Université Internationale de Rabat, Parc Technopolis Rocade de Rabat-Sale, Morocco.
Ghent University, Gent, Belgium.
Health Serv Manage Res. 2020 Aug;33(3):143-155. doi: 10.1177/0951484820901668. Epub 2020 Jan 29.
Public-private partnerships in emerging countries are gradually considered a tool for growth development. One particular public-private partnership is that of outsourcing logistics in the healthcare sector. These partnerships provide several benefits for both private and public sectors but are generally associated with numerous risks that must be evaluated and subsequently managed. The aim in this paper is to develop a risk evaluation approach to rank risks when decision makers' judgment is taken into consideration and where traditional risk evaluation techniques become less applicable. The proposed approach makes use of fuzzy multi-criteria decision analysis methods since they are efficient techniques to rank alternatives based on selected evaluation criteria and can accommodate human judgment and preferences. The approach treats predetermined risks like alternatives, and evaluation criteria are represented by areas of impact of the risks. To validate the approach, we applied it to a real case of logistics outsourcing to private service providers in a Moroccan public pharmaceutical supply chain. The ranking results obtained show that the two methods lead to some differences in ranking but are highly correlated. The obtained results support healthcare policy makers in setting priorities to effectively deploy preventive and mitigation efforts.
在新兴国家，公私合作伙伴关系正逐渐被视为一种促进增长的手段。一种特殊的公私合作伙伴关系是医疗保健部门的物流外包。这些合作伙伴关系为私营和公共部门带来了诸多好处，但通常也伴随着许多风险，这些风险必须经过评估和管理。本文旨在开发一种风险评估方法，在考虑决策者判断的情况下对风险进行排序，而传统的风险评估技术在此情况下的适用性降低。所提出的方法利用模糊多准则决策分析方法，因为这些方法是基于选定的评估标准对替代方案进行排序的有效技术，并且可以适应人为判断和偏好。该方法将预定风险视为替代方案，评估标准由风险的影响领域表示。为了验证该方法，我们将其应用于摩洛哥公共药品供应链中物流外包给私营服务提供商的实际案例。所获得的排名结果表明，这两种方法在排名上存在一些差异，但相关性很高。所获得的结果支持医疗保健政策制定者确定优先事项，以有效地部署预防和缓解措施。
