Literature DB >> 3114708

Cost-benefit analysis of two strategies for prevention of Haemophilus influenzae type b infection.

J W Hay, R S Daum.   

Abstract

A cost-benefit analysis for Haemophilus influenzae type b disease prevention was developed to examine two officially recommended preventive strategies: H influenzae type b capsular polysaccharide immunization and rifampin prophylaxis of exposed contacts. The social costs of H influenzae type b disease in the 1984 US birth cohort will be $1.937 billion when base case assumptions are made. If it is assumed that 60% of all children could be vaccinated at 24 months of age, universal vaccination has the highest economic benefits of any single preventive strategy considered (net savings $64.8 million). Rifampin prophylaxis of appropriate household contacts has the highest benefit to cost ratio (59:1), but because rifampin prevents only secondary disease, only half as many cases can be prevented with rifampin prophylaxis of appropriate household contacts (501 cases prevented, $1,994 per case prevented) as with universal vaccination at 24 months (985 cases prevented, $63,484 per case prevented). Single-dose vaccination of day-care attendees at 18 months of age is the most expensive preventive strategy considered ($148,445 per case prevented, 306 cases prevented). Rifampin prophylaxis of appropriate day-care contacts prevents the fewest H influenzae type b cases ($46,041 per case prevented, 72 cases prevented.

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Year:  1987        PMID: 3114708

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  10 in total

1.  Evaluating the benefits of increasing measles immunization rates.

Authors:  J Zwanziger; P G Szilagyi; P Kaul
Journal:  Health Serv Res       Date:  2001-10       Impact factor: 3.402

Review 2.  Pharmacoeconomics of immunisation: a review.

Authors:  R van den Oever; D de Graeve; B Hepp; A Stroobant; D Walckiers; V Van Casteren; F Van Loock; G Ducoffre; J Dewatripont; P Jacques
Journal:  Pharmacoeconomics       Date:  1993-04       Impact factor: 4.981

Review 3.  Effectiveness of Haemophilus influenzae type b vaccines.

Authors:  D M Stieb; H H Frayha; A D Oxman; H S Shannon; B G Hutchison; F S Crombie
Journal:  CMAJ       Date:  1990-04-01       Impact factor: 8.262

4.  A model for estimating the impact of changes in children's vaccines.

Authors:  K N Simpson; A K Biddle; N R Rabinovich
Journal:  Am J Public Health       Date:  1995-12       Impact factor: 9.308

Review 5.  Cost of treatment and prevention of Haemophilus influenzae type b disease. An international perspective.

Authors:  D A Clements
Journal:  Pharmacoeconomics       Date:  1994-11       Impact factor: 4.981

6.  Population-based versus practice-based recall for childhood immunizations: a randomized controlled comparative effectiveness trial.

Authors:  Allison Kempe; Alison Saville; L Miriam Dickinson; Sheri Eisert; Joni Reynolds; Diana Herrero; Brenda Beaty; Karen Albright; Eva Dibert; Vicky Koehler; Steven Lockhart; Ned Calonge
Journal:  Am J Public Health       Date:  2012-12-13       Impact factor: 9.308

7.  Cost-benefit analysis of Haemophilus influenzae type b vaccination in children in Spain.

Authors:  F J Jiménez; P Guallar-Castillón; C Rubio Terrés; E Guallar
Journal:  Pharmacoeconomics       Date:  1999-01       Impact factor: 4.981

8.  Duration of rifampin chemoprophylaxis for contacts of patients infected with Haemophilus influenzae type B.

Authors:  M Green; K I Li; E R Wald; N Guerra; C Byers
Journal:  Antimicrob Agents Chemother       Date:  1992-03       Impact factor: 5.191

Review 9.  Cost-benefit analysis of a Haemophilus influenzae type b meningitis prevention programme in The Philippines.

Authors:  M R Limcangco; C L Armour; E G Salole; S J Taylor
Journal:  Pharmacoeconomics       Date:  2001       Impact factor: 4.981

10.  Cost benefit analysis of Haemophilus influenzae type b vaccination programme in Israel.

Authors:  G M Ginsberg; I Kassis; R Dagan
Journal:  J Epidemiol Community Health       Date:  1993-12       Impact factor: 3.710

  10 in total

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