Need, enabling, predisposing, and behavioral determinants of access to preventative care in Argentina: analysis of the national survey of risk factors

PLoS One. 2012;7(9):e45053. doi: 10.1371/journal.pone.0045053. Epub 2012 Sep 12.

Abstract

Introduction: Health care utilization is an important step to disease management, providing opportunities for prevention and treatment. Anderson's Health Behavior Model has defined utilization by need, predisposing, and enabling determinants. We hypothesize that need, predisposing, and enabling, highlighting behavioral factors are associated with utilization in Argentina.

Methods: We performed a logistic regression analysis of the 2005 and 2009 Argentinean Survey of Risk Factors, a cohort of 41,392 and 34,732 individuals, to explore the association between need, enabling, predisposing, and behavioral factors to blood pressure measurement in the last year.

Results: In the 2005 cohort, blood pressure measurement was associated with perception of health, insurance coverage, basic needs met, and income. Additionally, female sex, civil state, household type, older age groups, education, and alcohol use were associated with utilization. The 2009 cohort showed similar associations with only minor differences between the models.

Conclusions: We explored the association between utilization of clinical preventive services with need, enabling, predisposing, and behavioral factors. While predisposing and need determinants are associated with utilization, enabling factors such as insurance coverage provides an area for public intervention. These are important findings where policies should be focused to improve utilization of preventive services in Argentina.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Alcohol Drinking
  • Argentina
  • Blood Pressure
  • Cohort Studies
  • Educational Status
  • Female
  • Health Services Accessibility / statistics & numerical data*
  • Health Services Needs and Demand / statistics & numerical data*
  • Health Surveys / statistics & numerical data*
  • Humans
  • Income / statistics & numerical data
  • Insurance Coverage / statistics & numerical data
  • Logistic Models
  • Male
  • Middle Aged
  • Preventive Health Services / statistics & numerical data*
  • Risk Factors
  • Sex Factors
  • Smoking