The impact of cost-sharing schemes on drug compliance in Italy: evidence based on quantile regression

Int J Public Health. 2014 Apr;59(2):329-39. doi: 10.1007/s00038-013-0528-4. Epub 2013 Dec 15.

Abstract

Objectives: In this article we investigate the causal effect of cost-sharing schemes on compliance with statins in a quantile regression framework.

Methods: We use the health search CSD-LPD data, a longitudinal observational dataset containing computer-based patient records collected by Italian general practitioners. We exploit a series of natural experiments referring to several introductions of co-payment schemes in some of the Italian regions between 2000 and 2009. We adopt an extended difference-in-differences approach to provide quantile estimates of the impact of co-payments on compliance.

Results: We find that (i) introduction of co-payments hurts residents of regions with worse quality and provision of health care; (ii) within these regions, co-payments were particularly harmful for high compliers; (iii) gender, clinical history and geographic residence are important determinants of compliance among poor compliers; (iv) compliance decreases with the potency and dosage of statins, particularly for poor compliers.

Conclusions: In the presence of inefficient health-care provision, co-payments are harmful for drug compliance, and this is especially true for patients who are originally good compliers.

MeSH terms

  • Cost Sharing*
  • Databases, Factual
  • Female
  • Humans
  • Insurance Coverage / economics
  • Insurance, Health / economics
  • Italy
  • Longitudinal Studies
  • Male
  • Medication Adherence*
  • Regression Analysis