Health Services Administration Commons^™

Estimation Of Uninsurance Rate: Comparison Of Four Estimation Methods, Jackie Zhang, Renee Hotchkiss, Thomas Wan

Thomas T.H. Wan

Objective: Although high percentage of the uninsured is an important public policy issue, the discrepancies in both state and national estimates of the numbers of uninsured are reported. This study compares four advanced estimation methods for uninsurance, by using Florida Health Insurance Survey data as an example. Design: The four predictive models include decision tree, neural network, general logistic regression, and two-stage logistic regression. Risk factors to uninsurance are identified. Population: The study sample comes from the Florida Health Insurance Study data collected for the Florida Agency of Health Care Administration in 1999, representing the first large-scale study designed exclusively …

Creating Progam Logic Models: A Toolkit For State Flex Programs, John A. Gale Ms, Andrew F. Coburn Phd, Stephanie Loux Ms

Population Health & Health Policy

A logic modeling toolkit developed by the Flex Monitoring Team is available for use by state Medicare Rural Hospital Flexibility Programs (Flex Programs) in planning for and managing their Flex programs. The use of the Program Logic Model (PLM) Toolkit will provide states with a tool to assist in:

Planning, managing, reporting on, and assessing their Flex Program goals, activities, and accomplishments;

• Developing buy-in among key Flex Program stakeholders;
• Clarifying the underlying program assumptions;
• Identifying and defining measurable outcomes;
• Linking state-level Flex Program strategies and activities to specific and measurable outcomes; and
• Reporting program results to both internal and external …

Designing Employer-Sponsored Mental Health Benefits, Rachel Sethi, Joanne Jee, Lisa Chimento, D. Richard Mauery

Health Policy and Management Faculty Publications

No abstract provided.

Mental Illness And Barriers To Health Care Access, Charlene Powell

MPA/MPP/MPFM Capstone Projects

Statement of Problem

Access to health care in the United States is major concern, despite the fact that the country spends more per capita on health care than any other country. Individuals with mental illness may face greater access problems than the general population.

Research Question

• Does mental illness predict greater difficulties with access to health care?

Methodology

The 2004 National Health Interview Survey (NHIS) was used to examine the barriers to health care among individuals reporting a mental illness diagnosis. Nine questions relating to health access problems were drawn from the survey and combined into an access index. Multivariate …