Designing hierarchical networks to improve patient access to care: a case study in veteran eye care. (October 2022)

• Record Type: Journal Article
• Authors: VanDeusen, Adam; Cohn, Amy; Maa, April
• Is Part Of: Journal of defense modeling and simulation. Volume 19:Number 4(2022)
• Page Start: 679
• Page End: 689
• Publication Date: 2022-10
• Subjects: access -- health services research -- integer programming -- ophthalmology -- operations research; Military art and science -- Computer simulation -- Periodicals; 355.0011305
• DOI: 10.1177/15485129211021167
• Languages: English
• ISSNs: 1548-5129

Abstract

Across the United States, many patients, including veteran patients, face barriers in accessing appropriate, timely, and affordable healthcare. When developing or modifying healthcare systems to improve patient access, we can consider strategies (e.g., telehealth) in which lower-cost, more abundant resources are used for services often performed with more constrained and/or more expensive, specialized resources. We propose a framework in which hierarchical care networks allow patients to receive frontline care from lower cost, more accessible alternatives, while specialized resources are reserved for more complex care. We use operations research tools, including mixed-integer programming and facility location models, to design and analyze these networks. We present a case study applying these methods to improve veterans' access to eye care screenings. The case study results demonstrate that using different providers in locations throughout the system can increase the number of patients screened by nearly four times the number currently screened while increasing the budget by only 2.5%. When designing healthcare networks to improve access, decision makers must consider several trade-offs, including how resources are distributed. Operations research tools are effective methods for understanding, designing, and evaluating these trade-offs to best understand the wide-ranging impacts of resource (re)distribution.