Caspian Journal of Internal Medicine
1
Caspian J Intern Med
Medical Sciences
http://caspjim.com
1
admin
2008-6164
2008-6172
8
10.22088/cjim
14
8888
13
en
jalali
1399
8
1
gregorian
2020
11
1
11
Covid 19 Supplement 1
online
1
fulltext
en
Preventing the frequency of infectious diseases in vulnerable groups - by anticipating the role of actors in implementing the decision-making model in conditions of uncertainty pandemic experience Covid-19
Health
Health
Original Article
Original Article
<div style="text-align: justify;"><span style="font-size:14px;"><span style="font-family:Times New Roman;"><span style="color:#0000ff;"><em><strong>Background:</strong></em></span> The purpose of this study is to prevent the prevalence of infectious diseases in vulnerable groups by anticipating the role of actors in implementing decision-making models in conditions of uncertainty in medical universities.<br>
<span style="color:#0000ff;"><em><strong>Methods:</strong></em></span> This research is an applied research by combining qualitative and quantitative methods based on the foundation data theory (Grand Theory). To determine the dimensions of the model, the statistical population included crisis management managers and faculty members of Mazandaran University of Medical Sciences. The data collection has been done through targeted sampling and interviews, semi-structured interviews, analysis method, and coding method. The statistical population to present the model include senior and middle managers of Mazandaran University of Medical Sciences. The simple random sampling method based on the sample size was determined by Cochran's method, and the collected date from the researcher's questionnaire was analyzed through nonparametric statistical experiments, Kolmogorov test Smirnov, SPSS SMARTPLS, Excel and the method of modeling structural equations with the least squares approach has been partial.<br>
<span style="color:#0000ff;"><em><strong>Results:</strong></em></span> The path coefficient of each dimension in explaining the decision model in uncertainty conditions based on T statistic and p value and SRMR value was 0.137, which was a good value and the main actors in implementing the model were policymakers, managers and staff.<br>
<span style="color:#0000ff;"><em><strong>Conclusion:</strong></em></span> The implementation of this model will lead to a change in the decisions made by health system authorities in conditions of uncertainty, and will increase the ability of managers of medical universities and the resilience of the health system.</span></span></div>
Covid-19, Decision making Model, Uncertainty, Grand Theory, University of Medical Sciences, vulnerable groups
501
511
http://caspjim.com/browse.php?a_code=A-10-1563-2&slc_lang=en&sid=1
Mitra
Hashemi Amree
m.h.baran@gmail.com
100319475328460026193
100319475328460026193
Yes
Department of Educational Management, Sari Branch, Islamic Azad University, Sari, Iran
Taraneh
Enayati
tenayati@yahoo.com
100319475328460026194
100319475328460026194
No
Department of Educational Management, Sari Branch, Islamic Azad University, Sari, Iran
Mohammad
Salehi
drsalehi.ya@gmail.com
100319475328460026195
100319475328460026195
No
Department of Educational Management, Sari Branch, Islamic Azad University, Sari, Iran