Publications

BACKGROUND: Heart failure (HF) is the leading cause of morbidity and mortality in the United States. Despite advancement in the management of HF, outcomes remain suboptimal, particularly among the uninsured. In 2014, the Affordable Care Act expanded Medicaid eligibility, and millions of low-income adults gained insurance. Little is known about Medicaid expansion's effect on inpatient HF care.

METHODS AND RESULTS: We used the American Heart Association's Get With The Guidelines-Heart Failure registry to assess changes in inpatient care quality and outcomes among low-income patients (<65 years old) hospitalized for HF after Medicaid expansion, in expansion, and nonexpansion states. Patients were classified as low-income if covered by Medicaid, uninsured, or missing insurance. Expansion states were those that implemented expansion in 2014. Piecewise logistic multivariable regression models were constructed to track quarterly trends of quality and outcome measures in the pre (January 1, 2010-December 31, 2013) and postexpansion (January 1, 2014-June 30, 2017) periods. These measures were compared between expansion versus nonexpansion states during the postexpansion period. The cohort included 58 804 patients hospitalized across 391 sites. In states that expanded Medicaid, uninsured HF hospitalizations declined from 7.9% to 4.4%, and Medicaid HF hospitalizations increased from 18.3% to 34.6%. Defect-free HF care was increasing during the preexpansion period (adjusted odds ratio/quarter, 1.06; 95% confidence interval, 1.03-1.08) but did not change after expansion (adjusted odds ratio, 0.99; 95% confidence interval, 0.97-1.02). Patterns were similar for other quality measures. There were no quality measures for which the rate of improvement sped up after expansion. In-hospital mortality rates remained similar during the preexpansion (adjusted odds ratio, 0.99; 95% confidence interval, 0.96-1.02) and postexpansion periods (adjusted odds ratio, 1.00; 95% confidence interval, 0.97-1.03). Among nonexpansion states, uninsured HF hospitalizations increased (11.6% to 16.7%) as did Medicaid HF hospitalizations (17.9% to 26.6%), and no quarterly improvement was observed for most quality measures in the post compared with preexpansion period. During the postexpansion period, defect-free care and mortality did not differ between expansion and nonexpansion states.

CONCLUSIONS: Medicaid expansion was associated with a significant decline in uninsured HF hospitalizations but not improvements in quality of care or in-hospital mortality among sites participating in a national quality improvement initiative. Efforts beyond insurance expansion are needed to improve in-hospital outcomes for low-income patients with HF.

IMPORTANCE: More than 20 years have passed since public reporting of percutaneous coronary intervention (PCI) outcomes first began in New York State, but reporting remains a polarizing issue.

OBSERVATIONS: Advocates of public reporting point to the strong incentive that public disclosure of outcomes data provides for institutions and clinicians to improve clinical care and to the importance of enabling patients to make informed choices about their care. Critics highlight the methodological challenges that impede fair and accurate assessments of care quality as well as reporting's unintended consequences. Public reporting of PCI outcomes has only been implemented in 5 states, but reporting efforts for multiple conditions and procedures are now proliferating nationally, propelled by the notion that transparency improves the quality of health care and fosters trust in health care institutions. Careful evaluation of the evidence to date for PCI in particular, however, suggests that enthusiasm for such efforts should be tempered.

CONCLUSIONS AND RELEVANCE: Public reporting has not achieved its primary objectives. Policy makers should consider variations of reporting that might strengthen care quality, empower patients, and mitigate undesirable repercussions.

OBJECTIVES: The purpose of this study was to examine the association of 30-day payments for an episode of heart failure (HF) care at the hospital level with patient outcomes.

BACKGROUND: There is increased focus among policymakers on improving value for HF care, given its rising prevalence and associated financial burden in the United States; however, little is known about the relationship between payments and mortality for a 30-day episode of HF care.

METHODS: Using Medicare claims data for all fee-for-service beneficiaries hospitalized for HF between July 1, 2011, and June 30, 2014, we examined the association between 30-day Medicare payments at the hospital level (beginning with a hospital admission for HF and across multiple settings following discharge) and patient 30-day mortality using mixed-effect logistic regression models.

RESULTS: We included 1,343,792 patients hospitalized for HF across 2,948 hospitals. Mean hospital-level 30-day Medicare payments per beneficiary were $15,423 ± $1,523. Overall observed mortality in the cohort was 11.3%. Higher hospital-level 30-day payments were associated with lower patient mortality after adjustment for patient characteristics (odds ratio per $1,000 increase in payments: 0.961; 95% confidence interval [CI]: 0.954 to 0.967). This relationship was slightly attenuated after accounting for hospital characteristics and HF volume, but remained significant (odds ratio per $1,000 increase: 0.968; 95% CI: 0.962 to 0.975). Additional adjustment for potential mediating factors, including cardiac service capability and post-acute service use, did not significantly affect the relationship.

CONCLUSIONS: Higher hospital-level 30-day episode payments were associated with lower patient mortality following a hospitalization for HF. This has implications for policies that incentivize reduction in payments without considering value. Further investigation is needed to understand the mechanisms that underlie this relationship.

BACKGROUND: Recent policy efforts have focused on improving the value of acute myocardial infarction (AMI) care. Medicare payment programs, for example, increasingly evaluate hospital performance based on spending, as determined by payments made to institutions and providers, and outcome measures for a longitudinal episode of AMI care. Little is known about the relationship between total 30-day payments-both in the inpatient and immediate postdischarge timeframe-and outcomes after an admission for AMI.

METHODS AND RESULTS: Using Medicare claims data, we identified Medicare fee-for-service beneficiaries ≥65 years of age who were hospitalized at an acute-care hospital for AMI between July 1, 2011, and June 30, 2014, and examined the association between hospital-level 30-day payments for an episode of AMI care and patient 30-day mortality using mixed regression models with a logit link function and random hospital intercepts. Our cohort included 642 105 index hospitalizations for AMI at 2319 acute-care hospitals. Overall mean 30-day episode payments per beneficiary were $22 128 (SD, $1750). The observed 30-day mortality rate was 12.9%. Higher 30-day payments were associated with lower 30-day mortality after adjustment for patient characteristics and comorbidities (adjusted odds ratio for additional $1000 payments, 0.986; 95% confidence interval, 0.979-0.992; P<0.001). Additional adjustment for potential mediating factors, including hospital characteristics, coronary revascularization rates, and discharge disposition, did not significantly attenuate the relationship (adjusted odds ratio for additional $1000 payments, 0.987; 95% confidence interval, 0.980-0.994; P<0.001).

CONCLUSIONS: Higher hospital-level 30-day payments-both inpatient and in multiple settings after discharge-for AMI care were associated with lower 30-day mortality among beneficiaries. This may have implications for payment programs that incent reduction in payments without considering value.

The Echocardiography Appropriate Use Criteria (EAUC) are a set of indications for transthoracic echocardiography (TTE) developed to guide physician decision making around ordering of TTE. In this study, an automated rule-based method for processing "indications" listed within TTE reports and classification into one of the major EAUC categories was developed and validated against a clinician-annotated reference standard. The system performed at a comparable level to trained physicians allowing for the automated classification of more than 30,000 TTE indications from a public database in less than ten minutes. The most common indication for TTE was Valvular assessment closely followed by General. Hypertension/Heart Failure/Cardiomyopathy, Acute, and Cardiac Structure assessment each contributed more than ten percent within this patient population. These results suggest potential for automated approaches for tracking appropriate use of TTE, as well as guide the development of systems for prospectively identifying when TTE use is recommended.