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Affordability of Medicines and Patients' Cost Reduction Behaviors: Empirical Evidence Based on SUR Estimates from Italy and the United Kingdom

Author

Listed:
  • Vincenzo Atella

    (University of Rome II - Faculty of Economics)

  • Peter R. Noyce

    (University of Manchester - School of Pharmacy & Pharmaceutical Sciences)

  • Ellen Schafheutle

    (University of Manchester - School of Pharmacy & Pharmaceutical Sciences)

  • Karen Hassell

    (University of Manchester - School of Pharmacy & Pharmaceutical Sciences)

Abstract

The aim of the paper is to shed some light on consumers' attitudes to adopting strategies to contain the cost of medication. Using micro-data from an ad hoc survey conducted in Italy and the UK, several hypotheses are tested regarding patients' decision-making behavior and how it is influenced by health status, socio-demographic characteristics and the novel concept of a self-rated affordability measure. Results show that there is a discernable tendency for both UK and Italian patients to use cost reducing strategies and that these strategies are strongly influenced by income and drug affordability problems. These are important findings in two countries, where the National Health System (NHS) should provide health care services that are accessible to all citizens in need, and provide interesting insights for policy makers in other countries, such as USA, where patients have to pay a large share of their drugs out-of-pocket.

Suggested Citation

  • Vincenzo Atella & Peter R. Noyce & Ellen Schafheutle & Karen Hassell, 2005. "Affordability of Medicines and Patients' Cost Reduction Behaviors: Empirical Evidence Based on SUR Estimates from Italy and the United Kingdom," CEIS Research Paper 71, Tor Vergata University, CEIS.
    • Handle: RePEc:rtv:ceisrp:71
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    References listed on IDEAS

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    1. Atella, Vincenzo, 2000. "Drug cost containment policies in Italy: are they really effective in the long-run?: The case of minimum reference price," Health Policy, Elsevier, vol. 50(3), pages 197-218, January.
    2. Vincenzo Atella & Karen Hassell & Ellen Schafheutle & Marjorie C. Weiss & Peter R. Noyce, 2003. "Cost to the Patient or Cost to the Healthcare System? Which one Matters the Most for GP Prescribing Decisions? A UK-Italy Comparison," CEIS Research Paper 1, Tor Vergata University, CEIS.
    3. Noyce, Peter R. & Huttin, Christine & Atella, Vicenzo & Brenner, Gerhard & Haaijer-Ruskamp, Flora M. & Hedvall, Maj-Britt & Mechtler, Reli, 2000. "The cost of prescription medicines to patients," Health Policy, Elsevier, vol. 52(2), pages 129-145, June.
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    Cited by:

    1. Lambrelli D & O’Donnell O, 2009. "Why Does the Utilization of Pharmaceuticals Vary So Much Across Europe? Evidence from Micro Data on Older Europeans," Health, Econometrics and Data Group (HEDG) Working Papers 09/06, HEDG, c/o Department of Economics, University of York.
    2. Sabine Vogler & Guillaume Dedet & Hanne Bak Pedersen, 2019. "Financial Burden of Prescribed Medicines Included in Outpatient Benefits Package Schemes: Comparative Analysis of Co-Payments for Reimbursable Medicines in European Countries," Applied Health Economics and Health Policy, Springer, vol. 17(6), pages 803-816, December.
    3. Vincenzo Atella & Franco Peracchi & Domenico Depalo & Claudio Rossetti, 2006. "Drug compliance, co‐payment and health outcomes: evidence from a panel of Italian patients," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 875-892, September.

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    More about this item

    Keywords

    Health policy reform; health services demand; re-distributive impact; prescription charge; co-payment;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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