Showing 3 results for Taghavi
N Zia Sheikholeslami , M Rezaeian, M Bahsoun , M Taghavipoor ,
Volume 5, Issue 4 (11 2010)
Abstract
Background & Objectives: Medical Tourism has been recently paid more attention. Individual practitioners and medical organizations must be able to provide accurate information about this rapidly evolving trend. Since there has been little known about this issue, we decided to assess the knowledge about and attitude towards medical tourism in Rafsanjan, Iran.
Methods: A questionnaire including XXX questions were completed by Rafsanjan Medical University staff. All information was analyzed by SPSS software.
Results: Only 8.3% of individuals sated that they studied some articles about Medical Tourism, and only 14.7% of them had deal with these kinds of patients. The majority of participants (80.7%) hadn’t had any idea about the quality of medical expenses by Medical Tourists. Mainly (68.7%) believed that development of Medical Tourism in Iran would not have any bad social consequences and 62% believed that its development in Iran could improve the knowledge of Iranian doctors. The majority (67.3%) agreed to arrange for inviting tourism to Iran in order to use of Medical Tourists and 54.3 of them believed that development of Medical Tourism could improve treatment of Iranian patients.
Conclusions: The knowledge of participants seems is very low therefore appropriate educational programs should be tailored by responsible organizations in Iran. However medical staff’s attitude towards medical Tourism seems is very positive which indicates having necessary potential for any activity in this regard in future.
A Maghzi Najafabadi , A Hajizadeh, Sm Taghavi Shahri , Y Hajizadeh, B Mahaki,
Volume 14, Issue 2 (Vol.14, No.2, 2018)
Abstract
Background and Objectives: Annually about 7 million premature deaths occur due to air pollution in the world. Nitrogen oxides are among major air pollutants. Although many foreign exposure assessment studies have been carried out, Iranian studies are limited to primary analyses. Hence, in this research, we studied spatial variation of nitrogen oxides using spatiotemporal modeling in Tehran 2014.
Methods: The concentration of nitrogen oxides was obtained from 21 air pollution monitoring stations in Tehran. There were 8760 records for each pollutant in each station. Holidays and land elevation were the predictors implemented in the spatiotemporal model. The D-STEM software was used for analyses and mapping.
Results: Nitrogen monoxide significantly decreased (P<0.001) over holidays and with an increase in land elevation (coefficient: -0.070 and -0.169, respectively). Moreover, the concentration of nitrogen dioxides decreased in holidays (coefficient: -0.630) but increased with with an increase in land elevation (coefficient: 0.155) (P<0.001).
Conclusion: Spatiotemporal exposure assessment of nitrogen oxide pollutants was done for residents of Tehran for the first time in this study. The results of this study, which are estimation maps for daily nitrogen oxides, could benefit future epidemiological studies in evaluation of the effect of air pollutions on health of Tehran citizens.
Sa Hashemi, K Holakoui-Naeini, Ma Mansournia, R Akrami, M Nomali, T Valadbeigi, V Mennati, Ha Adineh, Mr Taghavi, M Ghafouri, S Poorbarat, A Hoseinzadeh, M Farahdel, Mr Armat, M Haresabadi,
Volume 17, Issue 3 (Vol 17,No.3, Atumn 2021 2021)
Abstract
Background and Objectives: COVID-19 is a new disease and little information is available on its risk factors. The aim of this study was to determine the mortality risk factors in patients with COVID-19 in the northeast of Iran.
Materials and Methods: A case-control study was conducted. Patients of both sexes with a confirmed diagnosis of Covid-19 infection who died during the study were studied as the case group and patients who were in good general health and ready for discharge were studied as the control group. Data analysis was performed with the STATA software version 14 using descriptive statistics and univariate and multiple logistic regression tests.
Results: Six hundred and eleven patients were studied (27% cases and 73% controls). Multiple logistic regression analysis showed that the odds of death were 2.8 times higher in patients over 80 years compared to patients aged 50-60 years. In addition, age under 40 years reduced the odds of mortality by 85% and living in rural areas increased odds of death by 2.2 times. Cough, general fatigue, pain, nausea and vomiting increased the odds of COVID19 survival.
Conclusion: The odds of mortality were higher in elder patients with COVID-19. In addition, living in rural areas increased the odds of mortality in patients. Cough and fatigue reduced mortality; however, it is needed to address other hidden factors for sound judgment.
