Impact of group medical visits on patient engagement and quality of life.

BACKGROUND: Group medical visits (GMV) effectively improve patient care and outcomes through interactive education, increased patient contact, and facilitated social support. This quality improvement research examined if patient activation and quality of life correlate with weight, blood pressure (BP), and hemoglobin A1c (A1C) through GMV interventions. METHODS: Participants were enrolled in GMV Lighten Up for weight management or GMV Diabetes. At pre- and post-intervention, patients completed the Patient Activation Measure (PAM) and the health-related quality of life measure, the SF-12; and were assessed for weight, blood pressure (BP), and hemoglobin A1c (A1C). RESULTS: Weight and PAM scores significantly improved regardless of group. For patients in GMV Diabetes, A1C significantly decreased. GMV Lighten Up participants had statistically significant declines in diastolic BP. Both groups improved patient activation, but statistically significantly so only in GMV Diabetes participants. SF-12 scores did not statistically significantly improve. There were no predictors of A1C and PAM score change for the Diabetes GMV. However, age, SBP and SF-12 scores predicted PAM score changes in GMV Lighten up participants. CONCLUSIONS: Participants in this study showed overall improvement in biomarkers and patient activation. Thus, GMV continue to be a viable method for healthcare delivery.

The Optimizing Lung Screening Trial (WF-20817CD): Multicenter Randomized Effectiveness Implementation Trial to Increase Tobacco Use Cessation for Individuals Undergoing Lung Screening.

BACKGROUND: One-half of all people who undergo lung cancer screening (LCS) currently use tobacco. However, few published studies have explored how to implement effective tobacco use treatment optimally during the LCS encounter. RESEARCH QUESTION: Was the Optimizing Lung Screening intervention (OaSiS) effective at reducing tobacco use among patients undergoing LCS in community-based radiology facilities? STUDY DESIGN AND METHODS: The OaSiS study (National Cancer Institute [NCI] Protocol No.: WF-20817CD) is an effectiveness-implementation hybrid type II cluster randomized trial of radiology facilities conducted in partnership with the Wake Forest National Cancer Institute Community Oncology Research Program research base. We randomly assigned 26 radiology facilities in 20 states to the intervention or usual care group. Staff at intervention facilities implemented a variety of strategies targeting the clinic and care team. Eligible patient participants were aged 55 to 77 years undergoing LCS and currently using tobacco. Of 1,094 who completed a baseline survey (523 intervention group, 471 control group) immediately before the LCS appointment, 956 completed the 6-month follow-up (86% retention rate). Fifty-four percent of those who reported not using tobacco at 6 months completed biochemical verification via mailed cotinine assay. Generalized estimating equation marginal models were used in an intention-to-treat analysis to predict 7-day tobacco use abstinence. RESULTS: The average self-reported abstinence among participants varied considerably across facilities (0%-27%). Despite a significant increase in average cessation rate over time (0% at baseline to approximately 13% at 6 months; P < .0001), tobacco use did not differ by trial group at 14 days (OR, 0.96; 95% CI, 0.46-1.99; P = .90), 3 months (OR, 1.17; 95% CI, 0.69-1.99; P = .56), or 6 months (OR, 0.97; 95% CI, 0.65-1.43; P = .87). INTERPRETATION: The OaSiS trial participants showed a significant reduction in tobacco use over time, but no difference by trial arm was found. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT03291587; URL: www. CLINICALTRIALS: gov.

Preliminary evidence on cigarette nicotine reduction with concurrent access to an e-cigarette: Manipulating cigarette nicotine content, e-liquid nicotine content, and e-liquid flavor availability.

The reinforcing characteristics of e-cigarettes could moderate the impact of reducing cigarette nicotine content. In this study, people who smoke daily were recruited from North Carolina and Pennsylvania (US) in 2018 and 2019. Within a randomized 2 × 2 × 2 factorial design, participants received investigational cigarettes and an e-cigarette for 12 weeks. Cigarette nicotine content was very low (0.4 mg/g of tobacco; VLNC) or normal (15.8 mg/g; NNC). E-liquids were 0.3% ("low") or 1.8% ("moderate") freebase nicotine, and available in tobacco flavors or tobacco, fruit, dessert and mint flavors. Study recruitment concluded before reaching the planned sample size (N = 480). Fifty participants were randomized and 32 completed the study. We found that randomization to VLNC, relative to NNC cigarettes, reduced self-reported cigarettes per day (CPD; mean difference: -12.96; 95% CI: -21.51, -4.41; p = 0.005); whereas e-liquid nicotine content and flavor availability did not have significant effects. The effect of cigarette nicotine content was larger in the moderate vs. low nicotine e-liquid groups and in the all flavors versus tobacco flavors e-liquid groups; tests of the interaction between e-liquid characteristics and cigarette nicotine content were not significant. Biomarkers of smoke exposure at Week 12 did not differ across conditions, which may reflect variability in adherence to only using VLNC cigarettes. In conclusion this study offers preliminary evidence that the extent to which cigarette nicotine reduction decreases smoking may depend on the reinforcing characteristics of alternative products, including the available nicotine contents and flavors of e-cigarettes.

Cigar Harm Beliefs and Associations with Cigar Use among Young Adults.

BACKGROUND: Cigar use, including little cigars and cigarillos (LCCs) and large traditional cigars, continues to harm young adults. Research on harm beliefs about cigars, particularly large cigars, is sparse. The current study examined cigar harm beliefs and associations with cigar use. Methods: Data are from a 2019 survey of a young adult cohort study recruited in fall 2010. Participants were asked questions about their beliefs about the harm of LCC and large cigar use. Those reporting ever use of cigars were asked how frequently they inhale the smoke into their lungs. Results: Participants (N = 1910) were 51.9% female with a mean age of 26.7 (SD = 0.6). Ever cigar use was 44.2% for large cigars and 43% for LCCs. Compared to those who have never used large cigars or LCCs, those reporting ever use of large cigars or LCCs reported lower harm beliefs about inhaling harmful chemicals and becoming addicted (ps <.0001). Those who reported higher harm beliefs also reported inhaling the smoke into their lungs more frequently for large cigars and LCCs (ps<.05). Conclusions: Cigar use harm beliefs were lower among participants reporting ever use of cigars compared to those reporting never use. Contrary to predictions, those reporting greater harm beliefs were more likely to report inhaling smoke more frequently than those with lower harm beliefs.

Exposure to e-cigarette health claims and association with e-cigarette use and risk perceptions: A cohort study of young adults.

INTRODUCTION: E-cigarettes have been marketed illicitly as smoking cessation aids and reduced risk tobacco products in the United States. Our study assessed consumers' exposure to such claims and evaluated their impact on relative risk perceptions and e-cigarette use. METHODS: Data are from the Assessment of the post-College Experience study, which followed a cohort of young adults since 2010 when they were college freshmen. We used data from survey waves 10 (fall 2017) through 14 (fall 2019) to assess past 6 month exposure to e-cigarette marketing that made smoking cessation or modified risk tobacco product (MRTP) claims. Logistic regression models examined if exposure to claims at waves 11 through 14 were predictors of e-cigarette use and relative risk perceptions at wave 14. RESULTS: Exposure to MRTP (28.4% to 40.1%) and cessation claims (29.1% to 46.6%) increased, with participants reporting more exposure to cessation than MRTP claims at each wave. Multiple exposures were associated with perceptions that e-cigarettes are less harmful compared to cigarettes (Cessation: AOR = 1.12, CI: 1.01-1.23; p = 0.025; MRTP: AOR = 1.16; CI: 1.05-1.29; p = 0.003). Neither claim type was associated with past 30-day e-cigarette use. Claim exposure did not increase e-cigarette initiation among never e-cigarette users. However, current cigarette smokers who had never used e-cigarettes at wave 10 had 2.5 higher odds of initiating e-cigarette use by wave 14 for each exposure to a cessation claim (AOR = 2.53; CI: 1.43-4.45; p = 0.001). CONCLUSIONS: Young adults reported increasing exposure to unauthorized e-cigarette health claims. Exposure was associated with reduced relative risk perceptions, but was not associated with past 30-day e-cigarette use. Cessation claims may motivate current cigarette smokers to try e-cigarettes.

Longitudinal latent class analysis of tobacco use and correlates among young adults over a 10-year period.

INTRODUCTION: We assessed patterns and correlates, including demographic characteristics, psychological factors, and social role transitions, of young adults' tobacco use over time. METHODS: In the fall of 2010, we recruited a cohort of 3146 students from 11 colleges in North Carolina and Virginia. Participants completed baseline and at least two survey waves between 2010 and 2019. RESULTS: The sample was 49.8% female, 15.7% non-white, and 6.6% Hispanic. Longitudinal latent class analysis revealed a five-class model with distinct patterns and correlates of tobacco use. Limited Use (52.6% of sample) had minimal use. College-Limited Combustible Tobacco Users (18.6%) had moderate probability of cigarette, cigar, and waterpipe smoking, which decreased to no use post-college. Intermittent Sustained Polytobacco Users (10.9%) had low probability of use that continued post-college. College Polytobacco with Continued Cigarette and E-Cigarette Users (14.5%) had high probability of use of cigarette smoking and increasing probability of e-cigarette, both of which continued post-college. Sustained Polytobacco Users (5.7%) had moderate probability of use of tobacco products across all waves. CONCLUSIONS: Patterns of tobacco use varied considerably. In most classes, tobacco use was highest during freshman year and in three classes, use continued post-college. Prevention activities should focus on first-year students and target those at risk for post-college tobacco use.

Utility of the group medical visit model for medication-assisted therapy.

OBJECTIVE: To describe a group medical visit (GMV) model to facilitate medication assisted therapy. DESIGN: Retrospective cohort analysis. PARTICIPANTS: Adult patients over 18 years of age desiring to receive medication assisted therapy (MAT). METHODS: We describe the MAT GMV model including the clinical flow and group facilitation processes. The key elements for documentation and the medical portion of the visit are discussed. Using descriptive methods, we report the characteristics of our patient population entailing demographics, co-occurring mental health diagnosis, and medication use. RESULTS: A total of 32 patients have participated in our MAT GMV over the past 2 years with nine active patients. Age range of participants is 20-65, with about half of them between 31 and 54; race and ethnicity have been primarily White (87 percent) with equal distribution of male and female patients. Most patients had one or more co-occurring mental health disorder. The majority of patients had a prescription of buprenorphine-naloxone 8-2 mg twice a day (62 percent). Many of our patients had repeated co-occurring illegal substance use on urine testing resulting in program dismissal. CONCLUSIONS: MAT GMV is a straightforward and innovative way to deliver care to patients affected by opioid use disorder who are in a maintenance state. One of the biggest obstacles to successful participation in this program is repeated co-occurring illegal substance use. When remission is achieved via MAT GMV, provider efficiency is also increased and patients accomplish a sense of wellbeing via therapy, self-management, and medication assistance.

Decreases in smoking and vaping during COVID-19 stay-at-home orders among a cohort of young adults in the United States.

In Spring 2020, most US states and territories implemented stay-at-home orders to slow transmission of the novel coronavirus SARS-CoV2, the cause of COVID-19. Little is known about the impact of stay-at-home orders on tobacco and nicotine use including among young adults. The current study examined participants (N = 1727) completing three recent survey waves from a longitudinal cohort of young adults recruited in 2010 from North Carolina and Virginia, USA: Wave 13 (Spring 2019), Wave 14 (Fall 2019), and Wave 15 (Spring 2020) to assess changes in cigarette and e-cigarette use. We conducted logistic regression analyses to compare the odds that participants reported smoking or vaping in Wave 14 relative to Wave 13 to establish if there was a trend of use pre-pandemic. Then, we conducted logistic regression analyses to compare the odds that participants reported smoking or vaping in Wave 15 relative to Wave 14 to determine the impact of COVID-19 stay-at-home orders. When comparing the odds of reporting tobacco use at Wave 14 to Wave 13, no differences emerged (p > 0.05). However, when comparing tobacco use at Wave 15 to Wave 14, participants had 40% lower odds of reporting past 30-day cigarette use (p = 0.02) and 50% lower odds of reporting past 30-day e-cigarette use (p < 0.01). The current study provides initial evidence that young adults may have reduced their tobacco and nicotine use during the stay-at-home orders. However, more work is needed to determine the long-term impact of the COVID-19 pandemic on tobacco use and cessation in this population.

The correlation between food insecurity and infant mortality in North Carolina.

OBJECTIVE: Food insecurity (FI) affects approximately 11·1 % of US households and is related to worsened infant outcomes. Evidence in lower income countries links FI and infant mortality rates (IMR), but there are limited data in the USA. This study examines the relationship between FI and IMR in North Carolina (NC). DESIGN: NC county-level health data were used from the 2019 Robert Woods Johnson Foundation County Health Rankings. The dependent variable was county-level IMR. Eighteen county-level independent variables were selected and a multivariable linear regression was performed. The independent variable, FI, was based on the United States Department of Agriculture's Food Security Supplement to the Current Population Survey. SETTING: NC counties. PARTICIPANTS: Residents of NC, county-level data. RESULTS: The mean NC county-level IMR was 7·9 per 1000 live births compared with 5·8 nationally. The average percentage of county population reporting FI was 15·4 % in the state v. 11·8 % nationally. Three variables statistically significantly predicted county IMR: percent of county population reporting FI; county population and percent population with diabetes (P values, respectively, < 0·04; < 0·05; < 0·03). These variables explained 42·4 % of the variance of county-level IMR. With the largest standardised coefficient (0·247), FI was the strongest predictor of IMR. CONCLUSIONS: FI, low birth weight and diabetes are positively correlated with infant mortality. While correlation is not causation, addressing FI as part of multifaceted social determinants of health might improve county-level IMR in NC.

Opioid Use Disorder and Assessment of Patient Interactions Among Family Medicine Residents, Medical Students, and Physician Assistant Students.

Introduction: In light of the opioid overdose epidemic in the US and the necessity of developing training to conduct difficult conversations around opioid dependence, three case-based videos were created to demonstrate providers using motivational interviewing (MI) with patients who have opioid use disorder (OUD). These vignettes displayed a primary care provider interacting with a patient seeking opioids. Methods: Learners-including third-year medical and physician assistant (PA) students, and family medicine residents-viewed three videos set in a family medicine clinic and assessed clinician use of MI when interacting with patients with OUD. The patients were at different levels of acknowledging their need to change their opioid use behaviors and/or pursue treatment. Learners rated each video with an MI rating scale, and a facilitator debriefed strengths, weaknesses, and omissions regarding MI. Results: Medical and PA students, and resident family physicians provided 572 ratings. Analysis of variance of mean percent incorrect was lower in residents than in all groups combined, but failed to reach statistical significance (47% + 12.0 vs 53% + 15.0, p = .43). Discussion: These case-based videos with MI ratings afforded students and residents the opportunity to assess clinician use of MI techniques with patients with OUD. The MI rating scale had clinical significance (residents scored +5 points and had more training) despite lacking statistical significance. These scenarios allowed learners to recognize how to use MI when having a difficult conversation with patients who misuse opioids. We envision individual use or use for group discussion.

Are Waterpipe Café, Vape Shop, and Traditional Tobacco Retailer Locations Associated with Community Composition and Young Adult Tobacco Use in North Carolina and Virginia?

PURPOSE: We examined whether waterpipe café, vape shop, and traditional tobacco retailer (e.g. stores selling cigarettes, cigars, smokeless tobacco) locations were associated with census tract composition and tobacco use among young adults in North Carolina and Virginia. Methods: We identified waterpipe cafés, vape shops, and traditional tobacco retailers in North Carolina and Virginia and conducted multivariable analyses between community characteristics (gender, race, ethnicity, education, college enrollment, and poverty) and density per 1000 population. Using fall 2017 data from 1099 young adults residing in North Carolina and Virginia, we conducted logistic regression analyses to determine whether tobacco retailer density and proximity were associated with tobacco use. Results: Waterpipe café, vape shop, and traditional retailer density were higher in communities with more people who were Hispanic, college-educated, and college-enrolled (each p < .05). Waterpipe café and traditional retailer density were higher in communities with more people living below the poverty level (each p < .05). Waterpipe café density was higher in communities with more people who were male (p < .05), while traditional retailer density was lower (p < .05). Waterpipe café and vape shop proximity were associated with increased likelihood of waterpipe tobacco use in the past 6 months (each p < .05; unadjusted). Traditional retailer proximity and waterpipe café, vape shop, and traditional retailer density were not associated with tobacco use. Conclusions: Waterpipe cafés and vape shops are located in both impoverished and college-educated communities in North Carolina and Virginia, similar to where traditional tobacco retailers are located. Further research is needed to examine associations with tobacco use.

Launching a Medication-Assisted Treatment in an Outpatient Office-Based Practice.

Background: Opioid use and overdose are escalating in the United States. Primary care providers are in a strategic position to assess patients for medication-assisted treatment (MAT). Objectives: To describe the implementation of MAT in an integrated primary care residency clinic and assess provider comfort levels with evaluating patients for high-risk opioid use, conduct crucial conversations about MAT treatment options and referral to MAT for evaluation and treatment. Methods: As part of a Primary Care Training and Enhancement grant through Health Resources and Services Administration, we used an implementation process to allow for optimal clinic flow. The process included assessment of patient populations, identifying a provider champion, organizing multidisciplinary team, engaging a practice facilitator, designing clinic model and infrastructure, creating the electronic health record order sets along with provider and staff training. Providers responded to brief questions to evaluate comfort levels in 3 domains: identifying high-risk opioid use, conducting crucial conversations about treatment options and referral to MAT for evaluation and treatment. Discussion: Incorporating MAT within an integrated primary care clinic and residency program with waiver training for residents was a successful and innovative program. The availability of MAT provided a solution for patients that could benefit from this type of treatment. MAT presence gave providers the opportunity to refer these patients for treatment that had not previously been as accessible. Conclusion: An integrated primary care practice with an embedded MAT can be successful with an organized structure to optimize clinic flow.

Effect of a Digital Health Intervention on Decreasing Barriers and Increasing Facilitators for Colorectal Cancer Screening in Vulnerable Patients.

BACKGROUND: Colorectal cancer is the second leading cause of cancer-related death in the United States, in part, because one third of Americans fail to get screened. In a prior randomized controlled trial, we found that an iPad patient decision aid called Mobile Patient Technology for Health-CRC (mPATH-CRC) doubled the proportion of patients who completed colorectal cancer screening. METHODS: All data for the current analysis were collected as part of a randomized controlled trial to determine the impact of mPATH-CRC on receipt of colorectal cancer screening within 24 weeks. Participants were enrolled from six community-based primary care practices between June 2014 and May 2016 and randomized to either usual care or mPATH-CRC. Six potential mediators of the intervention effect on screening were considered. The Iacobucci method was used to assess the significance of the mediation. RESULTS: A total of 408 patients had complete data for all potential mediators. Overall, the potential mediators accounted for approximately three fourths (76.3%) of the effect of the program on screening completion. Perceived benefits, self-efficacy, ability to state a screening decision, and patient-provider discussion were statistically significant mediators. Patient-provider discussion accounted for the largest proportion of the effect of mPATH-CRC (70.7%). CONCLUSIONS: mPATH-CRC increased completion of colorectal cancer screening by affecting patient-level and system-level mediators. However, the most powerful mediator was the occurrence of a patient-provider discussion about screening. Digital interventions like mPATH-CRC are an important adjunct to the patient-provider encounter. IMPACT: Understanding the factors that mediated mPATH-CRC's success is paramount to developing other effective interventions.

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.

Group Medical Visits: experiences with patient and resident implementation.

Objective: Patients with diabetes must navigate multiple components of care to self-manage their disease. Group Medical Visits (GMVs) are a forum for patients to see a provider as well as actively participate in education and care management with other patients with diabetes. The objective is to describe GMV implementation and resident involvement in a primary care setting.Methods: We adapted and implemented a GMV model into a primary care practice with a residency program. Residents attend GMV sessions that provide a continuity experience in addition to their regular clinic schedules. A cohort of patients enroll in a series of eight GMVs occurring over of 4 months. Each patient and resident complete surveys evaluating the visits.Results: There have been 14 GMV groups totaling 70 participants. GMV groups (N = 67) mean A1C for reduction was 0.53 ± 1.60 from baseline to 3- to 6-month post-GMV follow-up. Resident and patient feedback show an overall positive experience.Conclusion: The GMV model offers patients the setting to interact and exchange experiences with each other as well as to receive feedback from providers and the health-care team.  The incorporation of the GMV program into residency training provides a continuity group care experience and an alternative practice model.

Correlates of Alcohol Mixed with Energy Drink Use Among First Year College Students: Clinical and Research Implications.

Background: Alcohol mixed with energy drink (AmED) use among college students is associated with specific adverse effects (e.g., sexual assault, driving while intoxicated). This study offered the opportunity to evaluate correlates of past year AmED use in a large sample of college students. Methods: In autumn 2010, emails were sent to all first year students (n = 29,536) at 11 colleges and universities in North Carolina and Virginia, inviting them to participate in a brief web-based survey to be used to establish a cohort for the parent tobacco use study; 10,340 (35%) students responded to the web-based survey, which elicited items on demographics, past year use of AmED, and other health behaviors. Results: Past year of AmED was reported by 29.4% of students. Logistic regression analysis revealed that female gender (adjusted odds ratios [AOR] = 1.28, 95% confidence interval [CI] = 1.16-1.42); ever use of smokeless tobacco (AOR = 3.51, 95% CI = 3.00-4.10); current smoking (AOR = 4.97, 95% CI = 4.34-5.69); 2 or fewer days of physical activity per week (AOR = 1.16, 95% CI = 1.04-1.28); and 7 or 8 hours of sleep per day (AOR = 1.12, 95% CI = 1.02-1.24) predicted risk of past year use of AmED. Conclusions: Nearly a third of first year college students reported past year use of AmED. Our finding of increased past year use of AmED use among women is new and might reflect the changing epidemiology of female college alcohol use. Of additional concern, such use might also reflect targeted marketing to women by the energy drink industry. Findings can guide future research as well as substance counseling to college students.

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.