Elsevier

Vaccine

Volume 37, Issue 3, 14 January 2019, Pages 464-472
Vaccine

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

https://doi.org/10.1016/j.vaccine.2018.11.062Get rights and content
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open access

Highlights

  • Little is known about the practical challenges that NITAGs in LMICs face.

  • Kenyan local disease burden data were critical for influenza vaccine deliberations.

  • Significant gaps in local data limited the vaccine recommendation to 1 target group.

  • Insufficient dedicated personnel and funding hindered NITAG activities.

  • Programmatic costs are an important consideration for policy makers.

  • Economic evaluation data should be further emphasised in vaccine policy decisions.

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.

Keywords

Immunisation
Policy
Low- and middle-income country
Influenza vaccination program

Abbreviations

AMP
Agence de Médecine Préventive (Agency of Preventive Medicine)
CDC
Centers for Disease Control and Prevention
HIC
High Income Countries
IVWG
Influenza Vaccine Working Group
NVIP
National Vaccines Immunization Program
KENITAG
Kenya National Immunization Technical Advisory Group
LMIC
Low and Middle Income Countries
MoH
Ministry of Health
NIP
National Immunization Program
NITAG
National Immunization Technical Advisory Group
SIVAC Initiative
Supporting Independent Immunization and Vaccine Advisory Committees Initiative
UNITAG
Uganda National Immunization Technical Advisory Group
WG
Working Group

Cited by (0)

1

Present address: Washington State University, Global Health Program, Kenya Office P. O. Box 72398-00200, Nairobi, Kenya.

2

Present address: Independent consultant, Immunization Policy, Nairobi, Kenya.

3

KENITAG authors: Core members: Fred Were (chair, KENITAG), Marybeth Maritim (co-chair, KENITAG), Evans Amukoye (chair, Influenza Vaccine Working Group (IVWG)), Zipporah Gatheru (co-chair, IVWG), Kiama Wangai, David Githanga, Dismas Ongore, Christopher Gontier, Bonface Osano, Julius Tuei. Secretariat: Phillip Muthoka, Collins Tabu, Ephantus Maree, Rosalia Kalani, Edwina Anyango, Dominic Mutie, Samson Thuo.