Faculty, Staff and Student Publications

Publication Date

2-16-2022

Journal

Translational Behavioral Medicine

Abstract

Implementation of evidence-based interventions (EBIs) can help to increase colorectal cancer screening (CRCS). Potential users of CRCS EBIs are often unclear about the specific features, logic, and core elements of existing EBIs, making it challenging to use or adapt them. We used EBI Mapping, a systematic process developed from Intervention Mapping that identifies an EBI's components and logic, to characterize existing CRCS EBIs from the National Cancer Institute's Evidence-Based Cancer Control Programs website. The resulting information can facilitate intervention adoption, adaptation, and/or implementation. Two trained coders independently coded intervention materials to describe intervention components and logic (n = 20). We display CRCS EBI components (potential mechanism of change) using evidence tables and heat maps. All EBIs addressed completion of at least one CRCS behavior (stool-based test, n = 9; stool-based test or another CRCS test, n = 8; colonoscopy, n = 3; colonoscopy or sigmoidoscopy, n = 1). The psychosocial determinants most frequently addressed by these interventions were knowledge (n = 19), attitudes (n = 17), risk perception/perceived susceptibility (n = 16), skills (n = 15), and overcoming barriers (n = 15). Multi-level EBIs (n = 9) attempted to change an average of 2.1 ± 1.1 conditions in the patients' environment (e.g., accessibility of CRCS); only four EBIs used environmental change agents (e.g., providers, nurses). From the heat maps of EBIs, we describe common theoretical change methods' (e.g., facilitation) used for addressing determinants (e.g., overcoming barriers). EBI Mapping can help users identify important components of a CRCS EBI's logic; these proposed mechanisms of action can inform adoption, adaptation, and implementation in new settings, and facilitate scale up of EBIs.

Keywords

Colorectal Neoplasms, Early Detection of Cancer, Evidence-Based Medicine, Humans, Logic

DOI

10.1093/tbm/ibab140

PMID

34730181

PMCID

PMC8848996

PubMedCentral® Posted Date

11-3-2021

PubMedCentral® Full Text Version

Post-print

Published Open-Access

yes

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