The moderating role of everyday discrimination on the association between post-traumatic stress and loneliness among older Puerto Ricans.

OBJECTIVES: This study examines the relationship between post-traumatic stress and loneliness and whether this relationship varies by perceived everyday discrimination among older Puerto Ricans. METHODS: A total of 304 Puerto Ricans aged 60 and above from Wave 3 of the Boston Puerto Rican Health Study were included. Ordinary least squares regression examined the association between post-traumatic stress, perceived everyday discrimination, and loneliness. RESULTS: Post-traumatic stress was significantly associated with a higher level of loneliness (ß = 0.282; p < 0.001; 95% CI: 0.142, 0.423). The interaction effect between post-traumatic stress and perceived everyday discrimination on loneliness was statistically significant (ß = 0.083; p < 0.05; 95% CI: 0.062, 0.230). More specifically, the positive association between post-traumatic stress and loneliness becomes more robust with the increase in perceived everyday discrimination. CONCLUSION: Given an increase in population size on the U.S. mainland and migration from Puerto Rico due to natural disasters and declining economic conditions, it is essential to better understand the effect of perceived discrimination against older Puerto Ricans on the mainland United States as well as those who immigrated and stayed through older age. Outreach strategies and interventions that address perceived discrimination can help mitigate loneliness among older Puerto Ricans who experienced trauma.

An Integrated Historical Trauma and Posttraumatic Growth Framework: a Cross-Cultural Exploration.

Trauma recovery for racial and ethnic groups experiencing ongoing systemic violence and discrimination requires a framework that simultaneously addresses harms and strengths. Historical trauma (HT) is a social determinant of health emanating from targeted mass group-level harm. Posttraumatic growth (PTG) focuses on positive shifts in individuals coping with trauma. This article highlights the unique contributions of these two distinct bodies of literature to inform trauma recovery. We explore areas of overlap, gaps, and tensions between the concepts to present an HT-PTG conceptual framework. The HT-PTG framework combines HT's focus on socio-structural-historical experiences in racial and ethnic groups targeted for oppression with PTG's descriptions of characteristics of growth. Specifically, five mass group-level domains of growth, centering healing, creativity, growth, and transformation are described. The ancestral legacies of the authors, including American Indian, Indigenous Mexican, African American, Puerto Rican, and Indigenous Taiwanese, inform the HT-PTG framework. This paper presents implications for trauma-recovery research and practice.

Evaluation of the performance of drug-drug interaction screening software in community and hospital pharmacies.

BACKGROUND: Computerized drug-drug interaction (DDI) screening is widely used to identify potentially harmful drug combinations in the inpatient and outpatient setting. OBJECTIVE: To evaluate the performance of drug-drug interaction (DDI) screening software in identifying select clinically significant DDIs in pharmacy computer systems in community and hospital pharmacies. METHODS: Ten community pharmacies and 10 hospital pharmacies in the Tucson metropolitan area were invited to participate in the study in 2004. To test the performance of each of the systems used by the pharmacies, 25 medications were used to create 6 mock patient profiles containing 37 drug-drug pairs, 16 of which are clinically meaningful DDIs that pose a potential risk to patient safety. Each profile was entered into the computer pharmacy system, and the system response in terms of the presence or absence of a DDI alert was recorded for each drug pair. The percentage of correct responses and the sensitivity, specificity, positive predictive value, and negative predictive value of each system to correctly classify each drug pair as a DDI or not was calculated. Summary statistics of these measures were calculated separately for community and hospital pharmacies. RESULTS: Eight community pharmacies and 5 hospital pharmacies in the Tucson metropolitan area agreed to participate in the study. The median sensitivity and median specificity for community pharmacies was 0.88 (range, 0.81-0.94) and 0.91 (range, 0.67-1.00), respectively. For hospital pharmacies, the median sensitivity and median specificity was 0.38 (range, 0.15-0.94) and 0.95 (range, 0.81-0.95), respectively. CONCLUSION: Based on this convenience sample of 8 community pharmacies and 5 hospital pharmacies in 1 metropolitan area, the performance of community pharmacy computer systems in screening DDIs appears to have improved over the last several years compared with research published previously in 2001. However, significant variation remains in the performance of hospital pharmacy computer systems, even among systems manufactured by the same vendor. Future research should focus on improving the performance of these systems in accurately and precisely identifying DDIs with a high probability of resulting in true potential adverse effects on clinical outcomes and creating a low .noise. ratio associated with false-positive alerts.