Association of Medicare Advantage Enrollment With Financial Burden of Care : A Retrospective Cohort Study.

BACKGROUND: Compared with traditional Medicare (TM), Medicare Advantage (MA) plans typically offer supplemental benefits and lower copayments for in-network services and must include an out-of-pocket spending limit. OBJECTIVE: To examine whether the financial burden of care decreased for persons switching from TM to MA (TM-to-MA switchers) relative to those remaining in TM (TM stayers). DESIGN: Retrospective longitudinal cohort study comparing changes in financial outcomes between TM-to-MA switchers and TM stayers. SETTING: Population-based. PARTICIPANTS: 7054 TM stayers and 1544 TM-to-MA switchers from the Medical Expenditure Panel Survey, 2014 to 2021. MEASUREMENTS: Individual health care costs (out-of-pocket spending and cost sharing), financial burden (high and catastrophic), and subjective financial hardship (difficulty paying medical bills, paying medical bills over time, and inability to pay medical bills). RESULTS: Compared with TM stayers, TM-to-MA switchers had small differences in out-of-pocket spending ($168 [95% CI, -$133 to $469]) and proportions of total health expenses paid out of pocket (cost sharing) (0.2 percentage point [CI, -1.3 to 1.7 percentage points]), families with out-of-pocket spending greater than 20% of their income (high financial burden) (0.3 percentage point [CI, -2.5 to 3.0 percentage points]), families reporting out-of-pocket spending greater than 40% of their income (catastrophic financial burden) (0.7 percentage point [CI, -0.1 to 1.6 percentage points]), families reporting paying medical bills over time (-0.2 percentage point [CI, -1.7 to 1.4 percentage points]), families having problems paying medical bills (-0.4 percentage point [CI, -2.7 to 1.8 percentage points]), and families reporting being unable to pay medical bills (0.4 percentage point [CI, -1.3 to 2.0 percentage points]). LIMITATION: Inability to account for all medical care and cost needs and variations across MA plans, small baseline differences in out-of-pocket spending, and potential residual confounding. CONCLUSION: Differences in financial outcomes between beneficiaries who switched from TM to MA and those who stayed with TM were small. Differences in financial burden ranged across outcomes and did not have a consistent pattern. PRIMARY FUNDING SOURCE: The National Research Foundation of Korea.

Association of Opioid Use Disorder Diagnosis with Management of Acute Low Back Pain: A Medicare Retrospective Cohort Analysis.

BACKGROUND: Practice guidelines recommend nonpharmacologic and nonopioid therapies as first-line pain treatment for acute pain. However, little is known about their utilization generally and among individuals with opioid use disorder (OUD) for whom opioid and other pharmacologic therapies carry greater risk of harm. OBJECTIVE: To determine the association between a pre-existing OUD diagnosis and treatment of acute low back pain (aLBP). DESIGN: Retrospective cohort study using 2016-2019 Medicare data. PARTICIPANTS: Fee-for-service Medicare beneficiaries with a new episode of aLBP. MAIN MEASURES: The main independent variable was OUD diagnosis measured prior to the first LBP claim (i.e., index date). Using multivariable logistic regressions, we assessed the following outcomes measured within 30 days of the index date: (1) nonpharmacologic therapies (physical therapy and/or chiropractic care), and (2) prescription opioids. Among opioid recipients, we further assessed opioid dose and co-prescription of gabapentin. Analyses were conducted overall and stratified by receipt of physical therapy, chiropractic care, opioid fills, or gabapentin fills during the 6 months before the index date. KEY RESULTS: We identified 1,263,188 beneficiaries with aLBP, of whom 3.0% had OUD. Two-thirds (65.8%) did not receive pain treatments of interest at baseline. Overall, nonpharmacologic therapy receipt was less prevalent and opioid and nonopioid pharmacologic therapies were more common among beneficiaries with OUD than those without OUD. Beneficiaries with OUD had lower odds of receiving nonpharmacologic therapies (aOR = 0.62, 99%CI = 0.58-0.65) and higher odds of prescription opioid receipt (aOR = 2.24, 99%CI = 2.17-2.32). OUD also was significantly associated with increased odds of opioid doses ≥ 90 morphine milligram equivalents/day (aOR = 2.43, 99%CI = 2.30-2.56) and co-prescription of gabapentin (aOR = 1.15, 99%CI = 1.09-1.22). Similar associations were observed in stratified groups though magnitudes differed. CONCLUSIONS: Medicare beneficiaries with aLBP and OUD underutilized nonpharmacologic pain therapies and commonly received opioids at high doses and with gabapentin. Complementing the promulgation of practice guidelines with implementation science could improve the uptake of evidence-based nonpharmacologic therapies for aLBP.

Structural Racism, Historical Redlining, and Incidence of Kidney Failure in US Cities, 2012-2019.

SIGNIFICANCE STATEMENT: Residing in neighborhoods designated as grade D (hazardous) by the Home Owners' Loan Corporation (HOLC) under historical redlining-a discriminatory housing policy beginning in the 1930s-has been associated with present-day adverse health outcomes such as diabetes mortality. Historical redlining might underlie conditions in present-day neighborhoods that contribute to inequitable rates of kidney failure incidence, particularly for Black individuals, but its association with kidney disease is unknown. The authors found that among adults with incident kidney failure living in 141 metropolitan areas, residence in a historically redlined neighborhood rated grade D was associated with significantly higher kidney failure incidence rates compared with residence in a redlined grade A (best) neighborhood. These findings suggest that historical racist policies continue to affect current-day racial inequities in kidney health. BACKGROUND: Historical redlining was a 1930s federally sponsored housing policy that permitted the Home Owners' Loan Corporation (HOLC) to develop color-coded maps and grade neighborhoods' mortgage lending risk on the basis of characteristics that included racial makeup. This practice has been associated with present-day health disparities. Racial inequities in kidney disease-particularly for Black individuals-have been linked to residential segregation and other structural inequities. METHODS: Using a registry of people with incident kidney failure and digitized HOLC maps, we examined the association between residence in a historically redlined US census tract (CT) with a historical HOLC grade of D or hazardous) and present-day annual CT-level incidence of kidney failure incidence among adults in 141 US metropolitan areas, in 2012 through 2019. RESULTS: Age-adjusted and sex-adjusted kidney failure incidence rates were significantly higher in CTs with a historical HOLC grade D compared with CTs with a historical HOLC grade of A or best (mean, 740.7 per million versus 326.5 per million, respectively, a difference of 414.1 per million). Compared with national averages of all adults in our sample, rates of kidney failure incidence were higher for Black adults in our study sample, irrespective of CT HOLC grade. Age-adjusted and sex-adjusted incidence rates for Black persons in CTs with a HOLC grade D were significantly higher than for Black persons residing in HOLC grade A CTs (mean, 1227.1 per million versus 1030.5 per million, respectively [a difference of 196.6 per million]). CONCLUSIONS: Historical redlining is associated with present-day disparities in kidney failure incidence, demonstrating the legacy of historical racist policies on contemporary racial inequities in kidney health. PODCAST: This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/JASN/2023_08_24_JASN0000000000000165.mp3.

Social Risk and Dialysis Facility Performance in the First Year of the ESRD Treatment Choices Model.

Importance: The End-Stage Renal Disease Treatment Choices (ETC) model randomly selected 30% of US dialysis facilities to receive financial incentives based on their use of home dialysis, kidney transplant waitlisting, or transplant receipt. Facilities that disproportionately serve populations with high social risk have a lower use of home dialysis and kidney transplant raising concerns that these sites may fare poorly in the payment model. Objective: To examine first-year ETC model performance scores and financial penalties across dialysis facilities, stratified by their incident patients' social risk. Design, Setting, and Participants: A cross-sectional study of 2191 US dialysis facilities that participated in the ETC model from January 1 through December 31, 2021. Exposure: Composition of incident patient population, characterized by the proportion of patients who were non-Hispanic Black, Hispanic, living in a highly disadvantaged neighborhood, uninsured, or covered by Medicaid at dialysis initiation. A facility-level composite social risk score assessed whether each facility was in the highest quintile of having 0, 1, or at least 2 of these characteristics. Main Outcomes and Measures: Use of home dialysis, waitlisting, or transplant; model performance score; and financial penalization. Results: Using data from 125 984 incident patients (median age, 65 years [IQR, 54-74]; 41.8% female; 28.6% Black; 11.7% Hispanic), 1071 dialysis facilities (48.9%) had no social risk features, and 491 (22.4%) had 2 or more. In the first year of the ETC model, compared with those with no social risk features, dialysis facilities with 2 or more had lower mean performance scores (3.4 vs 3.6, P = .002) and lower use of home dialysis (14.1% vs 16.0%, P < .001). These facilities had higher receipt of financial penalties (18.5% vs 11.5%, P < .001), more frequently had the highest payment cut of 5% (2.4% vs 0.7%; P = .003), and were less likely to achieve the highest bonus of 4% (0% vs 2.7%; P < .001). Compared with all other facilities, those in the highest quintile of treating uninsured patients or those covered by Medicaid experienced more financial penalties (17.4% vs 12.9%, P = .01) as did those in the highest quintile in the proportion of patients who were Black (18.5% vs 12.6%, P = .001). Conclusions: In the first year of the Centers for Medicare & Medicaid Services' ETC model, dialysis facilities serving higher proportions of patients with social risk features had lower performance scores and experienced markedly higher receipt of financial penalties.

Comparison of Low-Value Care Among Commercial and Medicaid Enrollees.

BACKGROUND: Low-value healthcare is costly and inefficient and may adversely affect patient outcomes. Despite increases in low-value service use, little is known about how the receipt of low-value care differs across payers. OBJECTIVE: To evaluate differences in the use of low-value care between patients with commercial versus Medicaid coverage. DESIGN: Retrospective observational analysis of the 2017 Rhode Island All-payer Claims Database, estimating the probability of receiving each of 14 low-value services between commercial and Medicaid enrollees, adjusting for patient sociodemographic and clinical characteristics. Ensemble machine learning minimized the possibility of model misspecification. PARTICIPANTS: Medicaid and commercial enrollees aged 18-64 with continuous coverage and an encounter at which they were at risk of receiving a low-value service. INTERVENTION: Enrollment in Medicaid or Commercial insurance. MAIN MEASURES: Use of one of 14 validated measures of low-value care. KEY RESULTS: Among 110,609 patients, Medicaid enrollees were younger, had more comorbidities, and were more likely to be female than commercial enrollees. Medicaid enrollees had higher rates of use for 7 low-value care measures, and those with commercial coverage had higher rates for 5 measures. Across all measures of low-value care, commercial enrollees received more (risk difference [RD] 6.8 percentage points; CI: 6.6 to 7.0) low-value services than their counterparts with Medicaid. Commercial enrollees were also more likely to receive low-value services typically performed in the emergency room (RD 11.4 percentage points; CI: 10.7 to 12.2) and services that were less expensive (RD 15.3 percentage points; CI 14.6 to 16.0). CONCLUSION: Differences in the provision of low-value care varied across measures, though average use was slightly higher among commercial than Medicaid enrollees. This difference was more pronounced for less expensive services indicating that financial incentives may not be the sole driver of low-value care.

Medicare Advantage Enrollment Among Beneficiaries With End-Stage Renal Disease in the First Year of the 21st Century Cures Act.

Importance: Before 2021, most Medicare beneficiaries with end-stage renal disease (ESRD) were unable to enroll in private Medicare Advantage (MA) plans. The 21st Century Cures Act permitted these beneficiaries to enroll in MA plans effective January 2021. Objective: To examine changes in MA enrollment among Medicare beneficiaries with ESRD after enactment of the 21st Century Cures Act overall and by race or ethnicity and dual-eligible status. Design, Setting, and Participants: This cross-sectional time-trend study used data from Medicare beneficiaries with ESRD (both kidney transplant recipients and those undergoing dialysis) between January 2019 and December 2021. Data were analyzed between June and October 2022. Exposures: 21st Century Cures Act. Main Outcomes and Measures: Primary outcomes were the proportion of Medicare beneficiaries with prevalent ESRD who switched from traditional Medicare to MA between 2020 and 2021 and those with incident ESRD who newly enrolled in MA in 2021. Individuals who stayed in traditional Medicare were enrolled in 2020 and 2021 and those who switched to MA were enrolled in traditional Medicare in 2020 and MA in 2021. Results: Among 575 797 beneficiaries with ESRD in 2020 or 2021 (mean [SD] age, 64.7 [14.2] years, 42.2% female, 34.0% Black, and 7.7% Hispanic or Latino), the proportion of beneficiaries enrolled in MA increased from 24.8% (December 2020) to 37.4% (December 2021), a relative change of 50.8%. The largest relative increases in MA enrollment were among Black (72.8% relative increase), Hispanic (44.8%), and dual-eligible beneficiaries with ESRD (73.6%). Among 359 617 beneficiaries with TM and prevalent ESRD in 2020, 17.6% switched to MA in 2021. Compared with individuals who stayed in traditional Medicare, those who switched to MA had modestly more chronic conditions (6.3 vs 6.1; difference, 0.12 conditions [95% CI, 0.10-0.16]) and similar nondrug spending in 2020 (difference, $509 [95% CI, -$58 to $1075]) but were more likely to be Black (difference, 19.5 percentage points [95% CI, 19.1-19.9]) and have dual Medicare-Medicaid eligibility (difference, 20.8 percentage points [95% CI, 20.4-21.2]). Among beneficiaries who were newly eligible for Medicare ESRD benefits in 2021, 35.2% enrolled in MA. Conclusions and Relevance: Results suggest that increases in MA enrollment among Medicare beneficiaries with ESRD were substantial the first year after the 21st Century Cures Act, particularly among Black, Hispanic, and dual-eligible individuals. Policy makers and MA plans may need to assess network adequacy, disenrollment, and equity of care for beneficiaries who enrolled in MA.

Referral and Evaluation for Kidney Transplantation Following Implementation of the 2014 National Kidney Allocation System.

RATIONALE & OBJECTIVE: The national kidney allocation system (KAS) implemented in December 2014 in the United States redefined the start of waiting time from the time of waitlisting to the time of kidney failure. Waitlisting has declined post-KAS, but it is unknown if this is due to transplant center practices or changes in dialysis facility referral and evaluation. The purpose of this study was to assess the impact of the 2014 KAS policy change on referral and evaluation for transplantation among a population of incident and prevalent patients with kidney failure. STUDY DESIGN: Cohort study. SETTING & PARTICIPANTS: 37,676 incident (2012-2016) patients in Georgia, North Carolina, and South Carolina identified within the US Renal Data System at 9 transplant centers and followed through December 2017. A prevalent population of 6,079 patients from the same centers receiving maintenance dialysis in 2012 but not referred for transplantation in 2012. EXPOSURE: KAS era (pre-KAS vs post-KAS). OUTCOME: Referral for transplantation, start of transplant evaluation, and waitlisting. ANALYTICAL APPROACH: Multivariable time-dependent Cox models for the incident and prevalent population. RESULTS: Among incident patients, KAS was associated with increased referrals (adjusted HR, 1.16 [95% CI, 1.12-1.20]) and evaluation starts among those referred (adjusted HR, 1.16 [95% CI, 1.10-1.21]), decreased overall waitlisting (adjusted HR, 0.70 [95% CI, 0.65-0.76]), and lower rates of active waitlisting among those evaluated compared to the pre-KAS era (adjusted HR, 0.81 [95% CI, 0.74-0.90]). Among the prevalent population, KAS was associated with increases in overall waitlisting (adjusted HR, 1.74 [95% CI, 1.15-2.63]) and active waitlisting among those evaluated (adjusted HR, 2.01 [95% CI, 1.16-3.49]), but had no significant impact on referral or evaluation starts among those referred. LIMITATIONS: Limited to 3 states, residual confounding. CONCLUSIONS: In the southeastern United States, the impact of KAS on steps to transplantation was different among incident and prevalent patients with kidney failure. Dialysis facilities referred more incident patients and transplant centers evaluated more incident patients after implementation of KAS, but fewer evaluated patients were placed onto the waitlist. Changes in dialysis facility and transplant center behaviors after KAS implementation may have influenced the observed changes in access to transplantation.

Variation in Usual Source of Care in Asian American, Native Hawaiian, and Other Pacific Islander Adult Medicaid Beneficiaries.

BACKGROUND: Disparities in access to care between non-Hispanic White and Asian American, Native Hawaiian, and Pacific Islander (AANHPI) patients are often attributed to higher uninsurance rates among AANHPI patients. Less is known about variation among individuals with Medicaid health insurance coverage and among AANHPI subgroups. OBJECTIVE: The objective of this study was to examine differences in access to care between White and AANHPI adult Medicaid beneficiaries, both in the aggregate and disaggregated into 9 ethnic subgroups (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, Other Asian, Native Hawaiian, and Pacific Islander). RESEARCH DESIGN: Nationwide Adult Medicaid Consumer Assessment of Healthcare Providers and Systems data (2014-2015), a cross-sectional survey representative of all Medicaid beneficiaries. SUBJECTS: A total of 126,728 White and 10,089 AANHPI Medicaid beneficiaries were included. MEASURES: The study outcomes were: (1) having a usual source of care; and (2) reporting a health center or clinic as the usual site of care. Multivariable linear probability models assessed the relationship between race/ethnic subgroup and our outcomes, adjusting for sociodemographic characteristics and health status. RESULTS: Compared with White beneficiaries, Korean beneficiaries were significantly less likely to report having a usual source of care [difference=-8.9 percentage points (PP), P =0.01], and Chinese (difference=8.4 PP, P =0.001), Native Hawaiian (difference=25.8 PP, P <0.001), and Pacific Islander (difference=22.2 PP, P =0.001) beneficiaries were significantly more likely to report a health center or clinic as their usual site of care. CONCLUSIONS: Despite similar health insurance coverage, significant differences in access to care remain between White and AANHPI Medicaid beneficiaries. Disaggregated AANHPI data may reveal important variation in access to care and inform more targeted public policies.

Trends in Collection of Disaggregated Asian American, Native Hawaiian, and Pacific Islander Data: Opportunities in Federal Health Surveys.

Collection of data for Asian American, Native Hawaiian, and Pacific Islander (AANHPI) persons that is disaggregated by ethnic subgroup may identify disparities that are not apparent in aggregated data. Using content analysis, we identified national population surveys administered by the US Department of Health and Human Services (HHS) and evaluated trends in the collection of disaggregated AANHPI data between 2011 and 2021. In 2011, 4 of 15 surveys (27%) collected disaggregated data for Asian American, 2 of 15 surveys (13%) collected data on Native Hawaiian, and 2 of 15 surveys (13%) collected disaggregated data for Pacific Islander people. By 2019, 14 of 21 HHS-administered surveys (67%) collected disaggregated data for Asian American (6 subgroups), 67% collected data on Native Hawaiian, and 67% collected disaggregated data on Pacific Islander (3 subgroups) people. Collection of disaggregated AANHPI data in HHS-administered surveys increased from 2011 to 2021, but opportunities to expand collection and reporting remain. Strategies include outreach with community organizations, increased language assistance, and oversampling approaches. Increased availability and reporting of these data can inform health policies and mitigate disparities. (Am J Public Health. 2022;112(10):1429-1435. https://doi.org/10.2105/AJPH.2022.306969).

The association between primary care use and potentially-preventable hospitalization among dual eligibles age 65 and over.

BACKGROUND: Individuals dually-enrolled in Medicare and Medicaid (dual eligibles) are disproportionately sicker, have higher health care costs, and are hospitalized more often for ambulatory care sensitive conditions (ACSCs) than other Medicare beneficiaries. Primary care may reduce ACSC hospitalizations, but this has not been well studied among dual eligibles. We examined the relationship between primary care and ACSC hospitalization among dual eligibles age 65 and older. METHODS: In this observational study, we used 100% Medicare claims data for dual eligibles ages 65 and over from 2012 to 2018 to estimate the likelihood of ACSC hospitalization as a function of primary care visits and other factors. We used linear probability models stratified by rurality, with subgroup analyses for dual eligibles with diabetes or congestive heart failure. RESULTS: Each additional primary care visit was associated with an 0.05 and 0.09 percentage point decrease in the probability of ACSC hospitalization among urban (95% CI: - 0.059, - 0.044) and rural (95% CI: - 0.10, - 0.08) dual eligibles, respectively. Among dual eligibles with CHF, the relationship was even stronger with decreases of 0.09 percentage points (95% CI: - 0.10, - 0.08) and 0.15 percentage points (95% CI: - 0.17, - 0.13) among urban and rural residents, respectively. CONCLUSIONS: Increased primary care use is associated with lower rates of preventable hospitalizations for dual eligibles age 65 and older, especially for dual eligibles with diabetes and congestive heart failure. In turn, efforts to reduce preventable hospitalizations for this dual-eligible population should consider how to increase access to and use of primary care.

Medicaid Expansion and Incidence of Kidney Failure among Nonelderly Adults.

BACKGROUND: Low-income individuals without health insurance have limited access to health care. Medicaid expansions may reduce kidney failure incidence by improving access to chronic disease care. METHODS: Using a difference-in-differences analysis, we examined the association between Medicaid expansion status under the Affordable Care Act (ACA) and the kidney failure incidence rate among all nonelderly adults, aged 19-64 years, in the United States, from 2012 through 2018. We compared changes in kidney failure incidence in states that implemented Medicaid expansions with concurrent changes in nonexpansion states during pre-expansion, early postexpansion (years 2 and 3 postexpansion), and later postexpansion (years 4 and 5 postexpansion). RESULTS: The unadjusted kidney failure incidence rate increased in the early years of the study period in both expansion and nonexpansion states before stabilizing. After adjustment for population sociodemographic characteristics, Medicaid expansion status was associated with 2.20 fewer incident cases of kidney failure per million adults per quarter in the early postexpansion period (95% CI, -3.89 to -0.51) compared with nonexpansion status, a 3.07% relative reduction (95% CI, -5.43% to -0.72%). In the later postexpansion period, Medicaid expansion status was not associated with a statistically significant change in kidney failure incidence (-0.56 cases per million per quarter; 95% CI, -2.71 to 1.58) compared with nonexpansion status and the pre-expansion time period. CONCLUSIONS: The ACA Medicaid expansion was associated with an initial reduction in kidney failure incidence among the entire, nonelderly, adult population in the United States; but the changes did not persist in the later postexpansion period. Further study is needed to determine the long-term association between Medicaid expansion and changes in kidney failure incidence.

Elimination of Cost Sharing for Screening Mammography in Medicare Advantage Plans.

BACKGROUND: The Affordable Care Act (ACA) required most insurers and the Medicare program to eliminate cost sharing for screening mammography. METHODS: We conducted a difference-in-differences study of biennial screening mammography among 15,085 women 65 to 74 years of age in 24 Medicare Advantage plans that eliminated cost sharing to provide full coverage for screening mammography, as compared with 52,035 women in 48 matched control plans that had and maintained full coverage. RESULTS: In plans that eliminated cost sharing, adjusted rates of biennial screening mammography increased from 59.9% (95% confidence interval [CI], 54.9 to 65.0) in the 2-year period before cost-sharing elimination to 65.4% (95% CI, 61.8 to 69.0) in the 2-year period thereafter. In control plans, the rates of biennial mammography were 73.1% (95% CI, 69.2 to 77.0) and 72.8% (95% CI, 69.7 to 76.0) during the same periods, yielding a difference in differences of 5.7 percentage points (95% CI, 3.0 to 8.4). The difference in differences was 9.8 percentage points (95% CI, 4.5 to 15.2) among women living in the areas with the highest quartile of educational attainment versus 4.3 percentage points (95% CI, 0.2 to 8.4) among women in the lowest quartile. As indicated by the difference-in-differences estimates, after the elimination of cost sharing, the rate of biennial mammography increased by 6.5 percentage points (95% CI, 3.7 to 9.4) for white women and 8.4 percentage points (95% CI, 2.5 to 14.4) for black women but was almost unchanged for Hispanic women (0.4 percentage points; 95% CI, -7.3 to 8.1). CONCLUSIONS: The elimination of cost sharing for screening mammography under the ACA was associated with an increase in rates of use of this service among older women for whom screening is recommended. The effect was attenuated among women living in areas with lower educational attainment and was negligible among Hispanic women. (Funded by the National Institute on Aging.).

Medicare Advantage Chart Reviews Are Associated With Billions in Additional Payments for Some Plans.

BACKGROUND: In the Medicare Advantage (MA) program, private plans receive capitated payments that are adjusted based on their enrollees' number and type of clinical conditions. Plans have the ability to review charts to identify additional conditions that are not present in claims data, thereby increasing risk-adjusted payments. Recently the Government Accountability Office released a report raising concerns about the use of these chart reviews as a potential tool for upcoding. OBJECTIVES: To measure the extent to which plans receive additional payments for chart reviews, and the variation in chart reviews across plans. RESEARCH DESIGN: In this cross-sectional study we use 2015 MA Encounter data to calculate how many additional diagnoses codes were added for each enrollee using chart reviews. We then calculate how these additional diagnosis codes translate to additional reimbursements across plans. SUBJECTS: A total of 14,021,692 beneficiaries enrolled in 510 MA contracts in 2015. MEASURES: Individual and contract level hierarchical condition category codes, total plan reimbursement. RESULTS: Chart reviews were associated with a $2.3 billion increase in payments to plans, a 3.7% increase in Medicare spending to MA plans. Just 10% of plans accounted for 42% of the $2.3 billion in additional spending attributed to chart review. Among these plans, the relative increase in risk score from chart review was 17.2%. For-profit plans engaged in chart reviews substantially more frequently than nonprofit plans. CONCLUSIONS: Given the substantial and highly variable increase in payments attributable to chart review, further investigation of the validity of this practice and its implications for Medicare spending is needed.

Mandated Copayment Reductions in Medicare Advantage: Effects on Skilled Nursing Care, Hospitalizations, and Plan Exit.

OBJECTIVES: To address concerns that postacute cost-sharing may deter high-need beneficiaries from participating in Medicare Advantage (MA) plans, the Centers for Medicare and Medicaid Services have capped cost-sharing for skilled nursing facility (SNF) services in MA plans since 2011. This study examines whether SNF use, inpatient use, and plan disenrollment changed following stricter regulations in 2015 that required most MA plans to eliminate or substantially reduce cost-sharing for SNF care. DESIGN: Difference-in-differences retrospective analysis from 2013 to 2016. SETTING: MA plans. PARTICIPANTS: Thirty-one million MA members in 320 plans with mandatory cost-sharing reductions and 261 plans without such reductions. MEASUREMENTS: Mean monthly number of SNF admissions, SNF days, hospitalizations, and plan disenrollees per 1000 members. RESULTS: Mean total cost-sharing for the first 20 days of SNF services decreased from $911 to $104 in affected plans. Relative to concurrent changes in plans without mandated cost-sharing reductions, plans with mandatory cost-sharing reductions experienced no significant differences in the number of SNF days per 1000 members (adjusted between-group difference: 0.4 days per 1000 members [95% confidence interval (95% CI), -5.2 to 6.0, P=0.89], small decreases in the number of hospitalizations per 1000 members [adjusted between-group difference: 0.6 admissions per 1000 members (95% CI, -1.0 to -0.1; P=0.03)], and small decreases in the number of SNF users who disenrolled at year-end [adjusted between-group difference: -16.8 disenrollees per 1000 members (95% CI, -31.9 to -1.8; P=0.03)]. CONCLUSIONS: Mandated reductions in SNF cost-sharing may have curbed selective disenrollment from MA plans without significantly increasing use of SNF services.

Racial/Ethnic Differences in 30-Day Mortality for Heart Failure and Pneumonia in the Veterans Health Administration Using Claims-based, Clinical, and Social Risk-adjustment Variables.

BACKGROUND: Prior studies have identified lower mortality in Black Veterans compared with White Veterans after hospitalization for common medical conditions, but these studies adjusted for comorbid conditions identified in administrative claims. OBJECTIVES: The objectives of this study were to compare mortality for non-Hispanic White (hereafter, "White"), non-Hispanic Black (hereafter, "Black"), and Hispanic Veterans hospitalized for heart failure (HF) and pneumonia and determine whether observed mortality differences varied according to whether claims-based comorbid conditions and/or clinical variables were included in risk-adjustment models. RESEARCH DESIGN: This was an observational study. SUBJECTS: The study cohort included 143,520 admissions for HF and 127,782 admissions for pneumonia for Veterans hospitalized in 132 Veterans Health Administration (VA) Medical Centers between January 2009 and September 2015. MEASURES: The primary independent variable was racial/ethnic group (ie, Black, Hispanic, and non-Hispanic White), and the outcome was all-cause mortality 30 days following admission. To compare mortality by race/ethnicity, we used logistic regression models that included different combinations of claims-based, clinical, and sociodemographic variables. For each model, we estimated the average marginal effect (AME) for Black and Hispanic Veterans relative to White Veterans. RESULTS: Among the 143,520 (127,782) hospitalizations for HF (pneumonia), the average patient age was 71.6 (70.9) years and 98.4% (97.1%) were male. The unadjusted 30-day mortality rates for HF (pneumonia) were 7.2% (11.0%) for White, 4.1% (10.4%) for Black and 8.4% (16.9%) for Hispanic Veterans. Relative to White Veterans, when only claims-based variables were used for risk adjustment, the AME (95% confidence interval) for the HF [pneumonia] cohort was -2.17 (-2.45, -1.89) [0.08 (-0.41, 0.58)] for Black Veterans and 1.32 (0.49, 2.15) [4.51 (3.65, 5.38)] for Hispanic Veterans. When clinical variables were incorporated in addition to claims-based ones, the AME, relative to White Veterans, for the HF [pneumonia] cohort was -1.57 (-1.88, -1.27) [-0.83 (-1.31, -0.36)] for Black Veterans and 1.50 (0.71, 2.30) [3.30 (2.49, 4.11)] for Hispanic Veterans. CONCLUSIONS: Compared with White Veterans, Black Veterans had lower mortality, and Hispanic Veterans had higher mortality for HF and pneumonia. The inclusion of clinical variables into risk-adjustment models impacted the magnitude of racial/ethnic differences in mortality following hospitalization. Future studies examining racial/ethnic disparities should consider including clinical variables for risk adjustment.

The Relationship Between Medicare Advantage Star Ratings and Enrollee Experience.

BACKGROUND: Medicare Advantage plans, private managed care plans that enrolled 34% of Medicare beneficiaries in 2019, received $6 billion in annual bonus payments on the basis of their performance on a 5-star rating system. Little is known, however, as to the extent these ratings adequately capture enrollee experience. OBJECTIVES: To measure the effect of exposure to higher rated Medicare Advantage contracts on enrollee experience. DESIGN: An instrumental variables analysis using MA contract consolidation as an exogenous shock to the quality of plan enrollees are exposed to. PARTICIPANTS: A total of 345,897 MA enrollees enrolled in non-consolidated contracts and 21,405 enrollees who were consolidated. MAIN MEASURES: The primary exposure was enrollee star rating, instrumented using contract consolidation. The primary outcomes were enrollee self-reported experience measures. KEY RESULTS: There were no significant effects on increased star ratings on 23 of 27 outcomes. A one-star increase in contract star rating leads to a 5.4 percentage point increase in reporting that pain does not interfere with daily activities (95%CI 2.4, 8.4), and a 4.4 percentage reduction in the likelihood that a physician would talk to the enrollee about physical activity (95%CI: -7.8, -1.1, all p<0.05). A one-star increase in contract star rating led to an 8.4 percentage point reduction in achieving the top score on the received needed information index (95%CI: -16.4, -0.4), and a 1.8 percentage point reduction in responding with the lowest score for the overall rating of care (95%CI: -3.5, -0.1). CONCLUSIONS: Exposure to a higher rated MA contract did not appreciably increase enrollee experience. Policymakers should consider reassessing how these ratings and associated bonus payments are currently calculated.

Family caregiving in the community up to 8-years after onset of dementia.

BACKGROUND: Persons with Alzheimer's disease and related dementias (ADRD) receive care from family/friends, but how care changes from the onset of dementia remains less understood. METHODS: We used the Health and Retirement Study (2002-2012) to identify community-dwelling individuals predicted to have incident ADRD. We investigated the amount of caregiving received for activities of daily living in the 8-years after disease onset. RESULTS: At incidence (n = 1158), persons with ADRD received 151 h (SD = 231) of caregiving a month, 25 (SD = 26) caregiving days a month and had 1.3 (SD = 1.4) caregivers a month. By 8-years post incidence, 187 (16%) individuals transitioned to a nursing home and 662 (57%) died in the community. Community-dwelling persons with ADRD at 8-years post incidence (n = 30) received 283 h (SD = 257) of caregiving, 38 (SD = 24) caregiving days, and had 2.2 (SD = 1.3) caregivers. CONCLUSIONS: Community-dwelling persons with ADRD receive a substantial amount of caregiving over the first 8-years after disease onset.

Hospital Readmission Rates in Medicare Advantage and Traditional Medicare: A Retrospective Population-Based Analysis.

Background: Medicare's Hospital Readmissions Reduction Program reports risk-standardized readmission rates for traditional Medicare but not Medicare Advantage beneficiaries. Objective: To compare readmission rates between Medicare Advantage and traditional Medicare. Design: Retrospective cohort study linking the Medicare Provider Analysis and Review (MedPAR) file with the Healthcare Effectiveness Data and Information Set (HEDIS). Setting: 4748 U.S. acute care hospitals. Patients: Patients aged 65 years or older hospitalized for acute myocardial infarction (AMI) (n = 841 613), congestive heart failure (CHF) (n = 1 458 652), or pneumonia (n = 2 020 365) between 2011 and 2014. Measurements: 30-day readmissions. Results: Among admissions for AMI, CHF, and pneumonia identified in MedPAR, 29.2%, 38.0%, and 37.2%, respectively, did not have a corresponding record in HEDIS. Of these, 18.9% for AMI, 23.7% for CHF, and 18.3% for pneumonia resulted in a readmission that was identified in MedPAR. However, among index admissions appearing in HEDIS, 14.4% for AMI, 18.4% for CHF, and 13.9% for pneumonia resulted in a readmission. Patients in Medicare Advantage had lower unadjusted readmission rates than those in traditional Medicare for all 3 conditions (16.6% vs. 17.1% for AMI, 21.4% vs. 21.7% for CHF, and 16.3% vs. 16.4% for pneumonia). However, after standardization, patients in Medicare Advantage had higher readmission rates than patients in traditional Medicare for AMI (17.2% vs. 16.9%; difference, 0.3 percentage point [95% CI, 0.1 to 0.5 percentage point]), CHF (21.7% vs. 21.4%; difference, 0.3 percentage point [CI, 0.2 to 0.5 percentage point]), and pneumonia (16.5% vs. 16.0%; difference, 0.5 percentage point [95% CI, 0.4 to 0.6 percentage point]). Rate differences increased between 2011 and 2014. Limitation: Potential unobserved differences between populations. Conclusion: The HEDIS data underreported hospital admissions for 3 common medical conditions, and readmission rates were higher among patients with underreported admissions. Medicare Advantage beneficiaries had higher risk-adjusted 30-day readmission rates than traditional Medicare beneficiaries. Primary Funding Source: National Institute on Aging.

Risk Factors for Early Disenrollment From Colorado's Affordable Care Act Marketplace.

BACKGROUND: Midyear disenrollment from Marketplace coverage may have detrimental effects on continuity of care and risk pool stability of individual health insurance markets. OBJECTIVE: The main objective of this study was to assess associations between insurance plan characteristics, individual and area-level demographics, and disenrollment from Marketplace coverage. DATA: All payer claims data from individual market enrollees, 2014-2016. STUDY DESIGN: We estimated Cox proportional hazards models to assess the relationship between plan actuarial value and Marketplace enrollment. The primary outcome was disenrollment from Marketplace coverage before the end of the year. We also calculated the proportion of enrollees who transitioned to other coverage after leaving the Marketplace, and identified demographic and area-level factors associated with early disenrollment. Finally, we compared monthly utilization rates between those who disenrolled early and those who maintained coverage. RESULTS: Nearly 1 in 4 Marketplace beneficiaries disenrolled midyear. The hazard rate of disenrollment was 30% lower for individuals in plans receiving cost-sharing reductions and 21% lower for those enrolled in gold plans, compared with silver plans without cost-sharing subsidies. Young adults had a 70% increased hazard of disenrollment compared with older adults. Those who disenrolled midyear had greater hospital and emergency department utilization before disenrollment compared with those who maintained continuous coverage. CONCLUSIONS: Plan generosity is significantly associated with lower disenrollment rates from Marketplace coverage. Reducing churning in Affordable Care Act Marketplaces may improve continuity of care and insurers' ability to accurately forecast the health care costs of their enrollees.

Veterans' Reliance on VA Care by Type of Service and Distance to VA for Nonelderly VA-Medicaid Dual Enrollees.

BACKGROUND: Not much is known about nonelderly veterans and their reliance on care from the Veterans Affairs (VA) health care system when they have access to non-VA care. OBJECTIVES: To estimate VA reliance for nonelderly veterans enrolled in VA and Medicaid. RESEARCH DESIGN: Retrospective, longitudinal analysis of Medicaid claims data and VA administrative data to compare patients' utilization of VA and Medicaid services 12 months before and for up to 12 months after Medicaid enrollment began. SUBJECTS: Nonelderly veterans (below 65 y) receiving VA care and newly enrolled in Medicaid, calendar years 2006-2010 (N=19,890). MEASURES: VA reliance (proportion of care received in VA) for major categories of outpatient and inpatient care. RESULTS: Patients used VA outpatient care at similar levels after enrolling in Medicaid with the exceptions of emergency department (ED) and obstetrics/gynecology care, which decreased. VA inpatient utilization was similar after Medicaid enrollment for most types of care. VA-adjusted outpatient reliance was highest for mental health care (0.99) and lowest for ED care (0.02). VA-adjusted inpatient reliance was highest for respiratory (0.80) and cancer stays (0.80) and lowest for musculoskeletal stays (0.20). Associations between VA reliance and distance to VA providers varied by type of care. CONCLUSIONS: Veterans dually enrolled in Medicaid received most of their outpatient care from the VA except ED, obstetrics/gynecology, and dental care. Patients received most of their inpatient care from Medicaid except mental health, respiratory, and cancer care. Sensitivity to travel distance to VA providers explained some of these differences.