Frequency of newborn bathing in the first 9 weeks of life and related factors: An observational study in a community-based sample from Meta-LARC.

PURPOSE: Environmental factors such as bathing may play a role in atopic dermatitis (AD) development. This analysis utilized data from the Community Assessment of Skin Care, Allergies, and Eczema (CASCADE) Trial (NCT03409367), a randomized controlled trial of emollient therapy for AD prevention in the general population, to estimate bathing frequency and associated factors within the first 9 weeks of life. METHODS: Data were collected from 909 parent/newborn dyads recruited from 25 pediatric and family medicine clinics from the Meta-network Learning and Research Center (Meta-LARC) practice-based research network (PBRN) consortium in Oregon, North Carolina, Colorado, and Wisconsin for the CASCADE trial. Ordinal logistic regression was used to conduct a cross-sectional analysis of the association between bathing frequency (measured in baths per week) and demographic, medical, and lifestyle information about the infant, their family, and their household. Variables were selected using a backwards-stepwise method and estimates from the reduced model are reported in the text. RESULTS: Moisturizer use (OR = 2.03, 95% CI: 1.54-2.68), Hispanic or Latino ethnicity (OR = 1.97, 95% CI: 1.42-2.72), a parental education level lower than a 4-year college degree (OR = 2.48, 95% CI: 1.70-3.62), living in North Carolina or Wisconsin (compared to Oregon; OR = 2.12 and 1.47, 95% CI: 1.53-2.93 and 1.04-2.08, respectively), and increasing child age (in days; OR = 1.02, 95% CI: 1.01-1.02) were significantly associated with more frequent bathing, while pet ownership (OR = 0.67, 95% CI: 0.52-0.87) was significantly associated with less frequent bathing. CONCLUSIONS: We found significant ethnic, geographic, and socioeconomic variation in bathing frequency before 9 weeks of age that may be of relevance to AD prevention studies.

Data Challenges in Identifying Patients Due for Colorectal Cancer Screening in Rural Clinics.

INTRODUCTION: Colorectal cancer (CRC) incidence and mortality are disproportionately high among rural residents despite the availability of effective screening methods. Outreach activities can improve CRC screening rates but rely on accurate identification of patients due for screening. We report on data challenges in rural clinics and Medicaid health plans in Oregon in identifying patients eligible for CRC screening, in a large project implementing mailed fecal immunochemical tests (FIT) and patient navigation. METHODS: We analyzed data from clinic intake surveys and administrative claims. Clinics were asked to identify total population numbers relevant to CRC screening and follow-up. Health plans also identified enrollees eligible for CRC screening in Spring, 2021. Clinic staff validated patient lists for eligibility using their electronic health records (EHR). RESULTS: EHR features varied across the 29 participating and 28 responding clinics. Among the 28 responding clinics, 21 were able to report their Medicaid population (75%), 19 reported the number of patients aged 50 to 75 (68%) and the number screened for CRC in the last year (68%). Only 8 (29%) were able to report screening details such as number screened by FIT and 9 were able to report on patients with an abnormal FIT or colonoscopy completed after FIT (32%). Health plans had challenges properly identifying where enrollees received care and had missing data for race and ethnicity (range 22 to 34% unknown race, <1% to 24% unknown ethnicity). DISCUSSION: Most participating rural primary care clinics and Medicaid health plans experienced challenges identifying the population due for a CRC screening outreach program. Better EHR functionality and data reporting capabilities could help rural clinics apply population-based strategies and ultimately attenuate disparities in cancer screening and follow-up.

Improving colorectal cancer screening in rural primary care: Preliminary effectiveness and implementation of a collaborative mailed fecal immunochemical test pilot.

BACKGROUND: Mailed fecal immunochemical test (FIT) outreach can improve colorectal cancer (CRC) screening rates. We piloted a collaborative mailed FIT program with health plans and rural clinics to evaluate preliminary effectiveness and refine implementation strategies. METHODS: We conducted a single-arm study using a convergent, parallel mixed-methods design to evaluate the implementation of a collaborative mailed FIT program. Enrollees were identified using health plan claims and confirmed via clinic scrub. The intervention included a vendor-delivered automated phone call (auto-call) prompt, FIT mailing, and reminder auto-call; clinics were encouraged to make live reminder calls. Practice facilitation was the primary implementation strategy. At 12 months post mailing, we assessed the rates of: (1) mailed FIT return and (2) completion of any CRC screening. We took fieldnotes and conducted postintervention key informant interviews to assess implementation outcomes (eg, feasibility, acceptability, and adaptations). RESULTS: One hundred and sixty-nine Medicaid or Medicare enrollees were mailed a FIT. Over the 12-month intervention, 62 participants (37%) completed screening of which 21% completed the mailed FIT (most were returned within 3 months), and 15% screened by other methods (FITs distributed in-clinic, colonoscopy). Enrollee demographics and the reminder call may encourage mailed FIT completion. Program feasibility and acceptability was high and supported by perceived positive benefit, alignment with existing workflows, adequate staffing, and practice facilitation. CONCLUSION: Collaborative health plan-clinic mailed FIT programs are feasible and acceptable for implementation in rural clinics and support CRC screening completion. Studies that pragmatically test collaborative approaches to mailed FIT and patient navigation follow-up after abnormal FIT and support broad scale-up in rural settings are needed.