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Showing 3 results for Khajeh
Assessment of Differential Diagnosis of Bacterial Meningitis from other Types of Meningitis Using Fuzzy Logic and Neural Networks
Mostafa Langarizadeh, Esmat Khajehpour, Rahele Salari, Hassan Khajehpour,
Volume 10, Issue 5 (1-2017)
Abstract

Background and Aim: Bacterial meningitis detection is a complicated problem because of having several components in order to be diagnosed and distinguished from other types of meningitis. Fuzzy logic and neural network, frequently used in expert systems, are able to distinguish such diseases. The purpose of this paper is to compare Fuzzy logic and artificial neural networks for distinguishing bacterial meningitis from other types of meningitis.
Materials and Methods: In this study to detect and distinguish bacterial meningitis from other types of meningitis, in the first step 6 attributes were selected by infectious disease specialists. In the second step, systems were designed by Matlab software. The systems were evaluated by 26 records of meningitis patients, and results were analyzed by SPSS software.
Results: The evaluation showed that the accuracy, specificity and sensitivity of fuzzy method were 88%, 92% and 100% respectively and those of neural network methods were 92%, 94% and 88% respectively. The Kappa test result in fuzzy and neural network methods were 0.83 (p<0.001) and 0.83 (p<0.001). The areas under the ROC curves were 0.94 and 0.91 respectively.
Conclusion: The sensitivity, the Kappa test results and the areas under the ROC curve of the fuzzy logic method were better than neural network method. However the fuzzy logic method is more reliable to distinguish bacterial meningitis from other type of Meningitis, the evaluation result were obtained from 26 records of meningitis patient which were hospitalized in the same center leads to the study be still open.


Comparison of the Effect of Preoperative Skin Prepartion with Povidone-Iodine and Chlorhexidine-Gluconate on Surgical Site Infection in Laparotomy Patients
Fardin Amiri, Arash Khajehvand, Sedigheh Hannani, Nemamali Azadi,
Volume 16, Issue 5 (Dec 2022)
Abstract
Background and Aim: Surgical site infection (SSI) is one of the most common health-care associated infections. Using proper antiseptic solutions for preoperative surgical site skin preparation (skin prep) is one of the methods to reduce SSIs. The purpose of this study was to compare the effect of preoperative surgical site skin preparation with povidone-iodine and chlorhexidine-gluconate on the rate of SSI in laparotomy patients.
Materials and Methods: A total of 70 Laparotomy surgery patients who referred to Firoozgar hospital in Tehran from May to September of 2021 were included in this clinical trial. Patients were randomly allocated into two groups which were treated with povidone-iodine(PVI) or chlorhexidine-gluconate (CHG) for surgical site skin prep. Skin prep was done with standard rotational method in two steps by the researcher for each group by using of PVI and CHG. SSI incidence was assessed by a researcher-made check list and also over post-surgical follow up visits by the surgeon. We used Fischer’s exact test, t-test, Chi-square and Cochrane’s Q-test to analyze the collected data.
Results: SSI was seen in five patients (14.29%) of PVI group and one patient (2.86%) of CHG group. Although the SSI incidence in PVI group was 5.54 times more than CHG group, still the difference wasn’t statistically significant (P=0.198). Comparing the incidence of SSI’s in 24 hours after surgery (0%) and 30 days after surgery (8.57%) in both groups revealed that using these antiseptics for skin prep was effective in preventing SSI (P<0.001). SSI incidence was also associated with two days of patient’s hospital admission time (P=0.001).
Conclusion: The result of this study revealed that the occurrence of SSI in PVI group was 5.54 times more than CHG group. However, the difference was not statistically significant. So both of these antiseptics can be used for surgical site skin prep.
 

Survey of Electronic Health Literacy among Adults Over 18 Years Old in Kerman City
Sadrieh Hajesmaeel-Gohari, Elahe Imani, Zahra Khajeh, Mahkameh Mehdipour,
Volume 20, Issue 1 (4-2026)
Abstract
Background and Aim: Electronic health literacy (eHealth literacy) refers to the ability to search, comprehend, and effectively apply health-related information obtained from digital sources, thereby enabling individuals to make informed decisions regarding their health. In the context of increasing reliance on the internet and online health resources, this skill has become essential for personal and public health. The aim of this study was to evaluate the level of eHealth literacy among adults aged 18 years and older in the city of Kerman, Iran.
Materials and Methods: This cross-sectional, descriptive-analytical study assessed eHealth literacy among 700 adults (≥18 years) in Kerman City. Participants were sampled from different city areas to ensure representativeness. Data were collected using the validated 8-item eHealth Literacy Scale (eHEALS) on a 5-point Likert scale (total score 8–40; higher scores indicate greater literacy). Analyses were performed in SPSS using descriptive statistics (frequency, mean, SD) and inferential tests (Mann–Whitney U and Kruskal–Wallis) to explore associations with demographic variables.
Results: The mean eHealth literacy score was 26.26±6.80, reflecting a moderate level of proficiency. While over half of the participants reported being capable of searching for and utilizing online health resources, less than half possessed the skills required to critically evaluate the quality of such information. The Mann-Whitney U test revealed a significant relationship between gender and eHealth literacy (P=0.002), with women scoring significantly higher than men. Furthermore, the Kruskal–Wallis test demonstrated statistically significant associations between eHealth literacy and age (P<0.001), level of education (P=0.001), employment status (P=0.001), and economic status (P<0.001). So that, higher scores were observed among younger adults (18–40 years), individuals with university education, students, and those with a higher economic status.
Conclusion:  The study indicates a moderate level of eHealth literacy among the population, with significant gaps in the ability to evaluate credible sources and use health information confidently. To address these gaps, policymakers should implement infrastructure improvements and public education programs that enhance access to reliable resources, foster critical appraisal skills, and support informed health decision-making.

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