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Browsing by Author "Petrik, Amanda F."
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Item Clinic Factors Associated With Mailed Fecal Immunochemical Test (FIT) Completion: The Difference-Making Role of Support Staff(Annals of Family Medicine, 2022) Davis, Melinda M.; Schneider, Jennifer L.; Petrik, Amanda F.; Miech, Edward J.; Younger, Brittany; Escaron, Anne L.; Rivelli, Jennifer S.; Thompson, Jamie H.; Nyongesa, Denis; Coronado, Gloria D.; Emergency Medicine, School of MedicinePurpose: Mailed fecal immunochemical test (FIT) programs can facilitate colorectal cancer (CRC) screening. We sought to identify modifiable, clinic-level factors that distinguish primary care clinics with higher vs lower FIT completion rates in response to a centralized mailed FIT program. Methods: We used baseline observational data from 15 clinics within a single urban federally qualified health center participating in a pragmatic trial to optimize a mailed FIT program. Clinic-level data included interviews with leadership using a guide informed by the Consolidated Framework for Implementation Research (CFIR) and FIT completion rates. We used template analysis to identify explanatory factors and configurational comparative methods to identify specific combinations of clinic-level conditions that uniquely distinguished clinics with higher and lower FIT completion rates. Results: We interviewed 39 clinic leaders and identified 58 potential explanatory factors representing clinic workflows and the CFIR inner setting domain. Clinic-level FIT completion rates ranged from 30% to 56%. The configurational model for clinics with higher rates (≥37%) featured any 1 of the following 3 factors related to support staff: (1) adding back- or front-office staff in past 12 months, (2) having staff help patients resolve barriers to CRC screening, and (3) having staff hand out FITs/educate patients. The model for clinics with lower rates involved the combined absence of these same 3 factors. Conclusions: Three factors related to support staff differentiated clinics with higher and lower FIT completion rates. Adding nonphysician support staff and having those staff provide enabling services might help clinics optimize mailed FIT screening programs.Item What's the "secret sauce"? How implementation variation affects the success of colorectal cancer screening outreach(Springer Nature, 2021-01-11) Coury, Jennifer; Miech, Edward J.; Styer, Patricia; Petrik, Amanda F.; Coates, Kelly E.; Green, Beverly B.; Baldwin, Laura-Mae; Shapiro, Jean A.; Coronado, Gloria D.; Emergency Medicine, School of MedicineBackground: Mailed fecal immunochemical testing (FIT) programs can improve colorectal cancer (CRC) screening rates, but health systems vary how they implement (i.e., adapt) these programs for their organizations. A health insurance plan implemented a mailed FIT program (named BeneFIT), and participating health systems could adapt the program. This multi-method study explored which program adaptations might have resulted in higher screening rates. Methods: First, we conducted a descriptive analysis of CRC screening rates by key health system characteristics and program adaptations. Second, we generated an overall model by fitting a weighted regression line to our data. Third, we applied Configurational Comparative Methods (CCMs) to determine how combinations of conditions were linked to higher screening rates. The main outcome measure was CRC screening rates. Results: Seventeen health systems took part in at least 1 year of BeneFIT. The overall screening completion rate was 20% (4-28%) in year 1 and 25% (12-35%) in year 2 of the program. Health systems that used two or more adaptations had higher screening rates, and no single adaptation clearly led to higher screening rates. In year 1, small systems, with just one clinic, that used phone reminders (n = 2) met the implementation success threshold (≥ 19% screening rate) while systems with > 1 clinic were successful when offering a patient incentive (n = 4), scrubbing mailing lists (n = 4), or allowing mailed FIT returns with no other adaptations (n = 1). In year 2, larger systems with 2-4 clinics were successful with a phone reminder (n = 4) or a patient incentive (n = 3). Of the 10 systems that implemented BeneFIT in both years, seven improved their CRC screening rates in year 2. Conclusions: Health systems can choose among many adaptations and successfully implement a health plan's mailed FIT program. Different combinations of adaptations led to success with health system size emerging as an important contextual factor.