Evaluation the Strategies for Explaining           the Managed Care Model for Emerging Respiratory Infectious Diseases(COVID-19)  in Iran's Health System

Nazari , H; Ostavar , R; Soltani , H

doi:10.61186/armaghanj.29.2.312

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Volume 29, Issue 2 (3-2024)

__Armaghane Danesh__ 2024, 29(2): 312-327

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Evaluation the Strategies for Explaining the Managed Care Model for Emerging Respiratory Infectious Diseases(COVID-19) in Iran's Health System

H Nazari¹

, R Ostavar

², H Soltani³

1- Department of Health Management and Medical Services, Shiraz Branch, Islamic Azad University, Shiraz, Iran,
2- Department of Health Management and Medical Services, Shiraz Branch, Islamic Azad University, Shiraz, Iran, , rahimostvar@gmail.com
3- Department of Public Administration, Shiraz Branch, Islamic Azad University, Shiraz, Iran

Abstract: (462 Views)

Background & aim: People, during recent decades, has been faced with atmospheric phenomena and environmental changes on the one hand, and with the emergence of new diseases on the other hand. The management of emerging diseases requires considering the ethical approach to control and care for these diseases. Ethical dilemmas resulting from new diagnostic and therapeutic advances in medical science have folded the necessity of dealing with medical ethics. One of the emerging diseases in the present century that practically the world has faced is the COVID-19 disease. Therefore, the purpose of the present study was to determine and identify the indicators related to the management of respiratory epidemics using Delphi phase D method and interpretive structural modeling.

Methods: The present case study and semi-structured interview was conducted on 12 experts and professors in 2021 and led to the formulation of research model criteria. In order to achieve this goal, the influencing factors and effective indicators on the model of managed care for emerging respiratory infectious diseases were identified based on the content analysis technique. At that point, these factors and indicators were categorized. The collected data were analyzed by thematic analysis with the help of MAXQDA. Twelve people among the effective people in the management of this disease were analyzed in the collected data using statistical tests of generalized linear models, Hetling's t-test and Bon Feroni's post-test.

Results: The results of the present research identified five main categories which were: financial provision, provision of resources, servicing and equipping, information and research and government agents. According to the output of ISM calculations, the variable of information and research (C4) and government factors (C5) were the first level. To determine the elements of the second level, the variables of the first level were removed and once again the set of inputs and outputs were calculated without considering the variables of the first level. Based on the common set of identification and variables whose commonality was equal to the set of inputs, they were selected as second level variables. According to the output of ISM calculations, the variables of financial provision (C1) and resource provision (C2) were the second level.

Conclusion: Medical centers can be highly prepared to deal with the crisis by adding capacities and standards. Due to the fact that these emerging respiratory infectious diseases have become a threat to the entire population of the world, it requires timely, appropriate and cost-effective policies and measures to control and reduce its deadly consequences. Corona virus crisis management planning requires strategy, policy and correct action.

Keywords: Managed care model, Emerging respiratory infectious diseases, Iranian health system, COVID-19.

Full-Text [PDF 656 kb] (74 Downloads)

Type of Study: Research | Subject: Health Management
Received: 2023/08/9 | Accepted: 2024/01/20 | Published: 2024/03/16

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Nazari H, Ostavar R, Soltani H. Evaluation the Strategies for Explaining the Managed Care Model for Emerging Respiratory Infectious Diseases(COVID-19) in Iran's Health System. armaghanj 2024; 29 (2) :312-327
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