Literature DB >> 30502070

Developing a seasonal influenza vaccine recommendation in Kenya: Process and challenges faced by the National Immunization Technical Advisory Group (NITAG).

Jeanette Dawa1, Sandra S Chaves2, Antoinette Ba Nguz3, Rosalia Kalani4, Edwina Anyango5, Dominic Mutie5, Phillip Muthoka5, Collins Tabu5, Marybeth Maritim6, Evans Amukoye6, Fred Were6.   

Abstract

BACKGROUND: In 2014 the Kenya National Immunization Technical Advisory Group (KENITAG) was asked by the Ministry of Health to provide an evidence-based recommendation on whether the seasonal influenza vaccine should be introduced into the national immunization program (NIP).
METHODS: We reviewed KENITAG manuals, reports and meeting minutes generated between June 2014 and June 2016 in order to describe the process KENITAG used in arriving at that recommendation and the challenges encountered.
RESULTS: KENITAG developed a recommendation framework to identify critical, important and non-critical data elements that would guide deliberations on the subject. Literature searches were conducted in several databases and the quality of scientific articles obtained was assessed using the Critical Appraisal Skills Programme tool. There were significant gaps in knowledge on the national burden of influenza disease among key risk groups, i.e., pregnant women, individuals with co-morbidities, the elderly and health care workers. Insufficient funding and limited work force hindered KENITAG activities. In 2016 KENITAG recommended introduction of the annual seasonal influenza vaccine among children 6 to 23 months of age. However, the recommendation was contingent on implementation of a pilot study to address gaps in local data on the socio-economic impact of influenza vaccination programs, strategies for vaccine delivery, and the impact of the vaccination program on the healthcare workforce and existing immunization program. KENITAG did not recommend the influenza vaccine for any other risk group due to lack of local burden of disease data.
CONCLUSION: Local data are a critical element in NITAG deliberations, however, where local data and in particular burden of disease data are lacking, there is need to adopt scientifically acceptable methods of utilizing findings from other countries to inform local decisions in a manner that is valid and acceptable to decision makers.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Immunisation; Influenza vaccination program; Low- and middle-income country; Policy

Mesh:

Substances:

Year:  2018        PMID: 30502070     DOI: 10.1016/j.vaccine.2018.11.062

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


  11 in total

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2.  Postmortem Study of Cause of Death Among Children Hospitalized With Respiratory Illness in Kenya.

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3.  The partnership for influenza vaccine introduction (PIVI): Supporting influenza vaccine program development in low and middle-income countries through public-private partnerships.

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Authors:  Festus M Nyasimi; David Collins Owuor; Joyce M Ngoi; Alexander G Mwihuri; Grieven P Otieno; James R Otieno; George Githinji; Joyce U Nyiro; David James Nokes; Charles N Agoti
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6.  Priority setting of vaccine introduction in Bangladesh: a multicriteria decision analysis study.

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8.  Genetic characterization of influenza A(H3N2) viruses circulating in coastal Kenya, 2009-2017.

Authors:  D Collins Owuor; Joyce M Ngoi; James R Otieno; Grieven P Otieno; Festus M Nyasimi; Joyce U Nyiro; Charles N Agoti; Sandra S Chaves; D James Nokes
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9.  Drivers and barriers of vaccine acceptance among pregnant women in Kenya.

Authors:  Nancy A Otieno; Fredrick Otiato; Bryan Nyawanda; Maxwel Adero; Winnie N Wairimu; Dominic Ouma; Raphael Atito; Andrew Wilson; Ines Gonzalez-Casanova; Fauzia A Malik; Marc-Alain Widdowson; Saad B Omer; Sandra S Chaves; Jennifer R Verani
Journal:  Hum Vaccin Immunother       Date:  2020-03-25       Impact factor: 3.452

10.  Seasonal influenza vaccination in Kenya: an economic evaluation using dynamic transmission modelling.

Authors:  Jeanette Dawa; Gideon O Emukule; Edwine Barasa; Marc Alain Widdowson; Omu Anzala; Edwin van Leeuwen; Marc Baguelin; Sandra S Chaves; Rosalind M Eggo
Journal:  BMC Med       Date:  2020-08-20       Impact factor: 8.775

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