Use of Stratified Cascade Learning to predict hospitalization risk with only socioeconomic factors.

Background And Objective: Published models predicting health related outcomes rely on clinical, claims and social determinants of health (SDH) data. Addressing the challenge of predicting with only SDH we developed a novel framework termed Stratified Cascade Learning (SCL) and used it for predicting the risk of hospitalization (ROH).

Materials And Methods: The variable set includes 27 SDH and "age" and "sex" for a cohort of diabetic patients.

Cost effectiveness of long-term treatment with eszopiclone for primary insomnia in adults: a decision analytical model.

Objective: Although the clinical benefits of pharmacological treatments for insomnia have been studied, no systematic assessment of their economic value has been reported. This analysis assessed, from a broad payer and societal perspective, the cost effectiveness of long-term treatment with eszopiclone (LUNESTA, Sepracor Inc., [Marlborough, MA, USA]) for chronic primary insomnia in adults in the US.