Producing Standardized Country-Level Immunization Delivery Unit Cost Estimates

Allison Portnoy (), Kelsey Vaughan, Emma Clarke-Deelder, Christian Suharlim, Stephen C. Resch, Logan Brenzel and Nicolas A. Menzies
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Allison Portnoy: Harvard T.H. Chan School of Public Health, Center for Health Decision Science
Kelsey Vaughan: Thinkwell
Emma Clarke-Deelder: Harvard T.H. Chan School of Public Health
Christian Suharlim: Harvard T.H. Chan School of Public Health, Center for Health Decision Science
Stephen C. Resch: Harvard T.H. Chan School of Public Health, Center for Health Decision Science
Logan Brenzel: Bill & Melinda Gates Foundation
Nicolas A. Menzies: Harvard T.H. Chan School of Public Health, Center for Health Decision Science

PharmacoEconomics, 2020, vol. 38, issue 9, No 9, 995-1005

Abstract: Abstract Background To plan for the financial sustainability of immunization programs and make informed decisions to improve immunization coverage and equity, decision-makers need to know how much these programs cost beyond the cost of the vaccine. Non-vaccine delivery cost estimates can significantly influence the cost-effectiveness estimates used to allocate resources at the country level. However, many low- and middle-income countries (LMICs) do not have immunization delivery unit cost estimates available, or have estimates that are uncertain, unreliable, or old. We undertook a Bayesian evidence synthesis to generate country-level estimates of immunization delivery unit costs for LMICs. Methods From a database of empirical immunization costing studies, we extracted estimates of the delivery cost per dose for routine childhood immunization services, excluding vaccine costs. A Bayesian meta-regression model was used to regress delivery cost per dose estimates, stratified by cost category, against a set of predictor variables including country-level [gross domestic product per capita, reported diphtheria-tetanus-pertussis third dose coverage (DTP3), population, and number of doses in the routine vaccination schedule] and study-level (study year, single antigen or programmatic cost per dose, and financial or economic cost) predictors. The fitted prediction model was used to generate standardized estimates of the routine immunization delivery cost per dose for each LMIC for 2009–2018. Alternative regression models were specified in sensitivity analyses. Results We estimated the prediction model using the results from 29 individual studies, covering 24 countries. The predicted economic cost per dose for routine delivery of childhood vaccines (2018 US dollars), not including the price of the vaccine, was $1.87 (95% uncertainty interval $0.64–4.38) across all LMICs. By individual cost category, the programmatic economic cost per dose for routine delivery of childhood vaccines was $0.74 ($0.26–1.70) for labor, $0.26 ($0.08–0.67) for supply chain, $0.22 ($0.06–0.57) for capital, and $0.65 ($0.20–1.66) for other service delivery costs. Conclusions Accurate immunization delivery costs are necessary for assessing the cost-effectiveness and strategic planning needs of immunization programs. The cost estimates from this analysis provide a broad indication of immunization delivery costs that may be useful when accurate local data are unavailable.

Date: 2020
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DOI: 10.1007/s40273-020-00930-6

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