| dc.description.abstract | Introduction: Historically, Kenya has used various
distribution models for long-lasting insecticide-treated
bed nets (LLINs) with variable results in population
coverage. The models presently vary widely in scale,
target population and strategy. There is limited
information to determine the best combination of
distribution models, which will lead to sustained high
coverage and are operationally efficient and costeffective. Standardised cost information is needed in
combination with programme effectiveness estimates
to judge the efficiency of LLIN distribution models and
options for improvement in implementing malaria
control programmes. The study aims to address the
information gap, estimating distribution cost and the
effectiveness of different LLIN distribution models, and
comparing them in an economic evaluation.
Methods and analysis: Evaluation of cost and
coverage will be determined for 5 different distribution
models in Busia County, an area of perennial malaria
transmission in western Kenya. Cost data will be
collected retrospectively from health facilities, the
Ministry of Health, donors and distributors.
Programme-effectiveness data, defined as the number
of people with access to an LLIN per 1000 population,
will be collected through triangulation of data from a
nationally representative, cross-sectional malaria
survey, a cross-sectional survey administered to a
subsample of beneficiaries in Busia County and LLIN
distributors’ records. Descriptive statistics and
regression analysis will be used for the evaluation.
A cost-effectiveness analysis will be performed from a
health-systems perspective, and cost-effectiveness
ratios will be calculated using bootstrapping
techniques.
Ethics and dissemination: The study has been
evaluated and approved by Kenya Medical Research
Institute, Scientific and Ethical Review Unit (SERU
number 2997). All participants will provide written
informed consent. The findings of this economic
evaluation will be disseminated through peer-reviewed
publications. | en_US |
