Showing 26 results for Disease
E Jazayeri Gharebagh, M Abaszadeh Ghanavati,
Volume 1, Issue 2 (2-2008)
Abstract
Background and Aim: Symptoms of the "Darkroom Disease" amongst X-ray personnel are well reported. In this study, radiographers have been compared to physiotherapists to see if there is any link between the occurrences of symptoms with processing chemicals. The aim of this study was to find the prevalence of these symptoms amongst radiographers.
Materials and methods: Sixty nine radiographers from 13 hospitals of Tehran Medical School University were compared with 72 physiotherapists from those hospitals. Respondents were asked to identify, by means of questionnaire, any of the symptoms like dermatitis, sore throat, allergy, shortness of breath etc., described as "Darkroom Disease" from which they suffer.
Results: Data provided by this work demonstrated that radiographers suffered more from shortness of breath (P=0.013 & for men P=0.045), nausea (men P=0.049), and physiotherapists suffered more from catarrh (P= 0.044 & for men P=0.046), as well as joint pain (men P=0.04).
Conclusion: The results from this preliminary work suggests that there is a link between using the processing chemicals and incidence of these symptoms like shortness of breath, nausea among radiographers (P< 0.05), and it seems that the incidence of dermatitis and the history of this disease are linked.
H Asheri, A Vasheghani Farahani, V Ziaee, R Alizadeh, Ar Amirbeiglou,
Volume 2, Issue 1 (9-2008)
Abstract
Background and Aim: Sudden death in athletes commonly is due to unknown cardiovascular diseases. Therefore many protocols have designed for screening in the world. In the last years has been spent more attention to sport in elderly athletes and the number of their competitions have been increased. The aim of this study was evaluation of risk factor of cardiovascular diseases in Iranian elderly wrestlers.
Materials and Methods: All the members (60 athletes) of Iran team in Elderly Wrestling World Championship 2006 have taken census in the present study. At two sections the cardiovascular health state of them has evaluated: history taking and physical examination, electrocardiography and exercise test. All date was analyzed by SPSS version 14 and mean and standard deviation for presenting findings.
Results: Sixty athletes aged 37 to 78 years (54.65±8.75) with history of exercise from 12 to 55 years (37.8±9.4) have been studied. In the history of 66.7% and in physical examination and history 75.1% athletes had at least one risk factor. Exercise test results of wrestlers were highly positive and positive in 8.6% and 5.2% respectively.
Conclusion: We suggest a perfect history taking and a complete physical examination for each athlete at the first step. If you found abnormalities then noninvasive diagnostic testes such as electrocardiography, exercise test and echocardiography will be useful and informative.
R Safdari, N Masouri, O Aminian, S Davoodi,
Volume 2, Issue 4 (3-2009)
Abstract
Background and Aim: Occupational diseases are certain types of diseases that have been caused by special jobs and subject to special circumstances. There are several factors that can intensify these diseases. Various countries have indicated that they have played an effective role in decreasing exposures and its economic costs and attracting optimal resources through establishment of a comprehensive information system for occupational diseases with a appropriate structure. Health improvement is considered as the first aim of the health system which requires a comprehensive, complete and integrated information system on occupational disease.
Materials and Methods: This is a descriptive Comparative study which was conducted in 2008 during which information systems in countries such as US, Finland, France and Iran have been studied based on their objectives and structures. Main instrument of this research was articles, books, magazines, valid internet sites in English language. Then, the gathered data were classified and analyzed.
Results: All the three selected countries had an electronic information system and database in the field of occupational disease. In Finland, data of occupational diseases as well as their damages are kept in separate databases while US lacks a comprehensive system. There are countless systems in these countries in this field. In France, supervision on laboratories is a priority. In Iran, there is no certain comprehensive system for registering diseases.
Discussion and Conclusion: All of these countries have the same objectives. Structure of occupational diseases information system, in Finland, is more comprehensive. Iran lacks such a system, so it is recommended to make use of the experiences of other countries and establish electronic comprehensive disease system in this country.
A Falahi , H Nadrian , S Mohammadi , Mh Baghiyani Moghadam ,
Volume 3, Issue 2 (9-2009)
Abstract
Background and Aim: Peptic Ulcer Disease (PUD), which is a prevalent disease, can have a considerable impact on patients' quality of life (QOL). The aim of this study was to explore the factors related to QOL based on PRECEDE Model in patients with PUD in Sanandaj, Iran.
Materials and Methods: A non-probability sample of 120 outpatients with PUD, referring to Beasat Hospital, in the city of Sanandaj participated in the study. The study took place between March and June of 2009. A descriptive, cross-sectional design was employed and the data were collected using a survey questionnaire based on PRECEDE model, consisting of QOL, Health Status, predisposing, reinforcing and enabling factors and self-management behaviors constructs. The data collected by interview and analyzed by SPSS v. 11.5. The statistical analysis of the data included Pearson correlation, t- test, one-way ANOVA and linear regression.
Results: Health status (p<0.01), reinforcing (p<0.01) and enabling (p<0.05) factors and knowledge (p<0.05) as a predisposing factor were related to quality of life of peptic ulcer patients. Moreover, health status (p<0.05) and social support as a reinforcing factor (p<0.01) had significant relationships with self-management behaviors. Finally, all of PRECEDE variables accounted for 68.9% of the variation of quality of life in PUD patients.
Discussion and Conclusion: With respect to the results of this study, preparing an educational program to promote self-management behaviors and quality of life in peptic ulcer patients is proposed. It was concluded that the PRECEDE Model may be used in developing countries, like Iran, as a framework for planning intervention programs in an attempt to improve the quality of life of patients with PUD.
R Safdari , M Maleki , V Ghorbani ,
Volume 3, Issue 2 (9-2009)
Abstract
Background and Aim: Today, cardiovascular diseases are the most important public health challenges in the world. Prevention and management of cardiovascular diseases necessitate the existence of a comprehensive system for recording data. Patient medical document is one of the most important data which should be classified so to facilitate and expedite the treatment process. A comparison of cardiovascular disease classification systems could assist health care policy makers to battle cardiovascular diseases.
Materials and Methods: This descriptive-comparative study conducted during years 2007-2008. The cardiovascular diseases classification systems in USA, Australia, England and Canada were reviewed. Data collecting was done through literature review, Internet and e-mail.
Results : The cardiovascular disease classification systems of all the developed countries are national. The developed countries, with the exception of England, utilize a multiracial classification model, especially designed to reflect the individual requirements of every single one of them. This model employs health care standards, e-learning, annual educational programs, and consultation with experts. Iran lacks such a national classification system for cardiovascular diseases.
Discussion and Conclusion : In order to improve the management and prevention of cardiovascular diseases in Iran, it is essential that the cardiovascular disease classification system in the country be national.
R Safdari , Mr Akbari , Sh Tofighi , M Moinolghorabaei , Gh Karami ,
Volume 3, Issue 2 (9-2009)
Abstract
Background and Aim: Today, psychological diseases like so many diseases, have an old history. Clinical Information System of psychological diseases resulting from war is a part of the information management system of mental illnesses, due to the management of mental patients from the war. This study is aimed to compare information management of psychological diseases in American, Australia and England with Iran.
Methods and Materials: This research is a study. At first, the existing situation was studied in three Psychiatric Centers in Ahvaz and Tehran with the use of a cheek list. Then information system of psychological disease has been studied in elected countries and based on the need of our own country, proposing practical solutions for Iran.
Results: The results of this study showed that there was no a information system of psychological disease in Iran. Also, four factors of this system including (goals, content structure, informational elements, information registration criteria) are reviewed in four selective countries.
Discussion and Conclusion: The design and implementation of this system in psychiatric centers is recommended to set two main goals including quality control and cost control in Iran.
F Nabatchian, N Einollahi, N Dashti, Af Sarrafnejad, Ghr Vatani,
Volume 4, Issue 3 (3-2011)
Abstract
Background and Aim: The balance between ROS generation and antioxidant activity is critical to the pathogenesis of oxidative stress related disorders. In this study the prooxidant - antioxidant balance and its correlation with lipid profile and uric acid was determined to evaluate the PAB as a prognostic factor for CAD.
Materials and Methods: Seventy - two patients and sixty eight healthy volunteers were enrolled in this study. The values of PAB were determined by using standard solutions and ELISA method.
Triglyceride, total cholesterol, LDL- cholesterol, HDL - cholesterol and uric acid were measured by enzymatic method.
Results: The PAB values of CAD patients and control group were 70.01±3.36 (HK unit) and 66.40 ± 2.84 (HK unit) respectively. There was no significant difference between PAB values among the two groups (P= 0.41). There was no significant difference between uric acid levels among the two groups (P= 0.46). There was a significant correlation between the uric acid values among patients and healthy volunteers and PAB values (P <0.01). There was a significant correlation between the TG, values among patients and healthy volunteers and PAB values (P<0.05).
Conclusion: This study showed oxidative stress could be used as a significant risk predictor in the coronary artery disease patient
Reza Safdari, Nilufar Masuri, Kambiz Bahaodini, Mahdiye Khorasanizadeh,
Volume 6, Issue 3 (9-2012)
Abstract
Background and Aim: With the increasing spread of technology, the use of telemedicine to treat diseases is increasing. Diseases of the ear, throat and nose, are among the most common illnesses, especially among children, which can be diagnosed and treated through tele-otolaryngology.
Materials and Methods: This comparative study is conducted in the United Stated, Australia and England. The information needed for the present study was collected from print sources such as texts, journals, and articles found in such databases as Medline, Embase, CINAHL, Web of knowledge, Google Scholar, and Scopus. To this end, certain key words like Telemedicine, Telehealthotolaryngology, ENT, ear diseases, otology and Teleconsultation were used.
Results: The most common way to send information is through the standard otoscopy, video-otoscopy and videoconferencing equipment (Audio-Video Receiver). The information needed for Telehealthotolaryngology includes demographic information (patient's name, identification number, date of receiving services) together with the data related to the diagnosis and treatment of the disease (disease history, radiology and scan results, eardrum images, laboratory results and previous consultation results).
Conclusion: For telehealthotolaryngology, suitable equipment is required to transmit audio-visual data properly so that ENT specialists and audiologists can benefit from it in their examination and treatment. The application of this method can help patients to economize on their treatment expenses and to follow their treatment in a better way.
Sima Esmaeili Shahmirzadi, Davoud Shojaeizadeh, Kamal Azam, Leili Salehi, Azar Tol, Monavvar Moradian Sorkhkolaei,
Volume 6, Issue 3 (9-2012)
Abstract
Background and Aim: Increase in life expectancy is associated with non-communicable diseases. This study is aimed to survey the effect of chronic diseases on the quality of life among the elderly people in elderly care centers in the East of Tehran in 2011.
Materials and Methods: This is an analytical study in which 424 people were randomly selected. They were members of elderly care centers and were 60 years of age or higher. The data collection instruments were a standard quality-of-life questionnaire(SF36) and a chronic diseases record checklist. The data were collected in an interview. For data analysis purposes, Independent T-Test, ANOVA, and Pearson correlation coefficient were used.
Results: The mean age of participants was 67.34±7.16. Some 92.2% of patients were suffering from at least one chronic disease, and there was a significant statistical difference between the mean points of all aspects of quality of life of those suffering from chronic diseases and those without a history of chronic diseases(P<0.001). Moreover, there was a significant relationship between the quality of life on the one hand and gender, marital status, economic status, and education on the other(P<0.05).
Conclusion: The findings show that an increase in the number of chronic diseases leads to a decrease in the quality of life, and that the application of appropriate educational and interventional approaches can help take effective steps to enhance the old people's health.
Azar Tol, Sima Esmaeili Shahmirzadi, Davoud Shojaeizadeh, Mohamad Reza Eshraghian, Bahram Mohebbi,
Volume 6, Issue 3 (9-2012)
Abstract
Background and Aim: Cardiovascular diseases are the main cause of death and disabilities in the world. The purpose of the present study is to determine the perceived barriers and benefits of adopting health-promoting behaviors among individuals at risk of cardiovascular diseases referring to TUMS Teaching Hospitals in 2011.
Materials and Methods: This is a cross-sectional study in which 325 patients at risk of cardiovascular diseases were randomly selected. The data were collected using a self-made questionnaire having three parts: 14 items for demographic and health-related variables, 12 items for perceived barriers, and another 12 items for benefits. For data analysis, SPSS 18 was used.
Results: The mean age of patients was 53.56±11.27 about 47.7% of patients(n=155) were female and 52.3% (n=170) were male. There was a meaningful relationship between the mean of perceived benefits on the one hand and occupation, physical activity, type and frequency of physical activity, smoking and awareness of cardiovascular diseases on the other(p0.001). Moreover, the mean of perceived barriers showed a meaningful relationship with occupation, smoking and awareness of cardiovascular diseases(p0.05).
Conclusion: The findings of the present study revealed that demographic and health-related variables could affect the perception of barriers and benefits of adopting certain behaviors for the prevention of cardiovascular diseases. Therefore, using interventional and educational approaches appropriate for target group features can help us take effective steps towards health promotion.
Seyed Abedein Hosseini, Ali Akbar Abdollahi, Naser Behnampour, Aref Salehi,
Volume 6, Issue 5 (1-2013)
Abstract
Background and Aim: Despite the information regarding CAD risk factors, there isn't agreement between the relation of this risk factors and coronary artery diseases. This study was done for determination of related factors with vessels involved in coronary artery angiography.
Materials and Methods: In this descriptive and analytical study, 2390 patients' .were selected via census sampling from Kosar Angiography center in the Golestan province. Data gathering form included data such as age, gender, body mass index (BMI), blood pressure, diabetes, smoking and opiates addiction history. Vessels involved were determined by angiography. Data analysis was done with one way ANOVAs and logistic regression using SPSS 16 soft ware.
Results: Mean and standard deviation of patient's age was 57.9±10. 58.2 percent of them were male. There were significant correlations between age, gender and BMI with numbers of vessels involved. Male gender(OR=1.329), hypertension (OR=1.25) and diabetes(OR=1.20) increased the probability of more than one vessels involvement. Regression analysis showed there were no significant correlations between age, BMI, smoking and opiates addiction history with more than one vessels involvement.
Conclusion: Our finding confirmed that male gender, hypertension and diabetes are the main risk factors in involvement of more than one vessel.
Fariba Nabatchian, Nahid Einollahi, Mohammad Ali Boroomand, Sakineh Abbasi,
Volume 7, Issue 2 (7-2013)
Abstract
Background and Aim: Oxidative interactions such as the formation of oxygen, peroxy radicals and LDL-cholesterol oxidation are involved in the development of atherosclerosis process
This study aims to examine the relationship between serum bilirubin levels and the incidence of coronary artery disease.
Materials and Methods: Eighty-five patients and ninety-two healthy volunteers were enrolled in this study. Total and direct bilirubin levels were measured using diazo method. Besides, triglycerides and total cholesterol were determined by enzymatic method, HDL-Cholesterol by polyanionic method, and LDL-Cholesterol by direct method. For statistical analysis of data, SPSS 17 was applied. For qualitative variables, Chi-square and for quantitative variables, t-student tests were used. The significance level was set at P=0.05.
Results: Direct, indirect and total bilirubin levels were 0.213, 0.375, 0.588 mg/dl for control group and 0.228, 0.365, 0.593 mg/dl for patient group, respectively. No significant difference was observed between the mean values for direct, indirect and total bilirubin in the two groups. Furthermore, there was no significant difference between triglycerides and total cholesterol level figures in the two groups. However, there was a significant difference between HDL-Cholesterol levels (P=0.001), smoking (P=0.031), family history (P=0.006), and mean blood pressure (P<0.001) of the two groups.
Conclusion: The results of this study indicate that measurement of bilirubin as a marker for predicting coronary artery disease may be important. In the end, it should be mentioned that the findings of this study are consistent with some previous studies, but incompatible with others in this area.
Ali Darvishpoor Kakhki , Jilla Abed Saeedi , Ali Delavar ,
Volume 7, Issue 6 (3-2014)
Abstract
Background
and Aim: Aging
is a natural experience which is usually accompanied by a variety of diseases.
Hence, this research was conducted to study the elderly people’s disease rate
and the number of times they refer to medical centers in Tehran.
Materials
and Methods: This
descriptive analytical study was conducted on the old people referring to the
Elderly Centers in Tehran in 2012. For data collection purposes, valid and
reliable self-report
demographic
and disease questionnaires were used. The data were analyzed by SPSS software
together with T-test and one-way ANOVA.
Results:
Four hundred old people participated in this study. Of
the participants, 300 (75%) were female and 100 (25%) male with a mean age of
67.65 (±6.38) years. Besides, 160 (40%) people had heart diseases, 137 (34.3%)
muscoskeletal diseases, and 83 (20.8%) endocrine diseases. Moreover, 381
(95.2%) participants had referred to doctors and therapeutic centers at least
once during the last year. Furthermore, 177 subjects (44.2%) were hospitalized
at least once last year.
Conclusion: The
prevalence of diseases in elderly people is more than expected. Most old people
refer to doctors and therapeutic centers, which is indicative of the fact that
they suffer from diseases and need varied health services.
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.
Sara Emamgholipour, Ali Akbari Sari , Sara Geravandi , Hoda Mazrae ,
Volume 11, Issue 3 (9-2017)
Abstract
Background and Aim: The World Health Organization (WHO) has placed special emphasis on the protection of families against the costs of health services. Patients suffer not only from the burden of a disease, but also from the burden of their health costs. The aim of this study was to estimate out-of-pocket costs and to identify the factors that affect catastrophic expenditures among patients with cardiovascular diseases in Khuzestan Province.
Materials and Methods: In this descriptive-analytic study, 100 cardiovascular patients having referred to educational hospitals in Ahwaz, Khuzestan Province, were considered. Out-of-pocket costs were estimated and using Econometrics Logit model, factors affecting catastrophic expenditures among households were identified. All analyses were performed using SPSS and Stata.
Results: The average out-of-pocket cost was 16,008,936 rials per patient during one year. Also, 55% of patients faced with catastrophic expenditures. Income level and family size had a significant negative impact; however, patients’ employment status had a positive but insignificant effect on catastrophic expenditures.
Conclusion: Hospital inpatient expenses and drug costs cover most of out-of-pocket expenditures and should be considered by policymakers. By increasing the income level and family size, families will encounter catastrophic expenditures less. The out-of-pocket costs among patients with cardiovascular diseases can be reduced by boosting the insurance coverage and government help.
Minoo Shahbazi, Reza Safdari, Mohammad Zarei,
Volume 12, Issue 2 (7-2018)
Abstract
Background and Aim: The quality of Electronic Health Records (EHRs) depends on the quality of its content and proper documentation. Determining the Minimum Data Set (MDS) to enhance the quality of electronic health records’ content and helping to improve the quality of health care provision to uveitis patients are essential matters. The aim of this study is to determine the essential MDS for uveitis patients’ electronic health records.
Materials and Methods: In this descriptive-analytical study, data collection tools for collecting the Minimum Data Set were library resources and internet-based database. The MDS was obtained through Likert scale questionnaire and was surveyed by 22 ophthalmologists and retina subspecialists.
Results: Among the elements of the survey, all cases with over 90% approval were considered as main elements. Regarding the importance of presented data elements, no significant difference was found between the responses of ophthalmologists who participated in this study.
Conclusion: The Minimum Data Set of uveitis patients’ electronic health records can be represented by five groups of demographic information: patients’ clinical records, laboratory information, type of uveitis, treatment guidelines, and the information of ophthalmic pictures. A suggested model for manual systems and electronic medical records is available.
Mohammad Reza Shahraki , Mahboubeh Mesgar,
Volume 13, Issue 1 (5-2019)
Abstract
Background and Aim: The liver, as one of the largest internal organs in the body, is responsible for many vital functions including purifying and purifying blood, regulating the body's hormones, preserving glucose, and the body. Therefore, disruptions in the functioning of these problems will sometimes be irreparable. Early prediction of these diseases will help their early and effective treatment. Regarding the importance of liver diseases and increasing number of patients, the present study, using data mining algorithms, aimed to predict liver disease.
Materials and Methods: This descriptive study was performed using 721 data from liver patient in zahedan. In this study, after preprocessing data, data mining techniques such as SVM: Support Vector Machine, CHAID, Exhaustive CHAID and boosting C5.0, data were analyzed using IBM SPSS Modeler 18 data mining software.
Result: The validity obtained for boosting C5.0 94/09, for Exhaustive CHAID algorithm 88/71, for SVM 87/09, for CHAID algorithm 85/47 prediction of liver disease. the boosting C5.0 algorithm showed a better performance of this algorithm among other algorithms.
Conclusion: According to the rules created by boosting C5.0 algorithm, for a new sample, one can predict the likelihood of a person for developing liver disease with high precision.
Mohsen Rezaei, Nazanin Zahra Jafari, Hossein Ghaffarian, Masoud Khosravi Farmad3, Iman Zabbah, Parvaneh Dehghan,
Volume 13, Issue 5 (1-2020)
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.
Lia Mirsafaei, Hassan Kaviani,
Volume 13, Issue 6 (2-2020)
Abstract
Background and Aim: Given the increasing research, the purpose of this study was to explain the effectiveness of this training and its effective factors.
Materials and Methods: The present study is a mixed and explanatory project. In the first step to obtain the effectiveness of self-care education through quantitative meta-analysis and secondly to examine its effective factors the qualitative method of the case study was used. Statistical population of the first stage includes all relevant internal research and secondly, it included all cardiologists in Isfahan province. The data gathering tool is firstly a researcher-made checklist and for the second stage, the semi-structured interview method was used. To analyze the first stage data Comprehensive statistical meta-analysis software CMA Version II and for the second step, coding methods were used.
Results: The results showed that self-care education interventions were highly effective in cardiac patients(ES=1.616, P<0.05) In other words, the average effectiveness of self-care education in (experimental groups) 94% were more effective than control groups. On the other hand, the results of the second stage showed Factors affecting effectiveness include seven factors: education, personal control, physical activity, nutrition, emotion control, optimism, and continuous follow-up.
Conclusion: Heart disease self-care based on the above mentioned factors, as the most effective factor in controlling and improving heart disease this will lead to a longer life expectancy and a better quality of life for patients with heart disease.
