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Reza Safdari, Fatemeh Sadeghi , Maryam Mohammadiazar,
Volume 10, Issue 2 (5-2016)
Abstract

Background and Aim: Population aging in most of developed countries should be subjective to more attention, regarding health issues of aging group. Different organizations and institutions have launched several programs related to elderly center. This paper is aimed to compare performance of different programs of active organizations in the field of elderly care in Iran.
Materials and Methods: This overview of research, used library resources and online databases Proquest, Pub med, Science Direct, Ovid and Scientific Information databases using keywords that  Aged care services, relevant organizations, and Iran.
Results: There are various classifications of geriatric services. However, these services can be divided into three groups including infrastructure, social services, and health care and preventive services according to concept, level and type of services.
Conclusion: In Iran, agencies and institutions relevant to elderly, take measures to support elderly people given their current tasks and allocated budget. But, these measures do not seem adequate, because solving aging problem, as a problem with evident influences which its impacts will be intensified in future, requires responsibility and cooperation of more agencies and public institutions.


Kobra Taram, Mohammad Jebrayeeli Mazrae Shadi , Abbas Doulani,
Volume 10, Issue 2 (5-2016)
Abstract

Background and Aim: The aim of this study was structural monitoring of the articles in knowledge and information science field in five Iranian journals. Today, the publication of papers constitutes one of the written scope among scientific broad cost productions.
Materials and Methods: The research method was analytical-survey. The articles were analyzed by the variables such as author distribution by sex, field of study, scientific notation, types of articles by original papers or translated papers, individual or group articles and their publication dates, and by statistical methods used in the articles in two periods from 2002-2006 and 2007-2011.
Results: The results showed that most of the articles were written as original. International cooperation between authors was minimal. Using qualitative research methods among the articles were low. Majority of the authors had masters degree. There was a significant relationship between the authors’ grades, number of authors and journals, and used statistical methods.
Conclusion: The written articles in the field of knowledge and information, followed by special patterns. The journals policies in publication of articles process is the most important issue. Also, lack of international cooperation between Iranian with foreign authors, type and format of the articles were similar according to mentioned variations.


Mohammadhiwa Abdekhoda, Maryam Ahmadi, Mahmodreza Gohari, Alireza Noruzi,
Volume 10, Issue 2 (5-2016)
Abstract

Background and Aim: Inclusive implementation of Electronic Medical Records (EMR) is more serious because of physicians’ perception. This study was carried out to identify the effects of organizational contextual factors on physicians’ perception regarding EMR’s adoption in 2013 (The merger of Tehran University and Iran). 
Materials and Methods: This was a descriptive, analytical and cross- sectional study in which a sample of 270 physicians working in hospitals affiliated to Tehran University of Medical Sciences was selected. Physicians’ perception toward adoption of EMR has been assessed by Technology Acceptance Model or TAM questionnaire and organizational context variables. Collected data were analyzed by SPSS. The study model was tested by Structural Equation Modeling (SEM) and represented by AMOS. 
Results: The findings showed that perceived usefulness (PU), perceived ease of use (PEOU), management support, physicians’ involvement, physicians’ autonomy, and physician- patient relationship have direct and significant effect on physicians’ attitudes toward EMR adoption. However, training has no significant effect on TAM variables. Moreover, the results showed authorizing proposed conceptual path model explained about 56 percent of the variance of EMR adoption.
Conclusion: The present study revealed that organizational context factors had significant effect on physicians’ attitude toward EMRs’ adoption. The study clearly identified six relevant factors that affected physicians’ perception regarding EMR adoption. These factors should be considered when comprehensive implementation is pursued.  


Marjan Ghazi Saeedi , Leila Shahmoradi, Safieh Ilati Khangholi, Mahdi Habibi-Koolaee ,
Volume 10, Issue 3 (7-2016)
Abstract

Background and Aim: Computerized physician order entry system is the process of entering orders electronically. It is a replacement for manual system and is considered as a part of a clinical information system. The appropriate design of this system leads to the enhancement of its capabilities, ensures orders accurately and comprehensively, and transfers information to different parts rapidly. Therefore, transfer time and the error related to the wrong path or misinterpretations will be omitted; in the end, efficiency will increase. This study aims to present different perspectives on design principles of computerized physician order entry system for stakeholders.
Materials and Methods: In this review article, Google, Google Scholar, Pub Med, Web of Science and Scopus databases were searched with some keywords related to design principles of computerized physician order entry system.
Results: Based on the performed studies, factors such as inappropriate design of links, display page, set of orders content, drug database, structure of order environment, rules, formats, mechanism of getting reports of errors, and finally clinical decision support system have led to the decrease of doctors’ performance, increase of new errors, and reduction of patients’ safety.
Conclusion: Inappropriate design leads to the increase of new errors after the implementation of system; therefore, proper and principled design of this system can lead to the improvement of practitioners’ function, decrease of prescription errors and drug side effects, reduction of costs, efficiency increase, workflow 


Mahtab Karami, Reza Safdari,
Volume 10, Issue 4 (9-2016)
Abstract

Background and Aim: Hospital is a complex ecosystem in terms of diversity of services, clients, personnel, equipment, technologies, data and information which are generated. Since the ultimate goal of a hospital is to improve quality of care along with reducing cost, using intellectual tool such as dashboard can create strategic value.

Materials and Methods: This review article was performed based on a literature review and internet search through such scientific databases as PubMed, EBSCO host research, Proquest, Emerald, Web of science and search engine such as Google, Google Scholar. In this study, the articles about intellectual capitals as well as the application of dashboard in healthcare between year 2009 and 2013 were reviewed.

Conclusion: Application of dashboard in hospital can create strategic values such as respond to environmental changes rapidly, identify new market opportunities, become a learning organization by discovering new patterns and relationship among data, achieve best practices by analyzing patterns of treatment and results and achieve the highest efficiency.


Zahra Meidani, Mehrdad Farzandipour, Hamidreza Gilasi, Manizheh Shekrachi, Zahra Nazemibidgoli,
Volume 10, Issue 4 (9-2016)
Abstract

Background and Aim: In attention to hospital beds serves as an invaluable resource in health system and necessity for appropriate hospital beds utilization through the reduction of patient inappropriate stay, this study aimed to assess the proportion and causes for hospital inappropriate stays. 
Materials and Methods: The proportion and causes for hospital inappropriate stays were analyzed in a cross-sectional survey using a sample of 1925 days of hospital stay based on the Appropriateness Evaluation Protocol. The study was conducted at the tertiary care University Hospital Shahid Beheshti, 510 – bed teaching hospital which is located in the central part of Iran.
Results: Hundred and twenty one days (6.3%) of 1925 days of patient hospitalization were inappropriate. There was relationship between inappropriate stay and patients’ age and types of insurance. Findings relating to analysis of patient non demographic causes revealed that among hospitals, physicians and patient causes, Hospital-related causes and Physicians related causes have the most impact 42 (33.1%) and 37 (29.1%) on patient inappropriate stay  respectively. 
Conclusion: AEP list of reasons provides base line data for performance improvement in health care organizations. For conducting improvement process, developing a multidisciplinary team under title of Utilization Review committee is recommended to pave the way for targeted interventions based on identified potential causes. 


Hossein Rahanjam, Hossein Qeraati, Mohammad Reza Kardan,
Volume 10, Issue 4 (9-2016)
Abstract

Background and Aim: One of the main steps of optimization process in diagnostic imaging is quality control of X-ray devices. If the control quality process and the quality of X-ray equipment are not ensured through a systematic procedure, it can increase the risk of unnecessary exposures among the population. Therefore, this study can reduce the risk of unnecessary exposures in the entire population. 
Materials and Methods: In this study, six quality control tests including voltage measurement accuracy test, time accuracy test, output repeatability test, output to time linearity test, output to milliamp linearity test, and radiation quality measurement test were evaluated in all centers of Ilam in accordance with what the international Atomic Energy Agency and the Atomic Energy Organization of Iran has presented. 
Results: The result showed that diagnostic X-ray devices available in Ilam had a relatively good quality in all quality control tests that were done except the associated with the radiance quality of (HVL). However, almost all these devices need to add additional filters to the X-ray tubes to resolve error in their HVL. 
Conclusion: Adding additional filters to radiology devices in Ilam Province and modifying the thickness of filters seem to be necessary and desirable which will prevent the unnecessary increase in patients' dose. The accurate and regular implementation of quality control tests in imaging wards should change into a culture. On the other hand, the relevant organizations which have the great responsibility to protect people against radiation are recommended to monitor and supervise radiology centers more accurately and responsibly to repair diagnostic radiation devices.


Narjes Mirabootalebi, Maryam Ahmadi, Mohammad Dehghani, Shahram Khani, Mohsen Azad,
Volume 10, Issue 5 (1-2017)
Abstract

Background and Aim: Electronic Medical Record system collects and stores laboratory data, digital images and electronic versions. It plays a major role in reducing medical errors and duplication and health care providers immediate access to patient medical records. This study aimed to examine the viewpoints of Hormozgan University of Medical Sciences' administrators on the role of electronic Medical records system.  
Materials and Methods: The study was a descriptive-analytical research to examine the viewpoints of Hormozgan University of Medical Sciences' administrators and physicians on the role of electronic medical records system. The study population consisted of 61 managers, matrons and health information managers of Hormozgan hospitals and 121 faculty physicians and residents. Data collection tool was a researcher-made questionnaire. The validity was determined and verified by content validity method and experts' views. Cronbach's alpha coefficient was used for assessing reliability, which was 83%. Data collected from the questionnaires was analyzed using SPSS software and descriptive statistics and analytical statistics.
Results: Results indicated that "data management" (N=146) with 77.5%, "job objectives and processes" (N=160) with 87.9%, "communication" (N=163) with 89.6%, "data privacy and security" (N=152) with 83.1% had the most important roles in the health system. 
Conclusion: Generally, managers and physicians attitudes about the role of electronic medical records system in the health system was evaluated satisfactorily. According to the advantages of the system and removing major obstacles in its implementation, a new step would be taken in order to promote health.


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.


Reza Safdari, Masoumeh Hamidi, Mohsen Aghaee, Marjan Ghazi Saeedi ,
Volume 10, Issue 6 (3-2017)
Abstract

Background and Aim: The objective of this study was to design electronic card of health for schizophrenic patients to better manage their clinical information.
Materials and Methods: The study was conducted year 2014. The population of the study included 40 psychiatrists. The information, based on minimal clinical and demographic data, was gathered through field study and survey using a questionnaire. Referential and inferential statistics techniques were used to analyze the data.  To schizophrenic patients' electronic health cards, various software were studied to design database, card and card reader.
Results: According to the results and observed frequencies, it was confirmed that the components of demographic and clinical information be inserted in the electronic card of health. The project includes hardware of card reader machine, card and visual studio software. Microsoft SQL Server, 2008, was applied to design database. 
Conclusion: The electronic card of health for schizophrenic patients helps the treatment team to provide effective health care as well as medical records and hospital admission's staff in better management of patient information. It also reduces the problems of relatives and family members of the patients in the medical centers and facilitates, and the process of treatment of schizophrenic patients significantly. Using schizophrenia patient’s electronic health card, hospital in better management of patient information puts in good condition. 


Zahra Meidani, Mehrdad Farzandipour, Alireza Farokhian, Masome Haghighat, Zahra Nazemi Bidgoli ,
Volume 10, Issue 6 (3-2017)
Abstract

Background and Aim: In attention to pressing need to cost containment and service efficiency, laboratory services serve as a central locus for controlling health care expenditure. This study intents to investigate proportion of laboratory utilization in Iran to pave the way for future interventions.
Materials and Methods: A cross-sectional study was conducted to investigate the proportion for laboratory utilization through the retrospective analysis of 384 medical records at the tertiary care Kashan University Hospital Shahid Beheshti. To pave the way for future intervention, over utilization tests were classified into two categories, inappropriate and resulted in laboratory errors.
Results: Nine thousand five hundred forty one laboratory tests were ordered, 2522 (26.40%) of the tests were inappropriate and 143 (1.5%) of the over utilization tests have occurred due to laboratory testing cycle errors. According to reviewers’ judegment relevancy to medical intervention was considered as the most accepted appropriateness criteria 5012 (52.53%) for laboratory tests 
Conclusion: Since, the laboratory tests over utilization is multifactorial, forming a multidisciplinary team including physicians, nurses, laboratory staff, medical education experts, health care management and health information technology staffs in terms of Utilization Committee to develop more targeted strategy based on root cause analysis of over utilization behavior seems necessary. 


Reza Safdari, Marjan Ghazi Saeedi, Mostafa Sheykhotayefe , Mohammad Jebraeily, Seyedeh Sedigheh Seyed Farajolah, Elham Maserat , Roya Laki Tabrizi,
Volume 11, Issue 1 (5-2017)
Abstract

Background and Aim: The most important issues that always absorb accuracy and effort of hospital, is the mastery and control over the financial status for the hospital resources management. In all countries, the medical centers are considered as a vital community resource and must be managed in line with the interests of society. Hence, these studies aimed to investigate the causes of insurance deductions and were made to assist hospital administrators in reducing the deductions against them. 
Materials and Methods: This descriptive research is retrospective study in year 2012. The study population consisted of 100 insurance experts deployed in insurance centers (including Health care’s, Social security, Armed forces, Help Committee) from which 25 experts were randomly selected from each Insurance Center. Researcher madden questionnaire was used to collect data. For validating of questionnaire justifiability, questionnaire was provided to insurance expert, professors and ambiguities were resolved. Test-retest procedure was used to ensure the Stability of the questionnaire. The collected data was analyzed and classified using Excel software.
Results: These findings indicate that between all parts of surgery wards deductions are the highest (%45/55), and between surgery wards, orthopedics surgery had the highest amount of deductions (%40/75).
Conclusion: Healthcare provider should be more careful and minimize documentation errors in reporting and documentation. Also the hospital administrators for reducing deductions against patient records must provide educational course for correct documentation.


Maryam Nakhoda, Abbas Sheikh Taheri, Madihe Esfandiari Pour,
Volume 11, Issue 1 (5-2017)
Abstract

Background and Aim: Organizations must collect, process and analyze different types of necessary information and give them to managers and other individuals. Such information includes the management of medical records and documents in insurance companies. This study aims to evaluate the potentialities of medical records management electronic systems in such companies.
Materials and Methods: In this cross-sectional applied research, the systems existing in insurance companies were checked using researcher-made checklists to study the capabilities of medical records management electronic systems in all governmental and private insurance companies of Gorgan. For data-analysis, descriptive statistics (frequency, percentage) was used.
Results: In data register and entry, the share of insurance companies as well as the amount of deductions was 92%. In the ability to search, store and retrieve, the search based on the names of persons had the highest percentage (100%). Security was one of the features considered in the software of insurance companies. In the reporting section, the possibility to report the titles of medical documents was 92%. Lack of physical and electronic documents manageability through check-out method was 14%. 
Conclusion: In terms of functional capabilities, softwares observed in insurance companies have both strong points (security feature) and weak points (classification and indexing capabilities). The management of medical records and documents can be enhanced in the softwares of insurance companies by using the mentioned capabilities of the existing softwares. 


Niloofar Mohammadzadeh, Reza Safdari,
Volume 11, Issue 2 (7-2017)
Abstract

Background and Aim: Agents can provide suitable infrastructure for follow-up data analysis and Chronic Heart Failure (CHF) management due to their many advantages such as autonomy and pro-activeness. The aim of this article is to explain the key points which should appropriately be considered in designing a CHF management system.  
Materials and Methods: In this literature review, articles with the following keywords were searched in ScienceDirect, Google Scholar and PubMed databases without regard to their publication year: multi-agent system, chronic heart failure, and chronic disease management.
Results: In designing CHF management through a multi-agent system approach, there are key points in general and specific aspects that must be considered; for example, confidentiality and privacy, architecture, appropriate information and communication technology infrastructure, and legal and ethical issues.   
Conclusion: Clearly, identifying and resolving technical and non-technical challenges are vital to the successful implementation of this technology. Thus, in the design and implementation of agent-based systems, many issues should be considered; for instance, reduced face-to-face communication between patients and doctors that can lead to increased stress in some CHF patients, appropriate architecture and application of communication standards and protocols, the mode of communication between agents, users’ attitudes, supporting stakeholders to use agent technology, sufficient budget, coverage of healthcare costs based on agent technology, financial capability, and identification of opportunities and barriers.

Sajad Mazaheri , Maryam Ashoori, Zeynab Bechari,
Volume 11, Issue 3 (9-2017)
Abstract

Background and Aim: Nowadays heart disease is very common and is a major cause of mortality. Proper and early diagnosis of this disease is very important. Diagnostic methods and treatments of the disease are so expensive and have many side effects. Therefore, researchers are looking for cheaper ways to diagnose it with high precision. This study aimed to identify a model for the treatment of heart disease.
Materials and Methods: In this descriptive cross-sectional study, the sampling method was census. The sample consisted of data from Khatam and Ali Ibn Abi Talib Hospitals in Zahedan. The data were developed as an Excel file, and Clementine12.0 software was used for data analysis. In the present study, C5.0, C & R Tree, CHAID, and QUEST algorithms and artificial neural network were carried out on the collected data. 
Results: The accuracy of 76.04 by C & R algorithm indicates the better performance of Decision Tree Algorithms than that of the Neural Network. 
Conclusion: This study aimed to provide a model for the prediction of a suitable heart disease treatment to reduce treatment costs and provide better quality of services for physicians. Due to considerable implementation risks of invasive diagnostic procedures such as angiography and also obtaining successful experiences of data analysis in medicine, this study has presented a model based on data analysis techniques. The improvable point of this model is the provision of a decision support system to help physicians to increase the accuracy of diagnosis in the treatment of diseases. 

Seyed Abbas Mahmoodi , Kamal Mirzaie, Seyed Mostafa Mahmoodi ,
Volume 11, Issue 3 (9-2017)
Abstract

Background and Aim: Gastric cancer is the second leading cause of cancer death in the world. Due to the prevalence of the disease and the high mortality rate of gastric cancer in Iran, the factors affecting the development of this disease should be taken into account. In this research, two data mining techniques such as Apriori and ID3 algorithm were used in order to investigate the effective factors in gastric cancer.
Materials and Methods: Data sets in this study were collected among 490 patients including 220 patients with gastric cancer and 270 healthy samples referred to Imam Reza hospital in Tabriz. The best rules related to this data set were extracted through Apriori algorithm and implementing it in MATLAB. ID3 algorithm was also used to investigate these factors.
Results: The results showed that having a history of gastro esophageal reflux has the greatest impact on the incidence of this disease. Some rules extracted through Apriori algorithm can be a model to predict patient status and the incidence of the disease and investigate factors affecting the disease. The prediction accuracy achieved through ID3 algorithm is 85.56 which was a very good result in the prediction of gastric cancer.
Conclusion: Using data mining, especially in medical data, is very useful due to the large volume of data and unknown relationships between systemic, personal, and Behavioral Features of patients. The results of this study could help physicians to identify the contributing factors in incidence of the disease and predict the incidence of the disease.

Zahra Jalali, Hasan Ashrafi-Rizi, Mohammad Reza Soleymani, Mina Afshar,
Volume 11, Issue 4 (12-2017)
Abstract

Background and Aim: Functions and services of academic libraries have been affected very much by the entrance and the development of information technology (IT) in university libraries. Since the main mission of academic libraries is advance of educational and research programs of university, the authorities should deploy expertise with technical skills to be able to fulfill their most important job. The aim of this study was to identify factors influencing the adoption of information technology by librarians of governmental academic libraries based on the Technology Acceptance Model (TAM).
Materials and Methods: This was a survey research and the tool was a questionnaire based on TAM. The study population consisted of 151 librarians and census method was used. The validity was confirmed by experts in library and information sciences and also IT. Reliability obtained 0.89 using Cronbach's alpha. Statistical method was descriptive, inferential and data analysis was done via software SPSS20.
Results: Determination coefficient 0.282 shows that TAM is applicable in research population. This means that the applicability of the TAM was relatively appropriate for study about librarians of university libraries. Priorities effects of TAMs variables on the actual use of IT shows the most effective variable are intent to use (0.39), perceived ease of use (0.21), perceived usefulness (0.15) and attitude to use of IT (0.12).
Conclusion: Provision of required IT infrastructure and training for effective use should be considered for librarians.  In addition to that, courses of introduction to library information technology should be included in the library and information science curriculum.

Somayeh Fazaeli , Mehdi Yousefi , Zahra Sadat Ershadnia ,
Volume 11, Issue 4 (12-2017)
Abstract

Background and Aim: Considering the scope of tasks and the role of teaching hospitals in the promotion of population health, it is important to consider their responsiveness as one of the three goals of health system. The aim of this study was to evaluate the level and relative importance of responsiveness domains in teaching hospitals from the viewpoint of households living in selected areas of Mashhad.
Materials and Methods: In this cross-sectional study, a valid questionnaire designed by World Health Organization (WHO) was used. From among the households of two selected areas of Mashhad, 561 families that had the background of referring to teaching hospitals were selected via multi-stage sampling. Based on WHO pattern, descriptive and inferential statistics were used for data analysis.
Results: About 50 percent of the respondents expressed the level of responsiveness as good and very good. Information confidentiality domain and the quality of amenities got the highest and lowest ranks from the respondents’ viewpoint, respectively. The highest and lowest importance belonged to the domains of quality care facilities and family and social support, respectively. 
Conclusion: Considering the relatively low responsiveness of different domains and also the existing gap between families’ priorities and performance of teaching hospitals, it seems necessary that policymakers pay more attention to patients’ priorities such as the quality of care facilities and the creation of appropriate educational content related to medical students. Also, periodic evaluation of responsiveness can be useful in promoting the responsiveness of teaching hospitals.

Reza Safdari, Maliheh Kadivar, Parinaz Tabari, Hala Shawky Own ,
Volume 11, Issue 5 (1-2018)
Abstract

Background and Aim: Neonatal jaundice is a matter that is very important for clinicians all over the world because this disease is one of the most common cases that requires clinical care. The aim of this study is to use data classification algorithms to predict the type of jaundice in neonates, and therefore, to prevent irreparable damages in future.
Materials and Methods: This is a descriptive study and is done with the use of neonatal jaundice dataset that has been collected in Cairo, Egypt. In this study, after preprocessing the data, classification algorithms such as decision tree, Naïve Bayes, and kNN (k-Nearest Neighbors) were used, compared and analyzed in Orange application.
Results: Based on the findings, decision tree with precision of 94%, Naïve Bayes with precision of 91%, and kNN with precision of 89% can classify the types of neonatal jaundice. So, among these types, the most precise classification algorithm is decision tree. 
Conclusion: Classification algorithms can be used in clinical decision support systems to help physicians make decisions about the types of special diseases; therefore, physicians can look after patients appropriately. So the probable risks for patients can be decreased. 

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. 


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