Medical resource use and expenditure in patients with chronic heart failure: a population-based analysis of 88 195

Nuria Farré1,2, Emili Vela3, Montse Clèries3

  • 1Heart Failure Programme, Department of Cardiology, Hospital del Mar, Barcelona, Spain.

Insights

Heart failure (HF) care costs €536.2 million annually in Catalonia, with hospitalizations being the primary expense. Predictors of higher healthcare spending include younger age, comorbidities, and recent hospital admissions.

Area of Science:

  • Cardiology
  • Health Economics
  • Public Health

Background:

  • Heart failure (HF) is a significant driver of healthcare expenditure globally.
  • Understanding the population-level costs of HF is crucial for resource allocation.
  • Previous studies have limited data on the economic burden of HF at a population level.

Purpose of the Study:

  • To investigate the distribution and predictors of healthcare expenditure in a large, population-based cohort of heart failure (HF) patients.
  • To quantify the total healthcare costs associated with HF care in Catalonia, Spain.

Main Methods:

  • A population-based longitudinal study included 88,195 prevalent heart failure (HF) cases in Catalonia, Spain, as of December 31, 2012.
  • One-year healthcare resource use and expenditure were analyzed using the CatSalut surveillance system.
  • Multivariate analysis identified factors associated with higher healthcare spending.

Main Results:

  • Total annual healthcare expenditure for HF patients in 2013 was €536.2 million, representing 7.1% of the total healthcare budget.
  • Hospitalization accounted for 39% of total HF expenditure, followed by outpatient care (20%).
  • Independent predictors of higher healthcare expenditure included younger age, higher comorbidity burden, and recent HF or all-cause hospitalization.

Conclusions:

  • Heart failure care consumes a substantial portion of the healthcare budget in Catalonia, primarily driven by unplanned hospitalizations.
  • Identifying key cost drivers and patient predictors can inform resource planning and targeted interventions for HF management.
  • This population-level analysis provides valuable insights for health providers to optimize resource distribution in HF patient care.
Abstract

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