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Background: Timely heart failure (HF) diagnosis can lead to earlier intervention and reduced morbidity. Among historically marginalized patients, new-onset HF diagnosis is more likely to occur in acute care settings (emergency department or inpatient hospitalization) than outpatient settings. Whether inequity within outpatient clinician practices affects diagnosis settings is unknown., Methods: We determined the setting of incident HF diagnosis among Medicare fee-for-service beneficiaries between 2013 and 2017. We identified sociodemographic and medical characteristics associated with HF diagnosis in the acute care setting. Within each outpatient clinician practice, we compared acute care diagnosis rates across sociodemographic characteristics: female versus male sex, non-Hispanic White versus other racial and ethnic groups, and dual Medicare-Medicaid eligible (a surrogate for low income) versus nondual-eligible patients. Based on within-practice differences in acute diagnosis rates, we stratified clinician practices by equity (high, intermediate, and low) and compared clinician practice characteristics., Results: Among 315 439 Medicare patients with incident HF, 173 121 (54.9%) were first diagnosed in acute care settings. Higher adjusted acute care diagnosis rates were associated with female sex (6.4% [95% CI, 6.1%-6.8%]), American Indian (3.6% [95% CI, 1.1%-6.1%]) race, and dual eligibility (4.1% [95% CI, 3.7%-4.5%]). These differences persisted within clinician practices. With clinician practice adjustment, dual-eligible patients had a 4.9% (95% CI, 4.5%-5.4%) greater acute care diagnosis rate than nondual-eligible patients. Clinician practices with greater equity across dual eligibility also had greater equity across sex and race and ethnicity and were more likely to be composed of predominantly primary care clinicians., Conclusions: Differences in HF diagnosis rates in the acute care setting between and within clinician practices highlight an opportunity to improve equity in diagnosing historically marginalized patients., Competing Interests: Disclosures Dr Sandhu has consulted for Lexicon Pharmaceuticals and received research funding from Novartis. Dr Stafford serves as a medical advisor to Age Bold Inc, which is developing online programming for patients with heart failure. The other authors report no conflicts.

Background: Early heart failure (HF) recognition can reduce morbidity, yet HF is often initially diagnosed only after a patient clinically worsens. We sought to identify characteristics that predict diagnosis in the acute care setting versus the outpatient setting., Methods: We estimated the proportion of incident HF diagnosed in the acute care setting (inpatient hospital or emergency department) versus outpatient setting based on diagnostic codes from a claims database covering commercial insurance and Medicare Advantage between 2003 and 2019. After excluding new-onset HF potentially caused by a concurrent acute cause (eg, acute myocardial infarction), we identified demographic, clinical, and socioeconomic predictors of diagnosis setting. Patients were linked to their primary care clinicians to evaluate diagnosis setting variation across clinicians., Results: Of 959 438 patients with new HF, 38% were diagnosed in acute care. Of these, 46% had potential HF symptoms in the prior 6 months. Over time, the relative odds of acute care diagnosis increased by 3.2% annually after adjustment for patient characteristics (95% CI, 3.1%-3.3%). Acute care diagnosis setting was more likely for women compared with men (adjusted odds ratio, 1.11 [95% CI, 1.10-1.12]) and for Black patients compared with White patients (adjusted odds ratio, 1.18 [95% CI, 1.16-1.19]). The proportion of acute care diagnosis varied substantially (interquartile range: 24%-39%) among clinicians after adjusting for patient-level risk factors., Conclusions: A large proportion of first HF diagnoses occur in the acute care setting, particularly among women and Black patients, yet many had potential HF symptoms in the months before acute care visits. These results raise concerns that many HF diagnoses are missed in the outpatient setting. Earlier diagnosis could allow for timelier high-value interventions, addressing disparities and reducing the progression of HF.

Importance: The Merit-based Incentive Payment System (MIPS), established as part of the Quality Payment Program, is a Medicare value-based payment program that evaluates clinicians' performance across 4 categories: quality, cost, promoting interoperability, and improvement activities. The cost category includes novel episode-based measures designed for targeted evaluation of the resource use of specific conditions. This report describes the development of episode-based cost measures and their role in the shift from volume-based to value-based purchasing., Objectives: Episode-based cost measures focus on resource use related to the treatment of a specific condition or procedure. The measures exclude health care costs unrelated to the condition or procedure of focus. The episode-based cost measures provide a nuanced examination of resource use that can be used alongside quality metrics to identify opportunities to improve the value by capturing costs that are clinically related to the care being delivered within a given patient-clinician relationship of care delivered to patients. These measures were developed with the input of clinical committees composed of over 320 clinicians from 127 specialty societies and stakeholder organizations. The MIPS program currently evaluates clinician cost category performance based on 2 population-based cost measures (Medicare spending per beneficiary and total per capita costs) in addition to 18 episode-based cost measures. Additional episode-based cost measures are currently under development., Conclusions and Relevance: The transition to value-based payment requires an accurate assessment of clinician effect on health care quality and cost. The use of episode-based cost measures to assess clinician influence on health care costs for high-priority conditions and procedures is an important step. The Centers for Medicare & Medicaid Services is introducing MIPS Value Pathways that will align episode-based cost measures with related quality measures to further incentivize the transition from fee-for-service to value-based care.

Medicare's Merit-based Incentive Payment System (MIPS) includes episode-based cost measures that evaluate Medicare expenditures for specific conditions and procedures. These measures compare clinicians' cost performance and, along with other MIPS category scores, determine Medicare Part B clinician payment adjustments. The measures do not include risk adjustment for social risk factors. We found that adjusting for individual and community social risk did not have a meaningful impact on clinicians' cost measure performance. Across eight cost measures, 1.4 percent of clinician groups, on average, had an absolute change in their cost measure performance percentile of 10 percent or more (range, 0.4-3.4 percent). Prior analyses have generally found higher health care costs for patients with increased social risk. MIPS episode-based cost measures are distinct from previous cost measures because they only include costs related to the specific condition being evaluated. This unique approach may explain why costs were similar for patients with high and low social risk before any risk adjustment. MIPS episode-based cost measures do not appear to penalize clinicians who primarily care for patients with increased social risk.

BACKGROUND: Coronary artery disease (CAD) testing remains underutilized in patients with newly diagnosed heart failure (HF). The longitudinal clinical impact of early CAD testing has not been well-characterized. We investigated changes in clinical management and long-term outcomes after early CAD evaluation in patients with incident HF. METHODS: We identified Medicare patients with incident HF from 2006 to 2018. The exposure variable was early CAD testing within 1 month of initial HF diagnosis. Covariate-adjusted rates of cardiovascular interventions after testing, including CAD-related management, were modeled using mixed-effects regression with clinician as a random intercept. We assessed mortality and hospitalization outcomes using landmark analyses with inverse probability-weighted Cox proportional hazards models. Falsification end points and mediation analysis were employed for bias assessment. RESULTS: Among 309 559 patients with new-onset HF without prior CAD, 15.7% underwent early CAD testing. Patients who underwent prompt CAD evaluation had higher adjusted rates of subsequent antiplatelet/statin prescriptions and revascularization, guideline-directed therapy for HF, and stroke prophylaxis for atrial fibrillation/flutter than controls. In weighted Cox models, 1-month CAD testing was associated with significantly reduced all-cause mortality (hazard ratio, 0.93 [95% CI, 0.91–0.96]). Mediation analyses indicated that ≈70% of this association was explained by CAD management, largely from new statin prescriptions. Falsification end points (outpatient diagnoses of urinary tract infection and hospitalizations for hip/vertebral fracture) were nonsignificant. CONCLUSIONS: Early CAD testing after incident HF was associated with a modest mortality benefit, driven mostly by subsequent statin therapy. Further investigation on clinician barriers to testing and treating high-risk patients may improve adherence to guideline-recommended cardiovascular interventions. [ABSTRACT FROM AUTHOR]

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Background: The Merit-Based Incentive Payment System adjusts clinician payments based on a performance score that includes cost measures. With the Centers for Medicare & Medicaid Services, we developed a novel cost measure that compared interventional cardiologists on a targeted set of costs related to elective percutaneous coronary intervention (PCI). We describe the measure and compare it to a hypothetical version including all expenditures post-PCI.Methods: Measure development was guided by 39 clinician experts. They identified services within 30 days of PCI that could be potentially affected by the interventional cardiologist. Expenditures for these PCI-related services were included as measure costs in a process termed service assignment. We used 1 year of Medicare claims to calculate clinician scores using the final measure that included only PCI-related costs (with service assignment) and a hypothetical version that included all costs post-PCI (without service assignment). We calculated reliability for both measures. This marker of precision breaks measure variance into signal (difference between clinicians) versus noise (difference between PCI episodes for a clinician). We also determined the change in clinician performance quintile between measures.Results: We identified 100 992 elective outpatient PCI episodes from May 2, 2016, to May 1, 2017. Total Medicare expenditures within 30 days of PCI averaged $13 234. After excluding costs unrelated to PCI, average cost was $10 966. For individual clinicians, mean reliability for the hypothetical measure without service assignment was 0.36. After service assignment, final measure reliability increased to 0.53. When evaluated as clinician groups, reliability increased from 0.43 to 0.73 following service assignment. Approximately 66% (2340 of 3527) of clinicians were reclassified into a different performance quintile after excluding unrelated costs.Conclusions: The elective outpatient PCI cost measure had increased precision and reclassified clinician performance relative to a hypothetical version that included total expenditures. [ABSTRACT FROM AUTHOR]

Background: Coronary artery disease (CAD) is the most common cause of new-onset heart failure (HF). Although guidelines recommend ischemic evaluation in this population, testing has historically been underutilized.Objectives: This study aimed to identify contemporary trends in CAD testing for patients with new-onset HF, particularly after publication of the STICHES (Surgical Treatment for Ischemic Heart Failure Extension Study), and to characterize geographic and clinician-level variability in testing patterns.Methods: We determined the proportion of patients with incident HF who received CAD testing from 2004 to 2019 using an administrative claims database covering commercial insurance and Medicare. We identified demographic and clinical predictors of CAD testing during the 90 days before and after initial diagnosis. Patients were grouped by their county of residence to assess national variation. Patients were then linked to their primary care physician and/or cardiologist to evaluate variation across clinicians.Results: Among 558,322 patients with new-onset HF, 34.8% underwent CAD testing and 9.3% underwent revascularization. After multivariable adjustment, patients who underwent CAD testing were more likely to be younger, male, diagnosed in an acute care setting, and have systolic dysfunction or recent cardiogenic shock. Incidence of CAD testing remained flat without significant change post-STICHES. Covariate-adjusted testing rates varied from 20% to 45% across counties. The likelihood of testing was higher among patients co-managed by a cardiologist (adjusted OR: 5.12; 95% CI: 4.98-5.27) but varied substantially across cardiologists (IQR: 50.9%-62.4%).Conclusions: Most patients with new-onset HF across inpatient and outpatient settings did not receive timely testing for CAD. Substantial variability in testing persists across regions and clinicians. [ABSTRACT FROM AUTHOR]

Influenza causes substantial mortality, especially among older persons. Influenza vaccines are rarely more than 50% effective and rarely reach more than half of the US Medicare population, which is primarily an aged population. We wished to estimate the association between vaccination and mortality reduction. We used the US Center for Medicare and Medicaid Services (CMS) DataLink Project to determine vaccination status and timing during the 2017–2018 influenza season for more than 26 million Medicare enrollees. Patient-level demographic, health, co-morbidity, hospitalization, vaccination, and healthcare utilization claims data were supplied as covariates to general linear models in order to isolate and estimate the association between participation in the vaccination program and relative risk of death. The 2017–2018 seasonal influenza vaccine reduced (Relative Risk Ratio [RRR] 0.936 [95% CI = 0.918–0.954]) the risk of all-cause death among beneficiaries following a hospitalization for sepsis and moreover the risk of death without a prior hospitalization during the 2.5-month outcome window (RRR 0.870 [95% CI = 0.853–0.887]). We estimate the number needed to vaccinate (NNV) to prevent a death in the ten-week outcome window is between 1,515 beneficiaries (95% CI = 1,351–1,754; derived from the average treatment effect of augmented inverse probability weighting) and 1,960 beneficiaries (95% CI = 1,695–2,381; derived from the average marginal effect of logistic regression). Among beneficiaries requiring hospitalization, the greatest death risk reduction accrued to those 85 + years of age who were hospitalized with sepsis, RRR 0.92 [95% CI = 0.89–0.95]. No apparent benefit was realized by beneficiaries who required custodial (nursing home) care. Seasonal influenza immunization is associated with relative reduction of death risk among non-institutionalized Medicare beneficiaries. All authors are full-time or contractual employees of the United States Federal Government, Department of Health and Human Services, the funding agency. [ABSTRACT FROM AUTHOR]