2.2 Secondary Synthesis Protocols and Evaluative Criteria
This study establishes a rigorous methodological framework to evaluate how statutory coverage reforms influence specialist consultation patterns across stratified demographic cohorts. Because financial entitlements alone do not guarantee clinical access, the analytical strategy synthesizes econometrically grounded utilization modeling with structural pathway analysis. Following empirical specifications utilized in recent evaluations of compulsory schemes, multinomial logistic regression models serve to capture polytomous healthcare-seeking behaviors, identifying whether insurance mandates independently alter the likelihood of consulting specialist physicians versus general practitioners or foregoing care entirely (Mandatory Health Insurance in Togo, 2022). This secondary econometric stratification controls for household wealth indices, regional disparities, and urban-rural residential divides to isolate policy effects from structural supply constraints. To address the unobserved mechanisms that mediate referral pathways, the design incorporates decomposition modeling of informal healthcare ties. In universal and mandatory systems, administrative barriers and gatekeeping bottlenecks frequently incentivize individuals to mobilize personal networks inside the health sector. By adopting Karlson-Holm-Breen pathway decomposition methods, the framework evaluates whether socioeconomic advantages in specialist access operate directly or are mediated through healthcare-specific social capital (Informal Access to Specialist Care, 2026). Integrating county or regional fixed effects further controls for unobserved geographic heterogeneity in local specialist provision and institutional capacity. This combined methodological protocol enables the systematic disentanglement of formal financial entitlement effects from informal navigation networks, providing a robust empirical basis for assessing equity in secondary medical consultations across diverse statutory environments.