Relationship between Hospital 30-Day Mortality Rates for Heart Failure and Patterns of Early Inpatient Comfort Care.

BACKGROUND: The Centers for Medicare & Medicaid Services rewards hospitals that have low 30-day riskstandardized mortality rates (RSMR) for heart failure (HF). OBJECTIVE: To describe the use of early comfort care for patients with HF, and whether hospitals that more commonly initiate comfort care have higher 30-day mortality rates. DESIGN: A retrospective, observational study. SETTING: Acute care hospitals in the United States. PATIENTS: A total of 93,920 fee-for-service Medicare beneficiaries admitted with HF from January 2008 to December 2014 to 272 hospitals participating in the Get With The Guidelines-Heart Failure registry. EXPOSURE: Early comfort care (defined as comfort care within 48 hours of hospitalization) rate. MEASUREMENTS: A 30-day RSMR. RESULTS: Hospitals' early comfort care rates were low for patients admitted for HF, with no change over time (2.5% to 2.6%, from 2008 to 2014, P = .56). Rates varied widely (0% to 40%), with 14.3% of hospitals not initiating comfort care for any patients during the first 2 days of hospitalization. Risk-standardized early comfort care rates were not correlated with RSMR (median RSMR = 10.9%, 25th to 75th percentile = 10.1% to 12.0%; Spearman's rank correlation = 0.13; P = .66). CONCLUSIONS: Hospital use of early comfort care for HF varies, has not increased over time, and on average, is not correlated with 30-day RSMR. This suggests that current efforts to lower mortality rates have not had unintended consequences for hospitals that institute early comfort care more commonly than their peers.

Association of the Hospital Readmissions Reduction Program Implementation With Readmission and Mortality Outcomes in Heart Failure.

Importance: Public reporting of hospitals' 30-day risk-standardized readmission rates following heart failure hospitalization and the financial penalization of hospitals with higher rates have been associated with a reduction in 30-day readmissions but have raised concerns regarding the potential for unintended consequences. Objective: To examine the association of the Hospital Readmissions Reduction Program (HRRP) with readmission and mortality outcomes among patients hospitalized with heart failure within a prospective clinical registry that allows for detailed risk adjustment. Design, Setting, and Participants: Interrupted time-series and survival analyses of index heart failure hospitalizations were conducted from January 1, 2006, to December 31, 2014. This study included 115 245 fee-for-service Medicare beneficiaries across 416 US hospital sites participating in the American Heart Association Get With The Guidelines-Heart Failure registry. Data analysis took place from January 1, 2017, to June 8, 2017. Exposures: Time intervals related to the HRRP were before the HRRP implementation (January 1, 2006, to March 31, 2010), during the HRRP implementation (April 1, 2010, to September 30, 2012), and after the HRRP penalties went into effect (October 1, 2012, to December 31, 2014). Main Outcomes and Measures: Risk-adjusted 30-day and 1-year all-cause readmission and mortality rates. Results: The mean (SD) age of the study population (n = 115 245) was 80.5 (8.4) years, 62 927 (54.6%) were women, and 91 996 (81.3%) were white and 11 037 (9.7%) were black. The 30-day risk-adjusted readmission rate declined from 20.0% before the HRRP implementation to 18.4% in the HRRP penalties phase (hazard ratio (HR) after vs before the HRRP implementation, 0.91; 95% CI, 0.87-0.95; P < .001). In contrast, the 30-day risk-adjusted mortality rate increased from 7.2% before the HRRP implementation to 8.6% in the HRRP penalties phase (HR after vs before the HRRP implementation, 1.18; 95% CI, 1.10-1.27; P < .001). The 1-year risk-adjusted readmission and mortality rates followed a similar pattern as the 30-day outcomes. The 1-year risk-adjusted readmission rate declined from 57.2% to 56.3% (HR, 0.92; 95% CI, 0.89-0.96; P < .001), and the 1-year risk-adjusted mortality rate increased from 31.3% to 36.3% (HR, 1.10; 95% CI, 1.06-1.14; P < .001) after vs before the HRRP implementation. Conclusions and Relevance: Among fee-for-service Medicare beneficiaries discharged after heart failure hospitalizations, implementation of the HRRP was temporally associated with a reduction in 30-day and 1-year readmissions but an increase in 30-day and 1-year mortality. If confirmed, this finding may require reconsideration of the HRRP in heart failure.

Temporal Trends and Variation in Early Scheduled Follow-Up After a Hospitalization for Heart Failure: Findings from Get With The Guidelines-Heart Failure.

BACKGROUND: Previous data demonstrate early follow-up (ie, within 7 days of discharge) after a hospitalization for heart failure is associated with a lower risk of readmission, yet is uncommon and varies widely across hospitals. Limited data exist on whether the use of early follow-up after discharge has improved over time. METHODS AND RESULTS: We used data from Get With The Guidelines-Heart Failure (GWTG-HF) linked to Medicare claims to examine temporal trends in early follow-up and to assess for patient and hospital characteristics associated with early scheduled follow-up. In the overall GWTG-HF cohort, we studied 52,438 patients discharged from 239 hospitals from 2009 to 2012. Scheduled early follow-up at the time of hospital discharge rose from 51% to 65% over time (P<0.001). After multivariable adjustment, patients with older age (odds ratio, 1.04; 95% confidence interval, 1.01-1.07), certain comorbidities (anemia, diabetes mellitus, and chronic kidney disease), and the use of anticoagulation at discharge (odds ratio, 1.16; 95% confidence interval, 1.11-1.22) were associated with greater likelihood for early scheduled follow-up. Patients treated in hospitals located in the Midwest (odds ratio, 0.67; 95% confidence interval, 0.50-0.91) were less likely to have early scheduled follow-up. In a subset of patients with linked Medicare claims, we observed smaller improvements in actual early follow-up visits over time from 26% to 30% (P=0.005). CONCLUSIONS: From 2009 to 2012, there was improvement in early scheduled outpatient follow-up and, in the subset analyzed, improvement in actual early follow-up visits for hospitalized patients with heart failure. However, substantial opportunities remain for improving heart failure transitional care.

Perception Versus Actual Performance in Timely Tissue Plasminogen Activation Administration in the Management of Acute Ischemic Stroke.

BACKGROUND: Timely thrombolytic therapy can improve stroke outcomes. Nevertheless, the ability of US hospitals to meet guidelines for intravenous tissue plasminogen activator (tPA) remains suboptimal. What is unclear is whether hospitals accurately perceive their rate of tPA "door-to-needle" (DTN) time within 60 minutes and how DTN rates compare across different hospitals. METHODS AND RESULTS: DTN performance was defined by the percentage of treated patients who received tPA within 60 minutes of arrival. Telephone surveys were obtained from staff at 141 Get With The Guidelines hospitals, representing top, middle, and low DTN performance. Less than one-third (29.1%) of staff accurately identified their DTN performance. Among middle- and low-performing hospitals (n=92), 56 sites (60.9%) overestimated their performance; 42% of middle performers and 85% of low performers overestimated their performance. Sites that overestimated tended to have lower annual volumes of tPA administration (median 8.4 patients [25th to 75th percentile 5.9 to 11.8] versus 10.2 patients [25th to 75th percentile 8.2 to 17.3], P=0.047), smaller percentages of eligible patients receiving tPA (84.7% versus 89.8%, P=0.008), and smaller percentages of DTN ≤60 minutes among treated patients (10.6% versus 16.6%, P=0.002). CONCLUSIONS: Hospitals often overestimate their ability to deliver timely tPA to treated patients. Our findings indicate the need to routinely provide comparative provider performance rates as a key step to improving the quality of acute stroke care.

Outcomes in patients with heart failure with preserved, borderline, and reduced ejection fraction in the Medicare population.

BACKGROUND: Studies on outcomes among patients with heart failure (HF) with preserved left ventricular ejection fraction (HFpEF), borderline left ventricular ejection fraction (HFbEF), and reduced left ventricular ejection fraction (HFrEF) remain limited. We sought to characterize mortality and readmission in patients with HF in the contemporary era. METHODS: Get With The Guidelines-HF was linked to Medicare data for longitudinal follow-up. Patients were grouped into HFpEF (left ventricular ejection fraction [EF] ≥ 50%), HFbEF (40% ≤ EF < 50%), and HFrEF (EF < 40%). Multivariable models were constructed to examine the relationship between EF and outcomes at 30 days and 1 year and to study trends over time. RESULTS: A total of 40,239 patients from 220 hospitals between 2005 and 2011 were included in the study: 18,897 (47%) had HFpEF, 5,626 (14%) had HFbEF, and 15,716 (39%) had HFrEF. In crude survival analysis, patients with HFrEF had slightly increased mortality compared with HFbEF and HFpEF. After risk adjustment, mortality at 1 year was not significantly different for HFrEF, HFbEF, and HFpEF (HFrEF vs HFpEF, hazard ratio [HR] 1.040 [95% CI 0.998-1.084], and HFbEF vs HFpEF, HR 0.967 [95% CI 0.917-1.020]). Patients with HFpEF had increased risk of all-cause readmission compared with HFrEF. Conversely, risk of cardiovascular and HF readmissions were higher in HFrEF and HFbEF compared with HFpEF. CONCLUSIONS: Among patients hospitalized with HF, patients with HFpEF and HFbEF had slightly lower mortality and higher all-cause readmission risk than patients with HFrEF, although the mortality differences did not persist after risk adjustment. Irrespective of EF, these patients experience substantial mortality and readmission highlighting the need for new therapeutic strategies.