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Showing 4 results for Cardiovascular Diseases
Comparison of Cardiovascular Diseases Classification in some developed countries with Iran
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.


Determination Of Perceived Barriers And Benefits Of Adopting Health-Promoting Behaviors In Cardiovascular Diseases Prevention: Application Of Preventative Behavior Model 
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(p0.001). Moreover, the mean of perceived barriers showed a meaningful relationship with occupation, smoking and awareness of cardiovascular diseases(p0.05).

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.


Determining the Information Requirements of Electronic Prescribing and Medication Administration System for Cardiovascular Patients
Reza Safdari, Farnoosh Larti, Kamyar Fathi Salari, Saman Mohammadpour,
Volume 14, Issue 3 (7-2020)
Abstract
Background and Aim: Cardiovascular diseases and medication errors are among the leading causes of morbidity and mortality around the world. Electronic prescribing and Medication Administration(ePMA) systems can prevent medication errors to some extent. This study aimed to determine the information requirements of ePMA systems.
Materials and Methods: This descriptive study was conducted in Imam Khomeini Hospital of Tehran and School of Allied Medical Sciences affiliated to Tehran University of Medical Sciences (TUMS) in the summer of 2019 in two phases: literature review and survey-based questionnaire. Information items obtained from reviewing the texts of 100 articles were organized in three questionnaires. In the survey phase, questionnaires were distributed among physicians, nurses, and the experts of health information management(HIM) and medical informatics, using census sampling method. The reliability of the questionnaires was measured using Cronbach's coefficient alpha. Statistical analysis was done using SPSS.
Results: The findings showed that based on specialists’ point of view, patients' demographic information items and unique identifiers gained the highest average, above 4.7. Physicians agreed most with clinical information, including medication history and generic names. From the nurses’ point of view, the information items of the patients’ problems and the procedures performed and the types of drug doses obtained a complete average of 5.
Conclusion: The need for information items varies among different users of ePMA systems, but there may be items that are common for them. Future studies should further investigate financial and pharmaceutical information requirements based on the perspectives of other hospital pharmacy and accounting staff.

Applications and Role of Artificial Intelligence in the Management of Cardiac Diseases: A Systematic Review of Persian Research Studies
Mozhgan Farazmand, Mandana Asgari, Hamid Bouraghi, Taleb Khodaveisi, Ali Mohammadpour, Soheila Saeedi,
Volume 19, Issue 3 (9-2025)
Abstract
Background and Aim: Cardiovascular diseases have a very high prevalence globally and are recognized as one of the main causes of mortality worldwide. Artificial intelligence, as a novel technology, has garnered attention in recent years in Iran and other parts of the world for the management of a wide variety of diseases. The present study aimed to systematically review research studies conducted in the field of applying artificial intelligence in cardiovascular diseases.
Materials and Methods: To investigate research studies conducted in the field of cardiovascular diseases utilizing artificial intelligence, the Persian language databases SID, Google Scholar, and Magiran were searched. This search was conducted without time limitations on April 3, 2024 and included all research studies that, up to this date, had used various artificial intelligence methods in the field of cardiovascular diseases in the present systematic review.
Results: The results of the search in the aforementioned three databases led to the retrieval of 17,819 research studies, of which 46 research studies met the inclusion and exclusion criteria of the study. These research studies had used artificial intelligence in three areas: prediction, treatment, and diagnosis. Neural networks (n=22), support vector machines (n=20), and decision trees (n=16) were the algorithms that were used more than other techniques. The data sources of the included research studies were mainly patient medical records and the UCI database. Additionally, MATLAB software was used more than other software. The most frequently mentioned limitations in the research studies included not considering all factors, limited access to data, insufficient data, the presence of noise in signals or images, and the presence of outliers, missing values, and non-normality of data.
Conclusion: The systematic review of research studies conducted in the field of cardiovascular diseases utilizing artificial intelligence showed that this technology has been used in a wide range of cardiovascular diseases, and most of the conducted research studies confirmed its effectiveness and successful performance.

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