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The pattern of health insurance economic resilience in the Covid 19 pandemic shock.
Kharazmi, Erfan; Bordbar, Shima; Gholampoor, Hanie.
  • Kharazmi E; Health Human Resources Research Center, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Qasr Al-Dasht St., Alley 29, Between Palestine St. and Mulla Sadra, Diamond Building, 7133654361, Shiraz, Iran. ekharazmi@sums.ac.ir.
  • Bordbar S; Health Human Resources Research Center, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Qasr Al-Dasht St., Alley 29, Between Palestine St. and Mulla Sadra, Diamond Building, 7133654361, Shiraz, Iran.
  • Gholampoor H; Health Economic, Tehran University of Medical Sciences, Tehran, Iran.
BMC Res Notes ; 14(1): 371, 2021 Sep 23.
Article in English | MEDLINE | ID: covidwho-1438305
ABSTRACT

OBJECTIVE:

Health insurance is based on people's significant risks in receiving health services that they cannot afford alone. Since the outbreak of the corona epidemic, the health insurance system has suffered many economic problems. Designing a model of a health insurance system based on the requirements of a resilient economy can improve the functions of this system in the corona crisis.

RESULTS:

In this research 12, structural components were obtained in the form of 4 conceptual components. The 4 main conceptual components are Knowledge-based economy, Economic stability, Economic resilience, and justice. The knowledge-based economy is the basis for the formation of economic resilience in the health insurance systems. Health insurance systems will achieve two crucial intermediate results, namely economic resilience, and economic stability, by building the basic infrastructure of a knowledge-based economy. In the long run, maintaining such intermediate results is the foundation of justice in the health insurance system.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: BMC Res Notes Year: 2021 Document Type: Article Affiliation country: S13104-021-05779-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: BMC Res Notes Year: 2021 Document Type: Article Affiliation country: S13104-021-05779-2