Admission diagnoses among patients with heart failure: Variation by ACO performance on a measure of risk-standardized acute admission rates

Am Heart J. 2019 Jan:207:19-26. doi: 10.1016/j.ahj.2018.09.006. Epub 2018 Sep 30.

Abstract

Background: A key quality metric for Accountable Care Organizations (ACOs) is the rate of hospitalization among patients with heart failure (HF). Among this patient population, non-HF-related hospitalizations account for a substantial proportion of admissions. Understanding the types of admissions and the distribution of admission types across ACOs of varying performance may provide important insights for lowering admission rates.

Methods: We examined admission diagnoses among 220 Medicare Shared Savings Program ACOs in 2013. ACOs were stratified into quartiles by their performance on a measure of unplanned risk-standardized acute admission rates (RSAARs) among patients with HF. Using a previously validated algorithm, we categorized admissions by principal discharge diagnosis into: HF, cardiovascular/non-HF, and noncardiovascular. We compared the mean admission rates by admission type as well as the proportion of admission types across RSAAR quartiles (Q1-Q4).

Results: Among 220 ACOs caring for 227,356 patients with HF, the median (IQR) RSAARs per 100 person-years ranged from 64.5 (61.7-67.7) in Q1 (best performers) to 94.0 (90.1-99.9) in Q4 (worst performers). The mean admission rates by admission types for ACOs in Q1 compared with Q4 were as follows: HF admissions: 9.8 (2.2) vs 14.6 (2.8) per 100 person years (P < .0001); cardiovascular/non-HF admissions: 11.1 (1.6) vs 15.9 (2.6) per 100 person-years (P < .0001); and noncardiovascular admissions: 42.7 (5.4) vs 69.6 (11.3) per 100 person-years (P < .0001). The proportion of admission due to HF, cardiovascular/non-HF, and noncardiovascular conditions was 15.4%, 17.5%, and 67.1% in Q1 compared with 14.6%, 15.9%, and 69.4% in Q4 (P < .007).

Conclusions: Although ACOs with the best performance on a measure of all-cause admission rates among people with HF tended to have fewer admissions for HF, cardiovascular/non-HF, and noncardiovascular conditions compared with ACOs with the worst performance (highest admission rates), the largest difference in admission rates were for noncardiovascular admission types. Across all ACOs, two-thirds of admissions of patients with HF were for noncardiovascular causes. These findings suggest that comprehensive approaches are needed to reduce the diverse admission types for which HF patients are at risk.

MeSH terms

  • Accountable Care Organizations / classification
  • Accountable Care Organizations / standards
  • Accountable Care Organizations / statistics & numerical data*
  • Aged
  • Algorithms
  • Analysis of Variance
  • Cardiovascular Diseases / diagnosis
  • Cardiovascular Diseases / epidemiology
  • Comorbidity
  • Female
  • Heart Failure / diagnosis
  • Heart Failure / epidemiology*
  • Hospitalization / statistics & numerical data
  • Humans
  • International Classification of Diseases
  • Male
  • Medicare Part A / statistics & numerical data
  • Medicare Part B / statistics & numerical data
  • Patient Admission / statistics & numerical data*
  • Patient Discharge / statistics & numerical data
  • Patient-Centered Care / standards
  • Patient-Centered Care / statistics & numerical data
  • Sex Distribution
  • Time Factors
  • United States