Optima TB: A tool to help optimally allocate tuberculosis spending
نویسندگان
چکیده
Approximately 85% of tuberculosis (TB) related deaths occur in low- and middle-income countries where health resources are scarce. Effective priority setting is required to maximise the impact limited budgets. The Optima TB tool has been developed support analytical capacity inform evidence-based processes for benefits package design. This paper outlines framework how it was applied Belarus, an upper-middle income country Eastern Europe with a relatively high burden TB. population-based disease transmission model, programmatic cost functions optimisation algorithm. Modelled populations include age-differentiated general higher-risk such as people living HIV. Populations prospective interventions defined consultation local stakeholders. In partnership latter, demographic, epidemiological, programmatic, well spending data these then collated. An analysis conducted using program objectives constraints collaboration stakeholders, which included experts, decision makers, funders organisations involved service delivery, technical assistance. These analyses show that possible improve by redistributing current Belarus. Specifically, shifting funding from inpatient- outpatient-focused care models, mass screening active case finding strategies, could reduce prevalence mortality up 45% 50%, respectively, 2035. addition, optimised allocation lead reduction drug-resistant infections 40% over this period. would progress towards national targets without additional financial resources. study Belarus demonstrates reallocations across existing new have substantial on outcomes. highlights potential similar modelling tools setting.
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ژورنال
عنوان ژورنال: PLOS Computational Biology
سال: 2021
ISSN: ['1553-734X', '1553-7358']
DOI: https://doi.org/10.1371/journal.pcbi.1009255