Showing 16 results for Jafari
Ma Abbasimoghadam, S Dabiran, R Safdari, K Jafarian,
Volume 1, Issue 2 (20 2008)
Abstract
Background and Aim: Aging is a physiological process that is an unavoidable property of life. Decline in some dimensions of aging such as activity, income, health care and changes in life style are associated with increased risk of physical and mental health disorders. The aim of this study was to investigate the association between living areas and the demographic characteristics of elderly people in Tehran.
Materials and Methods: A cross - sectional / analytical study was conducted. The sample was consisted of 5600 elderly people and data was collected by using a questionnaire All analyses were undertaken using SPSS (Version 11.5).
Results: The results of this study showed that more 50% of subjects were illiterate and 30.5% of the were in schooling level. 62% of them reported at least one disease. We found significant differences between residences of north and south regions of Tehran for many of investigated variables.
Conclusion: These findings indicated that we need to pay more attention to elderly status specially those who are living in southern region.
As Gharamaleki, A Ahmadi, F Faraji Khiavi, Sh Arpanahi Istadegi, K Jafarian,
Volume 5, Issue 1 (26 2011)
Abstract
Background and Aim: Adverse events in hospitals are found to be a major problem of all health systems in the world. In fact, drug interaction side effects are now the fourth leading cause of death in the U.S. The aim of the current study was to identify the opinions of clinicians working in Shariati and Emam hospitals towards the use of computer applications for detecting drug-food interactions.
Materials and Methods: Ninety clinicians including physicians, pharmacists and nurses were selected randomly in the current descriptive- analytical study. The opinions of clinicians toward using computer application systems for detecting drug-food interactions were assessed by a questionnaire. The questionnaire's validity and repeatability was examined in a pilot study. Cronbach's alpha was 0.85 which indicated an acceptable level of repeatability of the questionnaire. The questionnaire was distributed among the academic staffs in order to determine its validity.
Results: 95.4% of clinicians had positive attitudes towards the requirement of computer application to detect drug-food interactions. Around 94% of them showed their willingness towards using the computer application systems. Therefore, use of computer application seems to be necessary in health system.
Conclusions: The collection and analysis of data encourages further investments in computerized system to prevent drug-food interaction. Such built-in warning systems in hospitals alert doctors to drug-food interaction and improvement in patient care. Screening each patient's medication plan for drug-food interactions can reduce medical error and improve the quality of health care
Nader Khalesi, Lida Shams, Somaye Yegane, Ebrahim Jafari Pooyan, Taha Nasiri , Narges Roustai , Tayebe Moradi,
Volume 6, Issue 6 (17 2013)
Abstract
Background and Aim: Focus on organizational health could ensure the future success of any organization. Considering the fast changing conditions of hospitals and the necessity of effectiveness, employees are required who can show voluntary behavior towards the organization and customers. Therefore, this study mainly aims to survey the relationship between organizational health and organizational citizenship behavior in selected hospitals of Tehran University of Medical Sciences(TUMS).
Materials and Methods: This cross-sectional, descriptive-analytic study was conducted in 2010. The population of the study comprised the entire staff of TUMS selected hospitals. In total, 312 employees were selected. The researchers gathered their data using questionnaires of organizational health and organizational citizenship behavior. For data analysis, both descriptive statistics(percentage, mean, standard deviation and variance) and inferential statistics(Pearson correlation and regression) were applied. The data were analyzed using SPSS18 software.
Results: The correlation between the organizational health and five dimensions of organizational citizenship behavior(Conscientiousness, Altruism, Helping Behavior, Civil Virtue, Sportsmanship, and Courtesy) was significant(p = 0/0001).
Conclusion: Given this significant correlation between organizational health and organizational citizenship behavior, organizations can make improvements in employees' behavior. This can be achieved by creating harmony among members and through continuous improvement and growth.
Masoud Abolhallaj, Peivand Bastani, Maryam Ramezanian, Javad Jafari,
Volume 6, Issue 6 (17 2013)
Abstract
Background and Aim: Financial reforms in the healthcare system go back to 1384. This study aims to analyze and summarize the most important strengths of implementing the first phase of the reform in units affiliated with the Ministry of Health and Medical Education from the experts' point of view at middle and operational levels.
Materials and Methods: In this qualitative research study, 15 coaches of the new financial health management reform along with 8 financial managers of Medical Universities were selected purposefully to participate in expert panels to be interviewed. Data were saturated following the interviews. The data analysis process was conducted applying Kruger method with one of the researchers having no conflicts of interest with the topic.
Results: Human resources enabling, effective trainings, integrated information system, dynamic culture, structural appropriateness, efficiency and effectiveness, and perfect facilities were the seven themes extracted from the content analysis of the interviews each theme was further divided into some sub-themes.
Conclusion: Recognition of the strengths of the first phase of health system's financial management reform may help bring about the possibility of more correct and exact planning to direct these changes and maintain the achievements as well as designing a long-term horizon and determining an ideal vision for the next phases of the reform.
Arezoo Rasti, Mehrnaz Geranmayeh , Hamid Reza Shah Mohammadi , Reza Golam Nejad Jafari , Fatemeh Niazi , Samaneh Shabani , Roya Sharifian , Yousef Erfani ,
Volume 7, Issue 5 (1-2014)
Abstract
Background and Aim: Early diagnosis of pregnancy is very important to prevent fetal damage due to specific drug consumption and high-risk behaviors. The objective of this study was to compare the sensitivity and specificity of quantitative agglutination pregnancy tests in urine and rapid β hCG immunoenzymatic assay test in serum as a gold standard.
Materials and Methods: This cross-sectional study was performed among 390 women who referred to healthcare centers where their urine samples were tested with latex agglutination (direct agglutination and agglutination inhibition) and the results were compared with rapid β hCG immunoenzymatic assay test in serum as a gold standard.
Results: The sensitivity of direct agglutination (82.05 % ) was more than that of agglutination inhibition (81.2 % ), but the specificity of the tests were equal (99.27 % ). The agreement coefficients between direct agglutination and agglutination inhibition on the one hand and rapid β HCG immunoenzymatic assay on the other were 0.859 and 0.853, respectively.
Conclusion : The possibility of negative results in direct agglutination is more than that of agglutination inhibition, but the specificity of both qualitative tests is equal. Besides, both tests may have an equal possibility of false positive results. Since the occurrence of false negative results in qualitative tests is higher than that in serum gold standard, the negative results of such tests should be confirmed with more sensitive methods such as rapid β hCG immunoenzymatic assay.
Amir Ashkan Nasiripour, Pouran Raeissi, Farhad Ghaffari, Mohhamadreza Maleki, Mehrnush Jafari,
Volume 8, Issue 1 (5-2014)
Abstract
Background and Aim: Healthcare processes have caused many dangers to patients, and the
increase of medical errors is one of the most important consequences of such
processes. The present research is conducted to reduce medical errors through
presenting a model to control them.
Materials and Methods: In this mixed
(quantitative-qualitative) research, a conceptual model was assembled. Then
using the model and an interview, a questionnaire was made. The
interview and the researcher-made questionnaire were used to collect data.
The statistical population included the related people and the practitioners
involved in medical errors in Tehran University
of medical Sciences (TUMS)
hospitals. The sample consisted of 252 employees who were non-randomly selected
from those hospitals. Once the affecting factors were determined, the data were analyzed through factor analysis technique. The
gathered data were analyzed using descriptive and inferential statistics. Finally, the research model was
presented.
Results: The selected
individuals pointed out 9 factors controlling the medical
errors: culture, factors associated with patients, factors
related to providers, factors associated with errors,
structural factors, role of disclosure, error registration, individual factors
related to reporting, and organizational factors related to reporting. The 9
factors are the subdivisions of three main factors which account for 57/46% of the total variance of data. The
most decisive power is related to disclosure 0.737
and the least (0.053) pertains to structure.
Conclusion: Discloser of medical errors and their registration are factors which are
effective and essential in controlling medical errors in TUMS hospitals.
Mahmoud Keyvanara, Saeed Karimi , Elahe Khorasani, Marzie Jafarian Jazi ,
Volume 8, Issue 4 (11-2014)
Abstract
Background and Aim: The hypothesis of supplier induced demand has attracted a lot of attention over the past three decades. Most studies in this field agree that healthcare providers have the ability to influence the demand for their products. The purpose of this study is to evaluate the role of institutions in the phenomenon of induced demand. This study has been done using experts' experiences in Isfahan University of Medical Sciences.
Materials and Methods: This is a qualitative study in which the semi-structured interview was used for data generation. The participants were those informed in this regard and considered as experts. For data saturation, purposive sampling was done. In this study, 17 people were interviewed, and criteria such as reliability and stability were considered. The anonymity of the interviewees was guaranteed. The data were transcribed and categorized, and then analyzed using thematic analysis.
Results: In the present study, thematic analysis was conducted and 30 sub-themes and 2 main themes were extracted. The two main themes were healthcare insurance organizations and other health organizations. Each of the themes had its own sub-themes.
Conclusion: The findings help health policy-makers have a better picture regarding the role of various institutions in the phenomenon of induced demand.
Sanaz Gholamhosseini , Malek Alimohammadi Kamalabadi , Kurosh Djafarian,
Volume 9, Issue 4 (11-2015)
Abstract
Background and Aim: Considering the potential damages caused by inaccurate, inadequate and incomplete information published in web pages, the aim of this study was to evaluate Persian-language web pages containing nutritional information, using Silberg criteria.
Materials and Methods: Internet pages related to nutrition were found in “peyvandha.ir” and by searching 20 nutrition-related keywords in five search engines. The first fifty results of every keyword in every search engine were evaluated according to the inclusion criteria. From every website/weblog, three issues were randomly chosen. The Silberg checklist and the qualitative questionnaire were completed and the data were analyzed using SPSS software.
Results: In total, 56 websites /weblogs (47 websites and 9 weblogs) were found to have nutrition-related information. Among these websites/weblogs, 40 were active in the field of nutrition, 14 in health-related fields, and the rest in news, general information and cooking. Mean Silberg score (out of 9) was 2.3±1.9 for websites and 1.75±1.3 for weblogs. The highest score in this study was 8 (one website) and the lowest score was zero (13 websites/weblogs). In 82.5% of websites/weblogs, the sources used in compiling the articles were not mentioned and 64.9% of them lacked their authors’ names. Of all websites/weblogs, 94% didn’t have any disclaimer rejecting the responsibility for accuracy of the information.
Conclusion: Due to the poor quality of internet pages on the one hand and the importance of nutritional knowledge on the other, the development of reliable Persian-language web pages to improve public awareness of nutritional issues is necessary.
Amir Ashkan Nasiripour, Shirin Jafari,
Volume 10, Issue 4 (9-2016)
Abstract
Background and Aim: In health sector, improving quality of treatment services and patient safety are considered as vital. The objective of this study was to determine the relationship between the quality improvement and patient safety (QPS) and the hospital performance indicators.
Materials and Methods: In this descriptive analysis research, the statistical population included managers, matrons, one of the members of the quality improvement committee and one of the clinical governance office members of Shahid Beheshti University of Medical Science teaching hospitals (N=44). In order to evaluate QPS, data were gathered through questionnaire and the hospital performance indicator data were gathered through interview and observation. Also independent T test was used to determine the relationship between the quality improvement and patient safety and performance indicators.
Results: All five areas of (QPS) including leading and planning, designing clinical and managerial processes, collecting the data, analyzing the data and improvement were significant in QPS score and according to independent T-test, the relationship between (QPS) and bed occupancy percentage, average length of inpatient stay, bed turnover interval, bed turnover rate and gross death rate was significant (p-value<0/05).
Conclusion: Considering (QPS) standards can improve hospital performance indicators.
Khalil Ali Mohamadzadeh , Amene Darabi , Mehrnoosh Jafari ,
Volume 11, Issue 3 (9-2017)
Abstract
Background and Aim: Organizational agility is regarded an important factor for hospital effectiveness. Considering the necessity of hospital effectiveness, focus on organizational health can ensure the future success of an organization. This study mainly aims to determine the relationship between organizational agility and organizational health in hospitals affiliated to Shahid Beheshti University of Medical Sciences (SBMU).
Materials and Methods: This is an applied, descriptive-correlational research. The population of the study included all SBMU hospital employees. The 375 members of the sample were selected based on Morgan and Krejcie table. The sampling method was multistage. Data collection tool was the questionnaires of organizational agility and organizational health. The questionnaires were valid based on the expert’s judgment, and Cronbach's alpha reliability value of the questionnaires was 0.88. The data were analyzed by descriptive and inferential statistics (Pearson correlation, regression, and t-test), using SPSS software.
Results: The correlation between organizational agility and organizational health was positive and significant (r=0.66, P<0.05). A significant difference was observed between mean organizational agility and mean reference (-0.43, P<0.05) and also between mean organizational health and mean reference (-0.55, P<0.05).
Conclusion: Hospital managers need to work hard to promote organizational agility so that in addition to obtaining competitive advantage, they can improve organizational health by giving an appropriate and timely response to changes and taking advantage of the obtained opportunities.
Mohsen Rezaei, Nazanin Zahra Jafari, Hossein Ghaffarian, Masoud Khosravi Farmad3, Iman Zabbah, Parvaneh Dehghan,
Volume 13, Issue 5 (Dec & Jan 2020)
Abstract
Background and Aim: Timely diagnosis and treatment of abnormal thyroid function can reduce the mortality associated with this disease. However, lack of timely diagnosis will have irreversible complications for the patient. Using data mining techniques, the aim of this study is to determine the status of the thyroid gland in terms of normality, hyperthyroidism or hypothyroidism.
Materials and Methods: Using supervised and unsupervised methods after data preprocessing, predictive modeling was performed to classify thyroid disease. This is an analytical study and its dataset contains 215 independent records based on 5 continuous features retrieved from the UCI machine learning data reference.
Results: In supervised method, multilayer perception(MLP), learning vector quantization(LVQ), and fuzzy neural network(FNN) were used; and in unsupervised method, fuzzy clustering was employed. Besides, these precision figures(0.055, 0.274, 0.012 and 1.031) were obtained by root mean square error(RMSE) method, respectively.
Conclusion: Reducing the diagnosis error of thyroid disease was one of the goals of researchers. Using data mining techniques can help reduce this error. In this study, thyroid disease was diagnosed by different pattern recognition methods. The results show that the fuzzy neural network(FNN) has the least error rate and the highest accuracy.
Akbar Jafari, Ali Asghar Safae ,
Volume 13, Issue 6 (Feb & Mar 2020)
Abstract
Background and Aim: Implementation of virtual reality systems in the field of health care has recently made significant progress. This article aims to examine a virtual reality-based system designed for patients with two types of phobia: darkness and height.
Materials and Methods: The present paper is the result of a study conducted by searching valid scientific sources including Springer, PubMed and Science Direct(Elsevier), and observing and examining similar virtual reality systems. According to the performed studies, patients enter the virtual reality environment based on their phobia and physician opinion. To assess the effect of phobia, a series of questionnaires are used before and after the test; and using these questionnaires, physicians can evaluate the extent of their patients' recovery.
Results: One of the ways to treat phobia is to put the patient in real environment; but in terms of cost and feasibility, it is not possible to provide the environment for physicians and patients in many cases. However, by using virtual reality technology and in the system designed in this paper, psychiatrists can implement real environments as virtual reality in front of the patient's eyes.
Conclusion: In the system presented in this study, the existence of several diverse and appropriate virtual reality environments for the care and treatment of patients with darkness and height phobia is one of its distinct points because in many studies only a fixed environment is used for patients.
Mehrnoosh Jafari, Mahmoud Tavasoli, Khalil Ali Mohamadzadeh,
Volume 14, Issue 5 (Dec & Jan 2021)
Abstract
Background and Aim: The fair access to health services is one of the most important challenges of the country health system. The family physician was designed to increase access to services, reduce parallel work, and make optimal use of the country’s health resources. The aim of this study was to investigate the factors related to the longevity of physicians in the family physicians
Materials and Methods: The applied study was descriptive, survey. The 32 family physicians working in the comprehensive rural health services centers of Sabzevar was selected by census method. The research tool was a research-made pairwise comparison matrix consisting of 87 questions. The validity of the questionnaire was confirmed by examining the incompatibility rate of the questions. Dematel technique and Excel software were used for data analysis.
Results: The finding showed that environmental factor is the most important factor in the survival of family physicians(R=-0.1558), The managerial factors were also determined as the highest factor that affecting other factors (R=-0.09118). The environmental factors are (affective factor -0.006), managerial factor are (influential factor -0.003) and human factor are (effective factor 0.0037)
Conclusion: Environmental factor was the most effective factor on the survival of physician in this study. Creating suitable facilities, proper communication between family physician and villagers, education and culture of more villagers have the greatest impact on the survival of physicians. It is necessary for managers to planning more carefully by allocating more fund to environment factors.
Mohammad Javad Kabir, Alireza Heidari, Nahid Jafari, Honarvar Mohammad Reza, Sajad Moeini, Zahra Khatirnamani,
Volume 16, Issue 6 (Feb 2023)
Abstract
Background and Aim: Many health policies are not implemented or incompletely implemented after approval. This issue significantly reduces the popularity and responsiveness of the top managers of the health system and leads to service disruption in the target community. Therefore, this study was conducted to explain the existing challenges in the implementation of health policies.
Materials and Methods: A qualitative study was conducted in 2021. The participants in the study were 20 scientific and executive experts. The data was collected using an interview guide and the in-depth individual interview method and was analyzed using the content analysis method using thematic analysis with Graneheim and Lundman's approach.
Results: The challenges include the policies formulation (lack of evidence-informed decision-making, lack of attention to the details of the implementation, the change of the initial text of the policy, conflict of interests, unclarity the executives, the lack of proper integration between the political and technical components of the policies, the weak participation of the main stakeholders, the lack of the same understanding of policies concept between policy makers and executives and lack of budget forecasting), challenges of policies implementation (uncertainty about roles of executive organizations, lack of executive attachment, conflict of interest, lack of project management, change of formulated policies with change of executives, little belief among executives, lack of executive guarantee, lack of operational plan) and challenges of policies evaluation (Inadequate supervision and the absence of an informational and supervisory dashboard).
Conclusion: Using effective solutions to solve the challenges extracted in the stages of formulation, implementation and evaluation of health policies can lead to achieving the goals of the formulated policies and improving the health of the society.
Sanam Lotfi, Reza Safdari, Dr Kurosh Jafarian,
Volume 17, Issue 4 (10-2023)
Abstract
Background and Aim: Nutrition recommender systems are one of the most prominent technologies in the field of nutrition informatics that help users to have a healthy diet. These systems are able to suggest the most appropriate foods and meal plans considering the child's physical condition. Considering that children are the most vulnerable age group, one of the most important health goals in the early years of a child's life is achieving balanced and correct nutrition, and as a result this study was conducted with the aim of designing, creating and evaluating a children's nutrition recommendation system.
Materials and Methods: This research was conducted in 2022 in three stages to assess the needs of the informational elements of the nutrition recommender application. First, in order to determine data capabilities of the program, data needs analysis has been done. In the following, based on the needs assessment, the application was designed and its final version was created. The application was created in the Android Studio environment and then its technical applicability was done using the Nielsen questionnaire by 5 medical informatics and health information management experts.
Results: The required information capabilities of the program were determined and after the statistical analysis of the questionnaire, most of the items raised in it were deemed necessary by the experts participating in the research with a high percentage (90%) and were included in the application program. Then the design and creation of the nutrition recommender application for children 1 to 5 years old was done in the Android Studio programming environment. Finally, the use of Nielsen's exploratory evaluation questionnaire and its technical applicability were evaluated by experts. The average severity of the problems related to Nielsen's ten principles was 1.3, which is classified as minor problems.
Conclusion: Using the nutrition recommender application will be a useful solution to increase parents' awareness of the child's growth status in terms of age, height and head circumference. This program has improved nutritional health, improved mental health, and better growth of children and will play a significant role in preventing the occurrence of diseases by using appropriate nutritional recommendations.
Seyed Mohammad Sadegh Dashti, Amid Khatibi Bardsiri, Mehdi Jafari Shahbazzadeh,
Volume 18, Issue 1 (3-2024)
Abstract
Background and Aim: Medical reports and electronic health records are critically important for diagnosis, treatment, patient protection, and medical research. Correcting spelling errors in medical texts is essential to ensure accurate interpretation of information. This research was conducted to automatically correct spelling mistakes in Persian medical texts using neural networks.
Material and Methods: In this study, which was conducted in 2023, a computational model based on artificial intelligence neural networks and dual embedding techniques was developed using Python in a Windows environment. The dual embedding model was fine-tuned for correcting spelling errors in Persian sonography texts. The proposed model employs various techniques for automatic error detection, including dictionary lookup approach and contextual similarity coefficients. Furthermore, features specific to text processing, such as Edit-Distance, along with similarity coefficients, were utilized to automatically select the most appropriate substitute for a misspelled word. The training and testing data for the current model were sourced from a collection of sonography texts from the Imam Khomeini Hospital’s sonography clinic in Tehran.
Results: The proposed model which is based on artificial neural networks, leverages a novel dualembedding architecture to select the best candidate words for correcting both non-word and real-word errors. According to the evaluation results on Persian sonography text, the proposed model achieved an F-Measure accuracy of 90.5% in detecting real-word errors. Furthermore, it demonstrated an impressive 90% accuracy in automatically correcting these real-word errors. Additionally, the model exhibited a strong performance, achieving 90.8% accuracy in correcting non-word errors.
Conclusion: Based on the evaluation results, the proposed method is robust against various changes in word forms and can effectively manage a wide range of morphological and semantic errors, including replacements, transpositions, insertions, and deletions in medical texts. The integration of EditDistance with textual similarity coefficients extracted from the dual embedding model significantly enhanced the accuracy of spelling corrections in Persian sonography texts, ensuring greater validity of such documents. The authors believe that the proposed model represents a significant advancement in the detection and correction of spelling errors in Persian sonography texts.
