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1.
Malar J ; 20(1): 407, 2021 Oct 18.
Artigo em Inglês | MEDLINE | ID: mdl-34663345

RESUMO

BACKGROUND: Malaria, pneumonia and diarrhoea continue to be the leading causes of death in children under the age of five years (U5) in Uganda. To combat these febrile illnesses, integrated community case management (iCCM) delivery models utilizing community health workers (CHWs) or drug sellers have been implemented. The purpose of this study is to compare the cost-effectiveness of delivering iCCM interventions via drug sellers versus CHWs in rural Uganda. METHODS: This study was a cost-effectiveness analysis to compare the iCCM delivery model utilizing drug sellers against the model using CHWs. The effect measure was the number of appropriately treated U5 children, and data on effectiveness came from a quasi-experimental study in Southwestern Uganda and the inSCALE cross-sectional household survey in eight districts of mid-Western Uganda. The iCCM interventions were costed using the micro-costing (ingredients) approach, with costs expressed in US dollars. Cost and effect data were linked together using a decision tree model and analysed using the Amua modelling software. RESULTS: The costs per 100 treated U5 children were US$591.20 and US$298.42 for the iCCM trained-drug seller and iCCM trained-CHW models, respectively, with 30 and 21 appropriately treated children in the iCCM trained-drug seller and iCCM trained-CHW models. When the drug seller arm (intervention) was compared to the CHW arm (control), an incremental effect of 9 per 100 appropriately treated U5 children was observed, as well as an incremental cost of US$292.78 per 100 appropriately treated children, resulting in an incremental cost-effectiveness ratio (ICER) of US$33.86 per appropriately treated U5 patient. CONCLUSION: Since both models were cost-effective compared to the do-nothing option, the iCCM trained-drug seller model could complement the iCCM trained-CHW intervention as a strategy to increase access to quality treatment.


Assuntos
Agentes Comunitários de Saúde/economia , Diarreia/terapia , Malária/terapia , Farmacêuticos/economia , Pneumonia/terapia , Cuidadores/economia , Pré-Escolar , Estudos de Coortes , Agentes Comunitários de Saúde/normas , Análise Custo-Benefício , Árvores de Decisões , Diarreia/economia , Diarreia/mortalidade , Custos de Medicamentos , Custos de Cuidados de Saúde , Humanos , Lactente , Malária/economia , Malária/mortalidade , Farmacêuticos/normas , Pneumonia/economia , Pneumonia/mortalidade , População Rural , Sensibilidade e Especificidade , Uganda
2.
Future Oncol ; 17(21): 2735-2745, 2021 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-33855863

RESUMO

Cancer is one of the leading causes of death with 9.6 million deaths registered in 2018, of which 70% occur in Africa, Asia and Central and South America, the low-and middle-income countries (LMICs). The global annual expenditure on anticancer medicines increased from $96 billion in 2013 to $133 billion in 2017. This growth rate is several folds that of newly diagnosed cancer cases and therefore estimated to reach up to $200 billion by 2022. The Uganda Cancer Institute, Uganda's national referral cancer center, has increased access to cancer medicines through an efficient and cost-saving procurement system. The system has achieved cost savings of more than USD 2,000,000 on a total of 37 of 42 essential cancer medicines. This has resulted in 85.8% availability superseding the WHO's 80% target. All selected products were procured from manufacturers with stringent regulatory authority approval or a proven track record of quality products.


Assuntos
Antineoplásicos/economia , Países em Desenvolvimento/economia , Medicamentos Essenciais/provisão & distribuição , Acessibilidade aos Serviços de Saúde/organização & administração , Neoplasias/tratamento farmacológico , Antineoplásicos/uso terapêutico , Redução de Custos/métodos , Redução de Custos/estatística & dados numéricos , Custos de Medicamentos/estatística & dados numéricos , Medicamentos Essenciais/economia , Saúde Global/estatística & dados numéricos , Acessibilidade aos Serviços de Saúde/economia , Humanos , Neoplasias/economia , Uganda
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