This description and application of a valid and reliable measure of equity of inpatient hospital experiences can help hospitals collect better data to meaningfully promote high-quality equitable care.

One health plan’s approach to addressing racial and ethnic disparities in medication adherence rates offers insights on levers to address racial inequities.

Black caregivers of people with dementia share their perspectives on a care coordination intervention.

Medicare beneficiaries with dementia, especially Black and Hispanic patients, often receive poor quality end-of-life care.

Peer support specialists can link patients with substance use disorders to treatment, but this study showed disparate outcomes for how one program impacted access to care for Black and white patients.

Health insurers can implement strategies to address bias in machine learning and predictive modeling used in care management to help reduce health inequities and racial disparities.

Recommendations for how managed long-term services and supports plans can better raise awareness of and increase support for family caregivers.

Advancing more equitable access to telehealth may require care coordination strategies deployed alongside telehealth.

Trust, flexible funding, cross-sector support, sustainability, and an explicit focus on structural racism are identified as key components of effective community engagement to advance health equity.

Offers practical recommendations to improve telemedicine interventions to be more equitable for diverse populations, particularly those with low incomes.

Includes patient- and staff-reported measures to help complex care programs better understand the impacts of interventions.

Representatives from Medicaid health plans offer recommendations for effective member and community engagement.

Health care organizations can use population-level data sources about the experiences of people with disabilities to improve care.

The value of community health workers in advancing health equity.

When identifying patients with complex health needs for interventions, algorithms that rely on cost data as a proxy for health status may lead to under-identification of Black patients.