Easy to Use and Validated Predictive Models to Identify Beneficiaries Experiencing Homelessness in Medicaid Administrative Data.

Large samples can be used to accurately predict homelessness in Medicaid administrative data if a validated homelessness indicator for a small subset can be obtained. In the absences of a validated indicator, likelihood of homelessness can be calculated using county rate of homelessness, address- and claim-based indicators, and beneficiary age using a prediction model presented here. These approaches are needed given the rising prevalence of homelessness and focus of Medicaid and other payers on addressing homelessness and its outcomes.