Considering context: Current relationship satisfaction in a second-generation model of men's physical intimate partner violence.

Despite a half-century of scholarship devoted to explicating and disrupting the intergenerational transmission of family violence, it remains a prominent and destructive social force in the United States. Theoretical models have posited a variety of historical and concurrent risk and protective factors implicated in the trajectory from childhood violence exposure to adult perpetration. Using a second-generation model of intimate partner violence (IPV), we integrated social learning and attachment conceptualizations to examine pathways from family-of-origin violence to IPV perpetration among adult men. A sample of mixed-sex couples (N = 233) completed self-report measures related to social learning and attachment-based factors (e.g., violence in past relationships, child exposure, IPV attitudes, adult attachment) and participated in a 10-min conversation about a desired area for change in their relationship. Following, each partner participated in a video-mediated-recall procedure assessing their anger volatility and eliciting attributions of their partners' behavior. We tested mediation pathways (consistent with social learning and attachment theories) between violence in men's families of origin and their adult IPV perpetration as a function of relationship satisfaction. The proposed model fit the data well (CFI = 0.95) but had notable modifications from the hypothesized model. Generally, social-learning pathways were more consistent with the data. Relationship satisfaction interacted with some parameters. Results support theoretical advances in understanding IPV. Although exposure to violence in men's family of origin confers risk for later IPV, and a social learning developmental pathway is consistent with results, some of these effects are altered by relationship context.

Unlocking What Makes Military Behavioral Health Interventions Work, Stumble, or Fade Away.

INTRODUCTION: The Office of the Secretary of Defense and each of the services have made an unprecedented commitment to the prevention of sexual assault and related behavioral health phenomena. Indeed, the Department of Air Force has selected, in some cases tailored, and disseminated a wide array of evidence-based preventative programs, policies, and practices (EBPs) over the last few decades. However, many of these efforts seem to follow a predictable life course. EBPs are initially implemented with great enthusiasm, supported for a few years, then fall out of favor, and are replaced by a different effort. This research effort aims to build on the existing civilian implementation science research to (1) offer a military-specific model of sustained, high-quality implementation and (2) test this model in a series of interconnected studies. MATERIALS AND METHODS: New York University's Institutional Review Board approved the study protocols, and the Army's Human Research Protection Office provided permission to collect data. We conducted interviews first with prevention leaders in the services and at the Office of the Secretary of Defense level regarding factors that they thought helped or hurt the sustainment of EBPs. We used these interviews to identify EBPs currently implemented in Department of Air Force and selected four EBPs out of the 25 identified for intensive study. We then interviewed implementers of those four EBPs regarding what they thought helped or hurt the sustainment of that EBP. We also gathered information about the 25 currently implemented EBPs themselves and gathered policy and guidance, as well as leadership communication about those EBPs and the target problems they focus on. We coded this information to allow us to test EBP parameters and policy and leader communication that predict sustained high-quality implementation. We conducted over 100 observations of the 4 EBPs we are studying intensively and have collected quantitative data from implementers and participants to help us test factors related to sustained high-quality implementation within each of those 4 EBPs and across the EBPs. RESULTS: Several military-specific factors were nominated for inclusion in the military-specific model of implementation sustainment. The implementation of even highly standardized EBPs varies greatly. Implementers and participants are generally highly engaged, but implementers vary in the extent to which they understand the mechanisms of action for the EBP they are implementing. CONCLUSIONS: We recommend training implementers in the mechanisms of action in the EBPs they are expected to implement and including quality assurance as a component of prevention efforts in a manner more similar to how the military addresses aspects of the operational mission. By moving beyond counting classes and attendance, and specifying how to engage participants in the EBPs in the manner that produces the key outcomes, it is likely that EBPs will have more robust implementations that can be better sustained over time.

Leveraging technology to increase the disseminability of evidence-based treatment of dental fear: An uncontrolled pilot study.

OBJECTIVES: U.S. and global estimates indicate that over 30% of adults fear receiving dental care, including over 20% who have visited a dentist in the last year, leading to avoidance and degraded oral and systemic health. Although evidence-based cognitive-behavioral treatments for dental fear (CBT-DF) exist, they have little impact on the millions who seek dental care annually because they are not disseminable (6 h of in-chair time, delivered only in person at a few sites). We developed a disseminable CBT-DF stepped-care treatment comprising (Step 1) a mobile-health application and, for those who remain fearful, (Step 2) a 1-h, one-on-one psychological treatment session that allows practice during exposure to the patient's most-feared stimuli. We hypothesized that the treatment would (a) be rated highly on usability and credibility and (b) result in clinically consequential (i.e., lowering fear into the 0-3 "no/low fear" zone) and statistically significant changes in global dental fear. METHOD: Racially/ethnically diverse patients (N = 48) with moderate to severe dental fear were recruited; all completed Step 1, and n = 16 completed Step 2. RESULTS: As hypothesized, users found the stepped-care treatment highly usable, credible, and helpful. Critically, this stepped-care approach produced reductions in patients' dental fear that were both clinically consequential (with half no longer fearful) and statistically significant (d = 1.11). CONCLUSIONS: This usable, credible, stepped-care approach to dental fear treatment holds promise for liberating evidence-based CBT-DF from specialty clinics, allowing broad dissemination.

Caseload factors predictive of family abuse and neglect treatment outcomes.

BACKGROUND: In child welfare, caseloads are frequently far higher than optimal. Not all cases are created equal; however, little is known about which combination and interaction of factors make caseloads more challenging and impact child and family outcomes. OBJECTIVE: This study aims to identify which case, provider, and organizational factors most strongly differentiate between families with favorable and less-than-positive treatment outcomes. PARTICIPANTS AND SETTING: Participants were 25 family advocacy program providers and 17 supervisors at 11 Department of the Air Force installations. METHODS: Following informed consent, participants completed demographic and caseload questionnaires, and we collected information about organizational factors. Providers were sent a weekly case update and burnout questionnaire for seven months. We used linear mixed-effects model tree (LMM tree) algorithms to determine the provider, client, and organizational characteristics that best distinguish between favorable vs. unfavorable outcomes. RESULTS: The LMM tree predicting provider-rated treatment success yielded three significant partitioning variables: (a) commander involvement, (b) case complexity, and (c) % of clients in a high-risk field. The LMM predicting client-rated treatment progress yielded seven significant partitioning variables: (a) command involvement; (b) ease of reaching tenant unit command; (c) # of high-risk cases; (d) % of clients receiving Alcohol and Drug Abuse Prevention and Treatment services; (e) ease of reaching command; (f) % of clients with legal involvement; (g) provider age. CONCLUSIONS: This study is a first step toward developing a dynamic caseload management tool. An intelligent, algorithm-informed approach to case assignment could help child welfare agencies operate in their typically resource-scarce contexts in a manner that improves outcomes.