Sangam: A Confluence of Knowledge Streams

Mixed methods evaluation of implementation and outcomes in a community-based cancer prevention intervention

Show simple item record

dc.contributor Human Nutrition, Foods, and Exercise
dc.creator King, Emily S.
dc.creator Moore, Carla J.
dc.creator Wilson, Hannah K.
dc.creator Harden, Samantha M.
dc.creator Davis, Marsha
dc.creator Berg, Alison C.
dc.date 2019-08-12T14:13:06Z
dc.date 2019-08-12T14:13:06Z
dc.date 2019-08-05
dc.date 2019-08-11T03:21:08Z
dc.date.accessioned 2023-03-01T18:51:34Z
dc.date.available 2023-03-01T18:51:34Z
dc.identifier BMC Public Health. 2019 Aug 05;19(1):1051
dc.identifier http://hdl.handle.net/10919/93025
dc.identifier https://doi.org/10.1186/s12889-019-7315-y
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/281524
dc.description Background Community-based educational programs can complement clinical strategies to increase cancer screenings and encourage healthier lifestyles to reduce cancer burden. However, implementation quality can influence program outcomes and is rarely formally evaluated in community settings. This mixed-methods study aimed to characterize implementation of a community-based cancer prevention program using the Consolidated Framework for Implementation Research (CFIR), determine if implementation was related to participant outcomes, and identify barriers and facilitators to implementation that could be addressed. Methods This study utilized quantitative participant evaluation data (n = 115) and quantitative and qualitative data from semi-structured interviews with program instructors (N = 13). At the participant level, demographic data (age, sex, insurance status) and behavior change intention were captured. Instructor data included implementation of program components and program attendance to create a 7-point implementation score of fidelity and reach variables. Degree of program implementation (high and low) was operationalized based on these variables (low: 0–4, high: 5–7). Relationships among degree of implementation, participant demographics, and participant outcomes (e.g., intent to be physically active or limit alcohol) were assessed using linear or ordinal logistic mixed effects models as appropriate. Interview data were transcribed and coded deductively for CFIR constructs, and constructs were then rated for magnitude and valence. Patterns between ratings of high and low implementation programs were used to determine constructs that manifested as barriers or facilitators. Results Program implementation varied with scores ranging from 4 to 7. High implementation was related to greater improvements in intention to be physically active (p <  0.05), achieve a healthy weight (p <  0.05), and limit alcohol (p <  0.01). Eight constructs distinguished between high and low implementation programs. Design quality and packaging, compatibility, external change agents, access to knowledge and information, and experience were facilitators of implementation and formally appointed internal implementation leaders was a barrier to implementation. Conclusions As higher implementation was related to improved participant outcomes, program administrators should emphasize the importance of fidelity in training for program instructors. The CFIR can be used to identify barriers and/or facilitators to implementation in community interventions, but results may be unique from clinical contexts.
dc.description Published version
dc.format application/pdf
dc.format application/pdf
dc.language en
dc.rights Creative Commons Attribution 4.0 International
dc.rights http://creativecommons.org/licenses/by/4.0/
dc.rights The Author(s)
dc.title Mixed methods evaluation of implementation and outcomes in a community-based cancer prevention intervention
dc.title BMC Public Health
dc.type Article - Refereed
dc.type Text


Files in this item

Files Size Format View
12889_2019_Article_7315.pdf 726.2Kb application/pdf View/Open

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse