Determining the relationship between dimensions, components, and indicators of the policy-making model for crisis management in emerging infectious diseases in hospitals
Subject Areas :Mohammad Reza Madani 1 , Mohammad Reza Rabiee Mandjin 2 , mohammad varahram 3 , parvaneh Gelard 4
1 - Department of Public Administration, KI.C. Islamic Azad University, Kish Island, Iran
2 - Assistant Professor, Department of Public Administration, CT.C. Islamic Azad University, Tehran, Iran.
3 - Associate Professor of Biomedical Sciences, Mycobacteriology Research Center, National Research Institute of Tuberculosis and Lung Disease, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4 - Associate Professor, Department of Public Administration, ST.C. Islamic Azad University, Tehran, Iran
Keywords: Policy-making model indicators, public policy-making, crisis management, emerging infectious diseases,
Abstract :
Objectives: Following the COVID-19 pandemic crisis, hospitals—as the frontline of healthcare systems—faced significant challenges. Although health managers and policymakers in Iran had prior experience with crises such as war, floods, and earthquakes, they had not encountered an epidemic of an infectious disease before. This created numerous challenges for managers in public policy-making for crisis management. This paper aims to determine the relationships between dimensions, components, and indicators of a public policy-making model for crisis management in emerging infectious diseases within hospitals across the country.
Methodology: This study is applied in terms of objective and descriptive-survey in terms of method with a quantitative approach. The statistical population included 2,049 employees from Masih Daneshvari Hospital, Ansari Hospital, and Imam Hossein Hospital in Tehran. Using the Klein formula, a sample of 387 participants was selected through simple random cluster sampling. Data collection was conducted via a researcher-made survey tool. The data were analyzed using Structural Equation Modeling (SEM) with Partial Least Squares (PLS) approach in Smart-PLS software.
Results: The findings indicated that all model indicators had factor loadings greater than 0.4 and were significant at the 95% confidence level (t > 1.96) and 99% confidence level (t > 2.96).
Originality and Research Contribution: If clarity of managers’ missions, planning orientation, and crisis forecasting are prioritized in the decisions and actions of crisis management organization managers, the implementation of policies will be facilitated. Achieving this requires managerial capability in policy-making, planning, and legislation.
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