Výsledky vyhledávání - "Avery J. Ashby"

Traditional Risk Indices as Predictors of Future Utilization and Charges in the Context of Population Health for an Uninsured Cohort

Autor: Andrew McWilliams, Charity G. Moore, Ethan T. Lubanski, Nigel Rozario, Holly Mulder, Whitney Rossman, Tom Ludden, Michael Dulin, Avery J. Ashby

Publikováno v: eGEMs, Vol 5, Iss 1 (2017)
eGEMs (Generating Evidence & Methods to improve patient outcomes); Vol 5, No 1 (2017); 11

Introduction: The uninsured population presents unique challenges to the application of an integrated approach to population health. Our objective is to compare and test population risk indices for identifying a cohort of uninsured patients at high-r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ede9afd16e5356d4a46f28c427bd3031

Zobrazit plný text záznamu

Aiming to Improve Readmissions Through InteGrated Hospital Transitions (AIRTIGHT): study protocol for a randomized controlled trial

Autor: Stephanie Murphy, Jason Roberge, Charity G. Moore, Ryan Brown, Stephannie McCall, Avery J. Ashby, Andrew McWilliams, Shannon Carpenter, Whitney Rossman, Scott Rissmiller, Scott Furney

Publikováno v: Trials

Background Hospital readmissions remain highly prevalent despite being the target of policies and financial penalties. Evidence comparing the effectiveness and costs of interventions to reduce readmissions is lacking, leaving healthcare systems with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f162113163bd9cdc65dbe2f488f328bf
http://europepmc.org/articles/PMC5168819

Zobrazit plný text záznamu

Spatial Implications Associated with Using Euclidean Distance Measurements and Geographic Centroid Imputation in Health Care Research

Autor: Soyal Momin, Avery J. Ashby, Stephen G. Jones, Allen Naidoo

Publikováno v: Health Services Research. 45:316-327

Geographically based health care research commonly utilizes methodologies and measurements attainable using a geographic information system (GIS). The need for measurement precision varies and is relative to the study question and unit of measure wit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11a5c4bd38216ffd15186ec98e0a1095
https://doi.org/10.1111/j.1475-6773.2009.01044.x

Zobrazit plný text záznamu

Plný text ve formátu HTML

Bayesian Modeling of Accelerated Life Tests with Random Effects

Autor: Avery J. Ashby, Jayanth Thyagarajan, Ravichandran Ramachandran, Ramón V. León

Publikováno v: Journal of Quality Technology. 39:3-16

Bayesian analysis using Markov chain Monte Carlo methods is used to make inferences in accelerated life tests in which test units are from different batches and the group effect is random and significant. The approach accommodates multiple random eff

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3a5ee78fc9228aa9eb8cd8dd5289b847
https://doi.org/10.1080/00224065.2007.11917669

Zobrazit plný text záznamu

Autor: Raymond Phillippi, Soyal Momin, William Westerfield, Avery J. Ashby, Amanda Honish

Publikováno v: Disease management : DM. 9(4)

The objective of this study was to explore the relationship between health-related quality of life (HRQOL) and treatment compliance among a sample of patients with diabetes. A sample of 198 employees with diabetes of a large southeastern health plan,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc2ccbcd49b0acfcb1a9f50627477f96
https://pubmed.ncbi.nlm.nih.gov/16893332

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání