Social Accountability in Health System Governance: A Scoping Review.

Background: Social accountability is an important element in health system governance, which is necessary for health system reform and reaching Universal Health Coverage. Understanding the social accountability mechanism and tools will help policymakers to design policies according to the context. We aimed to explore the extent of the application of social accountability in health system governance, its results, challenges, and tools. Methods: We conducted a scoping review study, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for scoping review. An inclusive search in bibliographic databases and search engines was done to identify peer review articles and grey literatures, published in English in the range of 2010 to 2021. Search terms were (social accountability), (public accountability), AND (health system). Results: Thirty-one records met inclusion criteria from 286 potentially relevant sources, which included 25 peer-review articles and 6 grey literatures. Maternal and child health was the main health subject for social accountability interventions. We identified some social accountability tools to apply at the health facility and community levels. Social accountability has some benefits for the health system and for the community and some challenges to the implementation of social accountability were listed. Conclusion: Social accountability improves health system performance. It contains different tools and strategies applied at different levels of the health system. Successful social accountability initiatives that are strategic, multi-interventional, and context-specific can produce good results in health services and social domains.

The experiences and perceptions of people with chronic and rare diseases during political-economic sanctions in Iran: a qualitative study.

BACKGROUND: Economic sanctions aim to exert pressure on political and economic foundations. Hypothesizing that sanctions might affect various aspects of population health, this study, as a component of a broader investigation to ascertain the trend effects of sanctions on selected health outcomes in Iran, seeks to explore the experiences of Iranian citizens associated with the imposed sanctions. METHODS: This is a qualitative study. We conducted 31 semi-structured interviews with randomly selected patients diagnosed with at least one chronic and rare disease from diverse backgrounds across four provinces in Iran. We analyzed data using an inductive content analysis approach, facilitated by the MAXQDA10 software. RESULTS: We identified three primary themes: direct effects, side effects, and coping strategies. The immediate effects were perceived to be manifested through the restriction of healthcare service availability and affordability for citizens. The side effects included the economic hardships experienced in individuals' lives and the perceived devastation caused by these difficulties. Some coping mechanisms adopted by patients or their families/relatives included prioritizing comorbidities, prioritizing health needs within families with multiple ill members, and readjusting health/illness requirements in light of daily living needs. CONCLUSION: In addition to the inherent burden of their illness, patients faced substantial healthcare costs as a result of sanctions, restricted access to medications, and availability of low-quality medications. We advocate considering these challenges within the healthcare system resilience framework as a crucial first step for policymakers, aiming to determine actionable measures and mitigate the adverse effects of sanctions on citizens, particularly the most vulnerable groups.

Worse becomes the worst: obesity inequality, its determinants and policy options in Iran.

Background: This tracked obesity inequality and identified its determinants among the population of Iran. In addition, it examined the impact of implemented policies on these inequalities. Methods: This study was performed in two phases. First, we conducted a rapid review of the disparity in obesity prevalence in Iran. Then we investigated the main determinants of this inequality in a qualitative study. In addition, we examined Iran's policies to deal with obesity from the perspective of equality. We conducted 30 Semi-structured interviews with various obesity stakeholders selected through a purposive snowball sampling method between November 25, 2019, and August 5, 2020. In the inductive approach, we used the content analysis method based on the Corbin and Status framework to analyze the data using MAXQDA-2020. The consolidating criteria for reporting a Qualitative Study (COREQ-32) were applied to conduct and report the study. Results: Inequalities in the prevalence of obesity in terms of place of residence, gender, education, and other socioeconomic characteristics were identified in Iran. Participants believed that obesity and inequality are linked through immediate and intermediate causes. Inequality in access to healthy foods, physical activity facilities, and health care are the immediate causes of this inequality. Intermediate factors include inequality against women, children, and refugees, and inequality in access to information, education, and financial resources. Policymakers should implement equity-oriented obesity control policies such as taxing unhealthy foods, subsidizing healthy foods, providing healthy and free meals in schools, especially in disadvantaged areas, and providing nutrient-rich foods to low-income families. Also, environmental re-engineering to increase opportunities for physical activity should be considered. Of course, for the fundamental reduction of these inequalities, the comprehensive approach of all statesmen is necessary. Conclusion: Obesity inequality is a health-threatening issue in Iran that can prevent achieving human development goals. Targeting the underlying causes of obesity, including inequalities, must be considered.

Institutionalization for good governance to reach sustainable health development: a framework analysis.

BACKGROUND: This article explores the concept of institutionalization, which is the process of transforming ideas into programs and automating actions, in the context of health system governance and sustainable development. Institutionalization is a key mechanism for creating accountable and transparent institutions, which are essential for achieving health system resilience and sustainability. This study identifies the components and dimensions of institutionalization in the health system and its relationship with good governance and sustainable health development. MAIN TEXT: We applied a scoping review method in five steps. First, we formulated a question for our research. Then, we concluded a comprehensive literature search in five electronic databases for identifying relevant studies. This review has two phases: identifying the concept of institutional approach and its components in health system, and its relationship with good governance to reach Sustainable Health Development (SHD). The third step was study selection, and the 1st author performed data abstraction. The key issues which are identified in our review, related to the concepts of SDH, its goals, pillars and principles; positive peace; good governance; components of institutional approach components, and their relations. Finally, we summarized and organized our findings in a format of a proposed conceptual framework, to underpin the role of institutionalization in the health system to achieve sustainable development. CONCLUSION: Institutionalization is a key concept for achieving positive peace and good governance, which requires meaningful involvement of leaders, politicians, civil society, and public participation. It also depends on the conditions of justice, human rights, transparency, accountability and rule of law. In the wake of COVID-19, institutionalization is more crucial than ever for advancing sustainable development, especially in the context of low and middle-income countries (LMICs).

The application of artificial intelligence in health policy: a scoping review.

BACKGROUND: Policymakers require precise and in-time information to make informed decisions in complex environments such as health systems. Artificial intelligence (AI) is a novel approach that makes collecting and analyzing data in complex systems more accessible. This study highlights recent research on AI's application and capabilities in health policymaking. METHODS: We searched PubMed, Scopus, and the Web of Science databases to find relevant studies from 2000 to 2023, using the keywords "artificial intelligence" and "policymaking." We used Walt and Gilson's policy triangle framework for charting the data. RESULTS: The results revealed that using AI in health policy paved the way for novel analyses and innovative solutions for intelligent decision-making and data collection, potentially enhancing policymaking capacities, particularly in the evaluation phase. It can also be employed to create innovative agendas with fewer political constraints and greater rationality, resulting in evidence-based policies. By creating new platforms and toolkits, AI also offers the chance to make judgments based on solid facts. The majority of the proposed AI solutions for health policy aim to improve decision-making rather than replace experts. CONCLUSION: Numerous approaches exist for AI to influence the health policymaking process. Health systems can benefit from AI's potential to foster the meaningful use of evidence-based policymaking.

Assessing the Iran Health System in Making Progress towards Sustainable Development Goals (SDGs): A Comparative Panel Data Analysis.

Background: Sustainable development goals' (SDGs) analysis can be caused a better understanding of factors contributing to access to health services and help shape policies to attain health goals. This review aimed to measure and compare the SDGs between Iran and selected categories. Methods: This study was a comparative cross-sectional study. We identified indicators of health status based on the SDGs report 2019. The status of SDGs indicators was compared in Iran to four categories, including selected countries with similar social, economic, and health status, six regions of the WHO, the average of each income level group. SPSS 20 and Excel 2019 software were used for descriptive data analysis. Results: The average life expectancy and healthy life expectancy were 75.7 years and 65.4 respectively in Iran. Iran's mortality rate in indicators named road traffic (32.1 per 100000 population), suicide (4.1 per 100000 population), and unintentional poisoning (1.2 per 100000 population) were higher than most of the categories. Iran's status in morbidity indicators had an approximately lower rate than all categories. Iran had full coverage in three immunization indicators like DTP3 immunization, MCV2 immunization, and PCV3 immunization, which was higher than all categories. Coverage of UHC in Iran (65%) was near to the global average (64%) and higher than the eastern Mediterranean Region (53%). Moreover, the prevalence of tobacco smoking (10.95%) and alcohol consumption (1%) were lower than global (6.4%) and the WHO regions (1.8%) average. Conclusion: Health status measurement is a trend that requires the collection, processing, analysis, and dissemination of data by a set of indicators. There are several weaknesses in reported data in the SDGs for some indicators, the data collection process should be noticed seriously by policymakers.

Health Equity Impact Assessment (HEIA) reporting tool: developing a checklist for policymakers.

INTRODUCTION: Health Equity Impact Assessment (HEIA) is a decision support tool that shows users how a new program, policy, or innovation affects health equity in different population groups. Various HEIA reporting and dissemination tools are available, nevertheless, a practical standard tool to present the results of HEIA in an appropriate period to policymakers is lacking. This work reports the development of a tool (a checklist) for HEIA reporting at the decision-making level, aiming to promote the application of HEIA evidence for improving health equity. METHODS: This is a mixed-method study that was carried out over four stages in 2022-2023: 1) identifying HEIA models, checklists, and reporting instruments; 2) development of the initial HEIA reporting checklist; 3) checklist validation; and 4) piloting the checklist. We also analyzed the Face, CVR, and CVI validity of the tool. RESULTS: We developed the initial checklist through analysis of 53 included studies and the opinions of experts. The final checklist comprised five sections: policy introduction (eight subsections), managing the HEIA of policy (seven subsections), scope of the affected population (three subsections), HEIA results (seven subsections), and recommendations (three subsections). CONCLUSION: Needs assessment, monitoring during implementation, health impact assessment, and other tools such as monitoring outcome reports, appraisals, and checklists are all methods for assessing health equity impact. Other equity-focused indicators, such as the equity lens and equity appraisal, may have slightly different goals than the HEIA. Similarly, the formats for presenting and publishing HEIA reports might vary, depending on the target population and the importance of the report.

The Relationships between Social Capital, Metabolic, and Behavioral Risk Factors of Non-Communicable Diseases: A Systematic Review.

Background: Contextual risk factors such as social capital have a vital role in affecting behavioral and biological risk factors of NCDs. We aimed to systematically identify the relationship between different aspects of social capital (SC) with metabolic, and behavioral risk factors of non-communicable diseases (NCDs). Methods: This is a systematic review. The period of study was 2000-2021. We searched the English international databases, i.e. PubMed/Medline, Scopus, and Web of Science. Studies that reported NCDs' metabolic and behavioral risk factors as independent variables, were excluded. We also included studies if they analyzed the association between SC and metabolic and behavioral risk factors of NCDs. Results: After the primary and quality appraisal process, 97 studies were entered in the final phase of the analysis. Five out of 18 studies reported an inverse association between SC and the level of alcohol drinking. Twenty-seven out of 32 studies reported a significant inverse association between SC and smoking and tobacco use, while only one study reported a significant positive association. Nine studies reported a significant inverse association between SC and high blood pressure. Three studies showed a significant inverse association between SC and diabetes. Seventeen studies indicated a significant positive association between SC and physical activity. Thirteen out of 17 studies reported a significant inverse association between SC, body mass index (BMI) and overweight. Conclusion: High SC, people's participation and interaction are vital in tackling NCDs. Evidence shows positive effects of SC on prevention, control and improvement of NCDs' metabolic and behavioral risk factors.

The application of artificial intelligence in health financing: a scoping review.

INTRODUCTION: Artificial Intelligence (AI) represents a significant advancement in technology, and it is crucial for policymakers to incorporate AI thinking into policies and to fully explore, analyze and utilize massive data and conduct AI-related policies. AI has the potential to optimize healthcare financing systems. This study provides an overview of the AI application domains in healthcare financing. METHOD: We conducted a scoping review in six steps: formulating research questions, identifying relevant studies by conducting a comprehensive literature search using appropriate keywords, screening titles and abstracts for relevance, reviewing full texts of relevant articles, charting extracted data, and compiling and summarizing findings. Specifically, the research question sought to identify the applications of artificial intelligence in health financing supported by the published literature and explore potential future applications. PubMed, Scopus, and Web of Science databases were searched between 2000 and 2023. RESULTS: We discovered that AI has a significant impact on various aspects of health financing, such as governance, revenue raising, pooling, and strategic purchasing. We provide evidence-based recommendations for establishing and improving the health financing system based on AI. CONCLUSIONS: To ensure that vulnerable groups face minimum challenges and benefit from improved health financing, we urge national and international institutions worldwide to use and adopt AI tools and applications.

Child mortality inequalities and socioeconomic determinants of health in Iran, 2016-2018.

Measuring health inequalities is essential to inform policy making and for monitoring implementation to reduce avoidable and unfair differences in health status. We conducted a geospatial analysis of child mortality in Iran using death records from the Ministry of Health and Medical Education from 2016 to 2018 stratified by sex, age, province, and district, and household expenditure and income survey data from the Statistical Center of Iran collected in 2017. We applied multilevel mixed-effect models and detected significant inequality in child mortality and the impact of socioeconomic factors, especially household income. We advocate for using mortality rate for young children (< 5 years old) as an indicator for assessing the impact of interventions to reduce inequalities among various socioeconomic groups. We also recommend to design and implement comprehensive and longitudinal data collection systems for accurate, regular, and specific monitoring of health inequalities.

Research agenda for using artificial intelligence in health governance: interpretive scoping review and framework.

BACKGROUND: The governance of health systems is complex in nature due to several intertwined and multi-dimensional factors contributing to it. Recent challenges of health systems reflect the need for innovative approaches that can minimize adverse consequences of policies. Hence, there is compelling evidence of a distinct outlook on the health ecosystem using artificial intelligence (AI). Therefore, this study aimed to investigate the roles of AI and its applications in health system governance through an interpretive scoping review of current evidence. METHOD: This study intended to offer a research agenda and framework for the applications of AI in health systems governance. To include shreds of evidence with a greater focus on the application of AI in health governance from different perspectives, we searched the published literature from 2000 to 2023 through PubMed, Scopus, and Web of Science Databases. RESULTS: Our findings showed that integrating AI capabilities into health systems governance has the potential to influence three cardinal dimensions of health. These include social determinants of health, elements of governance, and health system tasks and goals. AI paves the way for strengthening the health system's governance through various aspects, i.e., intelligence innovations, flexible boundaries, multidimensional analysis, new insights, and cognition modifications to the health ecosystem area. CONCLUSION: AI is expected to be seen as a tool with new applications and capabilities, with the potential to change each component of governance in the health ecosystem, which can eventually help achieve health-related goals.

Health System Response to Refugees' and Migrants' Health in Iran: A Strengths, Weaknesses, Opportunities, and Threats Analysis and Policy Recommendations.

Objective: Iran is one of the main hosts of Afghan refugees. This study aims to provide comprehensive evidence to increase Afghan migrants' access to healthcare services in Iran. Methods: To assess the health system's response to Afghan migrants in Iran, we conducted three phases for SWOT analysis, including: 1-developing a review and comprehensive analysis of documents, laws, and, programs, 2-conducting semi-structured interviews with policymakers and experts, and 3-mapping the results through the Levesque's conceptual framework for healthcare access. Results: We evaluated the response of the health system to Afghan migrants' health needs in three domains: 1-Approachability and ability to perceive migrants; 2-Ability to reach, engage, and availability and accommodation and appropriateness; 3-The ability to pay and affordability. For each of the three domains, we identified strengths, weaknesses, opportunities, and threats, complemented with evidence-based suggestions to improve migrants' access to needed healthcare services. Conclusion: Given the rising trend of immigration and deteriorating financial crises, we recommend appropriate strategies for the adoption of specialized focus services, gateway services, and restricted services. Also simplifying financial procedures, and implementing innovative insurance mechanisms are essential.

Risk of incident cardiovascular diseases at national and subnational levels in Iran from 2000 to 2016 and projection through 2030: Insights from Iran STEPS surveys.

BACKGROUND: Cardiovascular Disease (CVD) is the leading cause of death in developing countries. CVD risk stratification guides the health policy to make evidence-based decisions. AIM: To provide current picture and future trend of CVD risk in the adult Iranian population. METHODS: Nationally representative datasets of 2005, 2006, 2007, 2008, 2009, 2011, and 2016 STEPwise approach to non-communicable diseases risk factor surveillance (STEPS) studies were used to generate the 10-year and 30-year risks of CVD based on Framingham, Globorisk, and World Health Organization (WHO) risk estimation models. Trend of CVD risk was calculated from 2000 until 2016 and projected to 2030. RESULTS: In 2016, based on Framingham model, 14.0% of the Iranian, aged 30 to 74, were at great risk (≥20%) of CVD in the next 10 years (8.0% among females, 20.7% among males). Among those aged 25 to 59, 12.7% had ≥45% risk of CVD in the coming 30 years (9.2% among females, 16.6 among males). In 2016, CVD risk was higher among urban area inhabitants. Age-standardized Framingham 10-year CVD risk will increase 32.2% and 19%, from 2000 to 2030, in females and males, respectively. Eastern provinces had the lowest and northern provinces had the greatest risk. CONCLUSIONS: This study projected that CVD risk has increased from 2000 to 2016 in Iran. Without further risk factor modification, this trend will continue until 2030. We have identified populations at higher risks of CVD to guide future intervention.

Developing an organizational capacity assessment tool and capacity-building package for the National Center for Prevention and Control of Noncommunicable Diseases in Iran.

Non-communicable diseases represent 71% of all deaths worldwide. In 2015, Sustainable Development Goals, including target 3.4 of SDGs, were seated on the world agenda; "By 2030, reduce premature mortality from NCDs by one-third. More than half of the world's countries are not on track to reach SDG 3.4, and the COVID-19 crisis has hampered the delivery of essential NCD services globally, which means the premature death of millions of people and indicates the need for capacity building for health systems. We designed a tool to measure the capacity of the National Center for Non-Communicable Disease and then presented the proposed policy package to enhance the national center's organizational capacity. The data for this explanatory sequential mixed method study was collected using quantitative and qualitative approaches between February 2020 and December 2021. The tool for assessing organizational capacity for NCDs was developed, and its validity and reliability were measured. The developed tool assessed the organizational capacity by evaluating NCNCD's managers and experts. Following the quantitative phase, a qualitative phase focused on the low-capacity points revealed by the tool. The causes of low capacity were investigated, as well as potential interventions to improve capacity. The developed tool comprises six main domains and eighteen subdomains, including (Governance, Organizational Management, Human Resources Management, Financial Management, Program Management, and Relations Management) which verified validity and reliability. In seven separate National Center for Non-Communicable Disease units, the organizational capacity was measured using the designed tool. (Cardiovascular disease and hypertension; diabetes; chronic respiratory disease; obesity and physical activity; tobacco and alcohol; nutrition; and cancers). The organizational management dimensions and the sub-dimensions of the organizational structure of the Ministry of Health and Medical Education and units affiliated with the national center, in all cases, were almost one of the main challenges that affected the country's capacity to fight against NCDs. However, all units had a relatively good situation in terms of governance (mission statement, vision, and written strategic plan). The content analysis of experts' opinions on the low-capacity subdomains highlighted challenges and recommended capacity-building interventions. Transparency in methods and processes is necessary to allocate funding among various health programs and evaluate their effects through cost-effectiveness indicators. This study identified weak points or areas where capacity building is required. The root causes of low capacity and interventions to build capacity are listed in each dimension of the tool. Some of the proposed interventions, such as strengthening organizational structures, have the potential to impact other domains. Improving organizational capacity for NCDs can assist countries to achieve national and global goals with greater efficiency.

Participatory evaluation of municipal obesity prevention clubs in Tehran city: Strengths, challenges, and future direction.

Background and aim: Community-based initiatives are important for obesity prevention. This study aimed to evaluate the activities of municipal obesity prevention clubs (OBCs) in Tehran, Iran, using a participatory approach. Methods: The evaluation team was formed, and the members identified the OBC's strengths, and challenges and provided suggestions for change through a participatory workshop, observation, focus group discussions, reviewing relevant documents (n = 97), and 35 interviews with involved stakeholders. The MAXQDA software was used for data analysis. Results: An empowerment training program for volunteers was identified as one of the strengths of OBCs. Despite the obesity prevention efforts of OBCs through public exercise sessions, healthy food festivals, and educational sessions, several challenges were identified that hinder participation in OBCs. These challenges included poor marketing strategies, poor training approaches in participatory planning, insufficient motivational support for volunteers, low perceived recognition of volunteers by the community, volunteers' low food and nutrition literacy, poor educational services in the communities, and limited funding for health promotion activities. Conclusion: Weaknesses in all stages of community participation, including information, consultation, collaboration, and empowerment, in OBCs were detected. Facilitating a more enabling environment for informing and involving citizens, expanding neighborhood social capital, and involving health volunteers, academia, and all potential governmental sectors to collaborate for obesity prevention is recommended.

Assessing the design of road traffic death information systems in Iran: A participatory systems approach.

AIM: To describe and analyze the information architecture and information pathways of the road traffic death recording, registration and reporting system in Guilan Province, northernIran. METHODS: We used Business Process Mapping, a qualitative approach. This participatory and iterative approach consists of a document review, key informant interviews, development of a process map and a participatory workshop with key stakeholders to illuminate and validate the findings. We classified the tasks performed in the system into three phases: (1) Identification and recording; (2) Notification and registration, and (3) Production of statistics. RESULTS: We identified 13 stakeholders, with operating and influencing roles in the process of identification, registration and production of statistics about road traffic deaths in Guilan province. The three main sources of road traffic death statistics are the Ministry of Health and Medical Education, the National Organization for Civil Registration and the Forensic Medicine Organization. Our results reveal a highly fragmented system with minimal cross-sectoral data exchange. Each stakeholder operates in a silo resulting in delays and redundancies in the operating system. In the absence of an effective communication among stakeholders, the information exchange was dependent on the family of the deceased. These fragmented information silos alter the compilation of cause of death statistics and result in under-reporting and discrepancies in road traffic deaths figures. CONCLUSIONS: Designing a comprehensive road traffic information system that provides accurate and timely information requires an understanding of the information flow and the entangled web of different stakeholders operating in the system. Participatory systems approaches such as process mapping can assist in capturing the complexity of the system and the integration process by facilitating stakeholders' engagement and ownership in improving the design of the system.

The lessons of COVID-19 pandemic for communicable diseases surveillance system in Kurdistan Region of Iraq.

Objectives: This study aimed to determine the opportunities of and barriers to communicable diseases surveillance system (CDSS) during the COVID-19 pandemic and the extent to which the disease integrated into the CDSS in the Kurdistan region of Iraq. Study design: A descriptive qualitative approach was applied. Methods: We conducted seven semi-structured interviews and seven interviewee in a focus group discussion (FGD) with purposefully identified Key Informants (KI) from June to December 2020. All interviews were digitally recorded and transcribed verbatim. We adopted a mixed deductive-inductive approach for thematic data analysis, facilitated by using MAXQDA20 software for data management. Results: Although the CDSS was considered appropriate and flexible, the COVID-19 was interpreted not to be integrated into the system due to political influence. The main concerns regarding core and support activities were the lack of epidemic preparedness, timeliness, and partial cessation of training and supervision during the pandemic. The existence of reasonable surveillance infrastructure, i.e., trained staff, was identified as an opportunity for improvement. The main challenges include staff deficiency, absence of motivation and financial support for present staff, scarce logistics, managerial and administrative issues, and lack of cooperation, particularly among stakeholders and surveillance staff. Conclusion: Our findings revealed that the CDSS in the Kurdistan region requires substantial enhancement in epidemic preparedness, strengthening human resources, and logistics. the system can be developed by fostering meaningful intersectoral collaboration. We advocate that the health authorities and policy-makers prioritise the surveillance and effective management of communicable diseases.

The health system barriers to a healthy diet in Iran.

BACKGROUND: Decreasing calories, salt, sugar and fat intake is considered the golden solution to reduce obesity and cardiovascular diseases (CVDs) related to unhealthy diet. This study aimed to investigate the health system induced barriers to a healthy diet in Iran. METHODS: This is a qualitative health policy analysis. We collected data through 30 semi-structured, face-to-face interviews with purposefully identified experts, including policy-makers, top-level managers and related stakeholders. All interviews were transcribed verbatim, and analyzed with qualitative content analysis, facilitated by MAXQDA 11 software. RESULTS: We identified six categories of barriers: structural problems within the Ministry of Health and Medical Education (MoHME), i.e. Supreme Council of Health and Food Security (SCHFS); the MoHME's inadequate stewardship of public health, the short life of the deputy of social affairs within the MoHME and its possible impact on the National Health Assembly; inefficient traffic lights labelling for foods; lack of adequate policies and guidelines for monitoring restaurants and fast foods and insufficient incentive policies for the food industry. CONCLUSION: In line with the World Health Organization (WHO) Global Action Plan, in 2015, Iran defined its roadmap for prevention and control of NCDs, i.e. some nutritional interventions. However, different stakeholders including MoHME and other sectors need to provide series of interventions to change people's approach about food choice so that they might reduce the consumption of foods with excessive salt, fat and sugar.

Economic barriers and gaps to reach the desirable consumption of salt, sugar, and fat in Iran: a qualitative study.

BACKGROUND: Non-communicable diseases (NCDs), also known as chronic diseases, specifically cardiovascular diseases (CVD), cancers, respiratory diseases, and diabetes are the main reason for more than two-thirds of global deaths, in which the unhealthy diet is one of the primary risk factors. The golden solution to reducing obesity and CVD linked to an unhealthy diet is to reduce calories, salt, sugar, and fat intake. Besides, activities highlighting lifestyles that contain healthy diets usually focus on reducing salt, sugar, and saturated fat consumption. As a result, the researchers aimed to study the gaps and economic barriers to recommended consumption of salt, sugar, and fat in Iran, based on WHO recommendations. METHODS: This is a qualitative study. We conducted semi-structured and in-depth interviews with 30 stakeholders, including academics, experts, and key informants in different sectors from December 2018 until August 2019 in Tehran, Iran. We used a purposeful and snowball sampling method to select participants. All interviews were transcribed verbatim and thematically analyzed using MAXQDA 11. RESULTS: Economic problems and inflation in Iran caused people to eat more unhealthy foods, while a healthy diet consumption was reduced due to higher prices. Unfair political sanctions imposed on the country caused economic pressure and adversely affected family nutrition. Worse still, despite legal bans, advertising unhealthy foods via media, mainly to generate revenue, encouraged more consumption of unhealthy food. The lack of targeted subsidies and failure in tax legislation and implementation related to the unhealthy products deteriorated the conditions. CONCLUSION: Some economic barriers have hampered plans to reduce salt, fat, and sugar consumption in Iran. Fundamental reforms in the tax and subsidy system are required to improve people's eating habits. In particular, citizens' income that has been continuously shrinking due to economic conditions, imposed sanctions, and the inevitably high inflation needs to be addressed urgently. Unless the government of Iran deals with the economic barriers to healthy nutrition, the pathway for implementing the national action plan for prevention and control of NCDs toward a 30% mortality reduction due to NCDs by 2030 looks unlikely to reach.