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Reducing stock-outs of essential tuberculosis medicines: a system dynamics modelling approach to supply chain management.
Bam, L; McLaren, Z M; Coetzee, E; von Leipzig, K H.
Afiliación
  • Bam L; Department of Industrial Engineering, Stellenbosch University, PO Box X1, Matieland, 7600, South Africa.
  • McLaren ZM; School of Public Health, University of Michigan, 1415 Washington Heights, M3166, Ann Arbor, MI, USA.
  • Coetzee E; Department of Industrial Engineering, Stellenbosch University, PO Box X1, Matieland, 7600, South Africa.
  • von Leipzig KH; Department of Industrial Engineering, Stellenbosch University, PO Box X1, Matieland, 7600, South Africa.
Health Policy Plan ; 32(8): 1127-1134, 2017 Oct 01.
Article en En | MEDLINE | ID: mdl-28541542
The under-performance of supply chains presents a significant hindrance to disease control in developing countries. Stock-outs of essential medicines lead to treatment interruption which can force changes in patient drug regimens, drive drug resistance and increase mortality. This study is one of few to quantitatively evaluate the effectiveness of supply chain policies in reducing shortages and costs. This study develops a systems dynamics simulation model of the downstream supply chain for amikacin, a second-line tuberculosis drug using 10 years of South African data. We evaluate current supply chain performance in terms of reliability, responsiveness and agility, following the widely-used Supply Chain Operation Reference framework. We simulate 141 scenarios that represent different combinations of supplier characteristics, inventory management strategies and demand forecasting methods to identify the Pareto optimal set of management policies that jointly minimize the number of shortages and total cost. Despite long supplier lead times and unpredictable demand, the amikacin supply chain is 98% reliable and agile enough to accommodate a 20% increase in demand without a shortage. However, this is accomplished by overstocking amikacin by 167%, which incurs high holding costs. The responsiveness of suppliers is low: only 57% of orders are delivered to the central provincial drug depot within one month. We identify three Pareto optimal safety stock management policies. Short supplier lead time can produce Pareto optimal outcomes even in the absence of other optimal policies. This study produces concrete, actionable guidelines to cost-effectively reduce stock-outs by implementing optimal supply chain policies. Preferentially selecting drug suppliers with short lead times accommodates unexpected changes in demand. Optimal supply chain management should be an essential component of national policy to reduce the mortality rate.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tuberculosis / Amicacina / Medicamentos Esenciales / Antibacterianos Tipo de estudio: Guideline / Prognostic_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Health Policy Plan Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE / SAUDE PUBLICA Año: 2017 Tipo del documento: Article País de afiliación: Sudáfrica Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tuberculosis / Amicacina / Medicamentos Esenciales / Antibacterianos Tipo de estudio: Guideline / Prognostic_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Health Policy Plan Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE / SAUDE PUBLICA Año: 2017 Tipo del documento: Article País de afiliación: Sudáfrica Pais de publicación: Reino Unido