Relationship of cardiac inpatients' outcomes to mood state

S Allison1, M J Bernier, S V Owen

  • 1University of Texas, Medical Branch, School of Nursing, 301 Mechanic Boulevard, Galveston, TX 77555, USA.

Insights

Depression in cardiac patients was not linked to longer hospital stays or higher costs overall. However, depressed women with cardiac disease experienced significantly longer stays and increased costs compared to depressed men.

Area of Science:

  • Cardiology
  • Psychiatry
  • Health Economics

Background:

  • Depression is a common comorbidity in cardiac patients, potentially impacting healthcare costs and outcomes.
  • Understanding the financial and length of stay (LOS) implications of depression in cardiac care is crucial for resource allocation and patient management.

Purpose of the Study:

  • To compare the cost and length of stay (LOS) between cardiac inpatients with and without depression.
  • To investigate the influence of mood state, gender, and cardiac outcomes on healthcare utilization.

Main Methods:

  • A descriptive study utilizing a computerized charge capture system (CCCS).
  • Comparison of cost and LOS between depressed (n=144) and nondepressed (n=9,099) cardiac inpatients.
  • Matched sample analysis comparing 94 depressed patients with 352 nondepressed patients.

Main Results:

  • No significant overall differences in cost or LOS between depressed and nondepressed cardiac patients.
  • Depression was significantly more prevalent in female patients (chi 2 = 24.0, df = 1, P < 0.05).
  • Depressed women with cardiac disease had significantly longer LOSs and higher costs than depressed men (F = 6.6, df = 1, P = 0.01).

Conclusions:

  • While overall costs and LOS did not differ significantly, gender plays a critical role in the outcomes for depressed cardiac patients.
  • The study identified a significantly higher incidence of depression among female cardiac patients.
  • The low overall incidence of detected depression (1.6%) may be attributed to the use of financial rather than clinical data, highlighting potential underdiagnosis.

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