Showing 36 results for Hadi
Azam Shahbodaghi, Shadi Asadzandi, Maryam Shekofteh, Farid Zayeri, Mostafa Rezaei Tavirani,
Volume 10, Issue 4 (9-2016)
Abstract
Background and Aim: Heterogeneous insertion of Organizational affiliations can cause loss of ranking points in the national and international levels. So, we decided to investigate the different affiliations of Shahid Beheshti University of Medical Sciences in scientific publications that indexed in Web of Science and their effect on the result of research activities evaluation in the year 2012.
Materials and Methods: Methodology of this study is bibliometric approach with descriptive survey. The study included 1139 scientific production of Shahid Beheshti University of Medical Sciences that indexed in Web of Science in the first one in April 2011 to April 2012.
Results: 1139 articles indexed in the Web of Science, 94/38% in the evaluation of the research activities of the ministry of health have been scored and 5/61% failed. Among the unsuccessful papers 1/01%, had been inserted affiliation incorrectly. One-sample t-test showed that the mean score of 1/01% has no significant statistical impact on the total average rating of products indexed in Web of Science.
Conclusion: Investigation showed that standard insertion of affiliation has impact on enterprise University Ranked and University status at the international level.
Nastaran Mirfarhadi , Atefeh Ghanbari, Abbas Rahimi,
Volume 11, Issue 1 (5-2017)
Abstract
Background and Aim: Early diagnosis is a tenet in oncology and enables early treatment with the expectation of improved outcome. The aim of this study was to determine the factors associated with personal characteristics and clinical signs in patients with breast cancer.
Materials and Methods: This research was a descriptive analytic that
cross-sectionally assessed 232 patients with definite breast cancer diagnosis that referred to Razi hospital located in Rasht using a researcher designed questionnaire including demographic and clinical signs. Collected data (mammography, tumor size, pathological stage of tumor) were obtained from medical records of patients. Gathered data analysis was accomplished with SPSS V.19 and for description of data from average and standard deviation for inference statics fisher test with a
P value of 0.05 were used.
Results: Mean age of subject was (49.80+10.27). 44 individuals (14%) had a precedent regular mammography before disease. Hundred and four (44.8%) in first appointment were referred to a general surgeon. Hundred and thirty six (58%) women were in stage III of the disease. Hundred and twenty nine (60%) patients had a tumor size more than 5 cm and 106 (46%) had a lymph node metastasis at the time of diagnosis. Patients referring with advanced stage of breast cancer had a low education (P=0.04) and income level (P=0.01).
Conclusions: Recognizing associated personal and clinical factors with early diagnosis can provide essential information for planning health education, screening and presenting appropriate solutions to overcome barriers to treatment and care in health system planning in this provinc
Azam Shahbodaghi , Arezoo Farhadi , Maryam Shekofteh , Manoochehr Karami,
Volume 11, Issue 2 (7-2017)
Abstract
Background and Aim: In the recent years the number of science research health journals has increased in Iran. These journals should be based on the standards and criteria required in international indexing database. The aim of this study was to determine the adaptation rate of structural requirements on the Iranian medical journals with the criteria of indexing based on Scopus indexing database.
Materials and Methods: This study was a descriptive-applied study done using bibliometric methods. The statistical population was all of the science research journals in health ministry on 2014. The data collection tool was the inventory control extracted from Scopus database. The data was collected and analyzed by SPSS20 software and descriptive statistics methods.
Results: The results showed that more than half of the biomedical journals were not based on the international editing statements and also, participation of the members of international editing committee was very low. The mean of international editing committee members was 83.3% and all of them were in Iran besides, participation of non Iranian authors was very low in these journals, with a participation rate of only 5.79%.
Conclusion: The Iranian medical journals did not follow the expected criteria in Scopus indexing database in a satisfaction level. Adaptation to the expected criteria can facilitate the entering and indexing procedures for these health journals in Scopus indexing database.
Mohsen Shirazi Mehrabad, Hadi Sharif Moghaddam , Khalil Kimiafar, Amirabbas Azizi,
Volume 11, Issue 4 (12-2017)
Abstract
Background and Aim: Periodic assessment of medical sciences databases is a necessary principle of the process of enhancement these databases. The aim of this study was to Comparatively evaluate structural features of medical bibliographic databases including MedLib, Barakat knowledge network system, Irandoc, SID, Magiran and PubMed, based on Gulliver criteria.
Materials and Methods: This survey was carried out in accordance with Gulliver's assessment checklist 2002. This checklist consists of 12 sections including entry page, searching, limiting, record viewing and manipulating, graphics, record retrieval, selective dissemination of information services, general design, terminology, icon design and placement, help and advanced features. The study was conducted on five national databases and one foreign database.
Results: Among the databases, PubMed gained the first ranking with a score of 89.16 percent. Among the national databases, new SID database with a score of 57.5 percent gained the top rank. Other databases including Irandoc (56.25%), Magiran (54.58 %), Barkat knowledge network system (52.91 %), MedLib (51.25%) and old SID (47.5 %) obtained next ranking respectively.
Conclusion: Despite improvements indices in updated national databases, many of the indicators are far from prestigious databases such as PubMed. It is recommended that in development of national databases, features such as search, help, SDI, entry page, advanced features and record retrieval should be considered.
Khadije Moeil Tabaghdehi , Marjan Ghazisaeedi , Leila Shahmoradi , Hossein Karami,
Volume 11, Issue 5 (1-2018)
Abstract
Background and Aim: Thalassemia is a chronic disease which is extremely expensive, complex and debilitating. The management skill of thalassemia patients should be enhanced to minimize the risk of disease complications. The main purpose of this study was to develop personal electronic health records for thalassemia major patients.
Materials and Methods: This is a developmental applied study which was conducted to develop a personal electronic health record for thalassemia major. First, a questionnaire was prepared to determine the data elements and was filled by Hematology and Oncology professionals in the country (110 persons). Then, based on the results of needs analysis, the system was designed using PHP programming language and MySQL database and was evaluated by 50 thalassemia patients who referred to the Thalassemia Clinic of Bu Ali Sina Hospital of Mazandaran University of Medical of Sciences during the second half of the month of Aban. Finally, a standard questionnaire of usability and user satisfaction assessment was distributed among them.
Results: Usability evaluation of the system showed that patients evaluated the system at a good level with a mean rating of 7.91 (out of 9 points).
Conclusion: The web-based systems can be used to help thalassemia patients to control injection and reduce the complications of the disease and to promote health.
Marjan Ghazi Saeidi , Sasan Moghimi Araghi , Shadi Babadi ,
Volume 11, Issue 6 (3-2018)
Abstract
Background and Aim: Glaucoma, with an increasing pressure inside the eye, is one of the causes of blindness worldwide. The only glaucoma treatment is regular eye examination and control of intraocular pressure (IOP). The centralized information obtained from these examinations is an essential prerequisite for providing optimal healthcare which is possible by creating electronic records. Minimum Data Set (MDS) is a standard tool for getting access to accurate data, which is among the basic needs for the design of electronic records.
Materials and Methods: This is descriptive-analytical study. The population of this study consisted of glaucoma patients’ medical records at Farabi Eye Hospital, reference books, and glaucoma specialists. The data collection tool was a questionnaire -- containing patients' records, and demographic and clinical data -- which was distributed between 22 available glaucoma specialists. The validity of the questionnaire was assessed by an expert team and its reliability was determined by test-retest method. Data analysis was performed by calculating the frequency percentage and Delphi test.
Results: After reviewing the rate of experts’ agreement with the components of the survey, all of the cases with over 75% approval rate were considered as minimum data set for glaucoma. Minimum data set was divided into three general categories: patient's records, demographic data, and clinical data.
Conclusion: Determination of minimum data set for glaucoma will be an effective step to integrate and improve the management of patients’ records. Moreover, it will be feasible to store and retrieve such records.
Mojtaba Ghiasi, Ahmad Sarlak, Hadi Ghafari,
Volume 12, Issue 4 (Oct & Nov 2018)
Abstract
Background and Aim: In the past studies, few researchers have addressed the simultaneous effects of human capital in health and education indicators on the economic growth of the country, and especially, provinces of the country. Therefore, the current study examined the simultaneous effects of human capital in health and education indicators on the economic growth in Iran s’ Provinces
Materials and Methods: This was an applied, analytical, descriptive study, and the research community consisted of the country's provinces. The data were collected through documentary-library research and from the databases of Iran Office for National Statistics, and Central Bank; afterwards, they were analyzed via unit-root and chow tests, using Generalized Method of Moments (GMM) and Eviews 9.
Results: The results showed that each percent of rise in family health expenditure, fertility rate, and life expectancy increased the provincial economic growth by 0.033%, 0.71%, and 1.83% respectively. In addition, 1% rise in mortality rate decreased the provincial economic growth by 0.43%. Educational expenditure influenced the provincial economic growth by a coefficient of 0.08, and credit capital asset acquisition, by a coefficient of 0.048.
Conclusion: Human capital is considered a long-term investment in health and education sectors which should be an important priority on the agenda of provincial policymakers.
Arash Rashidian, Efat Mohamadi, Taraneh Yousefinezhadi, Elham Dadgar, Sedigheh Salavati, Zahra Beigom Seyed Aghamiri,
Volume 12, Issue 5 (Dec & Jan 2019)
Abstract
Background and Aim: The starting point for any research is the problem-solving and Research Needs Assessment is needed to identify the underlying issues. This study was conducted to determine the research priorities of the Deputy of Health of Tehran University of Medical Sciences.
Materials and Methods: The present study was an applied study that was designed and implemented in five stages; 1. holding a workshop to teach nominal group technique; 2. Carrying out interviews and the primary extraction of research priorities; 3. Conducting the first round of nominating sessions; 4. holding the second round of nominal group meetings, 5. Finalizing research prioritization titles. Data were analyzed by Excel and Spss version 19 software.
Result: This study was conducted with the participation of 38 people. At first, 1039 minutes of interview, 258 original research titles were extracted. Initial research titles were scored during the 4 sessions. At the end, 75% of the participants rated the 21 study points as 7-9, which were considered as research priorities. The titles "Investigating the root causes of maternal death" was the most priority and "the assessment of the effectiveness of the screening of hypothyroidism" was the least priority.
Conclusion: According to findings, there is consensus among stakeholders on research priorities that require investment in generating knowledge related to health goals. Managing the research resources of the organization towards implementing these priorities will lead to a rational allocation of resources for the production of knowledge and applied products, and ultimately to improve the health of the population.
Mona Sarhadi, Mohammad Amin Shayegan,
Volume 15, Issue 1 (Apr & May 2021)
Abstract
Background and Aim: For effective treatment of Alzheimer's disease (AD), it is important to accurately diagnosis of AD and its earlier stage, Mild Cognitive Impairment (MCI). One of the most important approaches of early detection of AD is to measure atrophy, which uses various kinds of brain scans, such as MRI. The main objective of the current research was to provide a computerized diagnostic system for early diagnosis of AD, using leraning machine algorithms, to help physicians. The proposed system diagnoses AD by examining the hippocampal atrophy of brain MRI images and increases the accuracy of the diagnosis.
Materials and Methods: In this study, hippocampus was segmented from the other parts of the brain by using active contour and convolutional neural network and then, three groups of “Normal Controls: NC”, AD and MCI were classified by using the SVM classifier.
Results: The proposed method has succeeded in classifying AD against NC with 98.77%, 98.74% and 97.96% in average for accuracy, sensitivity and specificity, respectively. Also in classification of MCI against NC, the mean accuracy, sensitivity and specificity of 96.14%, 96.23% and 88.21% were achieved, respectively. Compared with the nearest rival method, the proposed method showed improvement accuracy and sensitivity of classification AD from NC with 1.64% and 2.81% respectively. Also, in classification of MCI from NC it showed improvement for accuracy with 8.9% and sensitivity with 2.16%, respectively. Improving in results were due to the use of a modified ACM segmentation algorithm, the use of a combination of features extracted from hippocampal images and features already created by the ImageNet network, the removal of inappropriate features from the feature vector, and the use of deep Inception v3 network.
Concolusion: Based on the results, the combination of polygon surrounding the hippocampus features and deep network features can be useful for detection of AD and MCI.
Niloofar Mohammadzadeh, Dr Seyed Hadi Sajjadi, Seyed Hasan Sajjadi,
Volume 15, Issue 1 (Apr & May 2021)
Abstract
Background and Aim: Social networks that provide users with health data not only educate them but also play an active role in the health decision-making process. Health social networks, in addition to being a good tool for better patient communication with health care providers, can play an effective role in connecting similar patients with each other to receive social support. Social networking is one of the biggest achievements of Web 2, which facilitates communication between people. Despite the spread of social networks, their use in the field of health is still at its early levels. To implement an information system, it is first necessary to identify, design and model the related processes. The main purpose of this study was to provide technical documentation for the development of social networks in the field of health in order to facilitate future developments.
Materials and Methods: This study was an applied research. Due to the review of texts in the first phase, this research was descriptive. It is also a developmental research due to its technological dimensions in modeling and pattern model presentation. First, extracted features were confirmed based on experts’ opinions. Then, according to the identified features, social network modeling was performed at three levels of data, functional and process. Based on the modeling, a prototype model was designed and evaluated.
Results: In this research, technical documents were prepared for the development of social networks in the field of health in the three axes of data modeling, functional modeling and process modeling. In the usability assessment by Nielsen model, the created prototype based on modeling was evaluated. Finally, the number of problems in each case of the Nielsen model was determined. The case of "Visibility of system status" with 26.31 and "Consistency and standards" with 5.27 were associated with the highest and lowest problems, respectively.
Conclusion: The growing need and expansion of the use of social networks has created a good platform for using this tool in the field of health and exploiting its benefits. The present study focuses on providing technical documentation for the development of health social networks and to facilitate the development of social networks in the field of health.
Nida Abdolahi, Mohamad Reza Nili Nili Ahmadabadi, Soghra Ebrahimi Qavam, Khadijeh Aliabadi, Mohammad Asgari,
Volume 15, Issue 1 (Apr & May 2021)
Abstract
Background and Aim: Deep and sustainable learning requires a safe and healthy environment. Moreover, paying attention to the intertwined emotional, motivational, cognitive and social processes in the teaching-learning process is vital. Academic achievement motivation and self-regulated learning (SRL) are two important elements in this process that are influenced by the achievement emotions in the learning environment. Therefore, the aim of this study is to evaluate the effectiveness of instructional design model based on control-value theory of achievement emotions (CVT), on academic achievement motivation and self-regulation learning.
Materials and Methods: The research was quantitative and performed by Nonequlment design control group. The statistical population included female second year high school students in Tehran in the academic year of 1997-98, who were selected by multi-stage cluster random sampling in two experimental and control groups. The experimental group was trained according to the instructional design model based on CVT theory and the control group did not receive this training method. The questionnaire of academic achievement motivation and self-regulated learning was administered to the experimental and control groups as pre-test and post-test before and after the implementation of the model. Data were analyzed by inferential and descriptive statistics using SPSS software and multivariate covariance.
Results: The results of univariate analysis of covariance of group effect on the scores of dependent variables show that there is a significant difference between the experimental and control groups in cognitive strategy (F=11/94, P>0/05, η2=0/14), metacognition strategy (F=56/06, P>0/05, η2=0/44), motivational beliefs (F=6/36, P>0/05, η2=0/08) and academic achievement motivation (F=10/69, P>0/05, η2 =0/13).
Conclusion: The result of this study show that the use of instructional design model based on CVT theory has a positive effect on cognitive strategies, metacognition strategies, motivational beliefs and learners' academic achievement motivation.
Mr Kasra Dolatkhahi, Adel Azar, Tooraj Karimi, Mohammad Hadizadeh,
Volume 15, Issue 4 (oct & Nov 2021)
Abstract
Background and Aim: Cancer and in particular Breast cancer are among the diseases that have the highest mortality rate in Iran after heart disease. The accurate prognosis for Breast cancer is important, and the presence of various symptoms and features of this disease makes it difficult for doctors to diagnose. This study aimed to identify the factors affecting Breast cancer, modeling and ultimately diagnosing the risk of Breast cancer.
Materials and Methods: In the present study, first, by content analysis and library studies, the effective factors in Breast cancer were identified, then with the help of a team of experts consisting of physicians and subspecialists in Breast oncology and Breast surgery; With the help of the Delphi method, the factors were adjusted and 26 final factors that were numerically correct and string based on local and climatic conditions were approved. Then, according to the final factors and based on the medical records of 5208 patients in the Cancer Research Center of Shahid Beheshti University of medical sciences, to diagnose cancer, Decision Tree, Random Forest, and Support Vector Machine methods were used as machine learning methods.
Results: In the first step, by content analysis method, 29 effective factors in Breast cancer were identified. Then, taking into account the indigenous and climatic conditions and using the Delphi method and also using the opinions of 18 Experts during three years, 26 factors were finalized. In the final step, using the medical records of the patients and the results obtained from the three methods mentioned, random forest, had the highest accuracy of 94.75% and precision of 97.26% in diagnosing Breast cancer. It has been noted that, compared to other similar studies, indigenous databases have been exploited, the accuracy obtained has been very close to previous studies, and in many cases much better.
Conclusion: Using the random forest method and taking advantage of the factors affecting Breast cancer, the ability to diagnose cancer has been provided with greatest accuracy.
Rezvan Azizi, Mohammad Azizi, Worya Tahmasebi, Hadi Abdolahzad,
Volume 15, Issue 6 (Feb & Mar 2022)
Abstract
Background and Aim: The prevalence of obesity is recognized as a health problem worldwide. Metabolic syndrome as the most important obesity factor is considered as one of the health problems in all societies. Supportive and complementary interventions are considered improvements in the status of individuals with metabolic syndrome. Therefore, the aim of this study was to investigate the effects of eight weeks of sodium alginate supplementation and high intensity interval training on lipid profiles and liver enzymes in metabolic syndrome women.
Materials and Methods: Thirty women with metabolic syndrome were randomly assigned into 4 groups: intermittent exercise (High Intensity Interval Training)+supplement (n=9), intermittent exercise (HIIT) )n=8), complementary (n=7) and control group (n=6). Subjects in HIIT and HIIT + supplementation groups performed three sessions of intermittent exercise each week for eight weeks with an intensity of 85% to 95% of the maximum heart rate. Sodium alginate supplementation was taken three times a week and 30 minutes before meals in the amount of 1.5 g of sodium alginate dissolved in 100 mg of water. Blood sampling were taken from all 4 groups 48 hours before and after the exercise program. One-way ANOVA and t-test were used for data analysis (P≤0.05).
Results: The results showed that in the exercise+supplement group lipid profile (P=0.005) and aspartate aminotransferase (P=0.012)(17.8%), fat percentage (P=0.001)(9.7%), BMI (P=0.000) and alanine aminotransferase (P=0.035)(12.7%) compared to the other group were significantly reduced, indicating the effect of intermittent exercise and supplementation on improving the symptoms of metabolic syndrome in women participating in this study.
Conclusion: According to the results of this study, it seems that high intensity intermittent exercise with sodium alginate supplementation can be effective in prevention of some obesity related diseases and treatment of the metabolic syndrome.
Hossein Hassani, Maryam Arab-Moorchegani, Narges Parsaie, Mahshid Rezaei, Khadijeh Mirzaei, Hossein Imani, Mir Saeed Yekaninejad,
Volume 16, Issue 2 (Jun 2022)
Abstract
Background and Aim: Currently, utilizing different nutritional indicators to investigate the association between diet and various diseases is considered in previous studies, which is related with some chronic diseases. However, no studies have studied the connection between the indicators with the rate of metabolism at rest (RMR). Therefore, the present study aimed to determine the relationship between dietary index and insulin load with resting metabolic rate (RMR) in overweight and obese women
Materials and Methods: A total of 280 healthy overweight and obese women (aged 18-50 years) who were referred to community health centers of Tehran University of medical sciences were included. In this study anthropometrics measurements such as weight, height, waist circumference, waist to hip ratio, body mass index, fat percentage, and fat-free mass were evaluated for every participant. Data on dietary intakes were collected using 147 semi-quantitative food frequency questionnaire (FFQ). DII and DIL were calculated using food insulin index values published earlier. To assess the RMR, indirect calorimetry was used.
Results: Mean age of study participants was 36.4±8.38 years. Although a significant association was seen between DII and RMR in a crude model (P=0.04); adjusting for different confounders made this significant relationship between DII and RMR insignificant. In addition, the dietary insulin index had no significant relationship with the amount of RMR/kg (p=0.63) and RMR/FFM (p=0.73).
Conclusions: Based on the results of this cross-sectional study, it seems that the insulin index and insulin load of the diet are not associated to the rate of resting metabolism. However, due to the limitations of this study, findings can only confirm or reject the hypothesis under further studies. It is also necessary to determine the role of dietary insulin indicators on human health, especially with a Study Prospective Design
Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi, Raoof Nopour,
Volume 16, Issue 2 (Jun 2022)
Abstract
Background and Aim: Breast cancer is one of the most common and aggressive malignancies in women. Timely diagnosis of breast cancer plays an important role in preventing the progression of this disease, timely treatment measures, and aftermath reducing the mortality rate of these patients. Machine learning has the potential ability to diagnose diseases quickly and cost-effectively. This study aims to design a CDSS based on the rules extracted from the decision tree algorithm with the best performance to diagnose breast cancer in a timely and effective manner.
Materials and Methods: The data of 597 suspected people with breast cancer (255 patients and 342 healthy people) were retrospectively extracted from the electronic database of Ayatollah Taleghani Hospital in Abadan city with 24 characteristics, mainly pertained to lifestyle and medical histories. After selecting the most important variables by using the Chi-square Pearson and one-way analysis of variance (P<0.05), the performance of selected data mining algorithms including RF, J-48, DS, RT and XG -Boost was evaluated for breast cancer diagnosis in Weka 3.4 software. Finally, the breast cancer diagnostic system was designed based on the best model and through C# programming language and Dot Net Framework V3.5.4.
Results: Fourteen variables including personal history of breast cancer, breast sampling, and chest X-ray, high blood pressure, increased LDL blood cholesterol, presence of mass in upper inner quadrant of the breast, hormone therapy with estrogen, hormone therapy with Estrogen-progesterone, family history of breast cancer, age, history of other cancers, waist-to-hip ratio and fruit and vegetable consumption showed a significant relationship with the output class at the P<0.05. Based on the results of the performance evaluation of selected algorithms, the RF model with sensitivity, specificity, accuracy, and F- measure equal to 0.97, 0.99, 0.98, 0.974, respectively, AUC=0.936 had higher performance than other selected algorithms and was suggested as the best model for breast cancer diagnosis.
Conclusion: It seems that using modifiable variables such as lifestyle and reproductive-hormonal characteristics as input to the RF algorithm to design the CDSS, can detect breast cancer cases with optimal accuracy. In addition, the proposed system can be effectively adapted in real clinical environments for quick and effective disease diagnosis.
Ashraf Dehghani, Maryam Ghanbari Khoshnood, Somayeh Amini Sarteshnizi, Arezoo Farhadi,
Volume 17, Issue 1 (3-2023)
Abstract
Background and Aim: The emergence and continuity of Corona has forced universities and higher education centers to change their educational strategy to take appropriate and consistent action to improve their educational programs. Due to the importance of e-learning and e-learning in response to these conditions, the present study investigated the experience of students of Hamadan University of Medical Sciences from e-learning in the Covid-19 crisis condition.
Materials and Methods: This was a qualitative research with an interpretive phenomenological approach. The purposeful sampling method was used. Semi-structured interviews were used to collect data. After the thirteenth interview, the theoretical saturation of the data was achieved and the interview process with the sixteenth person was completed. In order to analyze the text of the interviews, the Colaizzi method was used.
Results: From the analysis of the obtained data, three main themes: “Communication and interaction” with five sub-themes (lack of proper interaction between student/professor and student/student, lack of motivation, security and mental health, knowledge sharing and efficiency atmosphere in time and cost), “Management of time and learning style” with six sub-themes (low quality of teaching, stress, access and provision of resources, exam health, gaining experience and skills and opportunity to learn again and innovation in education) and “Infrastructure and technical facilities” were extracted with three sub-themes (weak support, ignoring educational equality and promoting media literacy). Weak interaction between professor and student, increasing level of anxiety and individual responsibility to achieve success in learning and weak technical and management infrastructure were the main challenges obtained from these three themes. Providing a platform for research, self-regulation and self-management in learning, increasing the knowledge and skills of information and communication technology are among the opportunities that are included in these themes.
Conclusion: The results of the current research require attention to the approach of interaction and communication between the learner and the learner, to review the methods of teaching and skill-learning, to improve the quality of electronic learning and to prepare suitable infrastructures for optimal use of electronic learning.
Mahdi Hadi, Ali Jahan, Lila Najafi, Mohamad Ali Shariat,
Volume 17, Issue 1 (3-2023)
Abstract
Background and Aim: Parallel to the progress of services, organizational complexity levels in health care centers (HCCs) have increased. The influential factors in this regard include the variety of services, the non-uniformity of the centers’ management conditions, and the rising expectations from the health system. Therefore, considering many factors influenced and effective, improvement of health services requires development of a systematic approach to evaluate their efficiency and management system. The aim of this study was to develop a balanced scorecard (BSC) model suitable for HCCs using a hybrid approach that combines the Fuzzy Delphi and DNAP techniques.
Materials and Methods: This research was a combined qualitative-quantitative study that was conducted with the aim of developing a BSC model suitable for HCCs. The statistical population consisted of 15 experts in health and medicine, who were selected based on the targeted snowball sampling. A researcher-made questionnaire and a 20×20 matrix questionnaire were used to collect the data. The questionnaire validity was calculated based on the experts’ opinions and the reliability was calculated using Cronbach’s alpha and consistency rate. The data was analyzed using Excel and MATLAB, and DNAP technique was used to determine the cause-and-effect relationship and the influence levels of the objectives.
Results: According to the results of the Fuzzy Delphi technique in the panel of experts, 5 viewpoints with 20 objectives of the BSC suitable for HCCs were identified and replaced the traditional viewpoints of the BSC. In addition, these results showed that the views of growth and development, intra-organizational processes, and social responsibility are considered as the influential factors due to the positive D-R values, while the views of patients and society, financial status, and performance are considered as the factors that are effective due to the negative D-R values.
Conclusion: The results of this study indicated that those points of view that are consistent with the goals of the HCCs should be used in the BSC in order to evaluate their performance. Also, prioritizing and determining the cause-and-effect relationship and considering the contribution of each point of view for achieving the goals of the HCCs can increase the performance.
Zeynab Arbabi, Abdolali Banaiefar, Sajjad Arshadi, Hamid Tabatabaei,
Volume 17, Issue 2 (5-2023)
Abstract
Background and Aim: Metabolic syndrome refers to a set of metabolic disorders related to obesity, such as abdominal obesity, increased body fat mass, lipid disorders, hypertension, increased blood glucose, and insulin resistance. The present study was conducted with the aim of determining the effect of 8 weeks of CXWORX exercises combined with inulin consumption on some indicators of oxidative stress in obese women with metabolic syndrome.
Materials and Methods: Forty eight obese women with metabolic syndrome in the age range of 30 to 40 years were randomly divided into Control, inulin, CX exercise and combined groups were included. Subjects were present in the laboratory environment and 5 cc of blood was taken from their brachial vein. Blood sample was taken to measure malondialdehyde and xanthine oxidase (pre-test). Then the aforementioned interventions were performed on the studied groups for a period of 8 weeks. Finally, blood sampling was done again to measure the variables (post-test).
Results: The results of the correlated t-test revealed that in all three groups, the intervention led to a significant decrease in malondialdehyde compared to the pre-test; However, xanthine oxidase variable did not change significantly in the exercise group and significantly decreased in the inulin and combined groups compared to the pre-test. ANOVA results revealed that compared to the control group, the amount of malondialdehyde is significant only in the combined group (P≤0.05). The amount of this variable in the combined group decreased significantly compared to the exercise and inulin group (P≤0.05). No significant difference was observed between the exercise and inulin groups (P>0.05). Amount of xanthine oxidase, a significant difference had between the inulin and combination groups with the control group (P≤0.05). No significant difference was observed between the exercise and inulin groups (P>0.05). Despite this, a significant difference in xanthine oxidase levels was observed between the combined group with the exercise and inulin groups (P≤0.05).
Conclusion: Based on the available findings, it is concluded that the implementation of CX exercises combined with the use of inulin reduces the oxidative stress function more than the application of each of them alone in women with metabolic syndrome.
Omid Ali Gholami, Jamil Sadeghifar, Bahareh Kabiri, Shabnam Ghasemyani, Sadegh Sarhadi, Reza Jorvand,
Volume 17, Issue 4 (10-2023)
Abstract
Background and Aim: Health literacy is recognized as a key determinant of health and is a central focus of public health policy strategies. The present study aimed to assess the health literacy level and identify the factors influencing it among the clients of comprehensive health service centers in Ilam city.
Materials and Methods: In 2022, a descriptive-analytical study was conducted to examine 429 clients aged 18-65 years who visited comprehensive selected health service centers in Ilam city. For adults the data collection tool used was the Helia health literacy questionnaire. Sampling was conducted in nine clusters, with each cluster consisting of 50 samples. The data was analyzed using SPSS software, which included descriptive statistical tests, Pearson’s correlation coefficient, and one-way analysis of variance, with a significance level set at 0.05.
Results: Based on the results, the average health literacy score was 80.16 ± 16.50. In terms of health literacy, 18.97% of people had inadequate or not very adequate health literacy, while 44.39% of the participants had excellent health literacy. The average health literacy scores across different dimensions are as follows: access to health information 65.74, comprehension of information 81/81, reading information skills 12.74, evaluation of information 05.75, and decision making and behavior based on information 61.92. A significant relationship was observed between job, education, and income variables and various dimensions of average health literacy (p-value≤0.001). However, there was no significant relationship between general health literacy and age, gender, and place of residence (P≤0.05).
Conclusion: The results of the present study demonstrate that vulnerable groups have significantly lower literacy levels. Furthermore, given the impact of education on enhancing people’s health literacy, it is advisable to leverage mass media, social networks, and educational centers to enhance literacy levels as a potential factor in community health.
Bizhan Hooshmand Moghadam, Shadi Moazami Goudarzi, Amir Rashid Lamir,
Volume 18, Issue 1 (3-2024)
Abstract
Background and Aim: Adipokines imbalance causes pathological effects on this system. Exercise interventions can play an important role in regulating the secretion of adipokines. This study aimed to investigate the effect of 12 weeks of resistance training on the serum level of apelin, vaspin, and blood pressure in elderly men with hypertension.
Materials and Methods: In this quasi-experimental study, 24 elderly men with high blood pressure were selected purposefully and based on the inclusion criteria and were randomly assigned to resistance training (N=12) and control (N=12) groups. The participants of the resistance training group performed resistance training for 12 weeks and three days a week. At the beginning and end of the study, blood samples were collected to measure the serum level of apelin and vaspin. Data analysis was performed using SPSS version 24 software with dependent and independent t-tests at a significant level of less than 0.05.
Results: After 12 weeks of resistance training, there was a significant decrease in the serum level of apelin (P=0.002), vaspin (P=0.01), systolic blood pressure (P<0.001), and diastolic blood pressure (P<0.001) as compared to the pre-test. In addition, a significant difference was observed between the two experimental and control groups in the serum level of apelin (p=0.001), vaspin (P=0.001), systolic blood pressure (P<0.001), and diastolic blood pressure (P<0.001).
Conclusion: It seems 12 weeks of resistance training can improve systolic and diastolic blood pressure and regulate the secretion of adipokines apelin and vaspin in elderly men with high blood pressure.
