Zh Agharezaei , Sh Tofighi Sh, A Nemati , L Aagharezaei , K Bahaadinbeigi ,
Volume 12, Issue 2 (9-2013)
Abstract
Background: This research aims to design and implement a software with the ability to identify patients who are facing the risk of pulmonary embolism and deep venous thrombosis instantly as well as the ability to send timely reminders for any prophylactic action. The main target is introduce a clinical decision- support system which could finally lead to preventing mortality and handicap cases caused by embolism and thromboses in patients who are confined to bed in hospitals. Materials and Methods: The software was designed using the Visual Basic.Net and SQL Server database. Afterwards the software was installed in the largest educational hospital of Kerman and a survey was conducted amongst the physicians using multiple questionnaires and interviews. Finally, the data were analyzed using the SPSS software. Results: The average score was 21.16 for the physicians and 20.76 for the nurses. T-Test results show that there is no significant difference between the total average score of the physicians and that of the nurses. Conclusion: The results have shown that both groups (physicians and nurses) have a positive viewpoint about the software therefore using the clinical decision support system can be effective in reducing the occurrence of pulmonary embolism and deep venous thrombosis through sending timely electronic alerts to the medical staff.
Asgar Aghaei Hashjin, Ali Nemati, Seyed Mohammad Tabatabaee Jabali, Pouria Farrokhi,
Volume 22, Issue 4 (1-2024)
Abstract
Background and purpose: Iran is ranked among the top ten nations in the world for hosting a large number of migrants and refugees. During the COVID-19 outbreak, refugees and migrants were among the most vulnerable groups. This study aimed to investigate the extent of healthcare service utilization by refugees and migrants during the COVID-19 pandemic in healthcare centers affiliated with Iran University of Medical Sciences
Methods: This quasi-experimental study was conducted in 2021 in Tehran. The research environment included all healthcare networks and general and specialized hospitals. Data were collected through document review and registered information in the Sina system. All provided services were categorized into four groups: primary care, outpatient, emergency, and inpatient services. Data analysis was performed using the Chow test and Interrupted Time Series model with the Wats and Sctest software packages in R version 4.3.0.
Results: The decrease in utilization of outpatient, emergency, and inpatient services by refugees and migrants was significant (P-value < 0.001), whereas the decrease in primary care services was not significant. Additionally, after the onset of COVID-19, only the utilization of inpatient services showed a significant increasing trend (P-value < 0.013).
Conclusion: During the COVID-19 pandemic, the utilization of all healthcare services by refugees and migrants, including primary, outpatient, emergency, and inpatient care, decreased. It is recommended to provide complete insurance coverage for refugees, offer free treatment for impoverished refugees, increase awareness among refugees to encourage greater use of health services, reduce existing social and economic barriers, and facilitate interaction between healthcare providers and refugees.
