Decision Science: A Scientific Approach to Enhance Public Health Budgeting
Document Type
Article
Publication Date
3-1-2010
Department
Community Health Sciences
Abstract
The allocation of resources for public health programming is a complicated and daunting responsibility. Financial decision-making processes within public health agencies are especially difficult when not supported with techniques for prioritizing and ranking alternatives. This article presents a case study of a decision analysis software model that was applied to the process of identifying funding priorities for public health services in the Spokane Regional Health District. Results on the use of this decision support system provide insights into how decision science models, which have been used for decades in business and industry, can be successfully applied to public health budgeting as a means of strengthening agency financial management processes.
Publication Title
Journal of Public Health Management and Practice
Volume
16
Issue
2
First Page
98
Last Page
103
Recommended Citation
Honoré, P. A.,
Fos, P. J.,
Smith, T.,
Riley, M.,
Kramarz, K.
(2010). Decision Science: A Scientific Approach to Enhance Public Health Budgeting. Journal of Public Health Management and Practice, 16(2), 98-103.
Available at: https://aquila.usm.edu/fac_pubs/824