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Combining the benefits of decision science and financial analysis in public health management: a county-specific budgeting and planning model.

Identifieur interne : 006759 ( Main/Curation ); précédent : 006758; suivant : 006760

Combining the benefits of decision science and financial analysis in public health management: a county-specific budgeting and planning model.

Auteurs : Peter J. Fos [États-Unis] ; Danny L. Miller ; Brian W. Amy ; Miguel A. Zuniga

Source :

RBID : pubmed:15552764

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Abstract

State public health agencies are charged with providing and overseeing the management of basic public health services on a population-wide basis. These activities have a re-emphasized focus as a result of the events of September 11, 2001, the subsequent anthrax events, and the continuing importance placed on bioterrorism preparedness, West Nile virus, and emerging infectious diseases (eg, monkeypox, SARS). This has added to the tension that exists in budgeting and planning, given the diverse constituencies that are served in each state. State health agencies must be prepared to allocate finite resources in a more formal manner to be able to provide basic public health services on a routine basis, as well as during outbreaks. This article describes the use of an analytical approach to assist financial analysis that is used for budgeting and planning in a state health agency. The combined benefits of decision science and financial analysis are needed to adequately and appropriately plan and budget to meet the diverse needs of the populations within a state. Health and financial indicators are incorporated into a decision model, based on multicriteria decision theory, that has been employed to acquire information about counties and public health programs areas within a county, that reflect the impact of planning and budgeting efforts. This information can be used to allocate resources, to distribute funds for health care services, and to guide public health finance policy formulation and implementation.

DOI: 10.1097/00124784-200409000-00006
PubMed: 15552764

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pubmed:15552764

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