Publications by authors named "Brian W Powers"

Population-based payment in Medicare Advantage (MA) can foster innovation in care delivery by giving risk-bearing providers flexibility and strong incentives to enhance care and engage patients. This may particularly benefit historically underserved groups for whom payments often exceed costs. In this study, using data from Humana MA plans, we examined "senior-focused" primary care organizations that are supported predominantly by population-based payments in contracts with MA plans.

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Article Synopsis
  • * Predictors of being homebound included female sex, low income or dual eligibility for Medicare and Medicaid, dementia, and moderate to severe frailty.
  • * Homebound individuals had higher odds of emergency department visits, hospital admissions, skilled nursing facility admissions, and mortality compared to non-homebound individuals.
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Importance: High out-of-pocket costs and improper use of maintenance inhalers contribute to poor outcomes among patients with chronic obstructive pulmonary disease (COPD). There is limited evidence for how addressing these barriers could improve adherence and affect COPD exacerbations, spending, or racial disparities in these outcomes.

Objective: To examine the effect of a national program to reduce beneficiary cost sharing for COPD maintenance inhalers and provide medication management services that included education on proper technique for inhaler use.

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Importance: Much of the evidence for bundled payments has been drawn from models in the traditional Medicare program. Although private insurers are increasingly offering bundled payment programs, it is not known whether they are associated with changes in episode spending and quality.

Objective: To evaluate whether a voluntary bundled payment program offered by a national Medicare Advantage insurer was associated with changes in episode spending or quality of care for beneficiaries receiving lower extremity joint replacement (LEJR) surgery.

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Importance: Payers are increasingly using approaches to risk adjustment that incorporate community-level measures of social risk with the goal of better aligning value-based payment models with improvements in health equity.

Objective: To examine the association between community-level social risk and health care spending and explore how incorporating community-level social risk influences risk adjustment for Medicare beneficiaries.

Design, Setting, And Participants: Using data from a Medicare Advantage plan linked with survey data on self-reported social needs, this cross-sectional study estimated health care spending health care spending was estimated as a function of demographics and clinical characteristics, with and without the inclusion of Area Deprivation Index (ADI), a measure of community-level social risk.

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  • * It analyzes claims data from over 2.4 million Medicare beneficiaries from 2017 to 2019, finding that MA enrollees had 9.2% fewer low-value services compared to TM enrollees in 2019.
  • * The research aims to understand how different aspects of insurance design within MA, such as network and product design, affect the delivery of low-value care, highlighting the importance of these elements in healthcare management.
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  • - Medicare beneficiaries with chronic conditions have different health care usage and outcomes, and while this is well understood in Traditional Medicare (TM), less is known about Medicare Advantage (MA) beneficiaries.
  • - This study compares health care utilization between MA and TM beneficiaries with complex care needs, focusing on various cohorts like frail elderly and those with major chronic conditions using claims data from 2017 to 2018.
  • - Results showed that a significant portion of the study population (over 1.8 million beneficiaries) was enrolled in MA, highlighting differences in hospitalization rates and emergency visits between the two groups.
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  • There is a growing emphasis on understanding and solving health-related social needs (HRSNs) to improve health outcomes and guide public policy, especially for older adults in Medicare Advantage.
  • A study was conducted using survey data from Medicare Advantage beneficiaries to examine how self-reported HRSNs, such as food insecurity and financial strain, relate to the use of acute care services throughout 2019.
  • Findings showed that nearly half of the participants reported at least one HRSN, which was linked to significantly higher rates of hospital and emergency department visits, particularly avoidable hospitalizations, indicating a strong need for targeted interventions.
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This cohort study examines the association between the primary care payment model and telemedicine use for Medicare Advantage enrollees during the COVID-19 pandemic.

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Among older adults enrolled in Medicare Advantage, health-related social needs are highly prevalent, with financial strain, food insecurity, and poor housing quality the most commonly reported. The distribution of health-related social needs is uneven, with significant disparities according to race, socioeconomic status, and sex.

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Article Synopsis
  • - The study investigates how value-based payment models impact the quality of acute care among Medicare Advantage beneficiaries.
  • - It focuses on a national population, indicating a broad scope and relevance to healthcare policy.
  • - The cohort design allows for a detailed analysis of the relationship between payment models and healthcare outcomes.
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Background: Comorbidity of psychiatric and medical illnesses among older adult populations is highly prevalent and associated with adverse outcomes. Care management is a common form of outpatient support for both psychiatric and medical conditions in which assessment, care planning, and care coordination are provided. Although care management is often remote and delivered by telephone, the evidence supporting this model of care is uncertain.

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It is likely that 2021 will be a dynamic year for US health care policy. There is pressing need and opportunity for health reform that helps achieve better access, affordability, and equity. In this commentary, which is part of the National Academy of Medicine's Vital Directions for Health and Health Care: Priorities for 2021 initiative, we draw on our collective backgrounds in health financing, delivery, and innovation to offer consensus-based policy recommendations focused on health costs and financing.

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Patients with end-stage renal disease (ESRD) are a vulnerable population with high rates of morbidity, mortality, and acute care use. Medicare Advantage Special Needs Plans (SNPs) are an alternative financing and delivery model designed to improve care and reduce costs for patients with ESRD, but little is known about their impact. We used detailed clinical, demographic, and claims data to identify fee-for-service Medicare beneficiaries who switched to ESRD SNPs offered by a single health plan (SNP enrollees) and similar beneficiaries who remained enrolled in fee-for-service Medicare plans (fee-for-service controls).

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Objectives: Complex care management programs have emerged as a promising model to better care for high-need, high-cost patients. Despite their widespread use, relatively little is known about the impact of these programs in Medicaid populations. This study evaluated the impact of a complex care management program on spending and utilization for high-need, high-cost Medicaid patients.

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Background: Racial inequities for patients with heart failure (HF) have been widely documented. HF patients who receive cardiology care during a hospital admission have better outcomes. It is unknown whether there are differences in admission to a cardiology or general medicine service by race.

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Background: Communication about priorities and goals improves the value of care for patients with serious illnesses. Resource constraints necessitate targeting interventions to patients who need them most.

Objective: To evaluate the effectiveness of a clinician screening tool to identify patients for a communication intervention.

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Background: Efforts to improve the value of care for high-cost patients may benefit from care management strategies targeted at clinically distinct subgroups of patients.

Objective: To evaluate the performance of three different machine learning algorithms for identifying subgroups of high-cost patients.

Design: We applied three different clustering algorithms-connectivity-based clustering using agglomerative hierarchical clustering, centroid-based clustering with the k-medoids algorithm, and density-based clustering with the OPTICS algorithm-to a clinical and administrative dataset.

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Background: There is a growing focus on improving the quality and value of health care delivery for high-cost patients. Compared to fee-for-service Medicare, less is known about the clinical composition of high-cost Medicare Advantage populations.

Objective: To describe a high-cost Medicare Advantage population and identify clinically and operationally significant subgroups of patients.

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