Advertisement

DEA Based Algorithm for EU Healthcare Efficiency Evaluation

  • Dalia Kriksciuniene
  • Virgilijus SakalauskasEmail author
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 303)

Abstract

The problem of efficiency evaluation in healthcare is recently dealt from many perspectives, such as analysis of investment and cost containment, development of country ranking models or designing new indicators for characterizing healthcare status. The article explores the healthcare efficiency in EU countries by applying a DEA (Data Envelopment Analysis) method. The modification of DEA gives several advantages of the proposed model, as it not only computes healthcare efficiency of a country, but it enables to give quantitative characteristics of particular deficiencies which explain differences of efficiency levels; it also. The research results highlight different levels of efficiency of EU healthcare systems determined by hierarchical selection and grouping health-related input characteristics and by comparing them to the financial value of investment. The experimental analysis revealed that DEA-based model allows estimating the limits of increasing efficiency of country healthcare within same expenditure levels.

Keywords

Efficiency evaluation Healthcare system Data Envelopment Analysis (DEA) EU countries 

Notes

Acknowledgement

This work was performed within the framework of the COST action “European Network for cost containment and improved quality of health care” http://www.cost.eu/COST_Actions/ca/CA15222.

References

  1. Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2, 429–444 (1978)CrossRefGoogle Scholar
  2. Heijink, R., et al.: Comparative efficiency of health systems, corrected for selected lifestyle factors. Funded by the European Commission and carried out by the Dutch National Institute for Public Health and the Environment (RIVM) (2015). http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf
  3. Medeiros, J., Schwierz, C.: Efficiency estimates of health care systems in the EU. European Commission, Directorate-General for Economic and Financial Affairs, Economic Papers 549, June 2015Google Scholar
  4. Lu, W., Du, L.: U.S. health-care system ranks as one of the least-efficient (2016). https://www.bloomberg.com/news/articles/2016-09-29/u-s-health-care-system-ranks-as-one-of-the-least-efficient
  5. McGlynn, E.A.: Identifying, categorizing, and evaluating health care efficiency measures. Final report (prepared by the Southern California Evidence-based Practice Center—RAND Corporation, Under Contract No. 282-00-0005-21). AHRQ Publication No. 08-0030. Agency for Healthcare Research and Quality, Rockville (2008)Google Scholar
  6. Patient safety and quality of care: Special Eurobarometer 411 (2013). http://ec.europa.eu/commfrontoffice/publicopinion/archives/ebs/ebs_411_en.pdf
  7. Trick, M.: Data envelopment analysis, 26 August 1998. Michael Trick’s Operations Research Page: http://mat.gsia.cmu.edu/classes/QUANT/NOTES/chap12.pdf. Accessed 30 Sept 2012
  8. World Health Statistics: Monitoring health for the SDGs (2016). http://www.who.int/gho/publications/world_health_statistics/2016/en/
  9. OECD.org. Data for Measuring Health Care Quality and Outcomes (2017). http://www.oecd.org/els/health-systems/health-care-quality-indicators.htm

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of InformaticsVilnius UniversityVilniusLithuania

Personalised recommendations