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Background: Colorectal cancer (CRC) screening can improve health outcomes, but screening rates remain low across the US. Mailed fecal immunochemical tests (FIT) are an effective way to increase CRC screening rates, but is still underutilized. In particular, cost of FIT has not been explored in relation to practice characteristics, FIT selection, and screening outreach approaches.Methods: We administered a cross-sectional survey drawing from prior validated measures to 252 primary care practices to assess characteristics and context that could affect the implementation of direct mail fecal testing programs, including the cost, source of test, and types of FIT used. We analyzed the range of costs for the tests, and identified practice and test procurement factors. We examined the distributions of practice characteristics for FIT use and costs answers using the non-parametric Wilcoxon rank-sum test. We used Pearson's chi-squared test of association and interpreted a low p-value (e.g. < 0.05) as evidence of association between a given practice characteristic and knowing the cost of FIT or fecal occult blood test (FOBT).Results: Among the 84 viable practice survey responses, more than 10 different types of FIT/FOBTs were in use; 76% of practices used one of the five most common FIT types. Only 40 practices (48%) provided information on FIT costs. Thirteen (32%) of these practices received the tests for free while 27 (68%) paid for their tests; median reported cost of a FIT was $3.04, with a range from $0.83 to $6.41 per test. Costs were not statistically significantly different by FIT type. However, practices who received FITs from manufacturer's vendors were more likely to know the cost (p = 0.0002) and, if known, report a higher cost (p = 0.0002).Conclusions: Our findings indicate that most practices without lab or health system supplied FITs are spending more to procure tests. Cost of FIT may impact the willingness of practices to distribute FITs through population outreach strategies, such as mailed FIT. Differences in the ability to obtain FIT tests in a cost-effective manner could have consequences for implementation of outreach programs that address colorectal cancer screening disparities in primary care practices. [ABSTRACT FROM AUTHOR]

Background: The Plan-Do-Study-Act (PDSA) cycle is a commonly used improvement process in health care settings, although its documented use in pragmatic clinical research is rare. A recent pragmatic clinical research study, called the Strategies and Opportunities to STOP Colon Cancer in Priority Populations (STOP CRC), used this process to optimize the research implementation of an automated colon cancer screening outreach program in intervention clinics. We describe the process of using this PDSA approach, the selection of PDSA topics by clinic leaders, and project leaders' reactions to using PDSA in pragmatic research.Methods: STOP CRC is a cluster-randomized pragmatic study that aims to test the effectiveness of a direct-mail fecal immunochemical testing (FIT) program involving eight Federally Qualified Health Centers in Oregon and California. We and a practice improvement specialist trained in the PDSA process delivered structured presentations to leaders of these centers; the presentations addressed how to apply the PDSA process to improve implementation of a mailed outreach program offering colorectal cancer screening through FIT tests. Center leaders submitted PDSA plans and delivered reports via webinar at quarterly meetings of the project's advisory board. Project staff conducted one-on-one, 45-min interviews with project leads from each health center to assess the reaction to and value of the PDSA process in supporting the implementation of STOP CRC.Results: Clinic-selected PDSA activities included refining the intervention staffing model, improving outreach materials, and changing workflow steps. Common benefits of using PDSA cycles in pragmatic research were that it provided a structure for staff to focus on improving the program and it allowed staff to test the change they wanted to see. A commonly reported challenge was measuring the success of the PDSA process with the available electronic medical record tools.Conclusion: Understanding how the PDSA process can be applied to pragmatic trials and the reaction of clinic staff to their use may help clinics integrate evidence-based interventions into their everyday care processes.Trial Registration: Clinicaltrials.gov NCT01742065 . Registered October 31, 2013. [ABSTRACT FROM AUTHOR]

Purpose: Patient navigation is a recommended practice to improve cancer screenings among underserved populations including those residing in rural areas with care access barriers. We report on patient navigation programme adaptations to increase follow‐up colonoscopy rates after abnormal fecal testing in rural primary care practices. Methods: Participating clinics delivered a patient navigation programme to eligible patients from 28 affiliated clinics serving rural communities in Oregon clustered within 3 Medicaid health plans. Patient navigation adaptations were tracked using data sources including patient navigation training programme reflections, qualitative interviews, clinic meetings, and periodic reflections with practice facilitators. Findings: Initial, planned (proactive) adaptations were made to address the rural context; later, unplanned (reactive) adaptations were implemented to address the impact of the COVID‐19 global pandemic. Initial planned adaptations to the patient navigation programme were made before the main trial to address the needs of the rural context, including provider shortages and geographic dispersion limiting both patient access to care and training opportunities for providers. Later unplanned adaptations were made primarily in response to COVID‐19 care suspension and staff redeployments and shortages that occurred during implementation. Conclusion: While unplanned adaptations were implemented to address the contextual impact of the COVID‐19 pandemic on care access patterns and staffing, the changes to training content and context were beneficial to the rural setting overall and should be sustained. Our findings can guide future efforts to optimise the success of such programmes in other rural settings and highlight the important role of adaptations in implementation projects. [ABSTRACT FROM AUTHOR]

BeneFIT is a 4-year observational study of a mailed fecal immunochemical test (FIT) program in 2 Medicaid/Medicare health plans in Oregon and Washington. In Health Plan Oregon's (HPO) collaborative model, HPO mails FITs that enrollees return to their clinics for processing. In Health Plan Washington's (HPW) centralized model, FITs are mailed directly to enrollees who return them to a centralized laboratory. This paper examines model-specific Year 1 development and implementation costs and estimates costs per screened enrollee. Staff completed activity-based costing spreadsheets. Non-labor costs were from study and external data. Data matched each plan's 2016 development and implementation dates. HPO development costs were $23.0K, primarily administration (eg, clinic recruitment). HPW development costs were $37.3K, 38.8% for FIT selection and mailing/tracking protocols. Year 1 implementation costs were $51.6K for HPO and $139.7K for HPW, reflecting HPW's greater outreach. Labor was 50.4% ($26.0K) of HPO's implementation costs, primarily enrollee eligibility and processing returned FITs, and was shared by HPO ($17.0K) and 6 participating clinics ($9.0K). Labor was 10.5% of HPW's implementation costs, primarily administration and enrollee eligibility. HPO's implementation costs per enrollee were 12.3% higher ($18.36) than for HPW ($16.34). Similar proportions of completed FITs among screening-eligibles produced a 15% lower cost per completed FIT in HPW ($89.75) vs. HPO ($105.79). Implementation costs for HPO only (without clinic costs) were $15.16/mailed introductory letter, $16.09/mailed FIT, and $87.35/completed FIT, comparable to HPW. Results highlight cost implications of different approaches to implementing a mailed FIT program in 2 Medicaid/Medicare health plans. [ABSTRACT FROM AUTHOR]

Background: Evidence-based programs such as mailed fecal immunochemical test (FIT) outreach can only affect health outcomes if they can be successfully implemented. However, attempts to implement programs are often limited by organizational-level factors. Objectives: As part of the Strategies and Opportunities to Stop Colon Cancer in Priority Populations (STOP CRC) pragmatic trial, we evaluated how organizational factors impacted the extent to which health centers implemented a mailed FIT outreach program. Design: Eight health centers participated in STOP CRC. The intervention consisted of customized electronic health record tools and clinical staff training to facilitate mailing of an introduction letter, FIT kit, and reminder letter. Health centers had flexibility in how they delivered the program. Main Measures: We categorized the health centers' level of implementation based on the proportion of eligible patients who were mailed a FIT kit, and applied configurational comparative methods to identify combinations of relevant organizational-level and program-level factors that distinguished among high, medium, and low implementing health centers. The factors were categorized according to the Consolidated Framework for Implementation Research model. Key Results: FIT tests were mailed to 21.0–81.7% of eligible participants at each health center. We identified a two-factor solution that distinguished among levels of implementation with 100% consistency and 100% coverage. The factors were having a centralized implementation team (inner setting) and mailing the introduction letter in advance of the FIT kit (intervention characteristics). Health centers with high levels of implementation had the joint presence of both factors. In health centers with medium levels of implementation, only one factor was present. Health centers with low levels of implementation had neither factor present. Conclusions: Full implementation of the STOP CRC intervention relied on a centralized implementation team with dedicated staffing time, and the advance mailing of an introduction letter. Trial Registration: ClinicalTrials.gov Identifier: NCT01742065 Registered 05 December 2012–Prospectively registered [ABSTRACT FROM AUTHOR]

BeneFIT was a demonstration project that worked with a Medicaid/Medicare health plan to implement a mailed fecal immunochemical test (FIT) program. The goal was to reach age-eligible enrollees who were due for colorectal cancer (CRC) screening and prompt them to complete a FIT. One health insurance plan collaborated with six federally qualified health centers (FQHCs) in Oregon. Reach was defined as the percent of eligible individuals overdue for CRC screening who were mailed a FIT in 2016. We examined patient-level factors associated with reach, using multivariable log binomial regression and FIT completion rates at 6 months. The health plan identified 3386 age-eligible members overdue for CRC screening. Of these, 2615 (77.2%) were reached (mailed FIT kits) and 771 (22.8%) were not; 478 (14.1%) because they were not considered to be clinic patients and 290 (8.6%) because of mailing issues. Patient-level factors associated with not being reached were: being male, being Medicaid-insured (vs. Medicare), and having no primary care visits (vs. 4+ visits) in the last year. Among all enrollees identified as overdue for CRC screening, FIT completion rates at 6 months were 14.8% overall and 18.5% in the subgroup reached. In a mailed FIT program, a health insurance plan attempted to reach as many enrollees overdue for CRC screening as possible, however 22.8% were not mailed a FIT. Additional efforts are needed to ensure that the hardest to reach enrollees can participate in CRC screening. [ABSTRACT FROM AUTHOR]

Background: Promoting uptake of evidence-based innovations in healthcare systems requires attention to how innovations are adapted to enhance their fit with a given setting. Little is known about real-world variation in how programs are delivered over time and across multiple populations and contexts, and what motivates adaptations.Methods: As part of the BeneFIT study of mailed fecal immunochemical tests (FIT) to increase colorectal cancer screening, we interviewed 9 leaders from two participating Medicaid/Medicare health insurance plans to examine adaptations to their health plan-initiated mailed FIT outreach programs in the second year of implementation. We applied an adaptation and modification model developed by Stirman and colleagues to document content and context modifications made to the two programs.Results: Both health plans made substantial changes to their programs in the second year; adaptations differed substantially across health plans. In Health Plan Oregon, adaptations generally targeted health centers and member populations, most content adaptations involved tailoring program components, and the program was expanded to four additional health centers. In contrast, Health Plan Washington's second-year content adaptations were primarily at the level of members, and generally involved adding program components. Moreover, Health Plan Washington undertook large-scale context adaptations to the setting where the program was led (local vs. national), the personnel who administered the program (vendor and staffing), and the population selected for outreach (limiting outreach to dual-eligible members).Conclusions: Both programs implemented a variety of adaptations that reflected the values and incentives of the broader health plan contexts. Financial incentives for screening allowed Health Plan Oregon to expand but led Health Plan Washington to offer more targeted outreach to a subset of eligible enrollees. The breadth of changes made by each health system reflects the necessity of evaluating programs in context and adjusting to specific challenges as they are identified. Further research is needed to understand the effects of these types of adaptations on program efficiency and enrollee and health system outcomes. [ABSTRACT FROM AUTHOR]

Background: Colorectal cancer screening uptake is low, particularly among individuals enrolled in Medicaid. To the authors' knowledge, little is known regarding the effectiveness of direct-to-member outreach by Medicaid health insurance plans to raise colorectal cancer screening use, nor how best to deliver such outreach.Methods: BeneFIT is a hybrid implementation-effectiveness study of 2 program models that health plans developed for a mailed fecal immunochemical test (FIT) intervention. The programs differed with regard to whether they used a centralized approach (Health Plan Washington) or collaborated with health centers (Health Plan Oregon). The primary implementation outcome of the current study was the percentage of eligible enrollees to whom the plans delivered each intervention component. The primary effectiveness outcome was the rate of FIT completion within 6 months of mailing of the introductory letter.Results: The health plans identified 12,000 eligible enrollees (8551 in Health Plan Washington and 3449 in Health Plan Oregon). Health Plan Washington mailed an introductory letter and FIT kit to 8551 enrollees (100%) and delivered a reminder call to 839 (10.3% of the 8132 attempted). Health Plan Oregon mailed an introductory letter, and a letter and FIT kit plus a reminder postcard to 2812 enrollees (81.5%) and 2650 enrollees (76.8%), respectively. FIT completion rates were 18.2% (1557 of 8551 enrollees) in Health Plan Washington. In Health Plan Oregon, completion rates were 17.4% (488 of 2812 enrollees) among enrollees who were mailed an introductory letter and 18.3% (484 of 2650 enrollees) among enrollees who also were mailed a FIT kit plus reminder postcard.Conclusions: The implementation of mailed FIT outreach by health plans may be effective and could reach many individuals at risk of developing colorectal cancer. [ABSTRACT FROM AUTHOR]

Objective: Variations in processes for different clinics and health systems can dramatically change the way preventive interventions are implemented. We present a method for documenting these variations using workflow diagrams and demonstrate how understanding workflow aided an electronic health record (EHR) embedded colorectal cancer screening intervention. Materials and Methods: We mapped variation in processes for ordering and documenting fecal testing, current colonoscopy, prior colonoscopies, and pathology results. This work was part of a multi-site cluster-randomized pragmatic trial to test a mailed approach to offering fecal testing at 26 safety net clinics (in eight organizations) in Oregon and Northern California. We created clinic-specific workflow diagrams and then distilled them into consolidated diagrams that captured the variations. Results: Clinics had varied practices for storing and using information about colorectal cancer screening. Developing workflow diagrams of key processes enabled clinics to find optimal ways to send fecal test kits to patients due for screening. The workflows informed the rollout of new EHR tools and identified best practices for data capture. Discussion: Diagramming workflows can have great utility when implementing and refining EHR tools for clinical practice, especially when doing so across multiple clinical sites. The process of developing the workflows uncovered successful practice recommendations and revealed limitations and potential effects of a research intervention. Conclusion: Our method of documenting clinical process variation might inform other EHR-powered, multi-site research and can improve data feedback from EHR systems to clinical caregivers. [ABSTRACT FROM AUTHOR]