Coincidence analysis: a new method for causal inference in implementation science.

ABSTRACT:

Background

Implementation of multifaceted interventions typically involves many diverse elements working together in interrelated ways, including intervention components, implementation strategies, and features of local context. Given this real-world complexity, implementation researchers may be interested in a new mathematical, cross-case method called Coincidence Analysis (CNA) that has been designed explicitly to support causal inference, answer research questions about combinations of conditions that are minimally necessary or sufficient for an outcome, and identify the possible presence of multiple causal paths to an outcome. CNA can be applied as a standalone method or in conjunction with other approaches and can reveal new empirical findings related to implementation that mi

SUBMITTER: Whitaker RG 

PROVIDER: S-EPMC7730775 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature