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Background: Colorectal cancer screening by annual fecal immunochemical test (FIT) with follow-up on abnormal results is a cost-effective strategy to reduce colorectal cancer incidence and mortality. Unfortunately, many patients with abnormal results do not complete a follow-up colonoscopy. We tested whether navigation targeted to patients who are unlikely to complete the procedure may improve adherence and long-term outcomes., Methods: Study participants were patients at a large, integrated health system (Kaiser Permanente Northwest) who were ages 50 to 75 and were due for a follow-up colonoscopy after a recent abnormal FIT result. Probability of adherence to follow-up was estimated at baseline using a predictive risk model. Patients whose probability was 70% or lower were randomized to receive patient navigation or usual care, with randomization stratified by probability category (<50%, 50% < 60%, 60% < 65%, 65% ≤ 70%). We compared colonoscopy completion within 6 months between the navigation and usual care groups using Cox proportional hazards regression., Results: Participants ( n = 415; 200 assigned to patient navigation, 215 to usual care) had a mean age of 62 years, 54% were female, and 87% were non-Hispanic white. By 6 months, 76% of the patient navigation group had completed a colonoscopy, compared with 65% of the usual care group (HR = 1.35; 95% confidence interval, 1.07-1.72; log-rank P value = 0.027)., Conclusions: In this randomized trial, patient navigation led to improvements in follow-up colonoscopy adherence., Impact: More research is needed to assess the value of precision-directed navigation programs., (©2021 The Authors; Published by the American Association for Cancer Research.)

Purpose: Colonoscopy can prevent morbidity and mortality from colorectal cancer (CRC) and is the most commonly used screening method in the United States. Barriers to colonoscopy at multiple levels can contribute to disparities. Yet, in rural settings, little is known about who delivers colonoscopy and facilitators and barriers to colonoscopy access through screening completion. Methods: We conducted a qualitative study with providers in rural Oregon who worked in endoscopy centers or primary care clinics. Semistructured interviews, conducted in July and August, 2021, focused on clinician experiences providing colonoscopy to rural Medicaid patients, including workflows, barriers, and access. We used thematic analysis, through immersion crystallization, to analyze interview transcripts and develop emergent themes. Findings: We interviewed 19 providers. We found two categories of colonoscopy providers: primary care providers (PCPs) doing colonoscopy on their own patients (n = 9; 47%) and general surgeons providing colonoscopy to patients referred to their services (n = 10; 53%). Providers described barriers to colonoscopy at the provider, community, and patient levels and suggested patient supports could help overcome them. Providers found current colonoscopy capacity sufficient, but noted PCPs trained to perform colonoscopy would be key to continued accessibility. Finally, providers shared concerns about the shrinking number of PCP endoscopists, especially with anticipated increased screening demand related to the CRC screening guideline shift. Conclusions: These themes reflect opportunities to address multilevel barriers to improve access, colonoscopy capacity, and patient education approaches. Our results highlight that PCPs are an essential part of the workforce that provides colonoscopy in rural areas. [ABSTRACT FROM AUTHOR]

Objectives: Fecal immunochemical testing (FIT) is an effective screening tool for colorectal cancer. If an FIT is abnormal, a follow-up colonoscopy is necessary to remove polyps or find cancers. We sought to develop a usable risk prediction model to identify patients unlikely to complete a colonoscopy following an abnormal FIT test. Methods: We recalibrated and then redeveloped a prediction model in federally qualified health centers (FQHCs), using a retrospective cohort of patients aged 50–75 with an abnormal FIT test and clinical data. Logistic and Cox regressions were used to recalibrate and then redevelop the model. Results: The initial risk model used data from eight FQHCs (26 clinics) including 1723 patients. When we applied the model to a single large FQHC (34 clinics, 884 eligible patients), the model did not recalibrate successfully (c-statistic dropped more than 0.05, from 0.66 to 0.61). The model was redeveloped in the same FQHC in a cohort of 1401 patients with a c-statistic of 0.65. Conclusions: The original model developed in a group of FQHCs did not adequately recalibrate in the single large FQHC. Health system, patient characteristics or data differences may have led to the inability to recalibrate the model. However, the redeveloped model provides an adequate model for the single FQHC. [ABSTRACT FROM AUTHOR]

Abstract: Annual fecal immunochemical testing (FIT) is cost‐effective for colorectal cancer (CRC) screening. However, FIT positivity rates and positive predictive value (PPV) can vary substantially, with false‐positive (FP) results adding to colonoscopy burden without improving cancer detection. Our objective was to describe FIT PPV and the factors associated with FP results among patients undergoing CRC screening. In an ongoing pragmatic clinical trial of mailed‐FIT outreach, clinics delivered one of three FIT brands (InSure, OC‐Micro, and Hemosure). Patients who had a positive FIT result and a follow‐up colonoscopy were included in this analysis (N = 1130). Patients’ demographic and medical histories were abstracted from electronic health records (EHR). Associations with a FP result (ie, a positive FIT result with no evidence of advanced neoplasia during follow‐up colonoscopy) were evaluated for FIT brand and patient factors using mixed‐effects multivariable logistic regression. The mean proportion of FIT‐positive results ranged from 8% in centers using the OC‐Micro test to 21% for Hemosure. PPVs for advanced neoplasia were 0.30 to 0.17, respectively (P for χ2 = 0.08). In multivariable‐adjusted models, use of Hemosure was associated with greater odds of a FP result than OC‐Micro (OR = 2.00, 95% CI: 0.47‐8.56) or InSure (OR = 1.72, 95% CI: 0.44‐6.68). However, only female sex (OR = 1.58, 95% CI: 1.19‐2.10) and history of a colorectal condition (OR = 2.17, 95% CI: 1.13‐4.15) were significantly associated with FP. In conclusion, FIT positivity varied by brand, and FP results differed by patient factors available through the EHR. These results can be used to minimize the frequency of FP results, reducing patient distress and colonoscopy burden. [ABSTRACT FROM AUTHOR]