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Supporting the revision of the health benefits package in Uganda: A constrained optimisation approach.
Mohan, Sakshi; Walker, Simon; Sengooba, Freddie; Kiracho, Elizabeth Ekirapa; Mayora, Chrispus; Ssennyonjo, Aloysius; Aliti, Candia Tom; Revill, Paul.
Afiliação
  • Mohan S; Center for Health Economics, University of York, York, UK.
  • Walker S; Center for Health Economics, University of York, York, UK.
  • Sengooba F; School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
  • Kiracho EE; School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
  • Mayora C; School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
  • Ssennyonjo A; School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
  • Aliti CT; Ministry of Health, Kampala, Uganda.
  • Revill P; Center for Health Economics, University of York, York, UK.
Health Econ ; 32(6): 1244-1255, 2023 06.
Article em En | MEDLINE | ID: mdl-36922365
ABSTRACT
This study demonstrates how the linear constrained optimization approach can be used to design a health benefits package (HBP) which maximises the net disability adjusted life years (DALYs) averted given the health system constraints faced by a country, and how the approach can help assess the marginal value of relaxing health system constraints. In the analysis performed for Uganda, 45 interventions were included in the HBP in the base scenario, resulting in a total of 26.7 million net DALYs averted. When task shifting of pharmacists' and nutrition officers' tasks to nurses is allowed, 73 interventions were included in the HBP resulting in a total of 32 million net DALYs averted (a 20% increase). Further, investing only $58 towards hiring additional nutrition officers' time could avert one net DALY; this increased to $60 and $64 for pharmacists and nurses respectively, and $100,000 for expanding the consumable budget, since human resources present the main constraint to the system.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Orçamentos Tipo de estudo: Health_economic_evaluation Limite: Humans País como assunto: Africa Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Orçamentos Tipo de estudo: Health_economic_evaluation Limite: Humans País como assunto: Africa Idioma: En Ano de publicação: 2023 Tipo de documento: Article