Highlights Health professional students can effectively implement a contact tracing initiative A replicable workflow and onboarding system aids in efficient contact tracing Testing capacity, community buy-in, and sparse resources can impact contact tracing
Background There is compelling evidence on the impact of diet as preventative medicine, and with rising health care costs healthcare organizations are attempting to identify interventions to improve patient health outcomes. Objectives The purpose of this systematic scoping review was to characterize existing healthcare organization–based interventions to improve access to fruits and vegetables (F&V) for their patient populations. In addition, we aimed to review the impact of identified interventions on dietary intake and health outcomes. Methods Titles and abstracts were searched in PubMed® (MEDLINE®), Embase®, CINAHL®, and the Cochrane Library® from 1 January 1990 to 31 December 2019. To be selected for inclusion, original studies must have included a healthcare organization and have had a programmatic focus on increasing access to or providing fresh F&V to patients in an outpatient, naturalistic setting. The Effective Public Health Practice Project tool was used to assess study quality in 6 domains (selection bias, study design, confounders, blinding, data collection methods, and withdrawals and dropouts). Results A total of 8876 abstracts were screened, yielding 44 manuscripts or abstracts from 27 programs. Six program models were identified: 1) a cash-back rebate program, 2) F&V voucher programs, 3) garden-based programs, 4) subsidized food box programs, 5) home-delivery meal programs, and 6) collaborative food pantry–clinical programs. Only 6 of 27 studies included a control group. The overall quality of the studies was weak due to participant selection bias and incomplete reporting on data collection tools, confounders, and dropouts. Given the heterogeneity of outcomes measured and weak study quality, conclusions regarding dietary and health-related outcomes were limited. Conclusions Healthcare-based initiatives to improve patient access to F&V are novel and have promise. However, future studies will need rigorous study designs and validated data collection tools, particularly related to dietary intake, to better determine the effect of these interventions on health-related outcomes.
Purpose Contact tracing has proven successful at controlling COVID-19 globally and the Center for Health Security has recommended that the United States add 100,000 contact tracers to the current workforce. Methods To address gaps in local contact tracing, health professional students partnered with their academic institution to conduct contact tracing for all COVID-19 cases diagnosed on site, which included identifying and reaching their contacts, educating participants and providing social resources to support effective quarantine and isolation. Results From March 24 th to May 28 th , 536 laboratory-confirmed COVID-19 cases were contacted and reported an average of 2.6 contacts. Contacts were informed of their exposure, asked to quarantine and monitored for the onset of symptoms. Callers reached 94% of cases and 84% of contacts. 74% of cases reported at least 1 contact. Household members had higher rates of reporting symptoms (OR 1.65, 95% CI 1.19:2.28). The average test turnaround time decreased from 21.8 days for the first patients of this program to 2.3 days on the eleventh week. Conclusions This provides evidence for the untapped potential of community contact tracing to respond to regional needs, confront barriers to effective quarantine and mitigate the spread of COVID-19.
Genetic variants identified by mapping are biased toward large phenotypic effects because of methodologic challenges for detecting genetic variants with small phenotypic effects. Recently, bulk segregant analysis combined with next-generation sequencing (BSA-seq) was shown to be a powerful and cost-effective way to map small effect variants in natural populations. Here, we examine the power of BSA-seq for efficiently mapping small effect mutations isolated from a mutagenesis screen. Specifically, we determined the impact of segregant population size, intensity of phenotypic selection to collect segregants, number of mitotic generations between meiosis and sequencing, and average sequencing depth on power for mapping mutations with a range of effects on the phenotypic mean and standard deviation as well as relative fitness. We then used BSA-seq to map the mutations responsible for three ethyl methanesulfonate−induced mutant phenotypes in Saccharomyces cerevisiae. These mutants display small quantitative variation in the mean expression of a fluorescent reporter gene (−3%, +7%, and +10%). Using a genetic background with increased meiosis rate, a reliable mating type marker, and fluorescence-activated cell sorting to efficiently score large segregating populations and isolate cells with extreme phenotypes, we successfully mapped and functionally confirmed a single point mutation responsible for the mutant phenotype in all three cases. Our simulations and experimental data show that the effects of a causative site not only on the mean phenotype, but also on its standard deviation and relative fitness should be considered when mapping genetic variants in microorganisms such as yeast that require population growth steps for BSA-seq.
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