EURO 2024 Copenhagen
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1799. Optimising Resource Allocation for a Cervical Cancer Screening Program

Invited abstract in session WC-10: Capacity and treatment planning in healthcare, stream OR in Health Services (ORAHS).

Wednesday, 12:30-14:00
Room: 11 (building: 116)

Authors (first author is the speaker)

1. Francisco Ballestin
Matematicas para la Economia, Universidad de Valencia
2. M. Angeles Pérez
Mathematics for Ecomomy, University of Valencia
3. Sacramento Quintanilla
Matemáticas para la Economía y la Empresa, University of Valencia
4. Javier Villena
Universidad de Valencia

Abstract

Cervical cancer, responsible for over 300,000 deaths in 2020, ranks as the fourth most common cancer. In 2018, the World Health Organization introduced a strategy to partially eradicate it, emphasizing national screening programs to identify the human papillomavirus (HPV), the primary risk factor. A region in Spain have planned to implement comprehensive population-wide screening. This study examines optimization challenges within this program, including HPV detection tests and cytology screenings. While HPV tests are conducted in hospitals, samples and cytologies are collected at community health centers (CHCs) or homes. Midwives at CHCs may need additional hours to attend to patients. Critical resources in this program are the machines in hospitals to process the tests and the midwives. The optimization problem can be modeled in three phases. The first phase selects the hospitals to process the tests, assigns each CHC to a hospital, and calculates the extra cost of midwives in each CHC. The second phase determines the number of tests each CHC sends weekly to their hospital and establishes the program's start and end dates in each CHC. Finally, the third phase calculates how many patients to contact weekly in each CHC to meet the conditions of the second phase. Computational tests using real data validate the models.

Keywords

Status: accepted

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