Strategic Health Insurance Models for Territorial Equity: Policy Adaptation in Colombia’s Urban and Rural Settings
Author(s)
JUAN C. FERNANDEZ MERCADO, MBA, MSc, PhD, MD1, Nelson Alvis-Guzman, MPH, PhD, MD2.
1UNIVERSIDAD DE CARTAGENA, Cartagena, Colombia, 2Universidad de Cartagena - ALZAK Foundation, Cartagena, Colombia.
1UNIVERSIDAD DE CARTAGENA, Cartagena, Colombia, 2Universidad de Cartagena - ALZAK Foundation, Cartagena, Colombia.
OBJECTIVES: This research aims to propose strategic adaptations to health insurance models in Colombia to address equity challenges across urban, rural, and dispersed rural areas. The goal is to identify flexible models that accommodate demographic and geographic differences while ensuring timely access and financial protection.
METHODS: Comparative policy analysis was performed on health service delivery data from five Colombian departments. Socio-territorial variables (population density, access times, referral patterns) were cross-analyzed with current service delivery models, payment methods, and access outcomes. A needs-based risk stratification tool was also applied.
RESULTS: Urban centers with high population density presented elevated demand concentration and delayed care during high-volume events, despite better infrastructure. Conversely, rural and dispersed rural zones showed low service availability, fragmented access, and unmet needs due to the lack of adaptive contracting and low provider incentives. Implementing modular protocols, differentiated capitation models, and integrated mobile health strategies proved successful in pilot regions.
CONCLUSIONS: A one-size-fits-all insurance model is inadequate for Colombia’s diverse geography. Strategic differentiation by territory—combined with tailored risk-adjusted contracting and mobile service innovation—is key to advancing equity and sustainability. Territorial flexibility must be institutionalized within EPS and IPS frameworks to meet population health needs across regions.
METHODS: Comparative policy analysis was performed on health service delivery data from five Colombian departments. Socio-territorial variables (population density, access times, referral patterns) were cross-analyzed with current service delivery models, payment methods, and access outcomes. A needs-based risk stratification tool was also applied.
RESULTS: Urban centers with high population density presented elevated demand concentration and delayed care during high-volume events, despite better infrastructure. Conversely, rural and dispersed rural zones showed low service availability, fragmented access, and unmet needs due to the lack of adaptive contracting and low provider incentives. Implementing modular protocols, differentiated capitation models, and integrated mobile health strategies proved successful in pilot regions.
CONCLUSIONS: A one-size-fits-all insurance model is inadequate for Colombia’s diverse geography. Strategic differentiation by territory—combined with tailored risk-adjusted contracting and mobile service innovation—is key to advancing equity and sustainability. Territorial flexibility must be institutionalized within EPS and IPS frameworks to meet population health needs across regions.
Conference/Value in Health Info
2025-11, ISPOR Europe 2025, Glasgow, Scotland
Value in Health, Volume 28, Issue S2
Code
HPR191
Topic
Economic Evaluation, Health Policy & Regulatory
Topic Subcategory
Coverage with Evidence Development & Adaptive Pathways, Health Disparities & Equity, Public Spending & National Health Expenditures
Disease
No Additional Disease & Conditions/Specialized Treatment Areas