Relationship Between Psychosocial Stressors and Atrial Fibrillation in Women >45 Years of Age.

Negative emotions have been linked to the development of atrial fibrillation (AF), and positive effect may be protective. However, there are few large-scale studies examining the association between psychosocial stressors that may provoke these emotions and the occurrence of AF. We examined the cross-sectional relation between psychosocial stress and AF in 24,809 women participating in the Women's Health Study. Participants answered questions about work stress (e.g., excessive work, conflicting demands), work-family spillover stress (e.g., too stressed after work to participate in activities with family), financial stress (e.g., difficulty paying monthly bills), traumatic life events (e.g., death of a child), everyday discrimination (e.g., less respect, poor service), intimate partner stress (e.g., how judgmental is your spouse/partner), neighborhood stress (e.g., neighborhood safety, trust), negative life events within 5 years (e.g., life threatening illness, legal problems), and cumulative stress (a weighted measure of the stress domains). The prevalence of confirmed AF was 3.84% (N = 953) and risk factor profiles differed by AF status. Women with AF reported significantly higher financial stress, traumatic life events, and neighborhood stress (peach < 0.05). Only traumatic life events (odds ratio 1.37, 95% confidence interval 1.19 to 1.59) was significantly associated with AF after adjustment for cardiovascular risk factors, socioeconomic and psychosocial status. These large-scale cross-sectional data thus indicate a potential relationship between traumatic life events and AF in older women.

Naloxone Distribution and Training for Patients with High-Risk Opioid Use in a Veterans Affairs Community-Based Primary Care Clinic.

CONTEXT: Naloxone distribution has historically been implemented in a community-based, expanded public health model; however, there is now a need to further explore primary care clinic-based naloxone delivery to effectively address the nationwide opioid epidemic. OBJECTIVE: To create a general medicine infrastructure to identify patients with high-risk opioid use and provide 25% of this population with naloxone autoinjector prescription and training within a 6-month period. DESIGN: The quality improvement study was conducted at an outpatient clinic serving 1238 marginally housed veterans with high rates of comorbid substance use and mental health disorders. Patients at high risk of opioid-related adverse events were identified using the Stratification Tool for Opioid Risk Management and were contacted to participate in a one-on-one, 15-minute, hands-on naloxone training led by nursing staff. MAIN OUTCOME MEASURES: The number of patients identified at high risk and rates of naloxone training/distribution. RESULTS: There were 67 patients identified as having high-risk opioid use. None of these patients had been prescribed naloxone at baseline. At the end of the intervention, 61 patients (91%) had been trained in the use of naloxone. Naloxone was primarily distributed by licensed vocational nurses (42/61, 69%). CONCLUSION: This study demonstrates the feasibility of high-risk patient identification and of a primary care-based and nursing-championed naloxone distribution model. This delivery model has the potential to provide access to naloxone to a population of patients with opioid use who may not be engaged in mental health or specialty care.