Health care services utilization stratified by virological and immunological markers of HIV: evidence from a universal health care setting

HIV Med. 2009 Feb;10(2):88-93. doi: 10.1111/j.1468-1293.2008.00656.x.

Abstract

Objective: The aim of the study was to determine rates of utilization of in-patient, out-patient and laboratory services stratified by virological and immunological markers of HIV disease among patients on antiretroviral treatment in British Columbia, Canada.

Methods: We estimated resource utilization for in-patient visits, out-patient visits, and laboratory tests among patients initiating antiretroviral treatment between 1 April 1994 and 31 December 2000, with follow-up to 31 March 2001. Resource use was stratified by CD4 cell count and plasma HIV viral load (pVL) at the time of utilization and rates per 100 patient-years were calculated for each health care resource.

Results: A total of 2718 patients were included in our analyses. The overall rates of in-patient visits, out-patient visits, and laboratory tests were 902, 3001 and 840 per 100 patient-years, respectively. Utilization was higher for patients with low CD4 cell counts and high pVLs when compared with patients with high CD4 cell counts and low pVLs.

Conclusions: Patients with low CD4 cell counts and high pVLs had the highest use of health care services. Regular follow-up with health care providers in an out-patient setting, allowing for proper monitoring and maintenance of HIV care, is important in minimizing unnecessary and potentially costly in-patient care.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Antiretroviral Therapy, Highly Active / statistics & numerical data*
  • British Columbia / epidemiology
  • CD4 Lymphocyte Count
  • Female
  • HIV Infections / epidemiology*
  • HIV Infections / immunology
  • HIV Infections / virology
  • HIV-1*
  • Health Services Accessibility / statistics & numerical data*
  • Humans
  • Male
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Young Adult