Analytical approach for randomized controlled trials may be valuable for understanding the impact of complex care interventions and the subpopulations that may benefit from them.
A short-term emergency department navigator program helped address acute care utilization for individuals with low baseline utilization through primary care follow up appointments and assistance with social needs.
A collaborative interprofessional dementia care program significantly improved the timeliness of diagnosis compared to traditional clinics and achieved high satisfaction rates among staff, patients, and caregivers.
Medicaid enrollees in a community health worker program had fewer emergency department visits and more outpatient ambulatory care use than beneficiaries who received usual care.
Profiles the ONE Health program at Regional One Health in Memphis, Tennessee, which focuses on uninsured individuals and has achieved reductions in emergency department use and inpatient care, resulting in savings to reinvest in care improvements.
Shared practical implementation considerations that can support health plans and provider groups in developing community-based models of care that use the strengths of social workers and community health workers.
State investments in enhanced primary care for older and chronically ill individuals recently released from incarceration yielded a $2.55 return on investment for Medicaid and criminal justice combined.
This study identifies facilitators and barriers of hospital- and community-based harm reduction collaboration efforts and highlights hospital-based opportunities to better serve people who use drugs.
Care management interventions for people transitioning from behavioral health inpatient care may be successful in decreasing readmissions if they address health-related social needs.
Community-based care management programs for patients with complex health and social needs have the potential to reduce hospitalizations and inpatient costs.
Primary care medical home improved use of preventive services, chronic illness care, care experience, psychotic symptoms, and mental health-related quality of life for people with serious mental illness.
Describes a primary care organization’s approach to using machine learning versus provider judgement to assign primary care visit frequency and better identify future risk of hospitalization and medical cost.