A Modified Implementation Mapping Methodology for Evaluating and Learning From Existing Implementation

Datos Bibliográficos

ID22083920
AutoresMarie-Thérèse Schultes (0000-0002-1593-3247, University of Zurich, autor de correspondencia), Bianca Albers (0000-0001-9555-0547, University of Zurich), Laura Caci (University of Zurich), Emanuela Nyantakyi (0000-0002-7740-7680, University of Zurich), Lauren Clack (0000-0002-5162-5188, University of Zurich)
Año2022
Volumen10
Páginas836552-836552
Fecha de publicación2022-03-23
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.836552
PMID35400053
OpenAlexW4220783385
IdiomaEN
Citas recibidas1
Referencias citadas24

When empirically supported interventions are implemented in real-world practice settings, the process of how these interventions are implemented is highly relevant for their potential success. Implementation Mapping is a method that provides step-by-step guidance for systematically designing implementation processes that fit the respective intervention and context. It includes needs assessments among relevant stakeholders, the identification of implementation outcomes and determinants, the selection and design of appropriate implementation strategies, the production of implementation protocols and an implementation outcome evaluation. Implementation Mapping is generally conceptualized as a tool to prospectively guide implementation. However, many implementation efforts build on previous or ongoing implementation efforts, i.e., “existing implementation.” Learnings from existing implementation may offer insights critical to the success of further implementation activities. In this article, we present a modified Implementation Mapping methodology to be applied when evaluating existing implementation. We illustrate the methodology using the example of evaluating ongoing organized colorectal cancer screening programs in Switzerland. Through this example, we describe how we identify relevant stakeholders, implementation determinants and outcomes as well as currently employed implementation strategies. Moreover, we describe how we compare the types of strategies that are part of existing implementation efforts with those that implementation science would suggest as being suited to address identified implementation determinants. The results can be used for assessing the current state of implementation outcomes, refining ongoing implementation strategies, and informing future implementation efforts

Data science · Software engineering · Computer Science · Evaluation and Performance Assessment · Health Policy Implementation Science · Mental Health and Patient Involvement