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Cost-Related Information to be Provided by Computerised Drug-Prescription Systems to Promote Cost-Effective Prescribing

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Summary

Drug prescriptions are a source of steadily increasing healthcare expenditure in most developed countries. As the use of Computerised Drug Prescription Systems (CDPS) increases both in hospital and community-care settings, the potential of such systems to promote cost-effective prescribing and help contain prescription costs should be considered.

This article describes the cost-related information that could be provided by a CDPS, namely decision-support information to be provided on-line during the prescription entry, and retrospective information made available by processing stored prescription records. The review also describes design and specification requirements for building a cost-information module that can be used in various health-delivery systems. These are: (i) adequate and well-organised data; (ii) pertinent background knowledge of the domain; and (iii) algorithms that allow adaptation to site-specific features.

The propositions expounded in this article result from a part of the work performed during the Optimisation of Drug Prescription using Advanced Informatics (OPADE) European project.

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References

  1. Chew R, Griffin JP. Growth in prescription medicine expenditure: an international comparison of the nature of growth [briefing]. London: Association of the British Pharmaceutical Industry, 1992

    Google Scholar 

  2. Tonks A. GPs’ prescribing is irrational: Audit Commission [editorial]. BMJ 1994; 308: 675

    Article  Google Scholar 

  3. Grossman RM. A review of physician cost-containment strategies for laboratory testing. Med Care 1983; 21: 783–802

    Article  PubMed  CAS  Google Scholar 

  4. Eisenberg JM, Williams SV. Cost containment and changing physicians’ practice behavior. JAMA 1981; 246: 2195–201

    Article  PubMed  CAS  Google Scholar 

  5. Cohen DI, Jones P, Littenberg B, et al. Does cost information availability reduce physician test usage? Med Care 1982; 20: 286–92

    Article  PubMed  CAS  Google Scholar 

  6. Schroeder SA, Myers LP, McPhee SJ, et al. The failure of physician education as a cost containment strategy. JAMA 1984; 252: 225–30

    Article  PubMed  CAS  Google Scholar 

  7. Hershey CO, Goldberg HI, Cohen DI. The effect of computerized feedback coupled with a newsletter upon outpatient prescribing charges. Med Care 1988; 26: 88–93

    Article  PubMed  CAS  Google Scholar 

  8. Denig P, Haaijer-Ruskamp FM. Do physicians take cost into account when making prescribing decisions? Pharmacoeconomics 1995; 8(4): 282–90

    Article  PubMed  CAS  Google Scholar 

  9. Sullivan F, Mitchell E. Has general practitioner computing made a difference to patient care? A systematic review of published reports. BMJ 1995; 311: 851–2

    Article  Google Scholar 

  10. van der Lei J, Duisterhout JS, Westerhof HP, et al. The introduction of computer-based patient records in the Netherlands. Ann Intern Med 1993; 119(10): 1036–41

    PubMed  Google Scholar 

  11. de Zegher I, Venot A, Milstein C, et al. OPADE: optimization of drug prescription using advanced informatics. Comput Methods Programs Biomed 1994; 45: 131–6

    Article  PubMed  Google Scholar 

  12. Wertheimer AI, Kralewski J. DUR programs: current trends and future directions. Am Pharm 1993; NS33(2): 37–42

    PubMed  CAS  Google Scholar 

  13. Milstein C, De Zegher I, Pietri P, et al. Modelling drug information for a prescription oriented knowledge base on drugs. Methods Inf Med 1995; 34: 318–27

    PubMed  CAS  Google Scholar 

  14. Griffin TD. An economist’s view of patient co-payment for prescribed medicines in the European Community. Int Pharm J 1992; 6: 15–8

    Google Scholar 

  15. Raisch DW. A model of methods for influencing prescribing: a review of prescribing models, persuasion theories, and administrative and educational methods. Drug Intell Clin Pharm 1990; 24 (Pt 1): 417–21

    CAS  Google Scholar 

  16. Raisch DW. A model of methods for influencing prescribing: a review of educational methods, theories of human inference, and delineation of the model. Drug Intell Clin Pharm 1990; 24 (Pt 2): 537–41

    CAS  Google Scholar 

  17. Kawahara NE, Jordan FM. Influencing prescribing behavior by adapting computerized order-entry pathways. Am J Hosp Pharm 1989; 46: 1798–801

    PubMed  CAS  Google Scholar 

  18. Kienle PC. Eliminating the printed formulary: a cost effective alternative. Hosp Pharm 1990; 25: 534–7

    PubMed  CAS  Google Scholar 

Download references

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Milstein, C., Venot, A. Cost-Related Information to be Provided by Computerised Drug-Prescription Systems to Promote Cost-Effective Prescribing. Pharmacoeconomics 12, 130–139 (1997). https://doi.org/10.2165/00019053-199712020-00004

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