Literature DB >> 9795397

Addressing the challenges to immunization practice with an economic algorithm for vaccine selection.

B G Weniger1, R T Chen, S H Jacobson, E C Sewell, R Deuson, J R Livengood, W A Orenstein.   

Abstract

The biotechnology revolution is producing a growing bounty of new vaccines which pose difficult choices in selecting among many products. Some major public and private purchasers of vaccine may offer individual physicians and clinics their choice in assembling vaccine inventories. Others might purchase only a limited stock of products that would satisfactorily immunize a typical child. In either case, current vaccine selection decisions are based principally on purchase price alone without systematic consideration of other factors of fiscal consequence. As a potential tool for decision making, we developed an economic algorithm for vaccine selection that would minimize the overall costs of disease control through immunization by considering: (1) purchase price, (2) number of doses needed, (3) preparation time, (4) route of administration, (5) cold storage needs, (6) shelf life, (7) earliest age of full immunity, (8) adverse events frequency, and (9) efficacy of protection. To demonstrate the algorithm, variables (1) to (4) above were incorporated into a pilot binary-integer linear programming model that satisfied the recommended immunization schedule for diphtheria, tetanus, pertussis, Haemophilus influenzae b, and hepatitis B, using eleven vaccines (DTaP, DTaP-Hib, Hib, HepB and Hib-HepB) from four manufacturers. Five (or six) opportunities to vaccinate were modeled at (1), 2, 4, 6, 12-18, and 60 months of life, assuming US$40 per clinic visit, $15 per injection, and $0.50 per minute of nurse preparation time. Vaccine costs were varied using actual March and September 1997 US Federal vaccine prices, as well as estimates for unpriced new vaccines. Over 16,000 distinct vaccine stocking lists by vaccine type and brand were possible. Including a 1-month visit, the lowest-cost 'solution' of the algorithm was $529.41 per child in the March cost-assumption case, and $490.32 in the September one (both included four doses of DTaP-Hib, three HepB, and one DTaP). Without a 1-month visit, the lowest-cost solution in the March case cost $486.67 (four DTaP, two Hib-HepB, one DTaP-Hib, and one HepB), while the September case cost $450.32 (four DTaP-Hib, three HepB, and one DTaP). Ensuring at least one product was selected from each of the four manufacturers increased costs about $13.00, and the needed injections rose from eight to nine. The most economical selection of vaccines to use cannot be intuitively predicted, as permutations are large and solutions are sensitive to minor changes in costs and constraints. A transparent, objective selection method that weighs the economic value of distinguishing features among competing vaccines might offer the 'best value' to vaccine purchasers, while also creating strong market incentives for continuing innovation and competition in the vaccine industry.

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Year:  1998        PMID: 9795397     DOI: 10.1016/s0264-410x(98)00170-4

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  13 in total

1.  An integer programming model for vaccine procurement and delivery for childhood immunization: a pilot study.

Authors:  S H Jacobson; E C Sewell; R Deuson; B G Weniger
Journal:  Health Care Manag Sci       Date:  1999-01

2.  Using Monte Carlo simulation to determine combination vaccine price distributions for childhood diseases.

Authors:  Sheldon H Jacobson; Edward C Sewell
Journal:  Health Care Manag Sci       Date:  2002-04

3.  Selecting a mix of prevention strategies against cervical cancer for maximum efficiency with an optimization program.

Authors:  Nadia Demarteau; Thomas Breuer; Baudouin Standaert
Journal:  Pharmacoeconomics       Date:  2012-04       Impact factor: 4.981

4.  Setting prices for new vaccines (in advance).

Authors:  Thomas G McGuire
Journal:  Int J Health Care Finance Econ       Date:  2003-09

5.  Integer/linear mathematical programming models: a tool for allocating healthcare resources.

Authors:  Stephanie R Earnshaw; Susan L Dennett
Journal:  Pharmacoeconomics       Date:  2003       Impact factor: 4.981

6.  Pricing strategies for combination pediatric vaccines and their impact on revenue: Pediarix or Pentacel?

Authors:  Matthew J Robbins; Sheldon H Jacobson; Edward C Sewell
Journal:  Health Care Manag Sci       Date:  2010-03

7.  A web-based tool for designing vaccine formularies for childhood immunization in the United States.

Authors:  Sheldon H Jacobson; Edward C Sewell
Journal:  J Am Med Inform Assoc       Date:  2008-06-25       Impact factor: 4.497

8.  The relationship between pediatric combination vaccines and market effects.

Authors:  Banafsheh Behzad; Sheldon H Jacobson; Janet A Jokela; Edward C Sewell
Journal:  Am J Public Health       Date:  2014-04-17       Impact factor: 9.308

9.  Engineering the economic value of two pediatric combination vaccines.

Authors:  Sheldon H Jacobson; Edward C Sewell; Tamana Karnani
Journal:  Health Care Manag Sci       Date:  2005-02

10.  Maximizing the effectiveness of a pediatric vaccine formulary while prohibiting extraimmunization.

Authors:  Shane N Hall; Edward C Sewell; Sheldon H Jacobson
Journal:  Health Care Manag Sci       Date:  2008-12
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