There is a need to develop decision support tools for the increasing choices of genetic testing options for patients seeking IVF. Including patients' values, past pregnancy experiences and attitudes toward science into the decision-making process may help promote a more informed decision.

Obtaining informed consent for bloodspot research from newborn screening is particularly challenging due to the hectic environment of the postnatal period and the relatively abstract nature of future, unspecified research on the biospecimens. A randomized controlled trial was conducted in three Michigan hospitals to compare two different consent processes (video and interactive tablet “app”) with standard brochure-based consent in the Michigan BioTrust for Health. Results indicated higher knowledge scores for the video and app groups as well as significantly higher scores on satisfaction, amount of information, and clarity with the information provided. More research is needed to find the right amount of information for informed decision-making, and additional feasibility studies are needed to assess implementation strategies.

Background There is a need to evaluate how the choice of time interval contributes to the lack of consistency of SDoH variables that appear as important to COVID-19 disease burden within an analysis for both case counts and death counts. Methods This study identified SDoH variables associated with U.S county-level COVID-19 cumulative case and death incidence for six different periods: the first 30, 60, 90, 120, 150, and 180 days since each county had COVID-19 one case per 10,000 residents. The set of SDoH variables were in the following domains: resource deprivation, access to care/health resources, population characteristics, traveling behavior, vulnerable populations, and health status. A generalized variance inflation factor (GVIF) analysis was used to identify variables with high multicollinearity. For each dependent variable, a separate model was built for each of the time periods. We used a mixed-effect generalized linear modeling of counts normalized per 100,000 population using negative binomial regression. We performed a Kolmogorov-Smirnov goodness of fit test, an outlier test, and a dispersion test for each model. Sensitivity analysis included altering the county start date to the day each county reached 10 COVID-19 cases per 10,000. Results Ninety-seven percent (3059/3140) of the counties were represented in the final analysis. Six features proved important for both the main and sensitivity analysis: adults-with-college-degree, days-sheltering-in-place-at-start, prior-seven-day-median-time-home, percent-black, percent-foreign-born, over-65-years-of-age, black-white-segregation, and days-since-pandemic-start. These variables belonged to the following categories: COVID-19 related, vulnerable populations, and population characteristics. Our diagnostic results show that across our outcomes, the models of the shorter time periods (30 days, 60 days, and 900 days) have a better fit. Conclusion Our findings demonstrate that the set of SDoH features that are significant for COVID-19 outcomes varies based on the time from the start date of the pandemic and when COVID-19 was present in a county. These results could assist researchers with variable selection and inform decision makers when creating public health policy.

Purpose Residual newborn screening dried bloodspots (DBS) are a valuable resource for research but the extent, type, and nature of uses are unknown. The objective of this research was to systematically review the published literature about secondary research uses of residual DBS using a scoping review protocol. Methods A total of 654 publications meeting the inclusion criteria with a 94% interrater reliability were identified. A coding template was created with input from expert advisory board to summarize the data. Electronic literature search of Ovid MEDLINE, Embase (via Embase.com), CINAHL (EBSCO),and Science and Social Sciences Citation Indices (via Web of Science) was conducted. Results A large proportion of the secondary research with DBS was conducted within the United States (30%). The number of published studies utilizing DBS are increasing each year, primarily with observational or case–control designs. Only a small number of studies reported whether or not consent was obtained and if the DBS were identifiable or not. Conclusion Outcomes of this research indicate that residual DBS are well utilized worldwide for research addressing individual and public health issues. Future analyses will summarize outcomes of disease-specific research and provide evidence of the use of residual DBS in research on health outcomes.

IMPORTANCEResults of several small randomized clinical trials have suggested that supplements of marine ω-3 fatty acids may be beneficial in treating signs and symptoms of dry eye disease (DED). However, randomized clinical trial data to examine whether ω-3 fatty acid supplements can prevent DED are lacking.OBJECTIVE To evaluate whether long-term daily supplementation with marine ω-3 fatty acids prevents the development of DED. DESIGN, SETTING, AND PARTICIPANTSThis was a prespecified ancillary study of the Vitamin D and Omega-3 Trial (VITAL), a nationwide randomized double-blind placebo-controlled 2 × 2 factorial trial of vitamin D and marine ω-3 fatty acids in the primary prevention of cancer and cardiovascular disease. Participants in this ancillary study were 23 523 US adults (men 50 years and older and women 55 years and older) who at study entry were free of a previous diagnosis of DED and were not experiencing severe dry eye symptoms.