Factors associated with hospitalisations in chronic conditions deemed avoidable: ecological study in the Spanish healthcare system

BMJ Open. 2017 Feb 24;7(2):e011844. doi: 10.1136/bmjopen-2016-011844.

Abstract

Objectives: Potentially avoidable hospitalisations have been used as a proxy for primary care quality. We aimed to analyse the ecological association between contextual and systemic factors featured in the Spanish healthcare system and the variation in potentially avoidable hospitalisations for a number of chronic conditions.

Methods: A cross-section ecological study based on the linkage of administrative data sources from virtually all healthcare areas (n=202) and autonomous communities (n=16) composing the Spanish National Health System was performed. Potentially avoidable hospitalisations in chronic conditions were defined using the Spanish validation of the Agency for Health Research and Quality (AHRQ) preventable quality indicators. Using 2012 data, the ecological association between potentially avoidable hospitalisations and factors featuring healthcare areas and autonomous communities was tested using multilevel negative binomial regression.

Results: In 2012, 151 468 admissions were flagged as potentially avoidable in Spain. After adjusting for differences in age, sex and burden of disease, the only variable associated with the outcome was hospitalisation intensity for any cause in previous years (incidence risk ratio 1.19 (95% CI 1.13 to 1.26)). The autonomous community of residence explained a negligible part of the residual unexplained variation (variance 0.01 (SE 0.008)). Primary care supply and activity did not show any association.

Conclusions: The findings suggest that the variation in potentially avoidable hospitalisations in chronic conditions at the healthcare area level is a reflection of how intensively hospitals are used in a healthcare area for any cause, rather than of primary care characteristics. Whether other non-studied features at the healthcare area level or primary care level could explain the observed variation remains uncertain.

Keywords: PRIMARY CARE.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Chronic Disease / classification*
  • Female
  • Health Services Misuse / statistics & numerical data*
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Patient Admission / statistics & numerical data*
  • Primary Health Care / standards*
  • Primary Health Care / statistics & numerical data
  • Quality Indicators, Health Care
  • Regression Analysis
  • Spain