Use of hospital readmission rates to measure quality may be unfair for some accountable care organizations and safety-net providers, since members with complex medical and social needs are a main driver of these rates.
Primary care and alternative payment models that reduce emergency department use and increase access to care for high-need populations share core components for success.
Use of machine learning clustering algorithms revealed 30 distinct subgroups of patients among high-risk veterans, indicating a need for tailored approaches to health care.
Many physicians report low confidence in caring for patients with disability and negative perceptions about quality of life with a disability, which may reflect biased views that potentially contribute to persistent health disparities.
Suggests that community-based organizations are responding to Medicaid redesign efforts that prioritize social determinants of health by adopting practices similar to health care organizations.
Offers a practical framework for safety-net health systems to better identify and segment patients with complex needs, and tailor care models to meet their needs.
Contains strategies, tips, and case studies to assist health care stakeholders in building meaningful, person-centered engagement in their organizations.
Examines promising strategies to meet the needs of dually eligible individuals with serious mental illness, with an emphasis on opportunities to innovate with flexible spending within a capitated payment model.
Details how dually enrolled beneficiaries have significantly higher levels of comorbidities and higher costs of care than their non-dually enrolled counterparts.
Describes core competencies that convey the essential knowledge, skills, and attitudes of complex care practitioners and teams to improve care for people with complex needs.