Evidence-based Kernels: Fundamental Units of Behavioral Influence

This paper describes evidence-based kernels, fundamental units of behavioral influence that appear to underlie effective prevention and treatment for children, adults, and families. A kernel is a behavior–influence procedure shown through experimental analysis to affect a specific behavior and that is indivisible in the sense that removing any of its components would render it inert. Existing evidence shows that a variety of kernels can influence behavior in context, and some evidence suggests that frequent use or sufficient use of some kernels may produce longer lasting behavioral shifts. The analysis of kernels could contribute to an empirically based theory of behavioral influence, augment existing prevention or treatment efforts, facilitate the dissemination of effective prevention and treatment practices, clarify the active ingredients in existing interventions, and contribute to efficiently developing interventions that are more effective. Kernels involve one or more of the following mechanisms of behavior influence: reinforcement, altering antecedents, changing verbal relational responding, or changing physiological states directly. The paper describes 52 of these kernels, and details practical, theoretical, and research implications, including calling for a national database of kernels that influence human behavior

Attachment anxiety and avoidance and perceptions of group climate: An actor-partner interdependence analysis

There is a lack of research examining group members’ attachment styles and group climate perceptions in the context of the attachment styles and group climate perceptions of the other group members. In the current study, the actor–partner interdependence model (APIM) was used to examine the relationships among (a) a group member’s attachment pattern, (b) the aggregated attachment patterns of the other group members, (c) a group member’s perceptions of the group’s climate, and (d) the aggregated group climate perceptions of the other group members. One hundred ten Italian graduate students in six 10-session interpersonal growth groups were studied. Group members filled out the Attachment Style Questionnaire prior to group participation and the Group Climate Questionnaire after the 3rd group session. Contrary to the hypotheses, a group member’s attachment pattern (anxiety and avoidance) was unrelated to her or his perceptions of group climate, and only group member attachment anxiety was positively related to the other group members’ perceptions of conflict in the group’s climate. There was, however, strong support for the hypotheses involving the aggregate attachment of the other group members and group climate perceptions. As hypothesized, aggregated perceptions of attachment anxiety and avoidance were positively related to a member’s perception of group conflict and aggregated perceptions of attachment anxiety and avoidance were negatively related to a member’s perception of group engagement. Both aggregated attachment anxiety and avoidance were related in the expected directions to aggregated perception of group climate. Finally, as hypothesized, a group member’s perception of group climate was positively related to the aggregated climate perceptions of the other group members. The findings suggest that the APIM is a useful approach for examining group process variables in the group counseling context

JMIR Mental Health / Patients' Experiences of Web- and Mobile-Assisted Group Therapy for Depression and Implications of the Group Setting : Qualitative Follow-Up Study

BACKGROUND: Blended group therapy combines group sessions with Web- and mobile-based treatment modules. Consequently, blended group therapy widens the choice within blended interventions at reasonable costs. This is the first qualitative study on blended group therapy. OBJECTIVE: The objective of this study was to investigate the patient-centered feasibility of blended group therapy for major depression, with special emphasis on the fit and dynamic interplay between face-to-face and internet-based elements. METHODS: A total of 22 patients who had a variety of experiences through participating in one of the two blended group therapy interventions were interviewed following a semistructured interview guide. In-depth interviews were analyzed by three trained psychologists, using thematic analysis and a rule-guided internet-based program (QCAmap). The transcript of the interviews (113,555 words) was reduced to 1081 coded units, with subsequent extraction of 16 themes. RESULTS: Web- and mobile-based elements were described as a treatment facilitator and motivator, increasing the salience and consolidation of cognitive behavioral therapy materials, resulting in in- and inter-session alignment to the treatment. Additionally, patients valued the option of intimate Web-based self-disclosure (by lateral patient-therapist communication), and therapists were provided with tools for between-session monitoring and reinforcement of exercising. In this context, group phenomena seemed to back up therapists' efforts to increase treatment engagement. The dissonance because of noncompliance with Web-based tasks and the constriction of in-session group interaction were considered as possible negative effects. Finally, issues of tailoring and structure seemed to fulfill different preconditions compared with individual therapy. CONCLUSIONS: Blended group therapy constitutes a structured and proactive approach to work with depression, and the integration of both modalities initiates a beneficial interplay. Results support the patient-centered value of blended group therapy and provide the first insight into blended group therapy's role in fostering therapeutic treatment factors. However, potential negative effects should be considered carefully.(VLID)286341