Determining the most economical SSRI for a Medicare risk contract.

Am J Health Syst Pharm

Centura Managed Care, Denver, CO 80210, USA.

Published: January 1999

Download full-text PDF

Source
http://dx.doi.org/10.1093/ajhp/56.1.23DOI Listing

Publication Analysis

Top Keywords

determining economical
4
economical ssri
4
ssri medicare
4
medicare risk
4
risk contract
4
determining
1
ssri
1
medicare
1
risk
1
contract
1

Similar Publications

Background: Heart failure (HF) is a chronic, progressive condition where the heart cannot pump enough blood to meet the body's needs. In addition to the daily challenges that HF poses, acute exacerbations can lead to costly hospitalizations and increased mortality. High health care costs and the burden of HF have led to the emerging application of new technologies to support people living with HF to stay well while living in the community.

View Article and Find Full Text PDF

Identification of potential drug-target interactions (DTIs) is a crucial step in drug discovery and repurposing. Although deep learning effectively deciphers DTIs, most deep learning-based methods represent drug features from only a single perspective. Moreover, the fusion method of drug and protein features needs further refinement.

View Article and Find Full Text PDF

The global prevalence of heart failure is still growing, which imposes a heavy economic burden. The role of microRNA-146b (miR-146b) in HF remain largely unknown. This study aims to explore the role and mechanism of miR-146b in HF.

View Article and Find Full Text PDF

In the present study, we are presenting the results of radium content, radon concentration, and radon exhalation rates (both mass and area) for 32 soil samples collected from different locations of Abi-Adi Town, Ethiopia, by using the sealed can technique containing a LR-115 Type-II plastic detector. The values of radium content from soil samples were found to vary from 35.26 Bq kg-1 to 101.

View Article and Find Full Text PDF

States differ significantly in international sports competitions in how they use the resources they have and whether they do so in an efficient manner. In this paper, we investigate the efficiency of the nations from the so-called "Global South", in total 52 states, during the 2000-2024 Summer Olympics. By doing this, our paper is the first using the Bayesian stochastic frontier analysis for exploring the performance of the states of the Global South.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!