Literature DB >> 10146880

Decision analysis in formulary decision making.

C B Schechter1.   

Abstract

Although decision making about what drugs to include in an institutional formulary appears to lend itself readily to quantitative techniques such as decision analysis and cost-benefit analysis, a review of the literature reveals that very little has been published in this area. Several of the published decision analyses use non-standard techniques that are, at best, of unproved validity, and may seriously distort the underlying issues through covert under-counting or double-counting of various drug attributes. Well executed decision analyses have contributed to establishing that drug acquisition costs are not an adequate measure of the total economic impact of formulary decisions and that costs of labour and materials associated with drug administration must be calculated on an institution-specific basis to reflect unique staffing patterns, bulk purchasing practices, and the availability of surplus capacity within the institution which might be mobilised at little marginal cost. Clinical studies of newly introduced drugs frequently fail to answer the questions that weigh most heavily on the structuring of a formal assessment of a proposed formulary acquisition. Studies comparing a full spectrum of therapeutically equivalent drugs are rarely done, and individual studies of particular pairs of drugs can rarely be used together because of differences in methodology or patient populations studied. Gathering of institution-specific economic and clinical data is a daunting, labour-intensive task. In many institutions, incentive and reward structures discourage behaviour that takes the broad institutional perspective that is intrinsic to a good decision analysis.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1993        PMID: 10146880     DOI: 10.2165/00019053-199303060-00005

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  16 in total

1.  Application of decision analysis to drug selection for formulary addition.

Authors:  J J Kresel; H C Hutchings; D N MacKay; M C Weinstein; J L Read; K Taylor-Halvorsen; H Ashley
Journal:  Hosp Formul       Date:  1987-07

2.  Decision analysis applied to selection of histamine H2-receptor antagonists for the formulary.

Authors:  M V Calvo; I Fruns; A Domínguez-Gil
Journal:  Am J Hosp Pharm       Date:  1990-09

3.  Proposed drug-drug cost effectiveness methodology.

Authors:  J P Gagnon; J T Osterhaus
Journal:  Drug Intell Clin Pharm       Date:  1987-02

4.  Pharmacy-based distribution system for enteral nutrition products.

Authors:  S A Craig; M F Paulson
Journal:  Am J Hosp Pharm       Date:  1985-12

5.  Current and future pharmacy initiatives in institutional and corporate practice.

Authors:  J A Oddis
Journal:  Am J Hosp Pharm       Date:  1984-02

6.  Sounding board. Decision Analysis: a look at the chief complaints.

Authors:  W B Schwartz
Journal:  N Engl J Med       Date:  1979-03-08       Impact factor: 91.245

7.  Microcomputer aids to medical decision making. Educational and clinical applications.

Authors:  J R Beck
Journal:  Med Decis Making       Date:  1983       Impact factor: 2.583

8.  Justifying additional pharmacist staff in an era of cost reductions.

Authors:  L D Perkins; N A Mason
Journal:  Am J Hosp Pharm       Date:  1984-10

9.  'A Look at the Chief Complaints' revisited. Current obstacles and opportunities for decision analysis.

Authors:  R D Cebul
Journal:  Med Decis Making       Date:  1984       Impact factor: 2.583

10.  Formulary evaluation of second-generation cephamycin derivatives using decision analysis.

Authors:  S L Barriere
Journal:  Am J Hosp Pharm       Date:  1991-10
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  3 in total

Review 1.  Costs, innovation and efficiency in anti-infective therapy.

Authors:  J L Bootman; R J Milne
Journal:  Pharmacoeconomics       Date:  1996       Impact factor: 4.981

2.  Pharmacoeconomics and formulary decision making.

Authors:  L A Sanchez
Journal:  Pharmacoeconomics       Date:  1996       Impact factor: 4.981

3.  Cost-effectiveness comparison of cefepime and ceftazidime using decision analysis.

Authors:  J A Paladino
Journal:  Pharmacoeconomics       Date:  1994-06       Impact factor: 4.981

  3 in total

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