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Thomas Jefferson University

Series

2005

Asthma

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

Asthma Management Programs In Managed Care Organizations, Christine W. Hartmann Mss, Phd, Vittorio Maio Pharmd, Ms, Neil I. Goldfarb, Nicole M. Cobb Maom, David B. Nash Dec 2005

Asthma Management Programs In Managed Care Organizations, Christine W. Hartmann Mss, Phd, Vittorio Maio Pharmd, Ms, Neil I. Goldfarb, Nicole M. Cobb Maom, David B. Nash

College of Population Health Faculty Papers

The aim of this work was to investigate how managed care organizations (MCOs) currently approach asthma treatment and management and to determine factors affecting asthma outcomes. A Web-based survey was administered to a national sample of 351 medical directors of MCOs to investigate the asthma management program components in their organizations as well as gaps and barriers in the management of patients with asthma. All 134 (38.2%) responding medical directors reported that their organizations monitor asthma patients. Plans use a variety of asthma management activities, including general member education (90%), member education by mail (87%), self-management education (85%), and provider …


Comparative Effectiveness Of Total Population Versus Disease-Specific Neural Network Models In Predicting Medical Costs, Albert G. Crawford, Joseph P. Fuhr Jr., Janice Clarke, Brandon Hubbs Oct 2005

Comparative Effectiveness Of Total Population Versus Disease-Specific Neural Network Models In Predicting Medical Costs, Albert G. Crawford, Joseph P. Fuhr Jr., Janice Clarke, Brandon Hubbs

College of Population Health Faculty Papers

The objective of this research was to compare the accuracy of two types of neural networks in identifying individuals at risk for high medical costs for three chronic conditions. Two neural network models—a population model and three disease-specific models—were compared regarding effectiveness predicting high costs. Subjects included 33,908 health plan members with diabetes, 19,264 with asthma, and 2,605 with cardiac conditions. For model development/testing, only members with 24 months of continuous enrollment were included. Models were developed to predict probability of high costs in 2000 (top 15% of distribution) based on 1999 claims factors. After validation, models were applied to …