title: Characterizing the EPODE logic model: unravelling the past and informing the future.
abstract: EPODE ('Ensemble Prévenons l'Obésité De Enfants' or 'Together let's Prevent Childhood Obesity') is a large-scale, centrally coordinated, capacity-building approach for communities to implement effective and sustainable strategies to prevent childhood obesity. Since 2004, EPODE has been implemented in over 500 communities in six countries. Although based on emergent practice and scientific knowledge, EPODE, as many community programs, lacks a logic model depicting key elements of the approach. The objective of this study is to gain insight in the dynamics and key elements of EPODE and to represent these in a schematic logic model. EPODE's process manuals and documents were collected and interviews were held with professionals involved in the planning and delivery of EPODE. Retrieved data were coded, themed and placed in a four-level logic model. With input from international experts, this model was scaled down to a concise logic model covering four critical components: political commitment, public and private partnerships, social marketing and evaluation. The EPODE logic model presented here can be used as a reference for future and follow-up research; to support future implementation of EPODE in communities; as a tool in the engagement of stakeholders; and to guide the construction of a locally tailored evaluation plan.
authors.affiliation: Faculty of Earth and Life Sciences, Institute of Health Sciences, VU University Amsterdam, Amsterdam, the Netherlands.
authors.forename: T M
authors.initials: TM
authors.lastname: Van Koperen
authors.forename: S A
authors.initials: SA
authors.lastname: Jebb
authors.forename: C D
authors.initials: CD
authors.lastname: Summerbell
authors.forename: T L S
authors.initials: TL
authors.lastname: Visscher
authors.forename: M
authors.initials: M
authors.lastname: Romon
authors.forename: J M
authors.initials: JM
authors.lastname: Borys
authors.forename: J C
authors.initials: JC
authors.lastname: Seidell
mesh_terms: D000293:Adolescent; D002648:Child; D002669:Child Welfare; D002675:Child, Preschool; D005260:Female; D005544:Forecasting; D006293:Health Promotion / Q000379:methods*; D006801:Humans; D016015:Logistic Models; D008297:Male; D009765:Obesity / Q000453:epidemiology / Q000517:prevention & control*