Barriers and Potential Solutions to Implementing Evidence-Based PTSD Treatment in Military Treatment Facilities.

INTRODUCTION: Prolonged exposure therapy is an effective treatment for posttraumatic stress disorder that is underutilized in health systems, including the military health system. Organizational barriers to prolonged exposure implementation have been hypothesized but not systematically examined. This multisite project sought to identify barriers to increasing the use of prolonged exposure across eight military treatment facilities and describe potential solutions to addressing these barriers. MATERIALS AND METHODS: As part of a larger project to increase the use of prolonged exposure therapy in the military health system, we conducted a needs assessment at eight military treatment facilities. The needs assessment included analysis of clinic administrative data and a series of stakeholder interviews with behavioral health clinic providers, leadership, and support staff. Key barriers were matched with potential solutions using a rubric developed for this project. Identified facilitators, barriers, and potential solutions were summarized in a collaboratively developed implementation plan for increasing prolonged exposure therapy tailored to each site. RESULTS: There was a greater than anticipated consistency in the barriers reported by the sites, despite variation in the size and type of facility. The identified barriers were grouped into four categories: time-related barriers, provider-related barriers, barriers related to patient education and matching patients to providers, and scheduling-related barriers. Potential solutions to each barrier are described. CONCLUSIONS: The findings highlight the numerous organizational-level barriers to implementing evidence-based psychotherapy in the military health system and offer potential solutions that may be helpful in addressing the barriers.

Case Rates, Treatment Approaches, and Outcomes in Acute Myocardial Infarction During the Coronavirus Disease 2019 Pandemic.

Importance: The coronavirus disease 2019 (COVID-19) pandemic has changed health care delivery worldwide. Although decreases in hospitalization for acute myocardial infarction (AMI) have been reported during the pandemic, the implication for in-hospital outcomes is not well understood. Objective: To define changes in AMI case rates, patient demographics, cardiovascular comorbidities, treatment approaches, and in-hospital outcomes during the pandemic. Design, Setting, and Participants: This cross-sectional study retrospectively analyzed AMI hospitalizations that occurred between December 30, 2018, and May 16, 2020, in 1 of the 49 hospitals in the Providence St Joseph Health system located in 6 states (Alaska, Washington, Montana, Oregon, California, and Texas). The cohort included patients aged 18 years or older who had a principal discharge diagnosis of AMI (ST-segment elevation myocardial infarction [STEMI] or non-ST-segment elevation myocardial infarction [NSTEMI]). Segmented regression analysis was performed to assess changes in weekly case volumes. Cases were grouped into 1 of 3 periods: before COVID-19 (December 30, 2018, to February 22, 2020), early COVID-19 (February 23, 2020, to March 28, 2020), and later COVID-19 (March 29, 2020, to May 16, 2020). In-hospital mortality was risk-adjusted using an observed to expected (O/E) ratio and covariate-adjusted multivariable model. Exposure: Date of hospitalization. Main Outcomes and Measures: The primary outcome was the weekly rate of AMI (STEMI or NSTEMI) hospitalizations. The secondary outcomes were patient characteristics, treatment approaches, and in-hospital outcomes of this patient population. Results: The cohort included 15 244 AMI hospitalizations (of which 4955 were for STEMI [33%] and 10 289 for NSTEMI [67%]) involving 14 724 patients (mean [SD] age of 68 [13] years and 10 019 men [66%]). Beginning February 23, 2020, AMI-associated hospitalizations decreased at a rate of -19.0 (95% CI, -29.0 to -9.0) cases per week for 5 weeks (early COVID-19 period). Thereafter, AMI-associated hospitalizations increased at a rate of +10.5 (95% CI, +4.6 to +16.5) cases per week (later COVID-19 period). No appreciable differences in patient demographics, cardiovascular comorbidities, and treatment approaches were observed across periods. The O/E mortality ratio for AMI increased during the early period (1.27; 95% CI, 1.07-1.48), which was disproportionately associated with patients with STEMI (1.96; 95% CI, 1.22-2.70). Although the O/E mortality ratio for AMI was not statistically different during the later period (1.23; 95% CI, 0.98-1.47), increases in the O/E mortality ratio were noted for patients with STEMI (2.40; 95% CI, 1.65-3.16) and after risk adjustment (odds ratio, 1.52; 95% CI, 1.02-2.26). Conclusions and Relevance: This cross-sectional study found important changes in AMI hospitalization rates and worse outcomes during the early and later COVID-19 periods. Future studies are needed to identify contributors to the increased mortality rate among patients with STEMI.

Temperature-based metonymies for emotions in children and adults.

Research with adults has found consistent metonymic mappings between emotions and temperature (e.g., anger is metonymically described with heat). The present study investigated the development of these relationships in early middle childhood. 30 7-yr.-olds, 30 9-yr.-olds, and 60 adults (M age = 18 yr., 3 mo.) matched the emotions of anger, fear, sorrow, love, hate, happiness, embarrassment, and shame to the temperature dimension. Age-related differences in the mappings were observed for all emotions except fear. Findings are discussed in terms of Kovecses' analyses of temperature-emotion metonymies in adults.