and, if available, patient networks, (6) Pilot the apps, and (7) Elicit feedback from patients. The paper concludes with an illustrative case example. Because of the enormous range of quality among apps, strategies for evaluating them will be necessary for adoption to occur in a way that aligns with core values in healthcare, such as the Hippocratic principles of nonmaleficence and beneficence.

Integrating electronic referral systems into clinical practices may increase use of web-accessible tobacco interventions. We report on our feasibility evaluation of using theory-driven implementation science techniques to translate an e-referral system (ReferASmoker.org) into the workflow of 137 community-based medical and dental practices, including system use, patient registration, implementation costs, and lessons learned. After 6 months, 2,376 smokers were e-referred (medical, 1,625; dental, 751). Eighty-six percent of the medical practices [75/87, mean referral = 18.7 (SD = 17.9), range 0-105] and dental practices [43/50, mean referral = 15.0 (SD = 10.5), range 0-38] had e-referred. Of those smokers e-referred, 25.3 registered [mean smoker registration rate-medical 4.9 (SD = 7.6, range 0-59), dental 3.6 (SD = 3.0, range 0-10)]. Estimated mean implementation costs are medical practices, US$429.00 (SD = 85.3); and dental practices, US$238.75 (SD = 13.6). High performing practices reported specific strategies to integrate ReferASmoker.org; low performers reported lack of smokers and patient disinterest in the study. Thus, a majority of practices e-referred and 25.3 % of referred smokers registered demonstrating e-referral feasibility. However, further examination of the identified implementation barriers is important as of the estimated 90,000 to 140,000 smokers seen in the 87 medical practices in 6 months, only 1,625 were e-referred.