UNSPSC 85413801: The diagnosis of dyslexia and alexia

In this classification, this covers the group of activities that yields a diagnosis of dyslexia and alexia. Dyslexia and alexia is listed In The World Health Organization's International Statistical Classification of Diseases and Related Health Problems (ICD-10) as a four-character category under code R48.0.

UNSPSC 85413801, The diagnosis of dyslexia and alexia (Commodity), does not see recent state and local procurement activity aligned with its nominal scope. The single relevant opportunity in the dataset is Birdville Independent School District's special education contracted services solicitation (RFP 01027, due October 21, 2026), which includes a dyslexia evaluator among 23 line-item service categories; however, the code is tagged to three diagnostic and staffing opportunities that address medical imaging systems, temporary health professional staffing pools, and general special education services—none of which reflect direct procurement of dyslexia or alexia diagnostic assessment services as standalone commodities. The dataset shows no state or local RFP, RFQ, IFB, or ITB dedicated to dyslexia diagnosis delivery, screening tools, assessment instruments, or related evaluation services that would map squarely to this code's intended scope.

The BISD opportunity frames dyslexia evaluation as one contract line item within a broader as-needed special education services framework spanning audiologists, speech language therapists, occupational therapists, and other allied health roles across 30 campuses serving 24,300 students, with an estimated 2025–2026 cost of $398,494.30 across all 23 line items combined and a December 1, 2026 through November 30, 2027 term. This suggests school districts may occasionally bundle dyslexia evaluation within larger special education staffing vehicles rather than procure it as a distinct commodity. Geographic activity is confined to Texas (BISD in northeast Tarrant County) and California (San Mateo and Santa Clara counties) within the available dataset, with no multi-state or national pattern evident for this code category.