全球智库信息集成服务系统

Medicaid programs are increasingly adopting initiatives such as targeted case management and risk adjustment of performance benchmarks that require the prospective stratification of patients into clinically distinct subgroups. This brief discusses the potential for a short, self-reported Health Needs Assessment (HNA) screener to perform this stratification when other more comprehensive data, such as billing records culled from medical claims databases, are unavailable. Using administrative data from Wisconsin paired with nationally representative survey data, we find that HNAs meet established statistical thresholds for predictive modeling and can be used to prospectively identify Medicaid-eligible low-income adults with elevated health care needs.