Literature DB >> 7483785

Setting priorities for the Children's Vaccine Initiative: a cost-effectiveness approach.

D S Shepard1, J A Walsh, E Kleinau, S Stansfield, S Bhalotra.   

Abstract

To help the Children's Vaccine Initiative (CVI) achieve its goal of new and improved children's vaccines, we developed and applied a cost-effectiveness model to set priorities for vaccine development. The model measures the health benefits in additional Quality-Adjusted Life Years (QALYs) gained by the combined birth cohorts of all developing countries over an assumed useful life of a proposed vaccine (generally 10 years). It measures costs as the net cost of developing, procuring, and administering the vaccine to the same population and time frame compared to the status quo (the current vaccine, if any). It weights each dollar of in-kind allocation of the existing health infrastructure less heavily than a dollar cash outlay to purchase new vaccine to reflect severe constraints on foreign exchange and non-personnel costs. It expresses cost-effectiveness as the net cost per QALY. The model was applied to 13 candidate vaccines selected by the CVI for initial analysis on the basis of their near-term feasibility. The five most cost-effective improvements, each of which could generate a QALY inexpensively (below $25 per QALY), were an early-administration or an early two-dose measles vaccine, slow release tetanus toxoid (for women), improved typhoid vaccine, and hepatitis B combined with diphtheria-tetanus-pertussis vaccine.

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Year:  1995        PMID: 7483785     DOI: 10.1016/0264-410x(94)00063-s

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


  10 in total

Review 1.  Cost-effectiveness analyses of vaccination programmes : a focused review of modelling approaches.

Authors:  Sun-Young Kim; Sue J Goldie
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

2.  Childhood vaccine purchase costs in the public sector: past trends, future expectations.

Authors:  Matthew M Davis; Jessica L Zimmerman; John R C Wheeler; Gary L Freed
Journal:  Am J Public Health       Date:  2002-12       Impact factor: 9.308

3.  Immunogenicity and protection in small-animal models with controlled-release tetanus toxoid microparticles as a single-dose vaccine.

Authors:  M Singh; X M Li; H Wang; J P McGee; T Zamb; W Koff; C Y Wang; D T O'Hagan
Journal:  Infect Immun       Date:  1997-05       Impact factor: 3.441

Review 4.  A cellular pertussis vaccine (Infanrix-DTPa; SB-3). A review of its immunogenicity, protective efficacy and tolerability in the prevention of Bordetella pertussis infection.

Authors:  S S Patel; A J Wagstaff
Journal:  Drugs       Date:  1996-08       Impact factor: 9.546

5.  Economic evaluation of pneumococcal conjugate vaccination in The Gambia.

Authors:  Sun-Young Kim; Gene Lee; Sue J Goldie
Journal:  BMC Infect Dis       Date:  2010-09-03       Impact factor: 3.090

Review 6.  Development of orphan vaccines: an industry perspective.

Authors:  J Lang; S C Wood
Journal:  Emerg Infect Dis       Date:  1999 Nov-Dec       Impact factor: 6.883

7.  The use of cost-effectiveness analysis for pediatric immunization in developing countries.

Authors:  Cindy Low Gauvreau; Wendy J Ungar; Jillian Clare Köhler; Stanley Zlotkin
Journal:  Milbank Q       Date:  2012-12       Impact factor: 4.911

8.  Economic evaluation of hepatitis B vaccination in low-income countries: using cost-effectiveness affordability curves.

Authors:  Sun-Young Kim; Joshua A Salomon; Sue J Goldie
Journal:  Bull World Health Organ       Date:  2007-11       Impact factor: 9.408

Review 9.  Vaccine preventable disease incidence as a complement to vaccine efficacy for setting vaccine policy.

Authors:  Bradford D Gessner; Daniel R Feikin
Journal:  Vaccine       Date:  2014-04-13       Impact factor: 3.641

Review 10.  A review of typhoid fever transmission dynamic models and economic evaluations of vaccination.

Authors:  Conall H Watson; W John Edmunds
Journal:  Vaccine       Date:  2015-04-25       Impact factor: 3.641

  10 in total

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