Literature DB >> 23777686

TRIVAC decision-support model for evaluating the cost-effectiveness of Haemophilus influenzae type b, pneumococcal and rotavirus vaccination.

Andrew Clark1, Barbara Jauregui, Ulla Griffiths, Cara B Janusz, Brenda Bolaños-Sierra, Rana Hajjeh, Jon K Andrus, Colin Sanderson.   

Abstract

The TRIVAC decision support model has been used widely in Latin America and other regions to help national teams evaluate the cost-effectiveness of Haemophilus influenzae type b (Hib) vaccine, pneumococcal conjugate vaccine (PCV) and rotavirus vaccine (RV). We describe the structure and functioning of this model, and identify the parameters with the greatest influence on the results. The TRIVAC model is a spreadsheet software program that calculates incremental cost-effectiveness ratios (ICERs) and other indicators for three childhood vaccines (Hib, PCV and RV) utilising parameters such as demography, disease burden, vaccine costs, vaccine coverage, vaccine efficacy, health service utilisation and costs. There is a good deal of uncertainty about the local values of many of the parameters that have most influence on the cost-effectiveness of these new vaccines. Cost-effectiveness models can be used to explore the implications of different values of these parameters. However, for such models to be seen as relevant and helpful by decision-makers, they need to be transparent, flexible, easy to use, and embedded in a process which is owned and led by national teams. In this paper the key drivers of cost-effectiveness in the model are identified by one-way sensitivity analyses, run for each vaccine in 147 countries. The data used are mainly from standard international sources and the published literature. The primary indicator was the discounted cost per Disability Adjusted Life-Year (DALY) averted, from a government perspective, over a 20-year period (2013-2032). For all three vaccines, the ICER was most sensitive to changes in relative coverage (the coverage of the children who would have become diseased or, more importantly, died if the population had not been vaccinated, as a % of overall national coverage) and the herd effect multiplier. Other influential parameters for all three vaccines were: the incidence and case fatality of disease, the baseline trend in disease mortality in the absence of vaccination, vaccine efficacy, vaccine price and the % decline in vaccine price per year. Important vaccine-specific parameters included the cost of Hib meningitis sequelae, PCV serotype coverage and the rotavirus gastro-enteritis (RVGE) admission rate. While vaccine efficacy, herd effects, disease mortality and vaccine price are commonly cited as important drivers of cost-effectiveness, this analysis highlights the potentially important influence of relative coverage, a parameter rarely considered in models of vaccine impact and cost-effectiveness.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23777686     DOI: 10.1016/j.vaccine.2013.05.045

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


  17 in total

1.  Cost-effectiveness of Haemophilus influenzae type b conjugate vaccine in low- and middle-income countries: regional analysis and assessment of major determinants.

Authors:  Ulla Kou Griffiths; Andrew Clark; Rana Hajjeh
Journal:  J Pediatr       Date:  2013-07       Impact factor: 4.406

2.  Cost-effectiveness analysis of introducing universal childhood rotavirus vaccination in Bangladesh.

Authors:  Abdur Razzaque Sarker; Marufa Sultana; Rashidul Alam Mahumud; Robert Van Der Meer; Alec Morton
Journal:  Hum Vaccin Immunother       Date:  2017-12-12       Impact factor: 3.452

3.  Impact and cost-effectiveness of Haemophilus influenzae type b conjugate vaccination in India.

Authors:  Andrew D Clark; Ulla K Griffiths; Syed Shahid Abbas; Krishna D Rao; Lois Privor-Dumm; Rana Hajjeh; Hope Johnson; Colin Sanderson; Mathuram Santosham
Journal:  J Pediatr       Date:  2013-07       Impact factor: 4.406

Review 4.  Cost Effectiveness of Pneumococcal Vaccination in Children in Low- and Middle-Income Countries: A Systematic Review.

Authors:  Surasak Saokaew; Ajaree Rayanakorn; David Bin-Chia Wu; Nathorn Chaiyakunapruk
Journal:  Pharmacoeconomics       Date:  2016-12       Impact factor: 4.981

5.  Cost-Effectiveness of Monovalent Rotavirus Vaccination of Infants in Malawi: A Postintroduction Analysis Using Individual Patient-Level Costing Data.

Authors:  Naor Bar-Zeev; Jacqueline E Tate; Clint Pecenka; Jean Chikafa; Hazzie Mvula; Richard Wachepa; Charles Mwansambo; Themba Mhango; Geoffrey Chirwa; Amelia C Crampin; Umesh D Parashar; Anthony Costello; Robert S Heyderman; Neil French; Deborah Atherly; Nigel A Cunliffe
Journal:  Clin Infect Dis       Date:  2016-05-01       Impact factor: 9.079

6.  All things to all people: trade-offs in pursuit of an ideal modeling tool for maternal and child health.

Authors:  Timothy Roberton; Kate Litvin; Andrew Self; Angela R Stegmuller
Journal:  BMC Public Health       Date:  2017-11-07       Impact factor: 3.295

Review 7.  Operations research in global health: a scoping review with a focus on the themes of health equity and impact.

Authors:  Beverly D Bradley; Tiffany Jung; Ananya Tandon-Verma; Bassem Khoury; Timothy C Y Chan; Yu-Ling Cheng
Journal:  Health Res Policy Syst       Date:  2017-04-18

8.  Poverty reduction and equity benefits of introducing or scaling up measles, rotavirus and pneumococcal vaccines in low-income and middle-income countries: a modelling study.

Authors:  Carlos Riumallo-Herl; Angela Y Chang; Samantha Clark; Dagna Constenla; Andrew Clark; Logan Brenzel; Stéphane Verguet
Journal:  BMJ Glob Health       Date:  2018-04-09

9.  Evidence-based decision-making for vaccine introductions: Overview of the ProVac International Working Group's experience.

Authors:  Barbara Jauregui; Ana Gabriela Felix Garcia; Cara Bess Janusz; Julia Blau; Aline Munier; Deborah Atherly; Mercy Mvundura; Rana Hajjeh; Benjamin Lopman; Andrew David Clark; Louise Baxter; Raymond Hutubessy; Ciro de Quadros; Jon Kim Andrus
Journal:  Vaccine       Date:  2015-05-07       Impact factor: 3.641

10.  Impact and cost-effectiveness of rotavirus vaccination in Bangladesh.

Authors:  Clint Pecenka; Umesh Parashar; Jacqueline E Tate; Jahangir A M Khan; Devin Groman; Stephen Chacko; Md Shamsuzzaman; Andrew Clark; Deborah Atherly
Journal:  Vaccine       Date:  2017-06-13       Impact factor: 3.641

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