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Mahmoud Radwan,1 Ali Akbari Sari,1 Arash Rashidian,1 Amirhossein Takian,1 Sanaa Abou-Dagga,2 Aymen Elsous1 1Department of Health Management and Economics, School of Public Health, International Campus, Tehran University of Medical Sciences, Tehran, Iran; 2Department of Research Affairs and Graduates Studies, Islamic University of Gaza, Gaza Strip, Palestine Background: Diabetes mellitus (DM) is a serious chronic disease and an important public health issue. This study aimed to identify the predominant culture within the Palestinian Primary Healthcare Centers of the Ministry of Health (PHC-MoH) and the Primary Healthcare Centers of the United Nations Relief and Works Agency for Palestine Refugees (PHC-UNRWA) by using the competing values framework (CVF) and examining its influence on the adherence to the Clinical Practice Guideline (CPG) for DM.Methods: A cross-sectional design was employed with a census sample of all the Palestinian family doctors and nurses (n=323) who work within 71 PHC clinic. A cross-cultural adaptation framework was followed to develop the Arabic version of the CVF questionnaire. Results: The overall adherence level to the diabetic guideline was disappointingly suboptimal (51.5%, p

Abstract Background Formal evidence regarding the effects of sanctions on population health status and the health system is scarse in Iran. Given the intricate and multifaceted nature of sanctions, a nuanced understanding of their impact is imperative. We aimed to investigate the magnitude and effects of sanctions on population health and healthcare system during the last two decades in Iran. Design This is a mixed-methods research. We quantified the impact of sanctions using 28 indicators, i.e. macroeconomic, healthcare resources and health outcomes indicators from 2000 to 2020. The concurrent qualitative study aimed to explore the pathway of the effect by considering perceptions of both patients and health policy makers towards sanctions; Interview data was analyzed using content analysis. Setting This study was conducted in Iran at both national and sub-national levels. Results Our findings revealed that the trend of 11 indicators (39.2%) had changed after the change point in 2009; four indicators (14.2%) significantly deteriorated after the change point. Further, five indicators revealed significant increases during the sanctions period: Out-of-Pocket payment (OOP), household expenditure on food and mortality rates due to Chronic Obstructive Pulmonary Disease (COPD), thalassemia and hypertension. Our qualitative analysis revealed that patients identified availability, cost and quality of medicines and healthcare services as the most significant challenges that compromised population’s health. From the policy makers’ perspective, the effect of sanctions on health system functions and infrastructures, i.e. economic, political, social, educational and research had significant repercussions on population health. Conclusion We could not find compelling evidence to establish significant associations between the imposition of sanctions and the trend of population health. Nevertheless, our qualitative study revealed people’s deteriorating life experiences, e.g. increasing catastrophic health expenditure, limited access to necessary medicine, medical equipment, procedures and interventions, imposed by sanctions, with ultimate reducing impact on the overall quality of life. It seems that sanctions have negatively affected financial and physical access to medication and healthcare services. Nonetheless, Iran has demonstrated remarkable resilience against their highly detrimental effects, maybe due to its established economic infrastructure and healthcare system.

Abstract Background While evidence of efficacy, safety, and technical feasibility is crucial when introducing a vaccine, it is equally important to consider the psychological, social, and political factors influencing vaccine acceptance. This study aims to identify the factors contributing to COVID-19 vaccine hesitancy among adults in Tehran, Iran. Methods The study employed a descriptive and analytical cross-sectional design carried out from 2021 to 2022. It involved 260 eligible individuals residing in the catchment areas of Tehran and Shahid Beheshti Universities of Medical Sciences who declined to receive the COVID-19 vaccine, selected through systematic sampling. Data collection was accomplished through a researcher-developed questionnaire and analyzed using SPSS 26 software. The analysis utilized descriptive statistics and non-parametric tests including Mann-Whitney U, Kruskal-Wallis, and Multiple Linear Regression, to examine the relationships between variables. Results The average scores (SD) across dimensions were as follows: the individual’s health status and perceived risk, 15.53 (1.70); contextual and social effects, 17.68 (2.53); awareness, 14.81 (2.34); and beliefs and concerns. 14.91 (2.64), indicating a concerning situation regarding contextual and social impacts and a moderate status as to other areas. The primary reasons for vaccine refusal included fear, lack of belief in the vaccine, concerns about its reliability, illness, and lack of access or time. Acceptance of the vaccine was associated with education, occupation, marital status, number of children at home, and income reduction due to COVID-19. Conclusion The findings indicate that fear, lack of belief in the vaccine, concerns regarding its reliability, illness, and lack of access or time were the most important factors influencing reluctance to receive the vaccine. Health organizations should consider these factors when encouraging the population to receive the COVID-19 vaccine.

Abstract Background Enhancing efficiency is crucial in addressing the escalating scarcity of healthcare resources. It plays a pivotal role in achieving Universal Health Coverage (UHC), with the ultimate goal of ensuring health equity for all. A fundamental strategy to bolster efficiency involves pinpointing the underlying causes of inefficiency within the healthcare system through empirical research. This study aimed to determine and prioritize the causes of inefficiency in Iran’s health system. Methods This mixed-method study comprised three phases. The initial phase involved identifying the causes of inefficiency through a comprehensive literature review of relevant studies published between January 1, 2010, to January 1, 2021. The causes were then aligned and prioritized using criteria derived from the literature and expert opinion. Finally, the identified causes were ranked based on their significance using Multiple-Criteria Decision Analysis (MCDA). Results From an initial pool of 307 causes of inefficiency, they were reduced to 121 causes in the first round of screening which were categorized into 13 thematic topics. The second screening process further narrowed the list to 48 causes. Among these, the leading causes of inefficiency included the inadequate supply and unequal distribution of hospital beds, the overuse of health services, and the mismanagement of the health workforce. In contrast, the use of traditional treatment methods was determined to be the least significant factor contributing to inefficiency. Conclusion This study identified key inefficiencies in Iran’s health system, such as resource misallocation, overuse of services, and workforce mismanagement. Addressing these issues is essential for optimizing resource utilization, enhancing service delivery, and achieving UHC. The findings suggest that policymakers should prioritize reforms in hospital bed distribution, implement strategies to reduce unnecessary health service use, and strengthen human resource management. Additionally, targeted policies that focus on decentralizing healthcare decision-making and enhancing primary care could significantly improve system-wide efficiency. Future research should evaluate the effectiveness of these interventions and explore the role of digital health solutions in mitigating identified inefficiencies.

Objective The global demand for assistive technology (AT) is extensive, with over 2.5 billion people requiring one or more assistive devices. This number is expected to increase to 3.5 billion by 2050. AT empowers individuals to enjoy a healthy, productive, and independent life. It has become a global priority, recognizing the importance of improving access to AT for those in need. Accurate measurement of the demand and accessibility of these technologies is crucial for effective action in this area. The World Health Organization (WHO) has developed the rapid assistive technology assessment tool (rATA) to address this need. This tool serves to measure the utilization and requirement of AT among populations. This study aims to introduce and explain the steps taken to translate the rATA tool and examine its face validity in Iran. Materials & Methods After receiving authorization from WHO, the English version of rATA was translated into Persian by two proficient experts in rehabilitation. Subsequently, a backward translation was conducted by two experts who were fluent in both Persian and English. Following a consensus on the resulting version, an expert panel comprising seven professionals in rehabilitation and health was established to validate the face validity of the Persian version. Necessary modifications were implemented based on their feedback and approval. Results The Persian version of the rATA consists of seven sections and 42 questions. These sections include preliminary information/administrative survey data, demographics, AT need assessment, supply and demand, satisfaction, recommendations, surveyor’s comments, and post-survey administration. As per the expert committee’s decision, an additional question was incorporated into the preliminary information section, and the answer choices now include an option for further AT providers. Conclusion The Persian version of the rATA serves as a valuable tool for gathering data on the demand and accessibility of AT within the Iranian context. These data can aid decision-makers and policymakers in devising strategies to enhance access to AT, ultimately contributing to the goal of achieving universal health coverage. Furthermore, due to its potential for global applicability, the rATA questionnaire can be utilized for inter-country comparisons, providing insights into Iran’s status regarding access to AT. Additionally, it can serve as a reliable platform for policy learning, facilitating the exchange of reliable and evidence-based policies among different countries.

Abstract Maternal obesity rates are increasing significantly, posing substantial risks to both mothers and their children. This study aims to introduce health policies addressing maternal obesity, identify preventive interventions, and highlight scientific gaps necessitating further research. We identified documents through electronic searches in PubMed, CINAHL Plus, EMBASE, and grey literature sources (ministry of health websites, national gynecology and obstetrics associations) from January 2013 to August 2023, updated in June 2024. The inclusion criteria focused on English-language documents discussing interventions or health policies that promote weight loss through lifestyle changes during pregnancy. A total of 22 documents (10 studies and 12 guidelines) were included. 12 studies (N=1244) identified via databases; included two Clinical Practice Guidelines (CPGs) from Canada and Singapore. Other 10 CPGs sourced from governmental websites and national associations: England (1), Australia (1), New Zealand (1), combined Australia and New Zealand (1), Canada (3), USA (1), Ireland (1), Germany (1). 10 guidelines focused on obesity in pregnancy, two on weight management during pregnancy. Covered interventions across pre-pregnancy, pregnancy, and postpartum periods (9 guidelines); pre-pregnancy and pregnancy (2); exclusively postpartum (1). Seven guidelines offered evidence-based recommendations on maintaining healthy weight in mothers, largely based on expert opinions. Maternal obesity poses significant risks to both mothers and children, underscoring the need for effective health policies and systems. However, few countries have integrated adequate responses into their healthcare policies and guidelines for professionals. Limited evidence exists on optimal practices to improve reproductive health outcomes in obese women. Hence, the crucial need to developing comprehensive guidelines and proactive strategies to manage maternal obesity. These measures can improve outcomes and reduce healthcare costs. Increased focus on research and policymaking is essential to protect the health of mothers and their children.

Abstract Background In light of the multi-faceted challenges confronting health systems worldwide and the imperative to advance towards development goals, the contribution of health policy graduates is of paramount importance, facilitating the attainment of health and well-being objectives. This paper delineates a set of core skills and competencies that are requisite for health policy graduates, with the objective of preparing these graduates for a spectrum of future roles, including both academic and non-academic positions. Methods The study was conducted in three phases: a scoping review, qualitative interviews and the validation of identified competencies through brainstorming with experts. In the initial phase, a scoping review was conducted on the databases. The following databases were searched: PubMed, Scopus, Web of Science and Google Scholar search engine. Additionally, the WebPages of universities offering health policy programmes were manually searched. In the second phase, 36 semi-structured interviews were conducted with students, graduates and distinguished academics from Iran and other countries. These interviews were conducted in person or via email. In the third phase, the draft version of the competencies and their associated learning objectives, derived from the preceding stages, was subjected to independent review by an expert panel and subsequently discussed. In light of the expert panel’s findings, the authors undertook a subsequent revision of the list, leading to the finalization of the core competencies through a process of consensus. Results In the scoping review phase, the analysis included six studies and nine university curricula. The results of the scoping review could be classified into five domains: health system understanding, health policy research, knowledge translation, multidisciplinary work and knowledge of public health. In the second phase, six core competencies were extracted from the interviews and combined with the results of the first phase, which were then discussed by the expert panel at the third phase. The final five core competencies, derived from the brainstorming session and presented in no particular order, encompass health policy research, policy analysis, educational competencies, decision-making and multidisciplinary work. Conclusions It is essential that the curriculum is appropriate and contextually tailored, as this is crucial to foster multi-dimensional competencies that complement the specific disciplines of future health policy scholars. These scholars must possess the ability to genuinely serve their health systems towards achieving health-system goals and sustainable development.

Abstract Background As a newly emerged concept and a product of the twenty-first century, health information governance is expanding at a rapid rate. The necessity of information governance in the healthcare industry is evident, given the significance of health information and the current need to manage it. The objective of the present scoping review is to identify the dimensions and components of health information governance to discover how these factors impact the enhancement of healthcare systems and services. Methods PubMed, Scopus, Web of Science, ProQuest and the Google Scholar search engine were searched from inception to June 2024. Methodological study quality was assessed using CASP checklists for selected documents. Endnote 20 was utilized to select and review articles and manage references, and MAXQDA 2020 was used for content analysis. Results A total of 37 documents, including 18 review, 9 qualitative and 10 mixed-method studies, were identified by literature search. Based on the findings, six core categories (including health information governance goals, advantages and applications, principles, components or elements, roles and responsibilities and processes) and 48 subcategories were identified to form a unified general framework comprising all extracted dimensions and components. Conclusions Based on the findings of this scoping review, health information governance should be regarded as a necessity in the health systems of various countries to improve and achieve their goals, particularly in developing and underdeveloped countries. Moreover, in light of the undesirable effects of the coronavirus disease 2019 (COVID-19) pandemic in various countries, the development and implementation of health information governance models at organizational, national and international levels are among the pressing concerns. Researchers can use the present findings as a comprehensive model for developing health information governance models. A possible limitation of this study is our limited access to some databases.

Abstract Background Smuggling health goods given the importance and critical nature of health services should be undeniably addressed and controlled by all countries. This issue is especially more widespread in developing countries with more damaging consequences. This paper therefore aims to identify and analyze the challenges of preventing smuggling of health goods in Iran. Method Within this qualitative study, we conducted face-to-face, semi-structured interviews with 30 purposefully recruited key informants and stakeholders in the detection, prevention, and combating of health goods smuggling. Each interview was analyzed thematically, using an inductive approach to generate codes, then categorized and presented in the form of main themes and sub-themes. Maxqda 11 assisted in coding, analysis, and data management. Results Three main themes emerged representing the challenges of prevention of smuggling in Iran in the areas of anti-smuggling policy development, including categories of inefficient policy and plan, and failure to reach agenda; policy implementation; categorized into actors, resources and instruments, and implementation guarantee; and finally monitoring and evaluation; including, procedures and practices, and the role of surveyors. Conclusion Prevention of smuggling health goods proves to be a highly complex, challenging, and multi-faceted practice. Therefore, strengthening policy-making, regulatory frameworks, and facilitation functions about smuggling, counterfeiting, and corruption should be promoted in parallel.

Objective According to the World Health Organization (WHO), more than 1 billion people (approximately 15% of world population) live with disability. Also, about half of these people lack access to healthcare facilities. Therefore, providing timely healthcare services, especially rehabilitation, is of great significance for these people. The goal of the study was to determine the objectives and policies in the field of rehabilitation in middle- and high-income countries and compare them with Iran. Materials & Methods Based on available databases, a comprehensive review of documents, papers, and books was performed in the field of rehabilitation related to high- and middle-income countries. Results Due to a lack of coordinated services, inappropriate access, unplanned distribution, unclear service delivery levels, neglect of health promotion and prevention levels, lack of a transparent referral system, unclear insurance system, and weak financial resources, the need for a national program with a service integration approach is strongly felt. The review of the rehabilitation programs and documents in other countries help us to design a conceptual framework of the rehabilitation service model, which is based on three principles: Removing barriers and developing access to healthcare services and programs; strengthening and developing rehabilitation using technology, community-based support, and rehabilitation services; and promoting comparable international data collection on disability and supporting research on disability and related rehabilitation services. Conclusion The national rehabilitation program, with a service integration approach, provides a good platform for fair access to rehabilitation services for all people with disability. In this program, the health system is the most important reference to meet these needs. Therefore, it is suggested that this program pursue three main objectives: Fair promotion of the healthcare services of rehabilitation for recipients, improving the response to the needs of rehabilitation service recipients, and reducing the financial and social risks of service recipients.

Abstract 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.

Abstract 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).

Background: There are substantial differences in the health outcomes across countries. Then, assessment of the status of health indicators can give us a valuable information to adjust policies to improve the health status in the world. This paper examines differences and relationships of health status and contextual factors.Methods: This is a multi-country cross-sectional study performed using secondary data of different sources in 2019. We identified indicators that revealed the relationships of health status and health coverage and also contextual factors by expert panel which consist of two categories of indicators: (1) producing health indicators as dependent variables (Life expectancy, Healthy life expectancy, Maternal mortality ratio, Under-five mortality rate and Universal Health Coverage (UHC) service coverage indicator); (2) contextual indicators as independent variables (Current Health Expenditure, Skilled health professionals density, Population density and Government Type). Also, countries were categorized based on the income level and six regions of World Health Organization (WHO). We used SPSS 20 software for a descriptive analysis and R 2018 software for statistical analysis and also drawing of scatter charts.Results: Results showed a considerable gap between the average of life expectancy (84.2 vs. 53 years) and healthy life expectancy rate (72-63.3 years). This disparity was observed in the Maternal mortality and Under-5 mortality rate (from 882 to 3 per 100000 live births), (5 is 2.1 and the highest is 127.3). Although there was a marginal correlation between population density indicator and life expectancy, healthy life expectancy, and under-5 mortality rate indicators (±0.2), there was no correlation between population density and maternal mortality rate with UHC (P>0.05).Conclusion: There is a considerable difference between countries in producing health indicators based on contextual indicators; a comprehensive health system approach that can result in improvement in the health outcome.

Objectives This study aimed to identify the types of transparency interventions in the health systems of the low-income and middle-income countries and the outcomes of such interventions in those systems.Method We searched major medical databases including PubMed, Embase and Scopus, for any kind of interventional study on transparency in health systems. We also looked for additional sources of information in organisational websites, grey literature and reference checking. Using the PRISMA algorithm for identifying related studies, we included 24 articles.Results Our initial search, from 1980 to August 2021, retrieved 407 articles, 24 of which were narratively analysed. Response to a problem (mostly corruption) was the main reason for the initiation of a transparency intervention. Transparency interventions differed in terms of types, performance methods, collaboration partners and outcomes. They help improve the health system mostly in the short term and in some cases, long term.Conclusion Although our findings revealed that transparency initiatives could reduce some problems such as counterfeit drugs and corruption, and improve health indicators in a short term, still their sustainability remains a concern. Health systems need robust interventions with clearly defined and measured outcomes, especially sustainable outcomes to tackle corruption fundamentally.

Introduction In recent years, smuggling of health goods has apparently increased in the country. Despite the preventive and regulatory measures taken to combat this problem, the outcomes seem to be undesirable. This study thus aims to identify and elucidate the role of economic barriers in the prevention of smuggling health goods in Iran.Method We conducted semistructured interviews with 29 purposefully identified key informants in the detection, prevention and control of health goods smuggling in different organisations, between May 2021–January 2022. An inductive data-driven thematic analysis approach was further adopted to identify patterns of meaning, using MAXQDA 2020 software to facilitate data management.Results We identified four main themes representing the economic barriers to prevent the smuggling of health goods in Iran; Monetary and financial policy, which includes subthemes of financial rules and procedures, market regulation, economic incentives and imbalanced development; Behavioural patterns, consisting of consumer behaviour, the opportunism of smugglers, the behaviour of statesmen and politicians; Economic diplomacy, categorised into international relations and interactions, relations and interactions in the national arena, interaction with non-governmental organisations and Health economic monitoring and evaluation including transparency of statistics and economic information and supervision.Conclusion Smuggling health goods has become a concerning challenge in the health sector. It is, therefore, imperative to develop and implement appropriate policies and operations towards security and international cooperation, lobbying and coalition-building. Demonopolisation, creating competitive and dynamic markets, removal of rent-seeking layers at all levels, and the use of commercial diplomacy to reduce the burden of smuggling in the health sector of Iran, and perhaps beyond might be of sizeable use to combat such challenge.

Abstract 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.

Abstract 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.

Abstract 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.

Abstract 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.

Background: In pursuing improving healthcare quality and enhancing efficiency, public hospitals in Iran have undergone numerous reforms over the past two decades. This study aimed to assess the efficiency of all public hospitals in Iran from 2012 to 2016.Methods: This study was conducted as a quantitative and descriptive-analytical research project. The authors employed an innovative approach called Extended Data Envelopment Analysis (Extended-DEA), a modification of conventional DEA, to assess the technical efficiency and productivity of 568 public hospitals. They obtained nationally representative data from official annual health reports. The data were analyzed using GAMS software version 24.3.Results: The study found that the average efficiency score for all hospitals was 0.733. Among all the hospitals, 10.1% were deemed efficient, while 2.68% had low-efficiency scores below 0.2. The Malmquist Productivity Index (MPI) showed improvement in 49.3% of hospitals and remained unchanged at 2.3%. In comparison, 48.2% of hospitals experienced a regression in productivity from 2015 to 2016. On average, the MPI was 1.07 throughout the analysis.Conclusion: The findings of this study suggest that there is a need for increased efforts to improve the efficient utilization of resources in public hospitals. It highlights the importance of developing appropriate policy solutions and tools to address these efficiency challenges. In particular, one proposed strategy is the merger of small-sized district hospitals to establish larger and more efficient hospitals in different geographical regions across the country.

Background & aim: Given recent demographic changes, Iran has revised its reproductive health (RH) programs. To respond to the need for monitoring the new programs and policies, this study aimed to identify appropriate indicators for RH and population programs monitoring in the Iranian context.Methods: A mixed-methods approach was applied which was conducted in four phases: identification of goals of RH policies and programs, a scoping review of the RH indicators, developing and ranking the identified indicators, and indicators' finalization. The final indicators were selected through consensus, with a cut-off point of 75%. Data was collected from June 21, 2020, until February 18, 2021. Data analysis was conducted simultaneously during each stage of the study. MAXQDA.11 and MS Excel 2017 software were used in the first and third phases for data analysis. Results: A total of 37 RH indicators were finalized after three rounds of screening. The first five indicators with the highest score were: total fertility rate, population under 15 years, total population, population aged 65 years and older, and age-specific fertility rate. The lowest score was related to the recuperation index (degree of recuperation relative to fertility decline at younger ages).Conclusion: The nature and number of indicators might vary at different organizational levels; so, the need to develop specific indicators is pivotal.

BackgroundThis tracked obesity inequality and identified its determinants among the population of Iran. In addition, it examined the impact of implemented policies on these inequalities.MethodsThis 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.ResultsInequalities 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.ConclusionObesity 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.

Abstract Background In contrast to the acute hospital sector, there have been relatively few implementations of integrated electronic health record (EHR) systems into specialist mental health settings. The National Programme for Information Technology (NPfIT) in England was the most expensive IT-based transformation of public services ever undertaken, which aimed amongst other things, to implement integrated EHR systems into mental health hospitals. This paper describes the arrival, the process of implementation, stakeholders’ experiences and the local consequences of the implementation of an EHR system into a mental health hospital. Methods Longitudinal, real-time, case study-based evaluation of the implementation and adoption of an EHR software (RiO) into an English mental health hospital known here as Beta. We conducted 48 in-depth interviews with a wide range of internal and external stakeholders, undertook 26 hours of on-site observations, and obtained 65 sets of relevant documents from various types relating to Beta. Analysis was both inductive and deductive, the latter being informed by the ‘sociotechnical changing’ theoretical framework. Results Many interviewees perceived the implementation of the EHR system as challenging and cumbersome. During the early stages of the implementation, some clinicians felt that using the software was time-consuming leading to the conclusion that the EHR was not fit for purpose. Most interviewees considered the chain of deployment of the EHR–which was imposed by NPfIT–as bureaucratic and obstructive, which restricted customization and as a result limited adoption and use. The low IT literacy among users at Beta was a further barrier to the implementation of the EHR. This along with inadequate training in using the EHR software led to resistance to the significant cultural and work environment changes initiated by EHR. Despite the many challenges, Beta achieved some early positive results. These included: the ability to check progress notes and monitor staff activities; improving quality of care as a result of real-time, more accurate and shared patient records across the hospital; and potentially improving the safety of care through increasing the legibility of the clinical record. Conclusions Notwithstanding what was seen as a turbulent, painful and troublesome implementation of the EHR system, Beta achieved some early clinical and managerial benefits from implementing EHRs. The ‘sociotechnical changing’ framework helped us go beyond the dichotomy of success versus failure, when conducting the evaluation and interpreting findings. Given the scope for continued development, there are good reasons, we argue, to scale up the intake of EHR systems by mental health care settings. Software customization and appropriate support are essential to work EHR out in such organizations.