Analysis of trends in hospitalizations for heart failure

J Card Fail. 1999 Jun;5(2):79-84. doi: 10.1016/s1071-9164(99)90029-5.

Abstract

Background: Over the past 10 years, efforts have been made to control the cost of care for patients with congestive heart failure (CHF) through reducing hospitalizations and shortening lengths of stay. Few data are available regarding the effectiveness of these intervention strategies on a community basis.

Methods and results: We analyzed the Oregon hospital discharge database. Multivariable methods were used to assess trends while controlling for confounding factors, such as age, sex, and comorbidity. The hospital admission rates for CHF were stable over time in all age groups. The age- and sex-standardized admission rate among people aged 65 years or older decreased slightly from 13.9/1,000 in 1991 to 12.9/1,000 in 1995. The annual hospital readmission rate remained constant over time, with an average rate of 15.3%. The average length of hospital stay decreased from 5.01 days in 1991 to 3.95 days in 1995. The in-hospital mortality rate decreased from 6.9% in 1991 to 4.7% in 1995, independent of length of stay.

Conclusion: We observed stable hospital admission and readmission rates for CHF, accompanied by a decreasing trend in the length of hospital stay and in-hospital mortality. Our findings raise the possibility of improved care management for heart failure over time.

MeSH terms

  • Adult
  • Age Distribution
  • Aged
  • Aged, 80 and over
  • Confounding Factors, Epidemiologic
  • Costs and Cost Analysis
  • Female
  • Heart Failure / economics
  • Heart Failure / mortality
  • Heart Failure / therapy*
  • Hospital Mortality / trends
  • Humans
  • Length of Stay
  • Linear Models
  • Male
  • Middle Aged
  • Odds Ratio
  • Oregon / epidemiology
  • Patient Admission / economics
  • Patient Admission / statistics & numerical data*
  • Patient Discharge / economics
  • Patient Discharge / statistics & numerical data*
  • Patient Readmission / economics
  • Patient Readmission / statistics & numerical data
  • Registries
  • Sex Distribution