Tabriz University of Medical Sciences Depiction of Health 2008-9058 12 4 2021 12 22 Developing Hospital Resilient Supply Chain Scenario through Cross-Impact Analysis Method 310 319 10.34172/doh.2021.30 EN Afsaneh Khademi Jolgeh Nejad https://orcid.org/0000-0002-8102-4527 Reza Ahmadi Kahnali https://orcid.org/0000-0002-6880-1993 Ali Heyrani https://orcid.org/0000-0001-6355-5191 Journal Article 10.34172/doh.2021.30 2021 01 06 2021 02 24 Background and Objectives The hospital and its supply chain must be resilient in the critical situations. Developing scenario is an important tool for planning and decision-making process in these situations. Therefore, this study intended to develop possible scenarios for hospital supply chain resilience. Material and Methods This research study is applied in terms of purpose and is based the scenario method and the probabilistic trends approach. The participants of the study were 14 experts from two hospitals who were selected through a purposeful sampling method. The data obtained in the first phase of the semi-structured interviews, were coded and analyzed through using MAXQDA software. In the next phase, the cross impact analysis questionnaire was used to develop the scenario and the analysis of the data was performed through Scenario Wizard software. Results The results of combining 35 states for 12 factors affecting hospital resilience which also included all possible future states, showed that 7 scenarios with high adaptation and 467 scenarios with poor adaptation can be considered. Strong scenarios were divided into three groups of scenarios as "optimistic", "intermediate" and "pessimistic" based on similarity and degree of desirability. Conclusion The Findings revealed that the strength of the impact of unfavorable states was more than that of favorable states. Therefore, for the resilience of the hospital supply chain, it is necessary to pay more attention to unfavorable scenarios to provide the necessary preparation to face those states, and with proper planning, the desired states can be achieved.