Factors associated with delays in accessing HIV primary care in rural Arkansas

AIDS Patient Care STDS. 2001 Oct;15(10):527-32. doi: 10.1089/108729101753205694.

Abstract

While debate continues at what stage of human immunodeficiency virus (HIV) disease to begin combination antiretroviral therapy, a number of clinical and public health benefits are linked to early entry into primary care soon after first testing HIV positive. However, HIV-infected patients continue to test late and delay entry into care. We used routinely collected demographic and clinical information to examine which factors are associated with delays in seeking care in a predominantly rural, economically poor area of Arkansas. The study population is 75% African American and male and 70% lack health insurance; nearly one fourth were referred from prison. At diagnosis, two thirds of the population had CD4 counts below 500 cells per microliter. Days from initial HIV diagnosis to entry into care declined from a median of 178 in 1994 to 24 in 1998. In 1998, 75% of the population entered into primary care within 2 months of diagnosis. However, CD4 counts at HIV diagnosis also declined in this period, from a median of 427 in 1995 to 208 cells per microliter in 1998. More recent year of diagnosis was associated with a shorter delay in seeking care; males, and individuals lacking health insurance took significantly longer to enter into care than females and those with insurance, respectively. Our univariate finding of extensive delays in seeking care in the prison population did not hold in the multivariate analysis. We found significant delays in time to initial HIV diagnosis, and further considerable delays in males and those lacking health insurance in the time taken to enter into primary care.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Analysis of Variance
  • Arkansas
  • Black or African American / statistics & numerical data
  • Child
  • Child, Preschool
  • Community Health Services*
  • Female
  • HIV Infections / diagnosis
  • HIV Infections / therapy*
  • Health Services Accessibility
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Medically Uninsured
  • Middle Aged
  • Multivariate Analysis
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Poverty Areas
  • Primary Health Care*
  • Prisoners / statistics & numerical data
  • Time Factors