Unpacking Prevention Capacity: An Intersection of Research-to-practice Models and Community-centered Models

Capacity is a complex construct that lacks definitional clarity. Little has been done to define capacity, explicate components of capacity, or explore the development of capacity in prevention. This article represents an attempt to operationalize capacity and distinguish among types and levels of capacity as they relate to dissemination and implementation through the use of a taxonomy of capacity. The development of the taxonomy was informed by the capacity literature from two divergent models in the field: research-to-practice (RTP) models and community-centered (CC) models. While these models differ in perspective and focus, both emphasize the importance of capacity to the dissemination and sustainability of prevention innovations. Based on the review of the literature, the taxonomy differentiates the concepts of capacity among two dimensions: level (individual, organizational, and community levels) and type (general capacity and innovation-specific capacity). The proposed taxonomy can aid in understanding the concept of capacity and developing methods to support the implementation and sustainability of prevention efforts in novel settings.     

Implementation Matters: A Review of Research on the Influence of Implementation on Program Outcomes and the Factors Affecting Implementation

The first purpose of this review was to assess the impact of implementation on program outcomes, and the second purpose was to identify factors affecting the implementation process. Results from over quantitative 500 studies offered strong empirical support to the conclusion that the level of implementation affects the outcomes obtained in promotion and prevention programs. Findings from 81 additional reports indicate there are at least 23 contextual factors that influence implementation. The implementation process is affected by variables related to communities, providers and innovations, and aspects of the prevention delivery system (i.e., organizational functioning) and the prevention support system (i.e., training and technical assistance). The collection of implementation data is an essential feature of program evaluations, and more information is needed on which and how various factors influence implementation in different community settings.     

Challenges in Supporting Community Implementation of Science-based Programs: A Critical Review of Local Partnerships for Success Plans

This paper provides the opportunity to consider local challenges to implementing science-based programs. Wandersman et al. (American Journal of Community Psychology 2008) define three systems necessary to effectively implement science-based programming. These systems include the Prevention Support System, which is responsible for assisting communities in implementing effective practices; the Prevention Research System, which is responsible for developing and packaging prevention programming; and the Prevention Delivery System, which is responsible for delivering services. The authors conduct a content analysis related to six county level efforts to implement science-based programs in Ohio. These counties are part of a larger Ohio initiative referred to as Partnerships for Success. The authors suggest that local officials are quite skilled at accessing the Prevention Research System and providers at the local level represent an effective service delivery system. The authors contend that the Prevention Support System in these counties is capable of enhancing several functions related to local infrastructure but is deficient in other important elements.     

Population-Wide Parenting Intervention Training: Initial Feasibility

A population-level approach to deliver parenting and family support is a necessary but neglected approach needed to reduce the high prevalence of emotional/behavioral problems in children, decrease inadequate and potentially abusive parenting practices, and to provide improved parenting support to all parents within a specified population. We examined the initial feasibility of a large-scale professional training regimen to prepare existing service providers to implement an evidence-based preventive intervention in the realm of parenting and family support. Data from the U.S. Triple P System Population Trial are used to illustrate how a parenting and family support intervention can be successfully disseminated to a large, multidisciplinary workforce. We discuss lessons learned from this dissemination effort as well as implications for population-based approaches to child and family well-being.     

Blocked goals, persistent action: Implementation intentions engender tenacious goal striving

Research on goal attainment has demonstrated that people are more likely to reach their goals when they form implementation intentions. Three experiments tested whether implementation intentions lead to tenacious goal striving following blockage of an initial attempt to reach the goal. In all three experiments some participants were instructed to form an implementation intention and other participants were not. Subsequently, the initial goal-directed attempt of all participants was unexpectedly blocked. Experiment 1 found that implementation intentions resulted in more attempts to realize one’s goal. Experiment 2 showed that when participants formed an implementation intention their repeated attempt was acted out as intensely as their first, blocked attempt. Experiment 3 found that implementation intentions still allow people to seize an alternative, more onerous means to realize their intention. These results imply that implementation intention conserve self-regulatory strength. After goal blockage, the remaining strength can be used to continue goal-directed action.     

‘Automatic’ evaluation? Strategic effects on affective priming

Two studies examined strategic effects on affective priming. Extending prior research by Klauer and Teige-Mocigemba [Klauer, K. C., & Teige-Mocigemba, S. (2007). Controllability and resource dependence in automatic evaluations. Journal of Experimental Social Psychology, 43, 648-655], the influence of different control strategies on a priming measure of prejudice was assessed. In both studies, a short stimulus onset asynchrony between prime and target (275 ms) was implemented along with considerable time pressure. In Study 1, participants could strategically eliminate priming effects with attitudinal prime categories (Arabs and liked celebrities) represented by several exemplars per category while priming effects for control categories remained intact. In Study 2, two strategies (payoff and faking) were induced to motivate participants to respond particularly fast and accurately to incongruent targets. Both strategies were successful in counteracting the usual priming effects, while leaving priming effects for non-targeted primes intact. We consider the role of so-called implementation intentions in accounting for the present findings.     

Using Mental Imagery to Enhance the Effectiveness of Implementation Intentions

Past research shows that forming implementation intentions increases the probability of carrying out goals. The present research proposes that mental imagery can strengthen the effects of implementation intentions on goal achievement. Participants were assigned a mundane goal and were randomly assigned to one of two conditions: implementation intentions only or implementation intentions plus mental imagery. Results support the hypothesis that using mental imagery when forming implementation intentions leads to higher rates of goal achievement.     

Implementation of outpatient schema therapy for borderline personality disorder with versus without crisis support by the therapist outside office hours: A randomized trial

Objective

This study aimed to evaluate the success of implementing outpatient schema focused therapy (ST) for borderline patients in regular mental healthcare and to determine the added value of therapist telephone availability outside office hours in case of crisis (TTA).

Methods

To enhance the implementation, the following adaptations regarding the original ST protocol were applied: a reduction in the frequency and duration of the therapy; training therapists of eight regular healthcare centers in ST with a structured and piloted program supported by a set of films (DVDs) with examples of ST techniques; training and supervision given by Dutch experts. Telephone availability outside office hours was randomly allocated to 50% of the therapists of each treatment center. Patient's outcome measures were assessed with a semi-structured interview and self-report measures on BPD, quality of life, general psychopathology and an ST questionnaire, before, during and after treatment.

Results

Data on 62 DSM-IV defined BPD patients were available. Intention-to-treat analyses showed that after 1.5 years of ST 42% of the patients had recovered from BPD.No added value of therapist telephone availability (TTA) was found on the BPDSI score nor on any other measure after 1.5 years of ST.

Conclusions

ST for BPD can be successfully implemented in regular mental healthcare. Treatment results and dropout were comparable to a previous clinical trail. No additional effect of extra crisis support with TTA outside office hours ST was found.     

Seeing power in action: The roles of deliberation, implementation, and action in inferences of power

Six experiments investigate the hypothesis that social targets who display a greater action orientation are perceived as having more power (i.e., more control, less dependence, and more influence) than less action-oriented targets. I find evidence that this inference pattern is based on the pervasive belief that individuals with more power experience less constraint and have a greater capacity to act according to their own volition. Observers infer that targets have more power and influence when they exhibit more implementation than deliberation in the process of making decisions in their personal lives (Study 1a), in a public policy context (Study 1b), and in small groups (Study 2). In an organizational context, observers infer that a target who votes for a policy to change from the status quo has more power than a target who votes not to change from the status quo (Study 3). People also infer greater intra-organizational power and higher hierarchical rank in targets who take physical action toward a personal goal than in those who do not (Studies 4-5).