Despite a large number of evidence-based health communication interventions tested in private, public, and community health settings, there is a dearth of research on successful secondary dissemination of these interventions to other audiences. This article presents the case study of “1-2-3 Pap,” a health communication intervention to improve human papillomavirus (HPV) vaccination uptake and Pap testing outcomes in Eastern Kentucky, and explores strategies used to disseminate this intervention to other populations in Kentucky, North Carolina, and West Virginia. Through this dissemination project, we identified several health communication intervention design considerations that facilitated our successful dissemination to these other audiences; these intervention design considerations include (a) developing strategies for reaching other potential audiences, (b) identifying intervention message adaptations that might be needed, and (c) determining the most appropriate means or channels by which to reach these potential future audiences. Using “1-2-3 Pap” as an illustrative case study, we describe how careful planning and partnership development early in the intervention development process can improve the potential success of enhancing the reach and effectiveness of an intervention to other audiences beyond the audience for whom the intervention messages were originally designed.

Both the focus groups and surveys demonstrated that families of children with special needs are under very significant stress. Pediatricians must become better equipped to identify and communicate more proactively with families of CYSHCN that are experiencing significant parent burden. Pediatricians and their staff also need to improve their knowledge of community resources and proactively make referrals to community services needed by families of CYSHCN.

With real-world relevance and translatability as important goals, applied methodological approaches have arisen along the participatory continuum that value context and empower stakeholders to partner actively with academics throughout the research process. Community-based participatory research (CBPR) provides the gold standard for equitable, partnered research in traditional communities. Practice-based research networks (PBRNs) also have developed, coalescing communities of practice and of academics to identify, study, and answer practice-relevant questions. To optimize PBRN potential for expanding scientific knowledge, while bridging divides across knowledge production, dissemination, and implementation, we elucidate how PBRN partnerships can be strengthened by applying CBPR principles to build and maintain research collaboratives that empower practice partners. Examining the applicability of CBPR partnership principles to public health (PH) PBRNs, we conclude that PH-PBRNs can serve as authentic, sustainable CBPR partnerships, ensuring the co-production of new knowledge, while also improving and expanding the implementation and impact of research findings in real-world settings.Keywords practice-based research networks (PBRN), community-based participatory research (CBPR), academic-practice partnerships, communities of practice, knowledge co-production

BackgroundThe association between farmers’ market characteristics and consumer shopping habits remains unclear. Our objective was to examine associations among distance to farmers’ markets, amenities within farmers’ markets, frequency of farmers’ market shopping, fruit and vegetable consumption, and body mass index (BMI). We hypothesized that the relationship between frequency of farmers’ market shopping and BMI would be mediated by fruit and vegetable consumption.MethodsIn 15 farmers’ markets in northeastern North Carolina, July–September 2015, we conducted a cross-sectional survey among 263 farmers’ market customers (199 provided complete address data) and conducted farmers’ market audits. To participate, customers had to be over 18 years of age, and English speaking. Dependent variables included farmers’ market shopping frequency, fruit and vegetable consumption, and BMI. Analysis of variance, adjusted multinomial logistic regression, Poisson regression, and linear regression models, adjusted for age, race, sex, and education, were used to examine associations between distance to farmers’ markets, amenities within farmers’ markets, frequency of farmers’ market shopping, fruit and vegetable consumption, and BMI.ResultsThose who reported shopping at farmers’ markets a few times per year or less reported consuming 4.4 (standard deviation = 1.7) daily servings of fruits and vegetables, and those who reported shopping 2 or more times per week reported consuming 5.5 (2.2) daily servings. There was no association between farmers’ market amenities, and shopping frequency or fruit and vegetable consumption. Those who shopped 2 or more times per week had a statistically significantly lower BMI than those who shopped less frequently. There was no evidence of mediation of the relationship between frequency of shopping and BMI by fruit and vegetable consumption.ConclusionsMore work should be done to understand factors within farmers’ markets that encourage fruit and vegetable purchases.