Barriers to help-seeking for postpartum depression mapped onto the socio-ecological model and recommendations to address barriers.

Postpartum depression affects nearly a quarter of women up to a year after childbirth. Although it is treatable, significant barriers to help-seeking prevent women from being treated. This paper assesses key literature on the barriers for help-seeking among women with postpartum depression.

Simultaneous detection of pathogens and antimicrobial resistance genes with the open source, cloud-based, CZ ID pipeline.

Antimicrobial resistant (AMR) pathogens represent urgent threats to human health, and their surveillance is of paramount importance. Metagenomic next generation sequencing (mNGS) has revolutionized such efforts, but remains challenging due to the lack of open-access bioinformatics tools capable of simultaneously analyzing both microbial and AMR gene sequences. To address this need, we developed the CZ ID AMR module, an open-access, cloud-based workflow designed to integrate detection of both microbes and AMR genes in mNGS and whole-genome sequencing (WGS) data.

Simultaneous detection of pathogens and antimicrobial resistance genes with the open source, cloud-based, CZ ID pipeline.

Antimicrobial resistant (AMR) pathogens represent urgent threats to human health, and their surveillance is of paramount importance. Metagenomic next generation sequencing (mNGS) has revolutionized such efforts, but remains challenging due to the lack of open-access bioinformatics tools capable of simultaneously analyzing both microbial and AMR gene sequences. To address this need, we developed the Chan Zuckerberg ID (CZ ID) AMR module, an open-access, cloud-based workflow designed to integrate detection of both microbes and AMR genes in mNGS and whole-genome sequencing (WGS) data.

IDseq-An open source cloud-based pipeline and analysis service for metagenomic pathogen detection and monitoring.

Background: Metagenomic next-generation sequencing (mNGS) has enabled the rapid, unbiased detection and identification of microbes without pathogen-specific reagents, culturing, or a priori knowledge of the microbial landscape. mNGS data analysis requires a series of computationally intensive processing steps to accurately determine the microbial composition of a sample. Existing mNGS data analysis tools typically require bioinformatics expertise and access to local server-class hardware resources.

The case for full practice authority.

The Institute of Medicine (IOM) recommended in its 2010 report on the future of nursing that advanced practice registered nurses (APRNs) should factor prominently in providing care to the millions of Americans who access healthcare services under the Affordable Care Act (ACA). The IOM also recommended that APRNs practice to the full extent of their education and training.However, many states have laws in place that limit full practice authority for APRNs, specifically NPs, in providing basic health services such as primary care.