Estimation of myocardial infarction death in Iran: artificial neural network.

BACKGROUND: Examining past trends and predicting the future helps policymakers to design effective interventions to deal with myocardial infarction (MI) with a clear understanding of the current and future situation. The aim of this study was to estimate the death rate due to MI in Iran by artificial neural network (ANN). METHODS: In this ecological study, the prevalence of diabetes, hypercholesterolemia over 200, hypertension, overweight and obesity were estimated for the years 2017-2025. ANN and Linear regression model were used. Also, Specialists were also asked to predict the death rate due to MI by considering the conditions of 3 conditions (optimistic, pessimistic, and probable), and the predicted process was compared with the modeling process. RESULTS: Death rate due to MI in Iran is expected to decrease on average, while there will be a significant decrease in the prevalence of hypercholesterolemia 1.031 (- 24.81, 26.88). Also, the trend of diabetes 10.48 (111.45, - 132.42), blood pressure - 110.48 (- 174.04, - 46.91) and obesity and overweight - 35.84 (- 18.66, - 5.02) are slowly increasing. MI death rate in Iran is higher in men but is decreasing on average. Experts' forecasts are different and have predicted a completely upward trend. CONCLUSION: The trend predicted by the modeling shows that the death rate due to MI will decrease in the future with a low slope. Improving the infrastructure for providing preventive services to reduce the risk factors for cardiovascular disease in the community is one of the priority measures in the current situation.

Factors affecting major depression in Iran: a mixed-method study.

Depression is a major cause of disability and, if left untreated, can increase the risk of suicide. Evidence on the determinants of depression is incomplete, making it challenging to interpret results across studies. This study aims to identify the social, economic, environmental, political, and technological factors influencing the great recession in Iran. The study was conducted in two parts. The first step involved a literature review to identify the factors, using PubMed, Scopus, and Web of Science for the search. The reference lists of all identified articles were reviewed to find relevant studies, and the extracted information was summarized and reported descriptively. The second steps involved compiling and consulting 14 experts from different fields, using a framework analysis method. Twenty-four articles were used as primary sources of information, and a total of 28 factors were found to exist. After removing duplicates and related factors, 19 of these were subsequently declared as factors, resulting in a total of 36 determinants being identified. Most of these factors belong to the social category. The health policies implemented have a significant impact on disease risk factors and ultimately their occurrence. Political decisions and policy-making processes play a crucial role in all areas, particularly in addressing disease risk factors. Severe depression can disrupt all aspects of the healthcare system, underscoring the importance of access to care. Policies concerning physical education, transportation, nutrition, employment, green spaces, recreational facilities, and tobacco are vital in this context. The influence of health policies on disease risk factors and disease occurrence is profound. Severe depression can have far-reaching effects on the healthcare system, emphasizing the critical need for access to care. The formulation of policies to combat depression must be thoroughly evaluated in terms of economic, political, social, technological, and environmental factors. The findings suggest that addressing social inequalities and emphasizing the role of political action, as highlighted by the social determinants of health, should be top priorities in addressing depression. Efforts to prevent depression should incorporate ecological approaches that consider the impact of the socioeconomic environment on depressive symptoms.

Future of myocardial infarction mortality in Iran: a scenario-based study.

This study defines futures myocardial infarction landscapes and proposes a few policy options to reduce the burden of cardiovascular diseases using the scenario development method. We identified the effective drivers of myocardial infarction by reviewing the literature and completed the returned list with "experts" opinions. The results were classified using the STEEP (Social, Technological, Environmental, Economic, and Political) framework. We plotted the critical uncertainties in a two-dimensional ranking of "effect" and "uncertainty" levels. Eleven drivers with uncertainty and high potential impact were selected and categorized into three groups: Political Development, Access to health services, and Self-Care. Scenarios were developed, and 3 scenarios (optimistic, pessimistic, and possible) were selected based on scoring. For each scenario, policy options were formulated. Utilizing the capacity of Non-Governmental Organizations and charities and strengthening restrictive and punitive legislation was chosen as policy options for addressing possible scenarios. Building infrastructure and improving prevention services, designing and regenerating curative infrastructure were selected as optimal strategies for addressing issues related to the optimistic scenario. Strengthening restrictive and punitive legislation related to community health and population empowerment were proposed as critical policy options for health improvement regarding the pessimistic scenario. Increasing people's participation, strengthening infrastructure and punitive policies can be effective in Myocardial infarction mortality prevention policies in Iran.

Social, Economic, Technological, and Environmental Factors Affecting Cardiovascular Diseases: A Systematic Review and Thematic Analysis.

Background: Today, cardiovascular disease (CVD) is the leading cause of mortality in both sexes. There are several risk factors for heart diseases; some controllable, others not. However, socioeconomic, technological, and environmental factors can impact CVD as well as exclusive risk factors. Accurate identification and assessment of these factors are often difficult. In the present systematic review, we aimed to explore factors affecting CVD. Methods: Multiple databases (MEDLINE, Scopus, ISI Web of Science, and Cochrane) and gray literature were searched. The included studies described at least one determinant of CVD. The framework method was applied to analyze the qualitative data. Results: A total of 64 studies from 26 countries were included. The contextual determinants of CVD were categorized into 45 determinants, 15 factors, and 4 main social, economic, technological, and environmental categories. The 15 potentially reversible factors were identified as sociodemographic, violence, smoking, occupation, positive childhood experience, social inequalities, psychological distress, eating habits, neighborhood, family income, rapid technology, environmental pollution, living environments, noise, and disaster. Conclusions: Devolution and more efficient health policies are required to achieve further sustained reduction in CVD mortality, increase life expectancy, and reduce its associated risk factors. Policymakers should fully address the value of social, economic, technological, and environmental factors. In fact, a prevention agenda should be developed and updated collaboratively in terms of the determinant factors.

Preventive Community-Based Strategies of Cardiovascular Diseases in Iran: A Multi-Method Study.

BACKGROUND: Community-based strategies for preventing non-communicable diseases, particularly cardiovascular diseases, are of great importance. AIMS: This study aimed to formulate a policy brief to identify and prioritize community-based strategies to prevent cardiovascular disease in Iran. METHODS: This multi-method study was conducted over three phases. In the first phase, rapid review, community-based strategies which mentioned to people's participation had been identified. PubMed and Scopus had been searched. In the second phase, a focus group discussion (FGD) was held by the participation of 15 experts from different disciplines to have been summarized and finalized the community-based strategies to prevent cardiovascular disease as policy options. Content analysis method was used. In the third phase, policy options were prioritized. In addition, the points of interest and the appropriate budget were suggested for each policy option by using the Delphi method with the participation of 15 experts. RESULTS: Community-based approach includes six strategies: engagement of non-governmental and charitable organizations, use of health marketing strategies, activating the role of community health workers, implementing of mobile health programs, social prescribing, and peripheral medicine.||| Utilizing Community health workers, using mobile health and engaging NGOs and charities were ported in higher levels. In all policy options, public-private partnership as the best investment as well as the Ministry of Health as the best focal point were proposed. CONCLUSION: Implementing multiple prevention strategies in the form of public engagement, incorporating prevention programs delivered by community health workers and increasing public-private partnership financial support may be effective in reducing cardiovascular disease.

Promoting parental education of infants hospitalized in a children's hospital in Tabriz, Iran: a best practice implementation project.

INTRODUCTION: Parents of infants admitted to hospital have high information needs. A good educational program will improve the outcomes and communication needs of these parents. Results from some studies have shown that patient education in Iran is inappropriate and should be improved. OBJECTIVES: The aim of this evidence implementation project was to evaluate the current practice and implement the best practice related to promoting patient education in a children's hospital in Tabriz, Iran. METHODS: A clinical audit was undertaken using the Joanna Briggs Institute Practical Application of Clinical Evidence System tool. Eight audit criteria that represent the best practice recommendations for patient education were used. A baseline audit was conducted followed by implementing multiple strategies, and the project was finalized with a follow-up audit to determine a change in practice. RESULTS: Significant improvements in the follow-up audit in comparison with the baseline audit were as follows: evaluation of patient learning has been undertaken to determine met and unmet needs (from 65 to 77%); patients' learning needs, readiness to learn, and their learning style have been assessed before the implementation of an educational initiative (from 55 to 66%); and educational resources in different formats (e.g., written handouts, brochures, and links to online materials) are available in the ward (from 33 to 77%). Strategies that were implemented to achieve change in practice included conducting workshops and conferences, determining a trained nurse as responsible for educating parents, training in discharge time, the presentation of educational films daily, conducting group training, and installing related posters in the department and patient's room. The other five criteria were less compliant with best practice in the follow-up audit rather than the baseline audit; however, all of them except one (Criterion 3) were still up to 75% compliant, which is considered excellent by the audit team. CONCLUSION: The follow-up audit results indicated an improvement in providing parental education. It can be concluded that these interventions can facilitate the implementation of evidence into clinical practice.

Direct and Indirect Costs Associated with Coronary Artery (Heart) Disease in Tabriz, Iran.

PURPOSE: Cardiovascular diseases (CVDs) are the major causes of mortalities worldwide. This study was conducted to evaluate the direct and indirect costs of coronary artery disease (CAD) in Iran. PATIENTS AND METHODS: This is a prevalence-based cost-of-illness (COI) study that estimates the direct and indirect costs of CAD. The study conducted over a six-month period from April to September in 2017. Patients were recruited from Madani hospital in Tabriz, Iran. A total of 379 patients were investigated from societal perspective. Direct costs were estimated using the bottom-up costing approach and indirect costs were estimated using the Human Capital (HC) approach. A generalized linear model of regression was used to explore the relation between total cost and socio-demographic variables. The total annual mean cost was compared to Gross Domestic Product (GDP) per capita which was reported in the form of Purchasing Power Parity (PPP) index. To deal with uncertainty, one-way sensitivity analysis was performed. RESULTS: Total costs per patient in one year were estimated to be IRR 63452290.17 ($PPP 7736.19) at a 95% confidence interval (58191511.73-68713068.60), the biggest part of which is related to direct medical costs with IRR 33884019.53 per year ($PPP 4131.18) (54%). Direct non-medical costs were estimated IRR 1655936.68 ($PPP 201.89) per patient (2%) and indirect costs were estimated IRR 27912333.97 per patient ($PPP 3403.11) (44%), which 62% of indirect costs is related to patients' work absenteeism. CONCLUSION: This study estimates the direct (56%) and indirect (44%) costs associated with CAD. The study explores the essential drivers of the costs and provides the magnitude of the burden in terms of the share of GDP. The outcomes can be used in priority setting, in particular for cost benefit analysis, and adopting new policies regarding insurance coverage and equity issues.

Promoting informed consent in a children's hospital in Tabriz, Iran: a best practice implementation project.

INTRODUCTION: Informed consent is a continuous and dynamic process. It is a crucial part of healthcare procedures that becomes more complex in a pediatric clinical practice, where parents must make decisions for their children. OBJECTIVES: The aim of this implementation project was to evaluate the current practice and implement the best practice related to obtaining informed consent in a children's hospital in Tabriz, Iran. METHODS: A clinical audit was undertaken using the JBI Practical Application of Clinical Evidence System (JBI PACES) tool. Five audit criteria representing the best-practice recommendations for informed consent were used. A baseline audit was conducted, followed by the implementation of multiple strategies. The project was finalized with a follow-up audit to determine change in practice. RESULTS: The compliance rate of all criteria improved from baseline to follow-up audit. Criteria 1 (obtaining informed consent prior to all nursing procedures) and 5 (provision of information related to the necessity of the treatment) reached 97% compliance in the follow-up cycle. Criterion 4 (provision of information related to the nature and effect of the treatment) achieved 74% compliance. Both criteria 2 and 3 (provision of information related to alternative treatments and consequences of refusing treatment) reached 57% in the follow-up cycle. To improve compliance, meetings were organized with the heads of departments, nurses and residents regarding informed consent. Also, staff were encouraged to report cases where informed consent was not obtained. CONCLUSION: The audit results indicated an improvement in obtaining informed consent in the included departments. The interventions that were employed can facilitate the implementation of evidence into clinical practice.