Effective Supply Chain Strategies in Addressing Demand and Supply Uncertainty: A Case Study of Ethiopian Pharmaceutical Supply Services.

Pharmacy (Basel)

Department of Pharmaceutics and Social Pharmacy, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa P.O. Box 9086, Ethiopia.

Published: August 2024

Background: Ensuring the consistent availability of essential medicines is crucial for effective healthcare systems. However, Ethiopian public health facilities have faced frequent stockouts of crucial medications, highlighting systemic challenges such as inadequate forecasting, prolonged procurement processes, a disjointed distribution system, suboptimal data quality, and a shortage of trained professionals. This study focuses on the Ethiopian Pharmaceutical Supply Services (EPSS), known for its highly unstable and volatile supply chain, aiming to identify risks and mitigation strategies.

Methods: Using a mixed-method approach involving surveys and interviews, the research investigates successful and less successful strategies, key success factors, and barriers related to pharmaceutical shortages.

Results: Proactive measures such as communication, stock assessment, supervision, and streamlined procurement are emphasized as vital in mitigating disruptions, while reactive strategies like safety stock may lack long-term efficacy. The study highlights the importance of aligning supply chain strategies with product uncertainties, fostering collaboration, and employing flexible designs for resilience. Managerial implications stress the need for responsive structures that integrate data quality, technology, and visibility.

Conclusions: This study contributes by exploring proactive and reactive strategies, elucidating key success factors for overcoming shortages in countries with unstable supply chains, and offering actionable steps for enhancing supply chain resilience. Embracing uncertainty and implementing proactive measures can help navigate volatile environments, thereby enhancing competitiveness and sustainability.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11417768PMC
http://dx.doi.org/10.3390/pharmacy12050132DOI Listing

Publication Analysis

Top Keywords

supply chain
16
chain strategies
8
ethiopian pharmaceutical
8
pharmaceutical supply
8
supply services
8
data quality
8
key success
8
success factors
8
proactive measures
8
reactive strategies
8

Similar Publications

Background: To ensure the complete traceability of healthcare commodities, robust end-to-end data management protocols are needed for the supply chain. In Ethiopia, digital tools like Dagu-2 are used in the lower levels of the healthcare supply chain. However, there is a lack of information regarding the implementation status, factors, and challenges of Dagu-2, as it is a recent upgrade from the offline Dagu-1 application.

View Article and Find Full Text PDF

Background: Rapid, accessible, and accurate testing was paramount to an effective US COVID-19 response. Federal partners supported SARS-CoV-2 testing scale-up through an interagency-coordinated approach that focused on expanding supply chains, research and development, validation, and improving patient access. We aimed to provide an overview of the federal efforts to scale up the testing response and study the impact of scale-up.

View Article and Find Full Text PDF

Undernutrition in women and young children in Burkina Faso is a critical problem. Egg consumption is low despite many households raising poultry. The Soutenir l'Exploitation Familiale pour Lancer l'Élevage des Volailles et Valoriser l'Économie Rurale (SELEVER) project, an integrated agriculture-nutrition intervention, promoted egg consumption and sales to investigate the impact of poultry production on child nutrition.

View Article and Find Full Text PDF

Study Design: Experimental Animal Study.

Objective: To continue validating an antibody which targets an epitope of neurofilament light chain (NF-L) only available during neurodegeneration and to utilize the antibody to describe the pattern of axonal degeneration 10 days post-unilateral C4 contusion in the rat.

Setting: University of Florida laboratory in Gainesville, USA.

View Article and Find Full Text PDF
Article Synopsis
  • A classification prediction model using Gradient Boosting Decision Tree (GBDT) is developed to analyze factors leading to escape behaviors in hit-and-run crashes, based on data from the U.S. Crash Report Sampling System (CRSS).
  • GBDT outperforms other common methods like CART, Random Forest, and Logistic Regression, achieving the best metrics (lowest negative log-likelihood, misclassification rate, and highest AUC) and showcasing better computational efficiency.
  • The GBDT model uncovers previously unmentioned factors, such as crash type and relation to the trafficway, and effectively studies interactions between variables, providing valuable insights for improving hit-and-run incident prevention and safety analysis.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!