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Dual-eligible beneficiaries have insurance through two distinct and uncoordinated programs: Medicaid, which pays for long-term care; and Medicare, which pays for medical care, including hospital stays. Concern that this system leads to poor quality and inefficient care, particularly for dual-eligible nursing home residents, has led policy makers to test managed care plans that provide incentives for coordinating care across Medicare and Medicaid. We examined enrollment in three such plans among dual-eligible beneficiaries receiving long-term nursing home care. Two of those plans, Medicare-Medicaid plans and Fully Integrated Dual Eligible Special Needs Plans, are integrated care plans that establish a global budget including Medicare and Medicaid spending. The third, Institutional Special Needs Plans, puts insurers and nursing homes at risk for Medicare spending but not Medicaid spending. Among dual-eligible nursing home residents, enrollment in these plans increased from 6.5 percent of residents per month in 2013 to 16.9 percent in 2020. Enrollment varied across counties but did not vary appreciably with respect to nursing home characteristics, including the share of residents with Medicaid. As policy makers pursue strategies to coordinate medical and long-term care for dual-eligible beneficiaries, it remains critical to evaluate how these plans influence the care of dual-eligible nursing home residents.

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Importance: Treating low back pain (LBP) often involves a combination of pharmacologic, nonpharmacologic, and interventional treatments; one approach is acupuncture therapy, which is safe, effective, and cost-effective. How acupuncture is used within pain care regimens for LBP has not been widely studied. Objective: To document trends in reimbursed acupuncture between 2010 and 2019 among a large sample of patients with LBP, focusing on demographic, socioeconomic, and clinical characteristics associated with acupuncture use and the nonpharmacologic, pharmacologic, and interventional treatments used by patients who utilize acupuncture. Design, Setting, and Participants: This cross-sectional study included insurance claims of US adults in a deidentified database. The study sample included patients diagnosed with LBP between 2010 and 2019. Data were analyzed between September 2023 and June 2024. Main Outcomes and Measures: Changes in rates of reimbursed acupuncture utilization between 2010 and 2019, including electroacupuncture use, which involves the electrical stimulation of acupuncture needles. Covariates included age, sex, race and ethnicity, income, educational attainment, region, and a chronic LBP indicator. Secondary analyses tracked other nonpharmacologic treatments (eg, physical therapy, chiropractic care), pharmacologic treatments (eg, opioids, gabapentinoids), and interventional treatments (eg, epidural steroid injections). Results: The total sample included 6 840 497 adults with LBP (mean [SD] age, 54.6 [17.8] years; 3 916 766 female [57.3%]; 802 579 Hispanic [11.7%], 258 087 non-Hispanic Asian [3.8%], 804 975 non-Hispanic Black [11.8%], 4 974 856 non-Hispanic White [72.7%]). Overall, 106 485 (1.6%) had 1 or more acupuncture claim, while 61 503 (0.9%) had 1 or more electroacupuncture claim. The rate of acupuncture utilization increased consistently, from 0.9% in 2010 to 1.6% in 2019; electroacupuncture rates were relatively stable. Patients who were female (male: odds ratio [OR], 0.68; 99% CI, 0.67-0.70), Asian (OR, 3.26; 99% CI, 3.18-3.35), residing in the Pacific region (New England: OR, 0.26; 99% CI, 0.25-0.28), earning incomes of over $100 000 (incomes less than $40 000: OR, 0.59; 99% CI, 0.57-0.61), college educated (high school or less: OR, 0.32; 99% CI, 0.27-0.35), and with chronic LBP (OR, 2.39; 99% CI, 2.35-2.43) were more likely to utilize acupuncture. Acupuncture users were more likely to engage in other nonpharmacologic pain care like physical therapy (39.2%; 99% CI, 38.9%-39.5% vs 29.3%; 99% CI, 29.3%-29.3%) and less likely to utilize prescription drugs, including opioids (41.4%; 99% CI, 41.1%-41.8% vs 52.5%; 99% CI, 52.4%-52.5%), compared with nonusers. Conclusions and Relevance: In this cross-sectional study, we found that acupuncture utilization among patients with LBP was rare but increased over time. Demographic, socioeconomic, and clinical characteristics were associated with acupuncture utilization, and acupuncture users were more likely to utilize other nonpharmacologic treatments and less likely to utilize pharmacologic treatments.

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OBJECTIVES: We sought to describe national trends in hospitalization and post-acute care utilization rates in skilled nursing facilities (SNFs) and home health (HH) for both Medicare Advantage (MA) and Traditional Medicare (TM) beneficiaries, reaching up to the COVID-19 pandemic (2015-2019). DESIGN: Retrospective, observational using 100% sample of Medicare Provider Analysis and Review file (MedPAR), the Medicare Beneficiary Summary File, the Minimum Data Set (MDS), and the Outcome and Assessment Information Set (OASIS). SETTING AND PARTICIPANTS: Medicare beneficiaries aged 66 and older enrolled in MA or TM who were hospitalized and discharged alive. METHODS: We first calculated the proportions of MA and TM beneficiaries who were hospitalized and who used any post-acute care, as well as the total number of days of post-acute care used. We also calculated the size of the post-acute care network used by TM and MA beneficiaries within each hospital in our sample and the measured quality (star ratings) of the post-acute care providers used. RESULTS: We found hospitalizations, SNF stays, and HH stays were all decreasing over time in both populations. Although similar proportions of MA and TM beneficiaries received SNF or HH care, MA beneficiaries received fewer days. The largest difference we found was in the number of post-acute care providers used in TM and MA, with MA using far fewer; however, quality ratings were similar among post-acute care providers used in each program. CONCLUSIONS AND IMPLICATIONS: Together, these results suggest MA beneficiaries have fewer days in post-acute care, receive care from fewer providers of similar measured quality to TM, but have a similar number of days outside the hospital or SNF in the first 100 days after hospital discharge.

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BACKGROUND: Efforts to increase transparency and accountability of nursing homes, and thus improve quality, now include information about changes in nursing home ownership. However, little is known about how change in ownership affects nursing home quality. METHODS: We conducted a retrospective cohort study of 15,471 U.S. nursing homes between January 2016 and December 2022, identifying all changes in ownership during that period. We used logistic regression to measure the association between nursing home characteristics and the odds of a change in ownership. A difference-in-differences model with multiple time periods was used to examine the impact of a change in ownership on the Medicare Nursing Home Compare 5-star ratings. RESULTS: One in five (23%) facilities changed ownership between 2016 and 2022. Nursing homes that were urban, for-profit, part of a chain, located in the South, had >50 beds, lower occupancy, higher percentage of stays covered by Medicaid, higher percentage of residents with non-white race, or a 1-star (poor) rating were more likely to undergo a change in ownership. There was a small statistically significant decrease in 5-star ratings after a change in ownership (-0.09 points on a 5-point scale; 95% CI -0.13 to -0.04; p < 0.001), driven primarily by a decrease in staffing ratings (-0.19 points; 95% CI -0.24 to -0.14; p < 0.001), and health inspections ratings (-0.07 points; 95% CI -0.11 to -0.03; p = 0.001). This was mitigated by an increase in quality measure ratings (0.15 points; 95% CI 0.10-0.20; p < 0.001). CONCLUSION: Nursing Home Compare ratings decreased slightly after a change in facility ownership, driven by lower staffing and health inspection ratings and mitigated somewhat by higher quality measure ratings. These conflicting trends underscore the need for transparency around changes in facility ownership and a better understanding of consequences of changes in ownership that are salient to patients and families.

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OBJECTIVE: Medicaid-funded long-term services and supports are increasingly provided through home- and community-based services (HCBS) to promote continued community living. While an emerging body of evidence examines the direct benefits and costs of HCBS, there may also be unexplored synergies with Medicare-funded post-acute care (PAC). This study aimed to provide empirical evidence on how the use of Medicaid HCBS influences Medicare PAC utilization among the dually enrolled. DATA SOURCES: National Medicare claims, Medicaid claims, nursing home assessment data, and home health assessment data from 2016 to 2018. STUDY DESIGN: We estimated the relationship between prior Medicaid HCBS use and PAC (skilled nursing facilities [SNF] or home health) utilization in a national sample of duals with qualifying index hospitalizations. We used inverse probability weights to create balanced samples on observed characteristics and estimated multivariable regression with hospital fixed effects and extensive controls. We also conducted stratified analyses for key subgroups. DATA EXTRACTION METHODS: The primary sample included 887,598 hospital discharges from community-dwelling duals who had an eligible index hospitalization between April 1, 2016, and September 30, 2018. PRINCIPAL FINDINGS: We found HCBS use was associated with a 9 percentage-point increase in the use of home health relative to SNF, conditional on using PAC, and a meaningful reduction in length of stay for those using SNF. In addition, in our primary sample, we found HCBS use to be associated with an overall increase in PAC use, given that the absolute increase in home health use was larger than the absolute decrease in SNF use. In other words, the use of Medicaid-funded HCBS was associated with a shift in Medicare-funded PAC use toward home-based settings. CONCLUSION: Our findings indicate potential synergies between Medicaid-funded HCBS and increased use of home-based PAC, suggesting policymakers should cautiously consider these dynamics in HCBS expansion efforts.

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This cross-sectional study compares the use of telemedicine in states where COVID-19 pandemic­related licensure waivers expired vs states where waivers continued.

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We sought to explore the heterogeneity among patients hospitalized with pneumonia, a condition targeted in payment reform. In a retrospective cohort study of Medicare beneficiaries hospitalized for pneumonia, we compared postacute care utilization and costs of 90-day episodes of care among patients with and without comorbidities of chronic obstructive pulmonary disease (COPD) and/or heart failure. Of the 1,926,674 discharges, 28.1% had COPD, 14.3% had heart failure, and 14.6% carried both diagnoses. Patients with pneumonia were more likely to be discharged to a facility than those with pneumonia and COPD with or without heart failure, though less likely than those with pneumonia and heart failure only. Compared to patients with pneumonia only, patients with COPD and/or heart failure had higher episode payments. Acute conditions such as pneumonia may hold promise for episode-based care payment reform; however, the heterogeneity within this diagnosis indicates the need to consider other patient characteristics in interventions to improve value-based care.

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Nursing homes serve both long-term care and post-acute care (PAC) patients, two groups with distinct financing mechanisms and requirements for care. We examine empirically the effect of nursing home specialization in PAC using 2011-2018 data for Medicare patients admitted to nursing homes following a hospital stay. To address patient selection into specialized nursing homes, we use an instrumental variables approach that exploits variation over time in the distance from the patient's residential ZIP code to the closest nursing home with different levels of PAC specialization. We find that patients admitted to nursing homes more specialized in PAC have lower hospital readmissions and mortality, longer nursing home stays, and higher Medicare spending for the episode of care, suggesting that specialization improves patient outcomes but at higher costs.

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BACKGROUND: Few researchers receive formal training in research translation and dissemination or policy engagement. We created Amplify@LDI, a training program for health services and health policy researchers, to equip them with skills to increase the visibility of their research through translation and dissemination activities. AIMS: To describe the program's participants and curriculum, and evaluate the first 2 years of the program. SETTING: The Leonard Davis Institute (LDI) at the University of Pennsylvania (Penn). PARTICIPANTS: An annual cohort of 12 LDI Senior Fellows (Penn faculty) from multiple schools, disciplines, and ranks at Penn. PROGRAM DESCRIPTION: The Amplify@LDI curriculum includes 6 sessions on different aspects of research translation and dissemination, including media and social engagement, writing Op-Eds, and policy engagement. PROGRAM EVALUATION: Participants reported measurable increases in time spent on translation and dissemination activities, as well as new enthusiasm for and confidence in policy engagement. Participants' reach (as measured by Altmetric) increased during the program, compared to smaller increases or reductions in reach for two comparator groups. DISCUSSION: In our preliminary evaluation of Amplify@LDI, we find strong evidence of positive impact from participant evaluations, and suggestive evidence that participation in the program is associated with significant increases in the reach of their research.

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Background Accountable care organizations (ACOs) aim to improve health care quality and reduce costs, including among patients with heart failure (HF). However, variation across ACOs in admission rates for patients with HF and associated factors are not well described. Methods and Results We identified Medicare fee-for-service beneficiaries with HF who were assigned to a Medicare Shared Savings Program ACO in 2017 and survived ≥30 days into 2018. We calculated risk-standardized acute admission rates across ACOs, assigned ACOs to 1 of 3 performance categories, and examined associations between ACO characteristics and performance categories. Among 1 232 222 beneficiaries with HF, 283 795 (mean age, 81 years; 54% women; 86% White; 78% urban) were assigned to 1 of 467 Medicare Shared Savings Program ACOs. Across ACOs, the median risk-standardized acute admission rate was 87 admissions per 100 people, ranging from 61 (minimum) to 109 (maximum) admissions per 100 beneficiaries. Compared to the overall average, 13% of ACOs performed better on risk-standardized acute admission rates, 72% were no different, and 14% performed worse. Most ACOs with better performance had fewer Black beneficiaries and were not hospital affiliated. Most ACOs that performed worse than average were large, located in the Northeast, had a hospital affiliation, and had a lower proportion of primary care providers. Conclusions Admissions are common among beneficiaries with HF in ACOs, and there is variation in risk-standardized acute admission rates across ACOs. ACO performance was associated with certain ACO characteristics. Future studies should attempt to elucidate the relationship between ACO structure and characteristics and admission risk.

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BACKGROUND: Cirrhosis care and outcomes are improved with access to subspecialty gastroenterology and hepatology care. In qualitative interviews, we investigated clinicians' perceptions of factors that optimize or impede cirrhosis care. METHODS: We conducted 24 telephone interviews with subspecialty clinicians at 7 Veterans Affairs medical centers with high- and low-complexity services. Purposive sampling stratified Veterans Affairs medical centers on timely post-hospitalization follow-up, a quality measure. We asked open-ended questions about facilitators and barriers of care coordination, access to appointments, procedures, transplantation, management of complications, keeping up to date with medical knowledge, and telehealth use. RESULTS: Key themes that facilitated care were structural: multidisciplinary teams, clinical dashboards, mechanisms for appointment tracking and reminders, and local or virtual access to transplant and liver cancer specialists through the "specialty care access network extension for community health care outcomes" program. Coordination and efficient communication between transplant and non-transplant specialists and between transplant and primary care facilitated timely care. Same-day access to laboratory, procedural, and clinical services is an indicator of high-quality care. Barriers included lack of on-site procedural services, clinician turnover, patient social needs related to transportation, costs, and patient forgetfulness due to HE. Telehealth enabled lower complexity sites to obtain recommendations for complex patient cases. Barriers to telehealth included lack of credit (eg, VA billing equivalent), inadequate staff, lack of audiovisual technology support, and patient and staff discomfort with technology. Telehealth was optimal for return visits, cases where physical examination was nonessential, and where distance and transportation precluded in-person care. Rapid telehealth uptake during the COVID-19 pandemic was a positive disruptor and facilitated use. CONCLUSIONS: We identify multi-level factors related to structure, staffing, technology, and care organization to optimize cirrhosis care delivery.

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BACKGROUND: Unmet care needs among older adults accelerate cognitive and functional decline and increase medical harms, leading to poorer quality of life, more frequent hospitalizations, and premature nursing home admission. The Department of Veterans Affairs (VA) is invested in becoming an "Age-Friendly Health System" to better address four tenets associated with reduced harm and improved outcomes among the 4 million Veterans aged 65 and over receiving VA care. These four tenets focus on "4Ms" that are fundamental to the care of older adults, including (1) what Matters (ensuring that care is consistent with each person's goals and preferences); (2) Medications (only using necessary medications and ensuring that they do not interfere with what matters, mobility, or mentation); (3) Mentation (preventing, identifying, treating, and managing dementia, depression, and delirium); and (4) Mobility (promoting safe movement to maintain function and independence). The Safer Aging through Geriatrics-Informed Evidence-Based Practices (SAGE) Quality Enhancement Research Initiative (QUERI) seeks to implement four evidence-based practices (EBPs) that have shown efficacy in addressing these core tenets of an "Age-Friendly Health System," leading to reduced harm and improved outcomes in older adults. METHODS: We will implement four EBPs in 9 VA medical centers and associated outpatient clinics using a type III hybrid effectiveness-implementation stepped-wedge trial design. We selected four EBPs that align with Age-Friendly Health System principles: Surgical Pause, EMPOWER (Eliminating Medications Through Patient Ownership of End Results), TAP (Tailored Activities Program), and CAPABLE (Community Aging in Place - Advancing Better Living for Elders). Guided by the Pragmatic Robust Implementation and Sustainability Model (PRISM), we are comparing implementation as usual vs. active facilitation. Reach is our primary implementation outcome, while "facility-free days" is our primary effectiveness outcome across evidence-based practice interventions. DISCUSSION: To our knowledge, this is the first large-scale randomized effort to implement "Age-Friendly" aligned evidence-based practices. Understanding the barriers and facilitators to implementing these evidence-based practices is essential to successfully help shift current healthcare systems to become Age-Friendly. Effective implementation of this project will improve the care and outcomes of older Veterans and help them age safely within their communities. TRIAL REGISTRATION: Registered 05 May 2021, at ISRCTN #60,657,985. REPORTING GUIDELINES: Standards for Reporting Implementation Studies (see attached).

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Home and community-based services (HCBS) are the predominant approach to delivering long-term services and supports in the US, but there are growing numbers of reports of worker shortages in this industry. Medicaid, the primary payer for long-term services and supports, has expanded HCBS coverage, resulting in a shift in the services' provision out of institutions and into homes. Yet it is unknown whether home care workforce growth has kept up with the increased use of these services. Using data from the American Community Survey and the Henry J. Kaiser Family Foundation, we compared trends in the size of the home care workforce with data on Medicaid HCBS participation between 2008 and 2020. The home care workforce grew from approximately 840,000 to 1.22 million workers between 2008 and 2013. After 2013, growth slowed, ultimately reaching 1.42 million workers in 2019. In contrast, the number of Medicaid HCBS participants grew continuously from 2008 to 2020, with accelerated growth between 2013 and 2020. As a consequence, the number of home care workers per 100 HCBS participants declined by 11.6 percent between 2013 and 2019, with preliminary estimates suggesting that further declines occurred in 2020. Improving access to HCBS will require not just expanded insurance coverage but also new workforce investments.

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Importance: Nursing homes play a vital role in providing postacute and long-term care for individuals whose needs cannot be met in the home or community. Whether the supply of nursing home beds and, specifically, the supply of high-quality beds has kept pace with the growth of the older adult population is unknown. Objective: To describe changes in the supply of population-adjusted nursing home beds from 2011 to 2019. Design, Setting, and Participants: This cross-sectional study examines changes in the population-adjusted supply of nursing home beds across all US counties from 2011 to 2019 and describes county and nursing home characteristics where the supply of nursing home beds has increased vs decreased. Main Outcomes and Measures: Number of nursing home beds adjusted per 10 000 adults aged 65 years and older. Results: The population-adjusted supply of nursing home beds declined from 2011 to 2019 for 86.4% of US counties, by a mean (SD) of 129.9 (123.8) beds per 10 000 adults aged 65 years or older per county from a baseline mean (SD) of 552.5 (274.4) beds per 10 000 adults aged 65 years or older per county in 2011. The share of beds that were high quality (4- or 5-star ratings) also declined, which was driven by a small number of counties where nursing home bed supply increased due to a proliferation of lower-quality beds. Simultaneously, metropolitan counties with declining numbers of nursing home beds also experienced declining number of senior housing residential beds (-11.3 [54.6] beds per 10 000 adults aged 65 years or older per county from a baseline mean [SD] of 354.8 [222.3]). Conclusions and Relevance: The findings of this cross-sectional study suggest that the supply of nursing home beds, specifically high-quality nursing home beds, and senior residential housing beds have not kept pace with the demographics of an aging population. Understanding the supply of high-quality nursing home beds and associated geographic variation can inform targeted policies to best support older adults requiring nursing home care.

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Importance: Individuals with Alzheimer disease and related dementias (ADRD) frequently require skilled nursing facility (SNF) care following hospitalization. Despite lower SNF incentives to care for the ADRD population, knowledge on how the quality of SNF care differs for those with vs without ADRD is limited. Objective: To examine whether persons with ADRD are systematically admitted to lower-quality SNFs. Design, Setting, and Participants: Cross-sectional analysis of Medicare beneficiaries hospitalized between January 1, 2017, and December 31, 2019, was conducted. Data analysis was performed from January 15 to May 30, 2022. Participants were discharged to a Medicare-certified SNF from a general acute hospital. Patients younger than 65 years, enrolled in Medicare Advantage, and with prior SNF or long-term nursing home use within 1 year of hospitalization were excluded. Exposures: The quality level of all SNFs available at the patient's discharge, measured using publicly reported 5-star staffing ratings. The 5-star ratings were grouped into 3 levels (1-2 stars [reference category, low-quality], 3 stars [average-quality], and 4-5 stars [high-quality]). Main Outcomes and Measures: The outcome was the SNF a patient entered among the possible SNF destinations available at discharge. Differences in the association between SNF quality and SNF entry for patients with and without ADRD were assessed using a conditional logit model, which simultaneously controls for differences in discharging hospital, residential neighborhood, and the other characteristics (eg, postacute care specialization) of all SNFs available at discharge. Results: The sample included 2 619 464 patients (mean [SD] age, 81.3 [8.6] years; 61% women; 87% were White; 8% were Black; 22% with ADRD). The probability of discharge to higher quality SNFs was lower for patients with ADRD. If the star rating of an SNF was high instead of low, the log-odds of being discharged to it increased by 0.31 for patients with ADRD and by 0.47 for those without ADRD (difference, -0.16; P < .001). The weaker association between quality and entry for patients with ADRD indicates that they are less likely to be discharged to high-quality SNFs. Conclusions and Relevance: The findings of this study suggest that patients with ADRD are more likely to be discharged to lower-quality SNFs. Targeted reforms, such as ADRD-specific compensation adjustments, may be needed to improve access to better SNFs for patients with ADRD.

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OBJECTIVE: Racial and ethnic minority enrollees in Medicare Advantage (MA) plans tend to be in lower-quality plans, measured by a 5-star quality rating system. We examine whether differential access to high-rated plans was associated with this differential enrollment in high-rated plans by race and ethnicity among MA enrollees. DATA SOURCES: The Medicare Master Beneficiary Summary File and MA Landscape File for 2016. STUDY DESIGN: We first examined county-level MA plan offerings by race and ethnicity. We then examined the association of racial and ethnic differences in enrollment by star rating by controlling for the following different sets of covariates: (1) individual-level characteristics only, and (2) individual-level characteristics and county-level MA plan offerings. DATA COLLECTION/EXTRACTION METHODS: Not applicable PRINCIPAL FINDINGS: Racial and ethnic minority enrollees had, on average, more MA plans available in their counties of residence compared to White enrollees (16.1, 20.8, 20.2, vs. 15.1 for Black, Asian/Pacific Islander, Hispanic, and White enrollees), but had fewer number of high-rated plans (4-star plans or higher) and/or more number of low-rated plans (3.5-star plans or lower). While racial and ethnic minority enrollees had lower enrollment in 4-4.5 star plans than White enrollees, this difference substantially decreased after accounting for county-level MA plan offerings (-9.1 to -0.5 percentage points for Black enrollees, -15.9 to -5.0 percentage points for Asian/Pacific Islander enrollees, and -12.7 to 0.6 percentage points for Hispanic enrollees). Results for Black enrollees were notable as the racial difference reversed when we limited the analysis to those who live in counties that offer a 5-star plan. After accounting for county-level MA plan offerings, Black enrollees had 3.2 percentage points higher enrollment in 5-star plans than White enrollees. CONCLUSIONS: Differences in enrollment in high-rated MA plans by race and ethnicity may be explained by limited access and not by individual characteristics or enrollment decisions.

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BACKGROUND: Enrollment in high-quality Medicare Advantage (MA) plans, measured by a 5-star quality rating system, was lower among racial and ethnic minority enrollees than White enrollees partly due to fewer high-quality plans available in their counties of residence. This may contribute to racial and ethnic disparities in ambulatory care sensitive condition (ACSC) hospitalizations. OBJECTIVE: We examined whether there were racial and ethnic disparities in ACSC hospitalizations among MA enrollees overall and by star rating. METHODS: Using the Medicare enrollment and claims data for 2016, we identified White, Black, Hispanic, and Asian/Pacific Islander enrollees in MA plans. We estimated racial and ethnic disparities in ACSC hospitalizations (per 10,000 enrollees) overall and by star rating. RESULTS: We found that the adjusted rates of ACSC hospitalizations were significantly higher among Black enrollees than White enrollees overall [39.4 (95% confidence interval: 36.3-42.5)]. However, no significant disparities were found among Hispanic and Asian/Pacific Islander enrollees. The adjusted rates of ACSC hospitalizations were higher in lower-rated plans than higher-rated plans in all racial and ethnic groups. The significant disparities in ACSC hospitalizations by star rating were the most pronounced between White and Black enrollees. We found suggestive evidence that enrollment in lower-rated plans was associated with higher disparities in ACSC hospitalizations between White and Black enrollees. CONCLUSIONS: Substantial disparities in ACSC hospitalizations exist between White and Black enrollees in MA plans, especially for lower-rated plans. Policies aimed at reducing racial disparities in ACSC hospitalizations could include improving access to high-rated plans.

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Although post-acute sequelae of COVID-19 among adult survivors has gained significant attention, data in children hospitalized for severe acute respiratory syndrome coronavirus 2 is limited. This study of commercially insured US children shows that those hospitalized with COVID-19 or multisystem inflammatory syndrome in children have a substantial burden of severe acute respiratory syndrome coronavirus 2 sequelae and associated health care visits postdischarge.

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Thousands of health systems are now recognized as "Age-Friendly Health Systems," making this model one of the most widely disseminated - and most promising- models to redesign care delivery for older adults. Sustaining these gains will require demonstrating the impact on care delivery and outcomes of older adults. We propose a new measurement model to more tightly link Age-Friendly Health System transformation to outcomes within each "M" (What Matters, Medications, Mobility, and Mentation). We evaluated measures based on the following characteristics: (1) conceptual responsiveness to changes brought about by practicing "4Ms" care; (2) degree to which they represent outcomes that matter to older adults; and (3) how they can be feasibly, reliably, and validly measured. We offer specific examples of how novel measures are currently being used where available. Finally, we present measures that could capture system-level effects across "M"s. We tie these suggestions together into a conceptual measurement model for AFHS transformation, with the intent to spur discussion, debate, and iterative improvement in measures over time.

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