Characterize the Economic Burden of Invasive Meningococcal Infection in France Using an Innovative Clustering Method
Author(s)
Antoniali L1, Langevin E2, Baloche A2, Collin C3
1Sanofi, Gentilly, 94, France, 2Sanofi, Lyon, 69, France, 3IQVIA, Courbevoie, Hauts de Seine, France
Presentation Documents
OBJECTIVES: Invasive meningococcal disease (IMD) is a rare but potentially fatal infection that can cause long-term disabilities in survivors. Previous studies have identified people with sequelae using International Classification of Diseases codes; however, this approach only captures a narrow range of potential outcomes. The current study aims to use a clustering method to identify patients who may have sequelae, allowing for a better quantification of the economic burden of IMD over time (up to 12 years following the index date).
METHODS: To describe long-term (3-12 years after index date) healthcare resource use and costs of IMD between 2008 and 2019, a retrospective, case-control, real-world study was conducted using the French National Insurance database (SNDS). To assess the long-term burden of IMD sequelae, a clustering method (K-modes method) was used to identify two distinct patient groups: CARE+ subgroup, which includes those with a care pathway suggesting sequelae; and CARE– subgroup, which includes those without consumption of care. Healthcare resource utilization (HCRU) variables were combined with socioeconomic factors (age and gender) for this purpose.
RESULTS: Cluster analysis identified 23% of IMD patients as CARE+. HRCU was higher in CARE+ patients than in CARE – patients and their associated controls. The average cost per capita for CARE+ patients was higher than that of their controls in the long term: €21,186 versus €6,583 for out-of-hospital costs and €16,532 versus €5,260 for hospital costs, during the long-term follow-up. The additional cost of care for CARE+ patients varied depending on the year of follow-up but was in average 2.2 times higher than for their associated controls.
CONCLUSIONS: This is the first study to use a clustering method to identify patients with higher HRCU, suggesting sequelae. These results are consistent with those reported in the literature, which also highlights the correlation between long-term sequelae of IMD and higher healthcare costs.
Conference/Value in Health Info
Value in Health, Volume 27, Issue 12, S2 (December 2024)
Code
EE612
Topic
Economic Evaluation, Epidemiology & Public Health, Real World Data & Information Systems
Topic Subcategory
Health & Insurance Records Systems
Disease
Infectious Disease (non-vaccine), No Additional Disease & Conditions/Specialized Treatment Areas