Open AccessIdentifying Key Factors Related to the Resource Allocation in the Health Sector of the Iranian Oil Industry: Application of DEMATEL Method
Author(s) -
Somayeh Nouri,
Leila Riahi,
Kamran Haji Nabi,
Katayoun Jahangiri
Publication year - 2020
Publication title -
health scope
Language(s) - English
Resource type - Journals
eISSN - 2251-9513
pISSN - 2251-8959
DOI - 10.5812/jhealthscope.97728
Subject(s) - business , resource allocation , resource (disambiguation) , population , environmental economics , marketing , operations management , environmental health , medicine , computer science , engineering , economics , computer network
Background: Resource allocation is one of the major challenges of health systems. Various criteria are used to allocate health resources worldwide. Objectives: The current study aimed to identify and prioritize key factors related to the resource allocation in the health sector of the Iranian Oil Industry using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. Methods: This cross-sectional case study was conducted in two main phases during 2017. In the first phase, the literature review and interviews with experts (n = 6) were used to identify initial criteria for resource allocation. Then, considering the views of high and middle managers in the health sector of the Iranian Oil Industry, the final criteria were selected. In the second phase, the DEMATEL technique was used to assess the interactions among the selected criteria. Results: A total of nine criteria were entered into the DEMATEL final questionnaire. Criteria were divided into two main groups of influencing and influenced factors. The high-level documents and general policies of the health system (C1), the burden of diseases (C2), the number of population covered (C4), the infrastructure of the covered regions (C5), and population health needs (C8) were among factors that influenced other factors. Factors such as current budget (C3), the expected benefits of people (C6), the expected benefits of policymakers (C7), and the financial returns of the resource allocation (C9) were among the factors that were influenced by other factors. The number of covered population (C4) and the infrastructure of the regions (C5) were not influenced by other factors but could affect other factors. High-level documents (C1) and the burden of diseases (C2) were identified as independent factors. Conclusions: While allocating resources, policymakers should pay particular attention to influencing factors. The number of population covered in each region and the infrastructure available in each region were identified as key and important criteria in the resource allocation process. It is suggested that these factors be considered while allocating resources to different regions of the country.