Ozawa S et al.2018. Prevalence and estimated economic burden of substandard and falsified medicines in low- and middle-income countries: a systematic review and meta-analysis. JAMA Netw Open 1: e181662.
World Health Organization, 2017. Seventieth World Health Assembly Update, 29 May 2017. Geneva, Switzerland: WHO.
World Health Organization , 2017. A Study on the Public Health and Socioeconomic Impact of Substandard and Falsified Medical Products. Geneva, Switzerland: WHO.
World Health Organization , 2017. WHO Global Surveillance and Monitoring System for Substandard and Falsified Medical Products. Geneva, Switzerland: WHO.
Ozawa S, Evans DR, Higgins CR, Laing SK, Awor P , 2019. Development of an agent-based model to assess the impact of substandard and falsified anti-malarials: Uganda case study. Malar J 18: 5.
Nayyar GM, Breman JG, Newton PN, Herrington J , 2012. Poor-quality antimalarial drugs in Southeast Asia and sub-Saharan Africa. Lancet Infect Dis 12: 488–496.
Talisuna AO et al.2012. Mitigating the threat of artemisinin resistance in Africa: improvement of drug-resistance surveillance and response systems. Lancet Infect Dis 12: 888–896.
World Health Organization, 2021. WHO Guidelines for Malaria. Geneva, Switzerland: World Health Organization, 1--214.
World Health Organization , 2018. World Malaria Report 2018. Geneva, Switzerland: World Health Organization.
Evans D, Higgins C, Laing S, Awor P, Ozawa S, 2019. Poor-quality antimalarials further health inequities in Uganda. Health Policy Plan 34 (Suppl 3): iii36–iii47.
Ozawa S et al.2019. Modeling the economic impact of substandard and falsified antimalarials in the Democratic Republic of the Congo. Am J Trop Med Hyg. 100: 1149–1157
Beargie SM, Higgins CR, Evans DR, Laing SK, Erim D, Ozawa S , 2019. The economic impact of substandard and falsified antimalarial medications in Nigeria. PLoS One 14: e0217910.
Jackson KD et al.2020. Impact of substandard and falsified antimalarials in Zambia: application of the SAFARI model. BMC Public Health 20: 1083.
Zinsou C, Cherifath AB , 2017. The malaria testing and treatment landscape in Benin. Malar J 16: 174.
Conte R, Paolucci M , 2014. On agent-based modeling and computational social science. Front Psychol 5: 668.
ACTwatch Group and Association Beninoise Pourle Marketing Social (ABMS), 2016. ACTwatch Study Reference Document: Benin Outlet Survey 2014. Washington, DC: Population Services International.
Abdulla S et al.2008. Efficacy and safety of artemether– lumefantrine dispersible tablets compared with crushed commercial tablets in African infants and children with uncomplicated malaria: a randomised, single-blind, multicentre trial. Lancet 372: 1819–1827.
Faucher JF et al.2009. Comparison of sulfadoxine– pyrimethamine, unsupervised artemether–lumefantrine, and unsupervised artesunate–amodiaquine fixed-dose formulation for uncomplicated Plasmodium falciparum malaria in Benin: a randomized effectiveness noninferiority trial. J Infect Dis 200: 57–65.
Institut National de la Statistique et de l’Analyse Économique (INSAE) and ICF, 2019. Benin Demographic and Health Survey 2017–18 [Dataset]. Rockville, MD: INSAE and ICF [Producers]. ICF [Distributor], 2019.
United Nations Conference on Trade and Development , n.d. Currency Exchange Rates, Annual, 2018. Available at: https://unctadstat.unctad.org/wds/TableViewer/tableView.aspx?ReportId=117. Accessed September 29, 2021.
The World Bank, 2018. GDP per capita (current US$) - Benin 2018. Available at: https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=BJ. Accessed September 10, 2021.
United States President’s Malaria Initiative, 2018. Benin: Malaria Operational Plan FY 2018. Available at: https://d1u4sg1s9ptc4z.cloudfront.net/uploads/2021/03/fy-2018-benin-malaria-operational-plan.pdf. Accessed October 1, 2021.
Lubell Y et al.2011. Likely health outcomes for untreated acute febrile illness in the tropics in decision and economic models: a Delphi survey. PLoS One 6: e17439.
Baba-Moussa F et al.2015. Quality control of selected antimalarials sold in the illicit market: an investigation conducted in Porto-Novo City (Republic of Benin). Adv Biosci Biotechnol 6: 637–644.
Kaur H et al.2015. Quality of artemisinin-based combination formulations for malaria treatment: prevalence and risk factors for poor quality medicines in public facilities and private sector drug outlets in Enugu, Nigeria. PLoS One 10: e0125577.
Kaur H et al.2016. Fake anti-malarials: start with the facts. Malar J 15: 86.
Ioset JR, Kaur H , 2009. Simple field assays to check quality of current artemisinin-based antimalarial combination formulations. PLoS One 4: e7270.
Ochekpe NAAA, Attah SE , 2010. Correlation of price and quality of medicines: assessment of some artemisinin antimalarials in Nigeria based on GPHF minilab. Int J Drug Dev Res. 2: 211–218.
Onwujekwe O et al.2009. Quality of anti-malarial drugs provided by public and private healthcare providers in south-east Nigeria. Malar J 8: 22.
Sarbartova JT, 2011. Survey of the Quality of Selected Antimalarial Medicines Circulating in Six Countries of Sub-Saharan Africa. Geneva, Switzerland: WHO, 1–118.
Affum AO, Lowor S, Osae SD, Dickson A, Gyan BA, Tulasi D , 2013. A pilot study on quality of artesunate and amodiaquine tablets used in the fishing community of Tema, Ghana. Malar J 12: 220.
Nyarko SH, Cobblah A , 2014. Sociodemographic determinants of malaria among under-five children in Ghana. Malar Res Treat 2014: 304361.
Camponovo F, Bever CA, Galactionova K, Smith T, Penny MA , 2017. Incidence and admission rates for severe malaria and their impact on mortality in Africa. Malar J 16: 1.
Bruxvoort K et al.2015. Are Tanzanian patients attending public facilities or private retailers more likely to adhere to artemisinin-based combination therapy? Malar J 14: 87.
World Health Organization , 2015. Guidelines for the Treatment of Malaria, 3rd edition. Geneva, Switzerland: WHO.
Dondorp AM et al.2010. Artesunate versus quinine in the treatment of severe falciparum malaria in African children (AQUAMAT): an open-label, randomised trial. Lancet 376: 1647–1657.
Rashed S et al.2000. Economic impact of febrile morbidity and use of permethrin-impregnated bed-nets in a malarious area I: study of demographics, morbidity, and household expenditures associated with febrile morbidity in the Republic of Benin. Am J Trop Med Hyg 62: 173–180.
Hansen KS, Clarke SE, Lal S, Magnussen P, Mbonye AK , 2017. Cost-effectiveness analysis of introducing malaria diagnostic testing in drug shops: a cluster-randomised trial in Uganda. PLoS One 12: e0189758.
Batwala V, Magnussen P, Hansen KS, Nuwaha F , 2011. Cost-effectiveness of malaria microscopy and rapid diagnostic tests versus presumptive diagnosis: implications for malaria control in Uganda. Malar J 10: 372.
Jimoh A, Sofola O, Petu A, Okorosobo T , 2007. Quantifying the economic burden of malaria in Nigeria using the willingness to pay approach. Cost Eff Resour Alloc 5: 6.
Salawu AT, Fawole OI, Dairo MD , 2016. Patronage and cost of malaria treatment in private hospitals in Ibadan North L.G.A. southwestern, Nigeria. Ann Ib Postgrad Med 14: 81–84.
Uzochukwu BS, Obikeze EN, Onwujekwe OE, Onoka CA, Griffiths UK , 2009. Cost-effectiveness analysis of rapid diagnostic test, microscopy and syndromic approach in the diagnosis of malaria in Nigeria: implications for scaling-up deployment of ACT. Malar J 8: 265.
Onwujekwe O, Uguru N, Etiaba E, Chikezie I, Uzochukwu B, Adjagba A , 2013. The economic burden of malaria on households and the health system in Enugu State southeast Nigeria. PLoS One 8: e78362.
Management Sciences for Health , n.d. International Medical Products Price Guide. Available at: https://www.msh.org/resources/international-medical-products-price-guide?DMFId=690&searchYear=2015. Accessed September 28, 2021.
World Health Organization , 2010. Country-Specific Inpatient and Outpatient Estimates in 2010 Currency. Geneva, Switzerland: WHO.
Ganfon H, Ekanmian G, Amoussou L, Daniel-Garcia E, Allabi AC , 2017. Evaluation of the knowledge and attitude of pharmacists about the national malaria control policy in southern Benin. Malar J 16: 231.
United States President's Malaria Initiative, 2020. Benin: Malaria Operational Plan FY 2020. Available at: https://d1u4sg1s9ptc4z.cloudfront.net/uploads/2021/03/fy-2020-benin-malaria-operational-plan.pdf. Accessed October 1, 2021.
Kikule K, Nfor E, Saleeb S, 2018. Optimizing the Marketing Authorization Process in Benin: Institutionalization and Development of Medicines Registration Standard Operating Procedures. Arlington, VA: Management Sciences for Health.
World Health Organization , 2018. Number of Deaths in Children Aged <5, by Cause. Geneva, Switzerland: WHO. Available at: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/number-of-deaths. 2018. Accessed September 28, 2021.
Past two years | Past Year | Past 30 Days | |
---|---|---|---|
Abstract Views | 1683 | 1432 | 154 |
Full Text Views | 67 | 43 | 2 |
PDF Downloads | 66 | 49 | 0 |
Substandard and falsified antimalarials contribute to the global malaria burden by increasing the risk of treatment failures, adverse events, unnecessary health expenditures, and avertable deaths. Yet no study has examined this impact in western francophone Africa to date. In Benin, where malaria remains endemic and is the leading cause of mortality among children under five years of age, there is a lack of robust data to combat the issue effectively and inform policy decisions. We adapted the Substandard and Falsified Antimalarial Research Impact (SAFARI) model to assess the health and economic impact of poor-quality antimalarials in this population. The model simulates population characteristics, malaria infection, care-seeking behavior, disease progression, treatment outcomes, and associated costs of malaria. We estimated approximately 1.8 million cases of malaria in Benin among children under five, which cost $193 million (95% CI, $192–$193 million) in treatment costs and productivity losses annually. Substandard and falsified antimalarials were responsible for 11% (nearly 700) of deaths and nearly $20.8 million in annual costs. Moreover, we found that replacing all antimalarials with quality-assured artemisinin combination therapies (ACTs) could result in $29.6 million in annual cost savings and prevent over 1,000 deaths per year. These results highlight the value of improving access to quality-assured ACTs for malaria treatment in Benin. Policy makers and key stakeholders should use these findings to advocate for increased access to quality-assured antimalarials and inform policies and interventions to improve health care access and quality to reduce the burden of malaria.
Authors’ addresses: Vy Bui and Colleen R. Higgins, Division of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, E-mails: vybui@email.unc.edu and collhigg@unc.edu. Sarah Laing, Duke Global Health Institute, Duke University, Durham, NC, E-mail: sarah.laing@duke.edu. Sachiko Ozawa, Division of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, and Department of Maternal Child Health, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, E-mail: ozawa@unc.edu.