Effect of a Digital Health Intervention on Receipt of Colorectal Cancer Screening in Vulnerable Patients: A Randomized Controlled Trial.

Background: Screening for colorectal cancer (CRC) reduces mortality, yet more than one third of age-eligible Americans are unscreened. Objective: To examine the effect of a digital health intervention, Mobile Patient Technology for Health-CRC (mPATH-CRC), on rates of CRC screening. Design: Randomized clinical trial. (ClinicalTrials.gov: NCT02088333). Setting: 6 community-based primary care practices. Participants: 450 patients (223 in the mPATH-CRC group and 227 in usual care) scheduled for a primary care visit and due for routine CRC screening. Intervention: An iPad application that displays a CRC screening decision aid, lets patients order their own screening tests, and sends automated follow-up electronic messages to support patients. Measurements: The primary outcome was chart-verified completion of CRC screening within 24 weeks. Secondary outcomes were ability to state a screening preference, intention to receive screening, screening discussions, and orders for screening tests. All outcome assessors were blinded to randomization. Results: Baseline characteristics were similar between groups; 37% of participants had limited health literacy, and 53% had annual incomes less than $20 000. Screening was completed by 30% of mPATH-CRC participants and 15% of those receiving usual care (logistic regression odds ratio, 2.5 [95% CI, 1.6 to 4.0]). Compared with usual care, more mPATH-CRC participants could state a screening preference, planned to be screened within 6 months, discussed screening with their provider, and had a screening test ordered. Half of mPATH-CRC participants (53%; 118 of 223) "self-ordered" a test via the program. Limitation: Participants were English speakers in a single health care system. Conclusion: A digital health intervention that allows patients to self-order tests can increase CRC screening. Future research should identify methods for implementing similar interventions in clinical care. Primary Funding Source: National Cancer Institute.

The OaSiS trial: A hybrid type II, national cluster randomized trial to implement smoking cessation during CT screening for lung cancer.

INTRODUCTION: When the Centers for Medicare and Medicaid Services announced coverage for low dose CT lung cancer screening, they also mandated that imaging centers offer smoking cessation services. We designed the Optimizing Lung Screening (OaSiS) trial to evaluate strategies to implement the Public Health Service Guidelines for Treating Tobacco Use and Dependence during CT screening for lung cancer. METHODS AND DESIGN: OaSiS was implemented using a pragmatic effectiveness-implementation hybrid design in 26 imaging clinics across the United States affiliated with the National Cancer Institute's National Community Oncology Research Program (NCORP). The 26 sites selected for participation in the OaSiS trial were randomized to receive either a compendium of implementation strategies to add or enhance smoking cessation services during lung screening or to usual care. Usual care sites were given the option to receive the full compendium of implementation strategies at the conclusion of data collection. We have evaluated both the effectiveness of the implementation strategies to improve smoking cessation at six months among patients undergoing LDCT screening as well as the adoption and sustainability of evidence-based tobacco cessation strategies in imaging clinics. DISCUSSION: The OaSiS trial was designed to identify opportunities for implementing evidence-based smoking cessation into LDCT lung cancer screening imaging facilities and to establish the effectiveness of these services. We report our study design and evaluation, including strengths of the pragmatic design and the inclusion of a diverse range of screening programs. Establishing these tobacco cessation services will be critical to reducing smoking related morbidity and mortality.

Usability of a Novel Mobile Health iPad App by Vulnerable Populations.

BACKGROUND: Recent advances in mobile technologies have created new opportunities to reach broadly into populations that are vulnerable to health disparities. However, mobile health (mHealth) strategies could paradoxically increase health disparities, if low socioeconomic status individuals lack the technical or literacy skills needed to navigate mHealth programs. OBJECTIVE: The aim of this study was to determine whether patients from vulnerable populations could successfully navigate and complete an mHealth patient decision aid. METHODS: We analyzed usability data from a randomized controlled trial of an iPad program designed to promote colorectal cancer (CRC) screening. The trial was conducted in six primary care practices and enrolled 450 patients, aged 50-74 years, who were due for CRC screening. The iPad program included a self-survey and randomly displayed either a screening decision aid or a video about diet and exercise. We measured participant ability to complete the program without assistance and participant-rated program usability. RESULTS: Two-thirds of the participants (305/450) were members of a vulnerable population (limited health literacy, annual income < US $20,000, or black race). Over 92% (417/450) of the participants rated the program highly on all three usability items (90.8% for vulnerable participants vs 96.6% for nonvulnerable participants, P=.006). Only 6.9% (31/450) of the participants needed some assistance to complete the program. In multivariable logistic regression, being a member of a vulnerable population was not associated with needing assistance. Only older age, less use of text messaging (short message service, SMS), and lack of Internet use predicted needing assistance. CONCLUSIONS: Individuals who are vulnerable to health disparities can successfully use well-designed mHealth programs. Future research should investigate whether mHealth interventions can reduce health disparities.