This paper presents an annotation scheme developed to analyze linguisticaccessibility and inclusivity in Italian cancer-related informational materials.The scheme combines metadata annotation, qualitative analysis of textual andvisual features, and automatically extracted measures of linguistic complexitycapturing structural, lexical, and probabilistic properties of the texts. Abrief case study demonstrates how the proposed framework can be applied tocompare documents and identify different sources of linguistic difficulty. Theapproach provides a replicable methodological basis for large-scale analyses ofhealth communication materials.