In-Home Health Risk Assessments And Chart Reviews Contribute To Coding Intensity In Medicare Advantage.

There is widespread agreement that taxpayers pay more when Medicare beneficiaries are enrolled in Medicare Advantage (MA) plans than if those beneficiaries were enrolled in traditional Medicare. MA plans are paid on the basis of submitted diagnoses and thus have a clear incentive to encourage providers to find and report as many diagnoses for their enrollees as possible. Two mechanisms that MA plans use to identify diagnoses that are not available for beneficiaries in traditional Medicare are in-home health risk assessments and chart reviews. Using MA encounter data for 2015-20, I isolated the impact of these two types of encounters on the risk scores used for payments to MA plans during 2016-21. I found that encounter-based risk scores for MA enrollees were higher by 0.091 points, or 7.4 percent, in 2021 when in-home health risk assessments and chart reviews were included than they would have been without the use of these tools.

Less Care at Higher Cost-The Medicare Advantage Paradox.

This Viewpoint makes the case for eliminating Medicare Advantage and doubling down on Traditional Medicare.

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.

Incorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure.

Importance: Medicare Advantage (MA) enrollment is rapidly expanding, yet Centers for Medicare & Medicaid Services (CMS) claims-based hospital outcome measures, including readmission rates, have historically included only fee-for-service (FFS) beneficiaries. Objective: To assess the outcomes of incorporating MA data into the CMS claims-based FFS Hospital-Wide All-Cause Unplanned Readmission (HWR) measure. Design, Setting, and Participants: This cohort study assessed differences in 30-day unadjusted readmission rates and demographic and risk adjustment variables for MA vs FFS admissions. Inpatient FFS and MA administrative claims data were extracted from the Integrated Data Repository for all admissions for Medicare beneficiaries from July 1, 2018, to June 30, 2019. Measure reliability and risk-standardized readmission rates were calculated for the FFS and MA cohort vs the FFS-only cohort, overall and within specialty subgroups (cardiorespiratory, cardiovascular, medicine, surgery, neurology), then changes in hospital performance quintiles were assessed after adding MA admissions. Main Outcome and Measure: Risk-standardized readmission rates. Results: The cohort included 11 029 470 admissions (4 077 633 [37.0%] MA; 6 044 060 [54.8%] female; mean [SD] age, 77.7 [8.2] years). Unadjusted readmission rates were slightly higher for MA vs FFS admissions (15.7% vs 15.4%), yet comorbidities were generally lower among MA beneficiaries. Test-retest reliability for the FFS and MA cohort was higher than for the FFS-only cohort (0.78 vs 0.73) and signal-to-noise reliability increased in each specialty subgroup. Mean hospital risk-standardized readmission rates were similar for the FFS and MA cohort and FFS-only cohorts (15.5% vs 15.3%); this trend was consistent across the 5 specialty subgroups. After adding MA admissions to the FFS-only HWR measure, 1489 hospitals (33.1%) had their performance quintile ranking changed. As their proportion of MA admissions increased, more hospitals experienced a change in their performance quintile ranking (147 hospitals [16.3%] in the lowest quintile of percentage MA admissions; 408 [45.3%] in the highest). The combined cohort added 63 hospitals eligible for public reporting and more than 4 million admissions to the measure. Conclusions and Relevance: In this cohort study, adding MA admissions to the HWR measure was associated with improved measure reliability and precision and enabled the inclusion of more hospitals and beneficiaries. After MA admissions were included, 1 in 3 hospitals had their performance quintile changed, with the greatest shifts among hospitals with a high percentage of MA admissions.

New Supplemental Benefits and Plan Ratings Among Medicare Advantage Enrollees.

Importance: In 2018, the US Congress gave Medicare Advantage (MA) historic flexibility to address members' social needs with a set of Special Supplemental Benefits for the Chronically Ill (SSBCIs). In response, the Centers for Medicare & Medicaid Services expanded the definition of primarily health-related benefits (PHRBs) to include nonmedical services in 2019. Uptake has been modest; MA plans cited a lack of evidence as a limiting factor. Objective: To evaluate the association between adopting the expanded supplemental benefits designed to address MA enrollees' nonmedical and social needs and enrollees' plan ratings. Design, Setting, and Participants: This cohort study compared the plan ratings of MA enrollees in plans that adopted an expanded PHRB, SSBCI, or both using difference-in-differences estimators with MA Consumer Assessment of Health Care Providers and Systems survey data from March to June 2017, 2018, 2019, and 2021 linked to Medicare administrative claims and publicly available benefits and enrollment data. Data analysis was performed between April 2023 and March 2024. Exposure: Enrollees in MA plans that adopted a PHRB and/or SSBCI in 2021. Main Outcomes and Measures: Enrollee plan rating on a 0- to 10-point scale, with 0 indicating the worst health plan possible and 10 indicating the best health plan possible. Results: The study sample included 388 356 responses representing 467 MA contracts and 2558 plans in 2021. Within the weighted population of responders, the mean (SD) age was 74.6 (8.7) years, 57.2% were female, 8.9% were fully Medicare-Medicaid dual eligible, 74.6% had at least 1 chronic medical condition, 13.7% had not graduated high school, 9.7% were helped by a proxy, 45.1% reported fair or poor physical health, and 15.6% were entitled to Medicare due to disability. Adopting both a new PHRB and SSBCI benefit in 2021 was associated with an increase of 0.22 out of 10 points (95% CI, 0.4-4.0 points) in mean enrollee plan ratings. There was no association between adoption of only a PHRB (adjusted difference, -0.12 points; 95% CI, -0.26 to 0.02 points) or SSBCI (adjusted difference, 0.09 points; 95% CI, -0.03 to 0.21 points) and plan rating. Conclusions and Relevance: Medicare Advantage plans that adopted both benefits saw modest increases in mean enrollee plan ratings. This evidence suggests that more investments in supplemental benefits were associated with improved plan experiences, which could contribute to improved plan quality ratings.

Primary care visit cadence and hospital admissions in high-risk patients.

OBJECTIVES: Most Medicare beneficiaries obtain supplemental insurance or enroll in Medicare Advantage (MA) to protect against potentially high cost sharing in traditional Medicare (TM). We examined changes in Medicare supplemental insurance coverage in the context of MA growth. STUDY DESIGN: Repeated cross-sectional analysis of the Medicare Current Beneficiary Survey from 2005 to 2019. METHODS: We determined whether Medicare beneficiaries 65 years and older were enrolled in MA (without Medicaid), TM without supplemental coverage, TM with employer-sponsored supplemental coverage, TM with Medigap, or Medicaid (in TM or MA). RESULTS: From 2005 to 2019, beneficiaries with TM and supplemental insurance provided by their former (or current) employer declined by approximately half (31.8% to 15.5%) while the share in MA (without Medicaid) more than doubled (13.4% to 35.1%). The decline in supplemental employer-sponsored insurance use was greater for White and for higher-income beneficiaries. Over the same period, beneficiaries in TM without supplemental coverage declined by more than a quarter (13.9% to 10.1%). This decline was largest for Black, Hispanic, and lower-income beneficiaries. CONCLUSIONS: The rapid rise in MA enrollment from 2005 to 2019 was accompanied by substantial changes in supplemental insurance with TM. Our results emphasize the interconnectedness of different insurance choices made by Medicare beneficiaries.

Total and Out-of-Pocket Costs Surrounding Emergency Department Care Among Older Adults Enrolled in Traditional Medicare and Medicare Advantage.

STUDY OBJECTIVE: We sought to quantify differences in total and out-of-pocket health care costs associated with treat-and-release emergency department (ED) visits among older adults with traditional Medicare and Medicare Advantage. METHODS: We conducted a repeated cross-sectional analysis of treat-and-release ED visits using 2015 to 2020 data from the Medicare Current Beneficiary Survey. We measured total and out-of-pocket health care spending during 3 time periods: the 30 days prior to the ED visit, the treat-and-release ED visit itself, and the 30 days after the ED visit. Stratified by traditional Medicare or Medicare Advantage status, we determined median total costs and the proportion of costs that were out-of-pocket. RESULTS: Among the 5,011 ED visits by those enrolled in traditional Medicare, the weighted median total (and % out-of-pocket) costs were $881.95 (13.3%) for the 30 days prior to the ED visit, $419.70 (10.1%) for the ED visit, and $809.00 (13.8%) for the 30 days after the ED visit. For the 2,595 ED visits by those enrolled in Medicare Advantage, the weighted median total (and % out-of-pocket) costs were $484.92 (24.0%) for the 30 days prior to the ED visit, $216.66 (21.9%) for the ED visit, and $439.13 (22.4%) for the 30 days after the ED visit. CONCLUSION: Older adults insured by Medicare Advantage incur lower total health care costs and face similar overall out-of-pocket expenses in the time period surrounding emergency care. However, a higher proportion of expenses are out-of-pocket compared with those insured by traditional Medicare, providing evidence of greater cost sharing for Medicare Advantage plan enrollees.

Medicare Advantage Health Risk Assessments Contribute Up To $12 Billion Per Year To Risk-Adjusted Payments.

With Medicare Advantage (MA) enrollment surpassing 50 percent of Medicare beneficiaries, accurate risk-adjusted plan payment rates are essential. However, artificially exaggerated coding intensity, where plans seek to enhance measured health risk through the addition or inflation of diagnoses, may threaten payment rate integrity. One factor that may play a role in escalating coding intensity is health risk assessments (HRAs)-typically in-home reviews of enrollees' health status-that enable plans to capture information about their enrollees. In this study, we evaluated the impact of HRAs on Hierarchical Condition Categories (HCC) risk scores, variation in this impact across contracts, and the aggregate payment impact of HRAs, using 2019 MA encounter data. We found that 44.4 percent of MA beneficiaries had at least one HRA. Among those with at least one HRA, HCC scores increased by 12.8 percent, on average, as a result of HRAs. More than one in five enrollees had at least one additional HRA-captured diagnosis, which raised their HCC score. Potential scenarios restricting the risk-score impact of HRAs correspond with $4.5-$12.3 billion in reduced Medicare spending in 2020. Addressing increased coding intensity due to HRAs will improve the value of Medicare spending and ensure appropriate payment in the MA program.

Predictors of adherence to direct oral anticoagulants after cardiovascular or bleeding events in Medicare Advantage Plan enrollees with atrial fibrillation.

BACKGROUND: Direct oral anticoagulants (DOACs) are recommended for patients with atrial fibrillation (AF) given their improved safety profile. Suboptimal adherence to DOACs remains a significant concern among individuals with AF. However, the extent of adherence to DOACs following a cardiovascular or bleeding event has not been fully evaluated. OBJECTIVE: To evaluate the pattern of adherence trajectories of DOACs after a cardiovascular or bleeding event and to investigate the sociodemographic and clinical predictors associated with each adherence trajectory by using claims-based data. METHODS: This retrospective study was conducted among patients with AF prescribed with DOACs (dabigatran/apixaban/rivaroxaban) between July 2016 and December 2017 and who were continuously enrolled in the Texas-based Medicare Advantage Plan. Patients who experienced a cardiovascular or bleeding event while using the DOACs were further included in the analysis. The sample was limited to patients who experienced a clinical event such as a cardiovascular or bleeding event while using the DOACs. The clinical events considered in this study were cardiovascular (stroke, congestive heart failure, myocardial infarction, systemic embolism) and bleeding events. To assess adherence patterns, each patient with a DOAC prescription was followed up for a year after experiencing a clinical event. The monthly adherence to DOACs after these events was evaluated using the proportion of days covered (PDC). A group-based trajectory model incorporated the monthly PDC to classify groups of patients based on their distinct patterns of adherence. Predictors associated with each trajectory were assessed using a multinomial logistic regression model, with the adherent trajectory serving as the reference group in the outcome variable. RESULTS: Among the 694 patients with AF who experienced clinical events after the initiation of DOACs, 3 distinct adherence trajectories were identified: intermediate nonadherent (30.50%), adherent (37.7%), and low adherent (31.8%); the mean PDC was 0.47 for the intermediate nonadherent trajectory, 0.93 for the adherent trajectory, and 0.01 for low adherent trajectory. The low-income subsidy was significantly associated with lower adherence trajectories (odds ratio [OR] = 4.81; 95% CI = 3.07-7.51) and with intermediate nonadherent trajectories (OR = 1.57; 95% CI = 1.06-2.34). Also, nonsteroidal anti-inflammatory drug use was significantly associated with lower adherence trajectories (OR = 5.10; 95% CI = 1.95-13.36) and intermediate nonadherent trajectories (OR = 3.17; 95% CI = 1.26-7.93). Other predictors significantly associated with both nonadherent trajectories are type of DOACs (OR = 0.53; 95% CI = 0.35-0.79), presence of coronary artery disease (OR = 1.89; 95% CI = 1.01-3.55), and having 2 or more clinical events (OR = 1.65; 95% CI = 1.09-2.50). CONCLUSIONS: Predictors identified provide valuable insights into the suboptimal adherence of DOACs among Medicare Advantage Plan enrollees with AF, which can guide the development of targeted interventions to enhance adherence in this high-risk patient population.

Racial/Ethnic Disparities in Hospital Readmission and Frequent Hospitalizations Among Medicare Beneficiaries With Alzheimer's Disease and Related Dementia: Traditional Medicare Versus Medicare Advantage.

OBJECTIVES: Examine racial/ethnic disparities in 30-day readmission and frequent hospitalizations among Medicare beneficiaries with dementia in traditional Medicare (TM) versus Medicare Advantage (MA). METHODS: In this case-control study, we used 2018-2019 TM and MA claims data. Participants included individuals 65+ with 2 years of continuous enrollment, diagnosis of dementia, a minimum of 4 office visits in 2018, and at least 1 hospitalization in 2019, (cases: TM [n = 36,656]; controls: MA [n = 29,366]). We conducted matching based on health-need variables and applied generalized linear models adjusting for demographics, health-related variables, and healthcare encounters. RESULTS: TM was associated with higher odds of 30-day readmission (OR = 1.07 [CI: 1.02 to 1.12]) and frequent hospitalizations (OR = 1.10 [CI: 1.06 to 1.14]) compared to MA. Hispanic and Black enrollees in TM had higher odds of frequent hospitalizations compared with Hispanic and Black enrollees in MA, respectively (OR = 1.35 [CI: 1.19 to 1.54]) and (OR = 1.26 [CI: 1.13 to 1.40]). MA was associated with lower Hispanic-White and Black-White disparities in frequent hospitalizations by 5.8 (CI: -0.09 to -0.03) and 4.4 percentage points (PP; CI: -0.07 to -0.02), respectively. For 30-day readmission, there was no significant difference between Black enrollees in TM and MA (OR = 1.04 [CI: 0.92 to 1.18]), but Hispanic enrollees in TM had higher odds of readmission than Hispanics in MA (OR = 1.23 [CI: 1.06 to 1.43]). MA was associated with a lower Hispanic-White disparity in readmission by 1.9 PP (CI: -0.004 to -0.01). DISCUSSION: MA versus TM was associated with lower risks of 30-day readmission and frequent hospitalizations. Moreover, MA substantially reduced Hispanic-White and Black-White disparities in frequent hospitalizations compared with TM.

Budget Impact Analysis of Circulating Tumor DNA Testing for Colon Cancer in Commercial Health and Medicare Advantage Plans.

Importance: In a randomized clinical trial, treatment guided by tumor-informed circulating tumor (ct)DNA testing reduced adjuvant chemotherapy use without compromising recurrence-free survival in patients with stage II colon cancer. The potential effects of adopting ctDNA testing into routine patient care is unknown. Objective: To compare the total cost of patient care scenarios with and without the adoption of ctDNA testing. Design, Setting, and Participants: This budget impact analysis was conducted from the perspectives of US commercial health and Medicare Advantage payers. A decision-analytical model was populated with age-specific incidence of colon cancer, use of adjuvant chemotherapy, and use of single-agent or multiagent regimens. Total cost was estimated with the costs of ctDNA testing, drug acquisition, administration, surveillance, and adverse events. The analysis was conducted from September 2023 to January 2024. Exposures: The adoption of ctDNA testing. Main Outcomes and Measures: The incremental cost in the first year following the adoption of ctDNA testing, where testing will affect patient treatment and costs. Results: In hypothetical plans with 1 million individuals covered, 35 commercial health plan members and 102 Medicare Advantage members aged 75 years and younger were eligible for ctDNA testing. In the base case with a 50% adoption rate, total cost savings were $221 684 (equivalent to $0.02 per member per month [PMPM]) for a commercial payer and $116 720 (equivalent to $0.01 PMPM) for a Medicare Advantage payer. Cost savings were robust to variations in assumptions of all parameters in the commercial population but sensitive to variations in assumptions of adjuvant chemotherapy use rates in the Medicare Advantage population. The number needed to test to avoid 1 patient receiving adjuvant chemotherapy was 4 in the commercial population and 10 in the Medicare Advantage population. The budget-neutral cost for ctDNA testing was $16 202 for a commercial payer and $5793 for a Medicare Advantage payer. Conclusions and Relevance: Use of tumor-informed ctDNA testing to guide adjuvant chemotherapy in postsurgery patients with stage II colon cancer was projected to result in cost savings for both commercial and Medicare Advantage payers. Adoption of ctDNA testing is therefore advantageous from a budgetary perspective.

Which medicare advantage enrollees are at highest one-year mortality risk?

BACKGROUND: While a number of tools exist to predict mortality among older adults, less research has described the characteristics of Medicare Advantage (MA) enrollees at higher risk for 1 year mortality. OBJECTIVES: To describe the characteristics of MA enrollees at higher mortality risk using patient survey data. RESEARCH DESIGN: Retrospective cohort. SUBJECTS: MA enrollees completing the 2019 MA Consumer Assessment of Healthcare Providers and Systems (CAHPS) Survey. MEASURES: Linked demographic, health, and mortality data from a sample of MA enrollees were used to predict 1-year mortality risk and describe enrollee characteristics across levels of predicted mortality risk. RESULTS: The mortality model had a 0.80 c-statistic. Mortality risks were skewed: 6 % of enrollees had a ≥ 10 % 1-year mortality risk, while 45 % of enrollees had 1 % to < 5 % 1-year mortality risk. Among the high-risk (≥10 %) group, 47 % were age 85+ versus 12 % among those with mortality risk <5 %. 79 % were in fair or poor self-rated health versus 29 % among those with mortality risk of <5 %. 71 % reported needing urgent care in the prior 6 months versus 40 % among those with a mortality risk of 1 to<5 %. CONCLUSIONS: Relatively few older adults enrolled in MA are at high 1-year mortality risk. Nonetheless, MA enrollees over age 85, in fair or poor health, or with recent urgent care needs are far more likely to be in a high mortality risk group.

Medication adherence star ratings measures, health care resource utilization, and cost.

OBJECTIVE: To examine the association between missed CMS Star Ratings quality measures for medication adherence over 3 years for diabetes, hypertension, and hyperlipidemia medications (9 measures) and health care utilization and relative costs. STUDY DESIGN: Retrospective cohort study. METHODS: The study examined eligible patients who qualified for the diabetes, statin, and renin-angiotensin system antagonist medication adherence measures in 2018, 2019, and 2020 and were continuously enrolled in a Medicare Advantage prescription drug plan from 2017 through 2021. A total of 103,900 patients were divided into 4 groups based on the number of adherence measures missed (3 medication classes over 3 years): (1) missed 0 measures, (2) missed 1 measure, (3) missed 2 or 3 measures, and (4) missed 4 or more measures. To achieve a quality measure, patients had to meet the Pharmacy Quality Alliance 80% threshold of proportion of days covered during the calendar year. RESULTS: The mean age of the cohort was 71.1 years, and 49.9% were female. Compared with patients who missed 0 of 9 adherence measures, those who missed 1 measure, 2 or 3 measures, and 4 or more measures experienced 12% to 26%, 22% to 42%, and 24% to 50% increased risks, respectively, of all-cause and diabetes-related inpatient stays and all-cause and diabetes-related emergency department visits (all  P  values < .01). Additionally, patients who missed 1, 2 or 3, and 4 or more adherence measures experienced 14%, 19%, and 20% higher monthly medical costs, respectively. CONCLUSIONS: Missing Star Ratings quality measures for medication adherence was associated with an increased likelihood of health care resource utilization and increased costs for patients taking medications to treat diabetes, hypertension, and hyperlipidemia.

Traditional Medicare supplemental insurance and the rise of Medicare Advantage.

OBJECTIVES: Most Medicare beneficiaries obtain supplemental insurance or enroll in Medicare Advantage (MA) to protect against potentially high cost sharing in traditional Medicare (TM). We examined changes in Medicare supplemental insurance coverage in the context of MA growth. STUDY DESIGN: Repeated cross-sectional analysis of the Medicare Current Beneficiary Survey from 2005 to 2019. METHODS: We determined whether Medicare beneficiaries 65 years and older were enrolled in MA (without Medicaid), TM without supplemental coverage, TM with employer-sponsored supplemental coverage, TM with Medigap, or Medicaid (in TM or MA). RESULTS: From 2005 to 2019, beneficiaries with TM and supplemental insurance provided by their former (or current) employer declined by approximately half (31.8% to 15.5%) while the share in MA (without Medicaid) more than doubled (13.4% to 35.1%). The decline in supplemental employer-sponsored insurance use was greater for White and for higher-income beneficiaries. Over the same period, beneficiaries in TM without supplemental coverage declined by more than a quarter (13.9% to 10.1%). This decline was largest for Black, Hispanic, and lower-income beneficiaries. CONCLUSIONS: The rapid rise in MA enrollment from 2005 to 2019 was accompanied by substantial changes in supplemental insurance with TM. Our results emphasize the interconnectedness of different insurance choices made by Medicare beneficiaries.

Impact of overdose on health plan disenrollment among patients prescribed long-term opioids: Retrospective cohort study.

CONTEXT: Health plan disenrollment may disrupt chronic or preventive care for patients prescribed long-term opioid therapy (LTOT). PURPOSE: To assess whether overdose events in patients prescribed LTOT are associated with subsequent health plan disenrollment. DESIGN: Retrospective cohort study. SETTING AND DATASET: Data from the Optum Labs Data Warehouse which includes de-identified medical and pharmacy claims and enrollment records for commercial and Medicare Advantage enrollees. The database contains longitudinal health information on patients, representing a mixture of ages and geographical regions across the United States. PATIENTS: Adults prescribed stable opioid therapy (≥10 morphine milligram equivalents/day) for a 6-month baseline period prior to an index opioid prescription from January 1, 2018 to December 31, 2018. MAIN MEASURES: Health plan disenrollment during follow-up. RESULTS: The cohort comprised 404,151 patients who were followed up after 800,250 baseline periods of stable opioid dosing. During a mean follow-up of 9.1 months, unadjusted disenrollment rates among primary commercial beneficiaries and Medicare Advantage enrollees were 37.2 and 13.9 per 100 person-years, respectively. Incident overdoses were associated with subsequent health plan disenrollment with a statistically significantly stronger association among primary commercial insurance beneficiaries [adjusted incidence rate ratio (aIRR) 1.48 (95% CI: 1.33-1.64)] as compared to Medicare Advantage enrollees [aIRR 1.15 (95% CI: 1.07-1.23)]. CONCLUSIONS: Among patients prescribed long-term opioids, overdose events were strongly associated with subsequent health plan disenrollment, especially among primary commercial insurance beneficiaries. These findings raise concerns about the social consequences of overdose, including potential health insurance loss, which may limit patient access to care at a time of heightened vulnerability.

An assessment of the association between patient characteristics and timely lung cancer treatment.

PURPOSE: Prior data have demonstrated relationships between patient characteristics, the use of surgery to treat lung cancer, and the timeliness of treatment. Our study examines whether these relationships were observable in 2019 in patients with Medicare Advantage health plans being treated for lung cancer. METHODS: Claims data pertaining to patients with Medicare Advantage health plans who had received radiation therapy (RT) or surgery to treat lung cancer within 90 days of diagnostic imaging were extracted. Other databases were used to determine patients' demographics, comorbidities, the urbanicity of their ZIP code, the median income of their ZIP code, and whether their treatment was ordered by a physician at a hospital. Multivariable logistic and Cox Proportional Hazards models were used to assess the association between patient characteristics, receipt of surgery, and time to non-systemic treatment (surgery or RT), respectively. RESULTS: A total of 2,682 patients were included in the analysis. In an adjusted analysis, patients were significantly less likely to receive surgery if their first ordering physician was based in a hospital, if they were older, if they had a history of congestive heart failure (CHF), if they had a history of chronic obstructive pulmonary disease, or if they had stage III lung cancer. Likewise, having stage III cancer was associated with significantly shorter time to treatment. CONCLUSIONS: Within a Medicare Advantage population, patient demographics were found to be significantly associated with the decision to pursue surgery, but factors other than stage were not significantly associated with time to non-systemic treatment.

Patterns of care and costs of switching oral antipsychotic medications in patients with schizophrenia initiating monotherapy treatment: A US claims analysis.

BACKGROUND: Antipsychotic medications are the mainstay of schizophrenia therapy but may need to be changed over the course of a patient's illness to achieve the desired therapeutic goals or minimize medication side effects. Investigations of real-world treatment patterns and economic consequences associated with antipsychotic changes, including switching, are limited. OBJECTIVE: To describe treatment patterns among patients with schizophrenia who initiated oral antipsychotic medication (OAM) monotherapy and assess switching-related health care resource utilization (HCRU) and costs in US Medicare Advantage and commercially insured patients. METHODS: Adults with at least 2 claims with a schizophrenia diagnosis who initiated (or reinitiated after ≥6 months) OAM monotherapy between January 1, 2015, and June 30, 2021, were identified in the Optum Research Database. A claims-based algorithm using timing of therapies and treatment gaps identified medication changes, specifically OAM monotherapy switches, among OAM initiators over a period of up to 7 years. Patients who switched from their initial OAM monotherapy to a second OAM monotherapy (initial OAM switchers) were matched based on clinical and demographic characteristics to OAM initiators who had not switched OAMs; switch-related HCRU and costs (incurred up to 3 months before and 3 months after the initial OAM switch) were compared between matched initial OAM switchers and nonswitchers. RESULTS: Among 6,425 OAM monotherapy initiators, 1,505 (23.4%) had at least 1 OAM monotherapy switch at any time during follow-up, with a mean (SD) time to first switch of 209 (333) days (median, 67 days), a rate of 0.65 switches per person-year of follow-up, and 56% of first switches occurring within 3 months of OAM initiation. Of all OAM initiators, 947 (14.7%) were initial OAM switchers. Compared with 865 matched nonswitchers, 865 initial OAM switchers had greater mean counts of all-cause medical visits and greater mean counts of schizophrenia-related emergency and inpatient visits and longer inpatient stays per patient per month. Mean (SD) total schizophrenia-related costs per patient per month were $1,252 ($2,602) for switchers compared with $402 ($2,027) for nonswitchers (P < 0.001). CONCLUSIONS: Changes to antipsychotic therapy in our sample of patients with schizophrenia were common, with nearly one-fourth switching OAMs, the majority within the first 3 months of therapy. Initial OAM switchers experienced greater HCRU and costs than nonswitchers. These findings highlight the importance of initiating OAM monotherapy that effectively maintains symptom control and minimizes tolerability issues, which would limit the need to switch OAMs and therefore prevent excess HCRU and treatment costs.

Long-term outcomes after rehabilitation in Medicare Advantage and fee-for-service beneficiaries.

BACKGROUND: Financial incentives in capitated Medicare Advantage (MA) plans may lead to inadequate rehabilitation. We therefore investigated if MA enrollees had worse long-term physical performance and functional outcomes after rehabilitation. METHODS: We conducted a retrospective cohort study of Medicare beneficiaries in the nationally representative National Health and Aging Trends Study. We compared MA and fee-for-service (FFS) beneficiaries reporting rehabilitation between 2014 and 2017 by change in (1) Short Physical Performance Battery (SPPB) and (2) NHATS-derived Functional Independence Measure (FIM) from the previous year, using t-tests incorporating inverse-probability weighting and complex survey design. Secondary outcomes were self-reported: (1) improved function during rehabilitation, (2) worse function since rehabilitation ended, (3) meeting rehabilitation goals, and (4) meeting insurance limits. RESULTS: Among 738 MA and 1488 FFS participants, weighted mean age was 76 years (SD 7.0), 59% were female, and 9% had probable dementia. MA beneficiaries were more likely to be Black (9% vs. 6%) or Hispanic/other race (15% vs. 10%), be on Medicaid (14% vs. 10%), have lower income (median $35,000 vs. $48,000), and receive <1 month of rehabilitation (30% vs. 23%). MA beneficiaries had a similar decline in SPPB (-0.46 [SD 1.8] vs. -0.21 [SD 2.7], p-value 0.069) and adapted FIM (-1.05 [SD 3.7] vs. -1.13 [SD 5.45], p-value 0.764) compared to FFS. MA beneficiaries were less likely to report improved function during rehabilitation (61% [95% CI 56-67] vs. 70% [95% CI 67-74], p-value 0.006). Other outcomes and analyses restricted to inpatient rehabilitation participants were non-significant. CONCLUSIONS AND RELEVANCE: MA enrollment was associated with lower likelihood of self-reported functional improvement during rehabilitation but no clinically or statistically significant differences in annual changes of physical performance or function. As MA expands, future studies must monitor implications on rehabilitation coverage and older adults' independence.