PubMed Health⌕ Search

PubMed · 10267662

Grants for nurse practitioner traineeship programs--PHS. Interim final regulations.

Abstract

These regulations set forth requirements for grants to schools of nursing, medicine, and public health, to public or nonprofit private hospitals, and to other public or nonprofit private entities to meet the costs of traineeships for training nurse practitioners. A trainee must sign a commitment with the Secretary to practice full-time as a nurse practitioner in a primary medical care health manpower shortage area, designated under section 332 of the Public Health Service Act (the Act), for a period equal to 1 month for each month of traineeship support, after completion of the training. If this obligation is not fulfilled, a trainee must pay back traineeship support. The purpose of these regulations is to respond to the comments on the 1980 interim final regulations and to conform 42 CFR Part 57, Subpart AA, with the Paperwork Reduction Act of 1980, Pub. L. 96-511, and with the Omnibus Budget Reconciliation Act of 1981, Pub. L. 97-35, which requires, among other provisions, that the Secretary provide, by regulation, for the waiver or suspension of the repayment obligation under certain conditions. In addition, other minor changes have been made and Office of Management and Budget (OMB) numbers are cited in those sections which have approved reporting and recordkeeping requirements.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

1984-08-01. Grants for nurse practitioner traineeship programs--PHS. Interim final regulations.. https://pubmed.ncbi.nlm.nih.gov/10267662/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗