Search

The research-practice gap between evidence-based intervention efficacy and its uptake in real-world contexts remains a central challenge for prevention and implementation science. Providing technical assistance (TA) is considered a crucial support mechanism that can help narrow the gap. However, empirical measurement of TA strategies and their variation is often lacking. The current study unpacks the black box of TA, highlighting different TA strategies, amounts, and their relation to intervention characteristics. First, we qualitatively categorized interactions between TA providers and implementers. Second, we explored how characteristics of implementing organizations and the intervention related to variations in the amount of TA delivered. Using data spanning six years, we analyzed over 10,000 encounters between TA providers and implementers. Content analysis yielded four distinct strategies: Consultation (27.2%), Coordination Logistics (24.5%), Monitoring (16.5%), and Resource Delivery (28.2%). Organizations with prior experience required less monitoring and resource delivery. Additionally, characteristics of the intervention were significantly associated with the amount of consultation, monitoring, coordination logistics, and resource delivery provided. The specific features of the intervention showed significant variation in their relation to TA strategies. These findings provide initial insights into the implications of intervention characteristics in determining how much of which TA strategies are needed to support implementations in real-world settings., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

The Society for Prevention Research (SPR) aims to continually provide relevant professional development training opportunities to advance scientific investigation of ways to improve the health, well-being, and social and educational outcomes of individuals and communities. Our study, led by the Training Needs Assessment Task Force, designed a quantitative questionnaire informed by semistructured, qualitative interviews of 13 key prevention science informants. The questionnaire was deployed to all SPR members, of which 347 completed it. Questions about training topics were asked along 8 categories: (1) theory; (2) preventive interventions; (3) research methods, design, and evaluation; (4) teaching and mentoring; (5) practical and interpersonal skills; (6) communication; (7) project management; and (8) data analysis. Across all categories, respondents reported a high level of interest in receiving training: more than 80% were interested in training in data analytic methods; about 70% indicated interest in theory, preventive interventions, and research methods, design, and evaluation; about 65% were interested in at least 1 communication and project management topic; and 60% showed interest in at least 1 practical and interpersonal skills topic. Training-related interests varied across career level and race/ethnicity, with early-career individuals and people of color typically indicating the most interest. Participants were most likely to endorse self-initiated learning and webinars. SPR preconference training workshops were strongly endorsed for data analysis and preventive intervention topics. Recommendations from our study include a need for SPR to more strongly support self-initiated learning opportunities and continue preconference training programs, with special focuses in statistical methods and preventive interventions and regular assessment of members' training preferences.

The PROSPER model uses a three-tiered community partnership, university researcher, and Cooperative Extension-based technical assistance system to support the delivery of evidence-based interventions in communities. This study examines the trajectory and predictors of the collaborative relationship between technical assistance providers and community teams across the three phases of organization, implementation, and sustainability. Members of 14 PROmoting School-university-community Partnerships to Enhance Resilience (PROSPER) community teams and directors of local agencies rated communities' levels of readiness and adolescent substance use norms. Technical assistance providers rated their collaborative relationship with their teams at 14 occasions across 4.5 years. Results from mixed models show that levels of collaboration were stable until the sustainability phase, when they increased significantly. Team differences in change were significant during the implementation phase. Community readiness predicted levels of the collaborative relationship over time: high community readiness was associated with a high level of collaboration during organization, but a decline in collaboration during implementation. These results provide a more nuanced understanding of the relationship between technical assistance provision and community prevention teams and lead to recommendations to improve dissemination models to achieve a greater public health impact.

Background: Historically, effectiveness of community collaborative prevention efforts has been mixed. Consequently, research has been undertaken to better understand the factors that support their effectiveness; theory and some related empirical research suggests that the provision of technical assistance is one important supporting factor. The current study examines one aspect of technical assistance that may be important in supporting coalition effectiveness, the collaborative relationship between the technical assistance provider and site lead implementer., Methods: Four and one-half years of data were collected from technical assistance providers and prevention team members from the 14 community prevention teams involved in the PROSPER project., Results: Spearman correlation analyses with longitudinal data show that the levels of the collaborative relationship during one phase of collaborative team functioning associated with characteristics of internal team functioning in future phases., Conclusions: Results suggest that community collaborative prevention work should consider the collaborative nature of the technical assistance provider - prevention community team relationship when designing and conducting technical assistance activities, and it may be important to continually assess these dynamics to support high quality implementation., (Copyright © 2015 Elsevier Ltd. All rights reserved.)

The current study examined the impact of the PROSPER delivery system for evidence-based prevention programs on multiple indicators of social capital in a rural and semi-rural community sample. Utilizing a randomized blocked design, 317 individuals in 28 communities across two states were interviewed at three time points over the course of 2.5 years. Bridging, linking, and the public life skills forms of social capital were assessed via community members' and leaders' reports on the perceptions of school functioning and the Cooperative Extension System, collaboration among organizations, communication and collaboration around youth problems, and other measures. Longitudinal mixed model results indicate significant improvements in some aspects of bridging and linking social capital in PROSPER intervention communities. Given the strength of the longitudinal and randomized research design, results advance prevention science by suggesting that community collaborative prevention initiatives can significantly impact community social capital in a rural and semi-rural sample. Future research should further investigate changes in social capital in different contexts and how changes in social capital relate to other intervention effects.

This study examined the longitudinal predictors of quality of functioning of community prevention teams during the "operations" phase of team development. The 14 community teams were involved in a randomized-trial of a university-community partnership project, PROSPER (Spoth et al., Prevention Science, 5(1): 31-39, 2004b), that implements evidence-based interventions intended to support positive youth development and reduce early substance use, as well as other problem behaviors. The study included a multi-informant approach to measurement of constructs, and included data from 137 team members, 59 human service agency directors and school administrators, 16 school principals, and 8 Prevention Coordinators (i.e. technical assistance providers). We examined how community demographics and social capital, team level characteristics, and team member attributes and attitudes are related to local team functioning across an 18-month period. Findings indicate that community demographics (poverty), social capital, team member attitudes towards prevention, and team members' views of the acceptability of teen alcohol use played a substantial role in predicting various indicators of the quality of team functioning 18 months later.

This study examined how participation in a universal family skills-building program may interact with community risks and resources to produce youth outcomes. Prior research has noted community-level variability in risk and protective factors, but thus far no study has examined the role that participation on a community-wide intervention may play in moderating the effects of community risks or resources. The study included 14 communities (seven in Iowa, seven in Pennsylvania) that implemented a family focused evidence-based program as part of the PROSPER project. Community level variables included both risk factors (percent of low income families, the availability of alcohol and tobacco, norms regarding adolescent substance use, incidence of drug-related crimes) and community resources (proactive school leadership, availability of youth-serving organizations, and student involvement in youth activities). The proximal youth and family outcomes included youth perceptions of their parents' management skills, parent-child activities, and family cohesion. Results indicated that the Strengthening Families Program:10-14 may have moderated the impact of the community risks and resources on community-level youth outcomes; risk levels meaningfully associated with community-level change in program participants, though these results varied somewhat by outcome. Generally, higher levels of resources also meaningfully associated with more positive change after participating in the family-focused intervention. These results suggest that the effect of some evidence-based programs may be even stronger in some communities than others; more research in this area is needed. [ABSTRACT FROM AUTHOR]