A Typology of Foster Home Quality Elements in Relation to Foster Youth Mental Health

Foster care has been one of the primary interventions in society\u27s efforts to address child maltreatment. The foster parents and foster homes follow a process of certification intended to ensure that maltreated children be placed in substitute care that supports and encourages positive outcomes. One of the outcomes of principle concern is mental health. Few studies have been conducted that explore the makeup of certified foster homes with respect to the cumulative impact of multiple indicators of quality on mental health outcomes of foster youth. This study sought to identify a typology of foster homes based on theorized indicators of quality and utilizing a dataset from the Supporting Siblings in Foster Care intervention. Hierarchical agglomerative cluster analyses, k-means cluster analyses, and Latent Class Analyses were separately conducted to develop typologies. Differences in group means of indicator variables were used to suggest characteristics of different foster home types. ANOVA and multivariate hierarchical linear regression were used to explore differences in mental health measures at baseline and over time between types of foster homes. Results indicated distinct typologies using the different clustering methods. In addition, foster home types characterized by a higher prevalence of kinship care and sibling togetherness were generally associated with lower estimated scores on several standardized mental health measures. Other variables were indicative of foster home type but were inconsistent in terms of their impact on mental health outcomes. These included foster parent education and experience, household size and income, length of placement and contact with biological parents. Implications for research, policy, programs, and practice are discussed

Analytical sensitivity of COVID-19 rapid antigen tests: A case for a robust reference standard

Aggressive diagnostic testing remains an indispensable strategy for health and aged care facilities to prevent the transmission of SARS-CoV-2 in vulnerable populations. The preferred diagnostic platform has shifted towards COVID-19 rapid antigen tests (RATs) to identify the most infectious individuals. As such, RATs are being manufactured faster than at any other time in our history yet lack the relevant quantitative analytics required to inform on absolute analytical sensitivity enabling manufacturers to maintain high batch-to-batch reproducibility, and end-users to accurately compare brands for decision making. Here, we describe a novel reference standard to measure and compare the analytical sensitivity of RATs using a recombinant GFP-tagged nucleocapsid protein (NP-GFP). Importantly, we show that the GFP tag does not interfere with NP detection and provides several advantages affording streamlined protein expression and purification in high yields as well as faster, cheaper and more sensitive quality control measures for post-production assessment of protein solubility and stability. Ten commercial COVID-19 RATs were evaluated and ranked using NP-GFP as a reference standard. Analytical sensitivity data of the selected devices as determined with NP-GFP did not correlate with those reported by the manufacturers using the median tissue culture infectious dose (TCID50) assay. Of note, TCID50 discordance has been previously reported. Taken together, our results highlight an urgent need for a reliable reference standard for evaluation and benchmarking of the analytical sensitivity of RAT devices. NP-GFP is a promising candidate as a reference standard that will ensure that RAT performance is accurately communicated to healthcare providers and the public

Identification of Birds through DNA Barcodes

Short DNA sequences from a standardized region of the genome provide a DNA barcode for identifying species. Compiling a public library of DNA barcodes linked to named specimens could provide a new master key for identifying species, one whose power will rise with increased taxon coverage and with faster, cheaper sequencing. Recent work suggests that sequence diversity in a 648-bp region of the mitochondrial gene, cytochrome c oxidase I (COI), might serve as a DNA barcode for the identification of animal species. This study tested the effectiveness of a COI barcode in discriminating bird species, one of the largest and best-studied vertebrate groups. We determined COI barcodes for 260 species of North American birds and found that distinguishing species was generally straightforward. All species had a different COI barcode(s), and the differences between closely related species were, on average, 18 times higher than the differences within species. Our results identified four probable new species of North American birds, suggesting that a global survey will lead to the recognition of many additional bird species. The finding of large COI sequence differences between, as compared to small differences within, species confirms the effectiveness of COI barcodes for the identification of bird species. This result plus those from other groups of animals imply that a standard screening threshold of sequence difference (10× average intraspecific difference) could speed the discovery of new animal species. The growing evidence for the effectiveness of DNA barcodes as a basis for species identification supports an international exercise that has recently begun to assemble a comprehensive library of COI sequences linked to named specimens