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Outcome based state budget allocation for diabetes prevention programs using multi-criteria optimization with robust

Sanjay Mehrotra¹, Kibaek Kim

¹Industrial Engineering and Management Science, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208, USA. mehrotra@iems.northwestern.edu

Health Care Management Science

|June 16, 2011

Summary

This summary is machine-generated.

This study suggests that budget allocations for chronic disease prevention programs, like the Diabetes Prevention and Control Programs (DPCP), should be model-based to improve healthcare equity. Findings indicate that increased funding for diabetes education and patient-provider interaction can reduce disparities across the US.

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Area of Science:

Health Services Research
Public Health Policy
Operations Research

Background:

Geographical healthcare disparities persist in the US, particularly for chronic diseases.
Existing budget allocation models for prevention programs may not optimize for equitable outcomes.
The Center for Disease Control and Prevention's (CDC) Diabetes Prevention and Control Programs (DPCP) serve as a case study for budget allocation.

Purpose of the Study:

To develop and apply a multi-criteria decision-making model for outcomes-based budget allocations.
To analyze the CDC's 2009 budget allocation for DPCPs to assess its methodology.
To identify factors influencing budget allocation and propose improvements for greater healthcare equity.

Main Methods:

A multi-criteria robust weighted sum model was developed for group decision-making.
Principal Component Analysis (PCA) and inverse linear programming were employed.
Empirical analysis of the CDC's 2009 DPCP budget allocation was conducted.

Main Results:

The CDC's 2009 budget allocation process for DPCPs did not appear to be model-based.
Analysis revealed relative weights for prevalence and comorbidity factors influencing budget distribution.
Parametric analysis identified key areas for improved allocation to reduce disparities.

Conclusions:

Budget allocation for chronic disease prevention programs should adopt a model-based approach to enhance geographical healthcare equity.
Increased investment in diabetes education and patient-healthcare provider interactions is recommended.
Optimized budget allocation can effectively reduce health disparities across the United States.