A proposed application of the attributable risk technique in the assessment of unmet need among newly organized populations

June O'Neal Ellis, The University of Texas School of Public Health

Abstract

In the midst of health care reform, and as health care organizations reorganize to provide more cost-effective healthcare, the population is being shifted into new healthcare delivery systems such as health insurance purchasing alliances, and health maintenance organizations. These new models of delivery are usually organized within resource restricted and data limited environments. Health care planners are faced with the challenge of identifying priorities for preventive and primary care services within these newly organized populations (Medicare HMO, Medicaid HMO, etc.). The author proposes a technique usually employed in epidemiology--attributable risk estimation--as a planning methodology to establish preventive health priorities within newly organized populations. Illustrations of the methodology are provided utilizing the Texas 1992 population.

Subject Area

Public health|Health education

Recommended Citation

Ellis, June O'Neal, "A proposed application of the attributable risk technique in the assessment of unmet need among newly organized populations" (1995). Texas Medical Center Dissertations (via ProQuest). AAI9610029.
https://digitalcommons.library.tmc.edu/dissertations/AAI9610029

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