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Role of an implementation economics analysis in providing the evidence base for increasing colorectal cancer screening
Subramanian, S., Tangka, F. K. L., & Hoover, S. (2020). Role of an implementation economics analysis in providing the evidence base for increasing colorectal cancer screening. Preventing chronic disease, 17, E46. Article 190407. https://doi.org/10.5888/pcd17.190407
PURPOSE AND OBJECTIVES: Since 2005 the Centers for Disease Control and Prevention (CDC) has funded organizations across the United States to promote screening for colorectal cancer (CRC) to detect early CRC or precancerous polyps that can be treated to avoid disease progression and death. The objective of this study was to describe how findings from economic evaluation approaches of a subset of these awardees and their implementation sites (n = 9) can drive decision making and improve program implementation and diffusion.
INTERVENTION APPROACH: We described the framework for the implementation economics evaluation used since 2016 for the Colorectal Cancer Control Program (CRCCP) Learning Collaborative.
EVALUATION METHODS: We compared CRC interventions implemented across health systems, changes in screening uptake, and the incremental cost per person of implementing an intervention. We also analyzed data on how implementation costs changed over time for a CRC program that conducted interventions in a series of rounds.
RESULTS: Implementation of the interventions, which included provider and patient reminders, provider assessment and feedback, and incentives, resulted in increases in screening uptake ranging from 4.9 to 26.7 percentage points. Across the health systems, the incremental cost per person screened ranged from $18.76 to $144.55. One awardee's costs decreased because of a reduction in intervention development and start-up costs.
IMPLICATIONS FOR PUBLIC HEALTH: Health systems, CRCCP awardees, and CDC can use these findings for quality improvement activities, incorporation of information into trainings and support activities, and future program design.