Rurality and avoidable hospitalization in a Spanish region with high population dispersion

Eur J Public Health. 2013 Dec;23(6):946-51. doi: 10.1093/eurpub/cks163. Epub 2012 Nov 26.

Abstract

Background: This study analyses the association between rurality and local rate of avoidable hospitalizations in a Spanish region with high population dispersion.

Methods: Ecological study using a municipality in the region of Castile and Leon (Spain) as the spatial unit of analysis. The variables used to operationalize rurality included the following: distance to hospital, population density, mean socio-economic level and percentage of the population aged >65 years. We calculated relative risk (RR) and 95% confidence intervals (CI) using the conditional autoregressive spatial model proposed by Besag, York and Mollié, with explanatory variables.

Results: The number of avoidable hospitalizations was 9923 or 4.5% of all admissions. The age- and gender-adjusted avoidable hospitalization rate was 4.06 per 1000 persons. Spatial analysis showed that two variables, distance from municipality of residence to reference hospital and percentage of population aged >65 years were inversely associated with risk for avoidable hospitalization [RR=0.996 (95% CI 0.993-0.999) and RR=0.989 (95% CI 0.982-0.996), respectively].

Conclusions: It is important to determine whether these lower avoidable hospitalization rates reflect an adequate level of accessibility and quality of primary care health services for rural populations or, in the contrary, they reveal access barriers to hospital care.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Female
  • Health Services Accessibility / statistics & numerical data
  • Health Services Misuse / prevention & control
  • Health Services Misuse / statistics & numerical data
  • Hospitalization / statistics & numerical data*
  • Humans
  • Male
  • Middle Aged
  • Population Density
  • Risk
  • Rural Population / statistics & numerical data*
  • Sex Factors
  • Socioeconomic Factors
  • Spain / epidemiology