Causal inference is a broad field that seeks to build and apply models that learn the effect of
interventions on outcomes using many data types. While the field has existed for decades …

People with serious mental illness (SMI) have mortality rates 2–3-times higher than the
general population, mostly driven by physical health conditions. Behavioural health homes …

People with serious mental illness die 10–20 years earlier, compared with the overall
population, and the excess mortality is driven by undertreated physical health conditions. In …

Objectives: Patients experiencing homelessness (PEH) with serious mental illness (SMI)
have poor satisfaction with primary care. We assessed if primary care teams tailored for …

Background. Black and Latino minorities have traditionally had poorer access to primary
care than non-Latino Whites, but these patterns could change with the Affordable Care Act …

Objective: This systematic review examined the impact of health homes on cardiometabolic
risk among adults with serious mental illness. Methods: The Preferred Reporting Items for …

Persons with serious mental illness (SMI) comprise a high-risk group for cardiovascular
disease (CVD)-related mortality with rates at least twice those of the overall US. Potentially …

Interprofessional care and consumer-oriented services are embodied in modern healthcare
policy and practice. The views, needs, and values of consumers are essential to ensuring …

Behavioral health homes, shown to improve receipt of evidence-based medical services
among people with serious mental illness in randomized clinical trials, have had limited …

Objective: The authors sought to update and expand the evidence on the quality of health
care and disparities in care among Medicaid beneficiaries with schizophrenia. Methods …