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Showing 4 results for Epi
Status of Coverage of Dtp3 Vaccine and Related Factors, in children 12-24 months old in Tehran
S Dabiran, Ma Abbasi Moghadam,
Volume 5, Issue 2 (9-2011)
Abstract

Background and Aim: Vaccination is one of the most important primary prevention and preventing the spread of infectious diseases. DTP3 is commonly used as a criteria for the availability of health services. The purpose of this study was determining vaccination coverage of DTP3 and factors influencing it.

Materials and Methods: One thounsed and four hundred fiftey eight children (12-24 month old) from 17th district of Tehran were enrolled in this cross sectional study. In this study, vaccination status of the DTP3 vaccination schedule according to the demographic variables was determined. Information was collected by a questionnaire referring to children's vaccination card. Sampling method was cluster sampling and included 146 clusters with 10 children in every cluster. Data collected were analyzed using spssv13 software and chi-square and t tests.

Results: In this study, 744 girls and 714 boys participated. 1241 patients, (85.1%) cases received their vaccines at the right time. 190 patients (13%) cases had not received the vaccine at the proper time, and 27 patients (1.9 %) were not vaccinated. Between vaccine status and mother's education (p=0.003), father's education (p=0.012), family income (p=0.003), number of children in the family (p=0.006), birth order (p=0.007), and status of family's medical record in the health center (active - inactive)(p=0.002), significant difference was observed.

Conclusion: Although vaccination coverage rate of DTP3 was 98%, more than 13% of cases, did not receive the vaccine at the right time and this constitutes to childhood illness. More research is needed to identify factors influencing no vaccination at the right time.


The Synergism Effect Of Cefepime And Vancomycin Against Coagulse Positive And Negative Methiciline Resistant Staphylococci
Hossein Dargahi, Seyed Asghar Mir Emadi, Shahnam Sedigh Maroufi, Hamid Choobine, Cyrus Azimi, Mohammad Kazem Sharifi Yazdi,
Volume 6, Issue 2 (7-2012)
Abstract

Background and Aim: Although vancomycine is used for the treatment of methicillin resistant Staphylococci, but vancomycine alone might not be effective for the treatment of methicillin resistant Staphylococci in compromised host. In the same time antimicrobial activity of cefepim on gram positive bacteria especially Staphylococci is well known. In this study the synergism effect of cefepim and vavcomycin on positive and negative coagulase Staphylococci in vitro condition was investigated.

Materials and Methods: In total, 100 clinical samples of coagulase positive and negative Staphylococci were isolated from urine and blood samples from patients in Imam Khomeini Hospital during one year and identified .The modified Bauer-Kirby were used for the antibiotic susceptibility and macrodilution method for the MIC according to NCCLS procedure.

Results: The results showed that after adding vancomycin to cefepime in concentration from 0.05+ 0.5 , to 0.8+8 , growth reduction reached from 3.5% to 100%.The synergism effect of the two mentioned antibiotics on coagulase negative Staphylococci resistant to methicillin were shown that from concentration of 0.05+ 0.5 to 0.8+8 , a reduction in growth from 4.5% to 100% was observed.

Conclusion: The results of this study showed that vancomycin and cefepime has synergic effect on Staphylococci


Decision Modeling for Diagnosis and Screening of Ovarian Epithelial Cancer
Reza Safdari, Leila Shahmoradi, Marjan Daneshvar, Elmira Pourtorkan, Mersa Gholamzadeh,
Volume 12, Issue 1 (5-2018)
Abstract
Background and Aim: The Ovarian epithelial cancer is one of the most deadly types of cancers in women.Thus, the purpose of this study was to investigate the most effective factors in predicting and detecting Ovarian cancer in the form of a decision tree to facilitate the Ovarian cancer diagnosis.
Materials and Methods: The present study was a descriptive-developmental study. The main research tool applied in this study was a checklist which was designed based on the medical records, published studies, scientific references, and expert consultation.To determine the content validity of the checklist, the CVR method was applied. Next, survey research was done with aid of Likert-based checklist based on expert opinions in gynecology. Finally, to develop the decision tree, the results of the expert survey were analyzed and the final model was implemented based on the survey results.
Results: The data elements of final decision tree were derived from the result of expert surveys, guidelines, clinical pathways and strategies in context of diagnosis and screening of Ovarian cancer. The leaf nodes in the tree include different types of tumor markers, following up, therapeutic measures, and referrals. The accuracy of the decision tree was approved by the experts. The most important tumor markers that obtained from the decision model in this study were CA19-9, ROMA (CA125 + HE4) and CEA.
Conclusion: Clinical decision models can provide specific diagnosis and therapeutic suggestions by creating patient information integration framework. The model developed in this study can improve the diagnosis of epithelial Ovarian cancer considerably by facilitating decision making.

Epidemiology of Trauma Caused by Traffic Accidents in Patients Admitted to Imam Khomeini Hospital in Urmia During 2017-2022
Rasul Bidel Nikoo, Shila Hasanzadeh, Mohamad Jebraeily, Naser Masoudi, Bahlol Rahimi, Farshad Faghisolouk,
Volume 17, Issue 6 (2-2024)
Abstract
Background and Aim: Traffic accidents in Iran are one of the main causes of mortality and morbidity, identifying the factors related to these accidents can be useful in the prevention and proper management of traffic accidents. The purpose of this study was to determine the epidemiology of trauma caused by traffic accidents in Imam Khomeini hospital in Urmia during 2017-2022.
Materials and Methods: The current research is a cross-sectional descriptive study that was conducted on patients hospitalized due to traffic accidents in Imam Khomeini hospital in Urmia for five years. The required data included demographic characteristics and information of the injured (role of the injured, time of the accident, location of the accident, type of vehicle, damaged area, and condition of the injured during discharge), which was extracted from the trauma registration system of Urmia University of Medical Sciences. ​ After collecting the data, it was entered into SPSS 16 software and described through frequency distribution table and central and dispersion indices
Results: In this study, out of 2086 injured cases, 74.40% (1552 people) were male. The average age of the injured was 34.49 ± 18.47 years. The type of accidental vehicle of most of the injured was motorcycle with 56.70% (998 cases). The most injured were drivers with 52.73% (1100 cases) and among them 57.45% (632 people) were motorcycle riders. 34.08% (711 cases) of injuries to body parts were in the head, neck and face.
Conclusion: The results of this research showed that most of the injured in traffic accidents are young motorcycle drivers and the most injuries were related to the head and neck area. Therefore, by knowing the risk factors and the impact of each of them on the outcome of traffic accidents, it is necessary to carry out appropriate interventions to prevent the risky behaviors of young drivers and create a culture of observing safety tips. Also, in the health system, the necessary preparations in terms of manpower and medical equipment should be made to manage the treatment of injuries caused by traffic accidents.
 
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