Inaccurate penicillin allergy labeling may deter healthcare providers from initiating appropriate therapy and contribute to antibiotic resistance. In a rural urgent care setting, the current practice of penicillin allergy labeling was evaluated using the PEN-FAST tool. The results confirm opportunity to further evaluate and improve current practice for allergy assessment.

Suicide is a leading cause of death in the United States, particularly among adolescents. In recent years, suicidal ideation, attempts, and fatalities have increased. Systems maps can effectively represent complex issues such as suicide, thus providing decision-support tools for policymakers to identify and evaluate interventions. While network science has served to examine systems maps in fields such as obesity, there is limited research at the intersection of suicidology and network science. In this paper, we apply network science to a large causal map of adverse childhood experiences (ACEs) and suicide to address this gap. The National Center for Injury Prevention and Control (NCIPC) within the Centers for Disease Control and Prevention recently created a causal map that encapsulates ACEs and adolescent suicide in 361 concept nodes and 946 directed relationships. In this study, we examine this map and three similar models through three related questions: (Q1) how do existing network-based models of suicide differ in terms of node- and network-level characteristics? (Q2) Using the NCIPC model as a unifying framework, how do current suicide intervention strategies align with prevailing theories of suicide? (Q3) How can the use of network science on the NCIPC model guide suicide interventions?

This study explores vulnerability narratives used in relation to older adults and others during the COVID-19 pandemic. A mixed-method content analysis was conducted of 391 articles published in two major newspapers in Canada and the USA during the first wave of the pandemic. The findings indicated that during the early months of the pandemic, limited attention was directed towards its impact on older adults or other ‘vulnerable’ subpopulations in both countries. Where evident, intrinsic (individual-level) risk factors were most consistently used to frame the vulnerability of older adults. In contrast, vulnerability was more likely to be framed as structural with regard to other subpopulations (e.g., ethno-racial minorities). These narratives also differed somewhat in Canadian and US newspapers. The framing of older adults as intrinsically vulnerable reflects ageist stereotypes and promotes downstream policy interventions. Greater attention is needed to the role of structural factors in influencing pandemic-related outcomes among older adults.

Using a life tables approach with 2011–2017 claims data, we calculated lifetime risks of Clostridioides difficile infection (CDI) beginning at age 18 years. The lifetime CDI risk rates were 32% in female patients insured by Medicaid, 10% in commercially insured male patients, and almost 40% in females with end-stage renal disease.

The three-way intersection of gender, relationship-to-care-recipient and care-giving demands has not, to our knowledge, been examined in relation to the wellbeing of family care-givers. We explore inequalities in depressive symptoms and life satisfaction, comparing wives, husbands, daughters and sons providing very-intensive care (36+ hours/week) with those providing less care and disparities between these groups in the factors related to disadvantage. Data from the Canadian Longitudinal Study on Aging (N = 5,994) support the existence of differences between the groups. Very-intensive care-giving wives report the most depressive symptoms and lowest life satisfaction; less-intensive care-giving sons report the fewest depressive symptoms, and less-intensive care-giving daughters report the highest life satisfaction. However, group differences in life satisfaction disappear among very-intensive care-givers. Drawing on Intersectionality and Stress Process theories, data from regression analyses reveal a non-significant gender–relationship–demand interaction term, but, health, socio-economic and social support resources play a strong mediating role between care demand and wellbeing. Analyses of the eight groups separately reveal diversity in the care-giving experience. Among less-intensive care-givers, the mediating role of resources remains strong even as differences are evident. Among very-intensive care-givers, the role of resources is less and differences in wellbeing between the groups are magnified. Policy implications emphasise the imperative to personalise services to meet the varied needs of care-givers.