Introduction: Inter-hospital transport constitutes one of the important parts of the emergency system in every country.
Materials and methods: To determine the outcome of requested CCU beds from the medical emergency headquarters in year 2000 by the hospitals affiliated to Tehran university of medical sciences, we have reviewed retrospectively 2688 clinical files of patients for whom a request for an empty CCU bed in other hospitals had been sent to the medical emergency headquarters. The main measure was the success rate of being admitted to CCU in other hospitals.
Results: On the whole 68.5 percent of requests were followed by a CCU admission to other hospitals. Using logistic regression method, variables including season of the year, shift diagnosis of the patient and the original hospital were shown to be related with the success rate. Conclusion: Increasing the number of available CCU beds and providing the centers with the necessary equipment is of high priority in hospitals located in city of Tehran.
Background: There is a concern by some doctors that not interrupting the patients' initial statements of concerns can lead to too long medical visits. Therefore, in this study, the duration of the patients' initial statements of concerns was studied. Methods: This descriptive cross sectional study was conducted from August to October, 2011 in the Emergency Department of Imam Khomeini Hospital in Tehran. 100 patients entered the study through convenience sampling. Based on a 5 level triage system Emergency Severity Index (ESI), patients who were not life-threatening conditions (level 5) entered the study and critically ill patients and foreign patients were excluded from the study. Demographic data of the patients and durations the patients' initial statements of concerns were recorded and measured. Results: Fifty-six percent of patients were men. 79 percent of them had academic degree less than diploma and most of them have Persian ethnicity (60 percent). The mean age of the participants was 37.09 (SD, 1.68). The mean durations of patients' initial statements was 71.60±2.37 seconds. The minimum time was 22.51 seconds and the maximum time was 206.51 seconds. There was significant difference between age (P=0.001, r=0.382) and gender (P=0.032, df=98, t= -2.17) with the durations of patients' initial statements. But education level (P=0.996, F (2, 97)=0.004) and ethnicity (P=0.266, F (6, 93)=1.3) did not have a significant effect on the durations of patients' initial statements. Conclusion: According to the findings of this study, duration of patients' initial statements of concerns is less than what which leads to an increase the time of medical visits.
Results: The median hospitalization time until patients' recovery was seven days. Out of the 578 participants, 386 cases (66.8%) recovered, while the remaining 190 cases (33.2%) were censored (83 individuals had died during the study, and 107 individuals had exited the hospital for other reasons). The average age of patients at the time of hospitalization was 71.13±13.01 years. Statistical analysis employing Log-rank and Breslow tests identified a significant difference in hospitalization duration among patients receiving various levels of care and based on their insurance status. During multivariate analysis, the Cox regression model was considered unsuitable due to some variables not meeting the proportional hazards assumption, leading to the utilization of AFT models. Following the evaluation of AFT models, including Log-normal, Log-logistic, Exponential, and Weibull, the log-normal model emerged as the most suitable choice, exhibiting AIC and BIC values of 1273.909 and 1356.740, respectively. Significant variables influencing length of stay included patient admission priority, insurance status, season, and residency status.
Conclusion: The study suggests that parametric survival models are effective for analyzing lifetime data. Additionally, in light of the significant variables identified, enhancing facility readiness and resource allocation could facilitate more efficient planning and implementation. |
Methods: This descriptive-analytical study was carried out cross-sectionally from March 21, 2019 to March 19, 2020, using a simple random sampling method in patients referred to the emergency department of Imam Khomeini Hospital in Urmia. Which was used to collect information from the demographic information checklist and the EDWIN index was calculated. Then the information was entered into SPSS18 software and analyzed with the help of descriptive and analytical statistics.
Results: In this study, the results showed that in terms of the frequency of triage level, 5.4% was level one, 65.6% was level two, 26.3% was level three, 2.7% was level four and there was no disease in level five. In terms of shift, 22.5% visited the hospital in the morning shift, 27.6% in the evening shift and 49.9% in the night shift. The average EDWIN index was 2.7±0.75 on holidays and 5.9±4.6 on non-holiday days. Although emergency room congestion was more on non-holiday days, this difference was not statistically significant (P=0.15). Also, the average of EDWIN in the morning shift was 2.5±2.3, in the evening shift it was 0.71±2.16 and in the night shift it was 9.7±5.8 and even though the average of EDWIN in the night shift was higher than in the evening and night shifts, this difference was not statistically significant (P=0.06). Conclusion: The results of the present study indicated that on most of the investigated days, the emergency room was evaluated as crowded based on the EDWIN criteria. Also, there is no significant difference between the busyness of the emergency room according to the holiday or working day, as well as the morning, evening and night shift. |
Results: In this study, the results showed that out of 1901 studied patients, 1101(57.9) were male and the rest were female 801(42.1), And the average age of the patients was 61.67±17.13 years, and 1160(60.9) patients did not have drug interactions and 724(39.01) had drug interactions, and the most common type of drug interaction was the moderate type, which was present in 75.1% of cases; And the final clinical outcome of the patients was 1088(57.2) discharge, 296(15.5) personal consent discharge and 506(26.6) death. Also, the most common drug interactions were serotide/salbutamol, azithromycin/ondansetron, and aspirin/nitroglycerin, respectively. And there was no significant relationship between the occurrence of drug interactions and the gender of patients (P=0.27) and finally, the average age of patients with drug interactions was 17.7±61.2 years and in patients without drug interactions was 16.7±61.9 years. Conclusion: The overall incidence of drug interactions in the studied patients was equal to 39.01, and the most common drug interactions in patients were of moderate and mild type; and there was no statistically significant relationship between the age of the patients and the gender of the patients and the incidence of drug interactions.
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