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Quantitative management techniques in dietetics: improving practice through technology transfer.

D M Brown¹, L W Hoover

¹Department of Human Nutrition, Foods, and Food System Management, College of Home Economics, University of Missouri-Columbia 65211.

Journal of the American Dietetic Association

|December 1, 1988

Summary

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Dietetic professionals have adopted management tools, but a gap exists between demonstrating management science techniques and their practical application. Improved technology transfer is needed for better decision-making in dietetics.

Area of Science:

Dietetics
Management Science
Health Services Management

Background:

The Journal of The American Dietetic Association (JADA) has documented management practices in dietetics since 1925.
The evolution of management tools and techniques within the dietetic profession is evident.
Quantitative management science techniques have been increasingly featured.

Purpose of the Study:

To analyze the historical adoption of management tools in dietetics.
To assess the integration of quantitative management science techniques in dietetic practice.
To identify the gap between demonstrated and operational use of these techniques.

Main Methods:

Content analysis of articles published in JADA from 1925 to the present.
Categorization of management science techniques into seven classifications.

Related Experiment Videos

Historical review of management practice evolution.

Main Results:

Management science techniques like forecasting, simulation, linear programming, and queuing models have been reported in JADA.
A significant gap exists between the research demonstration of these techniques and their actual implementation in dietetic practice.
The adoption of management tools has broadened and deepened over time.

Conclusions:

Dietetic researchers, practitioners, and educators must bridge the technology transfer gap.
Enhanced transfer of quantitative management science is crucial for improving tactical and strategic decision-making in dietetics.
The profession needs to better leverage proven quantitative techniques for operational efficiency.