Prevalence of HIV in slums area: a systematic review and meta-analysis.

BACKGROUND: Human Immunodeficiency Virus (HIV) remains a significant global health burden, particularly affecting vulnerable populations residing in slum areas which is characterized by overcrowding, poverty, and limited access to healthcare services, create an environment conducive to the transmission and spread of HIV. Despite the recognition of this issue, there is a lack of comprehensive understanding regarding the prevalence of HIV in slums. The aim of this study was to systematically synthesize the existing global evidence on HIV prevalence in slum populations. METHODS: A rigorous systematic literature review was conducted by searching multiple electronic databases, including Medline via PubMed, Scopus, Embase, Web of Sciences, and Directory of Open Access Journals (DOAJ), covering the period from January 1, 1990, to March 31, 2023. The quality and risk of bias for each included study were assessed using the Newcastle-Ottawa Scale. The pooled prevalence with its corresponding 95% confidence interval (CI) was calculated using a random-effects model with the Freeman-Tukey double arcsine transformation. The degree of heterogeneity among the studies was evaluated using the I2 test. Publication bias was also assessed using Egger's test. Additionally, subgroup analysis was performed to explore potential factors contributing to the observed heterogeneity. RESULTS: A systematic examination of the relevant literature resulted in the inclusion of a total of 22 studies for the purpose of this meta-analysis. These studies collectively assessed a sizable cohort consisting of 52,802 participants. Utilizing a random-effects model, an estimation of the overall prevalence of HIV in the slum area was determined to be 10% (95% CI: 7-13%). Further delineation through subgroup analysis based on the gender revealed a higher prevalence of HIV among women, standing at 13% (95% CI: 8-19%, 18 studies: I2 = 98%), as opposed to men, where the prevalence was found to be 8% (95% CI: 6-12%, 16 studies: I2 = 95%). A geographical breakdown of the included studies revealed that Africa exhibited the highest prevalence, with a figure of 11% (95% CI: 9-13%, 18 studies: I2 = 98%). Subsequently, studies conducted in the American continent reported a prevalence of 9% (95% CI: 7-11%, 2 studies: I2 = 57%). The Asian continent, on the other hand, displayed the lowest prevalence of 1% (95% CI: 0-3%, 2 studies: I2 = 94%). Notably, studies employing rapid tests indicated a prevalence of 13% (95% CI: 9-17%, 6 studies: I2 = 94%), while those relying on self-reported data reported a lower prevalence of 8% (95% CI: 5-11%, 6 studies: I2 = 99%). Moreover, studies utilizing ELISA reported a prevalence of 9% (95% CI: 6-12%, 10 studies: I2 = 96%). Finally, it was determined that studies conducted in upper-middle-income countries reported a higher prevalence of 20% (95% CI: 16-24%, 5 studies: I2 = 45%), whereas studies conducted in lower- and middle-income countries reported a prevalence of 8% (95% CI: 6-10%, 12 studies: I2 = 98%). CONCLUSION: The current study elucidates the troublingly high prevalence of HIV infection within slums area. Also, this finding underscores the urgent necessity for targeted and tailored interventions specifically aimed at curtailing the spread of HIV within slums. Policymakers must take cognizance of these results and devote their efforts towards the implementation of effective strategies to mitigate gender disparities, address poverty alleviation, and empower the inhabitants of these marginalized areas.

Exploring the landscape of health technology assessment in Iran: perspectives from stakeholders on needs, demand and supply.

BACKGROUND: The evaluation of health technologies plays a crucial role in the allocation of resources and the promotion of equitable healthcare access, known as health technology assessment (HTA). This study focuses on Iran's efforts to integrate HTA and aims to gain insights into stakeholder perspectives regarding capacity needs, demand and implementation. METHODS: In this study, we employed the HTA introduction status analysis questionnaire developed by the International Decision Support Initiative (iDSI), which has been utilized in various countries. The questionnaire consisted of 12 questions divided into three sections: HTA need, demand and supply. To identify key informants, we conducted a literature review and consulted with the Ministry of Health and Medical Education (MOHME), as well we experts in policy-making, health service provision and HTA. We selected stakeholders who held decision-making positions in the healthcare domain. A modified Persian version of the questionnaire was administered online from September 2022 to January 2023 and was pretested for clarity. The analysis of the collected data involved quantitative methods for descriptive analysis and qualitative methods for thematic analysis. RESULTS: In this study, a total of 103 questionnaires were distributed, resulting in a favourable response rate of 61% from 63 participants, of whom 68% identified as male. The participants, when assessing the needs of HTA, rated allocative efficiency as the highest priority, with a mean rating of 8.53, thereby highlighting its crucial role in optimizing resource allocation. Furthermore, healthcare quality, with a mean rating of 8.17, and transparent decision-making, with a mean rating of 7.92, were highly valued for their impact on treatment outcomes and accountability. The importance of budget control (mean rating 7.58) and equity (mean rating 7.25) were also acknowledged, as they contribute to maintaining sustainability and promoting social justice. In terms of HTA demand, safety concerns were identified as the top priority, closely followed by effectiveness and cost-effectiveness, with an expanded perspective on the economy. However, limited access to local data was reported, which arose from various factors including data collection practices, system fragmentation and privacy concerns. The priorities of HTA users encompassed coverage, payment reform, benefits design, guidelines, service delivery and technology registration. Evidence generation involved the participation of medical universities, research centres and government bodies, albeit with ongoing challenges in research quality, data access and funding. The study highlights government support and medical education as notable strengths in this context. CONCLUSIONS: This study provides a comprehensive evaluation of Iran's HTA landscape, considering its capacity, demand and implementation aspects. It underlines the vital role of HTA in optimizing resources, improving healthcare quality and promoting equity. The study also sheds light on the strengths of evidence generation in the country, while simultaneously identifying challenges related to data access and system fragmentation. In terms of policy priorities, evidence-based decision-making emerges as crucial for enhancing healthcare access and integrating technology. The study stresses the need for evidence-based practices, a robust HTA infrastructure and collaboration among stakeholders to achieve better healthcare outcomes in Iran.

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.

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 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.

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.

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.

Analysis and evolution of health policies in Iran through policy triangle framework during the last thirty years: a systematic review of the historical period from 1994 to 2021.

Background: Health policy analysis as a multi-disciplinary approach to public policy illustrates the need for interventions that highlight and address important policy issues, improve the policy formulation and implementation process and lead to better health outcomes. Various theories and frameworks have been contributed as the foundation for the analysis of policy in various studies. This study aimed to analyze health policies during the historical period of the almost last 30 years in Iran using policy triangle framework. Method: To conduct the systematic review international databases (PubMed / Medline, Scopus, Web of Sciences, CINAHL, PsycINFO, Embase, the Cochran Library) and Iranian databases from January 1994 to January 2021 using relevant keywords. A thematic qualitative analysis approach was used for the synthesis and analysis of data. The Critical Appraisal Skills Programme for Qualitative Studies Checklist (CASP) was conducted. Results: Out of 731 articles, 25 articles were selected and analyzed. Studies used health policy triangle framework to analyze policies in the Iranian health sector has been published since 2014. All the included studies were retrospective. The main focus of most of studies for the analysis was on the context and process of polices as the elements of the policy triangle. Conclusion: The main focus of health policy analysis studies in Iran over the last thirty years was on the context and process of polices. Although range of actors within and outside the Iran government influence health policies but in many policy processes the power and the role of all actors or players involved in the policy are not recognized carefully. Also, Iran's health sector suffers from lack of a proper framework for evaluating various implemented policies.

The role of Iran's context for the development of health technology assessment: challenges and solutions.

Health technology assessment (HTA) is a comprehensive and structured evaluation that aims to analyze the potential impacts of health technologies, including medical devices, diagnostic tools, pharmaceuticals, and public health interventions. Its purpose is to provide policymakers with evidence-based information to inform decisions related to the utilization and implementation of these technologies. HTA allows for the comparison of various scenarios related to a technology across a wide range of factors. This can aid in the creation of an essential drug list and health benefits package that is tailored to the actual needs of the community within a given healthcare system. In the present paper, we review the role of Iran's context for the development of HTA, in terms of challenges and solutions.

A SWOT analysis of the development of health technology assessment in Iran.

BACKGROUND: Health systems need to prioritize their services, ensuring efficiency and equitable health provision allocation and access. Alongside, health technology assessment (HTA) seeks to systematically evaluate various aspects of health technologies to be used by policy- and decision-makers. In the present study, we aim to identify strengths, weaknesses, opportunities, and threats in developing an HTA in Iran. METHOD: This qualitative study was conducted using 45 semi-structured interviews from September 2020 to March 2021. Participants were selected from key individuals involved in health and other health-related sectors. Based on the objectives of the study, we used purposive sampling (snowball sampling) to select individuals. The range of length of the interviews was between 45 to 75 minutes. Four authors of the present study carefully reviewed the transcripts of interviews. Meanwhile, the data were coded on the four domains of strengths, weaknesses, opportunities, and threats (SWOT). Transcribed interviews were then entered into the software and analyzed. Data management was performed using MAXQDA software, and also analyzed using directed content analysis. RESULTS: Participants identified eleven strengths for HTA in Iran, namely the establishment of an administrative unit for HTA within the Ministry of Health and Medical Education (MOHME); university-level courses and degrees for HTA; adapted approach of HTA models to the Iranian context; HTA is mentioned as a priority on the agenda in upstream documents and government strategic plans. On the other hand, sixteen weaknesses in developing HTA in Iran were identified: unavailability of a well-defined organizational position for using HTA graduates; HTA advantages and its basic concept are unfamiliar to many managers and decision-makers; weak inter-sectoral collaboration in HTA-related research and key stakeholders; and, failure to use HTA in primary health care. Also, participants identified opportunities for HTA development in Iran: support from the political side for reducing national health expenditures; commitment and planning to achieve universal health coverage (on behalf of the government and parliament); improved communication among all stakeholders engaged in the health system; decentralization and regionalization of decisions; and capacity building to use HTA in organizations outside the MOHME. High inflation and bad economic situation; poor transparency in decisions; lack of support from insurance companies; lack of sufficient data to conduct HTA research; rapid change of managers in the health system; and economic sanctions against Iran are threats to the developmental path of HTA in Iran. CONCLUSION: HTA can be properly developed in Iran if we use its strengths and opportunities, and address its weaknesses and threats.

Intersectoral collaboration in the management of non-communicable disease's risk factors in Iran: stakeholders and social network analysis.

INTRODUCTION: As the major cause of premature death worldwide, noncommunicable diseases (NCDs) are complex and multidimensional, prevention and control of which need global, national, local, and multisectoral collaboration. Governmental stakeholder analysis and social network analysis (SNA) are among the recognized techniques to understand and improve collaboration. Through stakeholder analysis, social network analysis, and identifying the leverage points, we investigated the intersectoral collaboration (ISC) in preventing and controlling NCDs-related risk factors in Iran. METHODS: This is a mixed-methods study based on semi-structured interviews and reviewing of the legal documents and acts to identify and assess the interest, position, and power of collective decision-making centers on NCDs, followed by the social network analysis of related councils and the risk factors of NCDs. We used Gephi software version 0.9.2 to facilitate SNA. We determined the supreme councils' interest, position, power, and influence on NCDs and related risk factors. The Intervention Level Framework (ILF) and expert opinion were utilized to identify interventions to enhance inter-sectoral collaboration. RESULTS: We identified 113 national collective decision-making centers. Five councils had the highest evaluation score for the four criteria (Interest, Position, Power, and Influence), including the Supreme Council for Health and Food Security (SCHFS), Supreme Council for Standards (SCS), Supreme Council for Environmental Protection (SCIP), Supreme Council for Health Insurance (SCHI) and Supreme Council of the Centers of Excellence for Medical Sciences. We calculated degree, in degree, out-degree, weighted out-degree, closeness centrality, betweenness centrality, and Eigenvector centrality for all councils. Supreme Council for Standards and SCHFS have the highest betweenness centrality, showing Node's higher importance in information flow. Interventions to facilitate inter-sectoral collaboration were identified and reported based on Intervention Level Framework's five levels (ILF). CONCLUSION: A variety of stakeholders influences the risk factors of non-communicable diseases. Through an investigation of stakeholders and their social networks, we determined the primary actors for each risk factor. Through the different (levels and types) of interventions identified in this study, the MoHME can leverage the ability of identified stakeholders to improve risk factors management. The proposed interventions for identified stakeholders could facilitate intersectoral collaboration, which is critical for more effective prevention and control of modifiable risk factors for NCDs in Iran. Supreme councils and their members could serve as key hubs for implementing targeted inter-sectoral approaches to address NCDs' risk factors.

Health policy analysis in Eastern Mediterranean region using a health policy triangle framework: Historical and ethical insights from a systematic review.

Background: Health policy can be defined as an agreement and consensus on a health-related program and set of actions taken to achieve the goals expected by programs in the area of policy. Policy analysis involves a wide range of methods, techniques, and tools in a way to reach awareness of the impacts of the developed and implemented policies. Whereas policy analysis in developed countries has a long history, in developing countries, it is instead in its first developing stages. Our paper aimed to collect systematically the studies using health policy triangle framework in doing analysis in one of the health policy issues in the Eastern Mediterranean region organization. Methods: To conduct our literature search, ISI/Web of Science, PubMed/MEDLINE, Embase, The Cochrane Library, Global Health Database, Scopus, as well as Google Scholar from 2003 up to June 2020 were systematically mined. To evaluate the methodological quality of the included studies, the Critical Appraisal Skills Program checklist was used. Results: We selected 30 studies, conducted between 2011 and 2020. According to the findings of these studies, in the Eastern Mediterranean region, organization region, and the role of evidence-based research in policy-making has been repeatedly emphasized, but its use in health program decision-making has been limited, and health research systems in Eastern Mediterranean region organization are still under scrutiny. There is still a gap between evidence-based research in health systems and its use in policy-making. Discussion: Based on the present systematic review, studies based on policy analysis should focus on all the elements of health policies and provide evidence to inform decisions that can strengthen health systems, improve health and improve existing inequalities.

Financial Protection Indexes and the Iranian Health Transformation Plan: A Systematic Review.

Background: On May 5, 2014, the Iranian Ministry of Health and Medical Education launched the Health Transformation Plan (HTP) as a major healthcare reform to curb out-of-pocket (OOP) expenses and protect people from catastrophic health expenditures (CHEs). Therefore, in this study, we conducted a comprehensive literature search with the aim of systematically investigating the impacts of HTP on OOP and CHE after the implementation of the plan. Method: Web of Science, PubMed, Scopus, Embase, and Iranian bibliographic thesauri and repositories such as MagIran, Elmnet, and Scientific Information Database were searched. Studies published between May 2014 and December 2020 that reported the impact of HTP on the financial indicators under investigation in this study (OOP and CHEs) that were conducted in Iran. Estimated pooled change both for OOP and CHEs was calculated as effect size utilizing meta-analytical techniques. Also, heterogeneity among studies was assessed with the I2 statistics. Results: Seventeen studies were included, nine of which evaluated the OOP index, six studies assessed the CHEs index, and two studies examined both the OOP and CHEs indexes. The OOP was found to decrease after the implementation of the HTP (with an estimated decrease of 13.02% (95% CI: 9.09-16.94). Also, CHEs experienced a decrease of 5.80% (95% CI: 3.85-7.74). Conclusion: The findings show that the implementation of HTP has reduced health costs. In this regard and in order to keep reducing the costs that many people are unable to pay, the government and other organizations involved in the health system should provide sustainable financial resources in order to continue running HTP. However, there remain gaps and weaknesses that can be solved through discussion with all the actors involved.

The Impact of the Social Distancing Policy on COVID-19 Incidence Cases and Deaths in Iran from February 2020 to January 2021: Insights from an Interrupted Time Series Analysis.

Background: In December 2019, a viral outbreak occurred in China, and rapidly spread out worldwide. Due to the lack of immediately available vaccines and effective drugs, many policy- and decision-makers have focused on non-pharmacological methods, including social distancing. This study was aimed at assessing the effects of the implementation of this policy in Iran, one of the countries most affected by COVID-19. We conducted a quasi-experimental study, utilizing the interrupted time series analysis (ITSA) approach. Methods: We collected daily data between February 20, 2020 and January 29, 2021, through governmental websites from 954 public hospitals and healthcare settings. The Iranian government launched the social distancing policy on March 27, 2020. Statistical analyses, including ITSA, were carried out with R software Version 3.6.1 (London, UK). Results: During the study period, 1,398,835 confirmed incidence cases and 57,734 deaths occurred. We found a decrease of -179.93 (95% CI: -380.11 to -20.25, P-value=0.078) confirmed incidence cases following the implementation of the social distancing policy, corresponding to a daily decrease in the trend of -31.17 (95% CI: -46.95 to -15.40, P-value=0.08). Moreover, we found a decrease of -28.28 (95% CI: -43.55 to -13.01, P-value=0.05) deaths, corresponding to a daily decrease in the trend of -4.52 (95% CI: -5.25 to -3.78, P-value=0.003). Conclusion: The growth rate of confirmed incidence cases and deaths from COVID-19 in Iran has decreased from March 27, 2020 to January 29, 2021, after the implementation of social distancing. By implementing this policy in all countries, the burden of COVID-19 may be mitigated.

Mapping Research Trends of Universal Health Coverage From 1990 to 2019: Bibliometric Analysis.

BACKGROUND: Universal health coverage (UHC) is one of many ambitious, health-related, sustainable development goals. Sharing various experiences of achieving UHC, in terms of challenges, pitfalls, and future prospects, can help policy and decision-makers reduce the likelihood of committing errors. As such, scholarly articles and technical reports are of paramount importance in shedding light on the determinants that make it possible to achieve UHC. OBJECTIVE: The purpose of this study is to conduct a comprehensive analysis of UHC-related scientific literature from 1990 to 2019. METHODS: We carried out a bibliometric analysis of papers related to UHC published from January 1990 to September 2019 and indexed in Scopus via VOSviewer (version 1.6.13; CWTS). Relevant information was extracted: the number of papers published, the 20 authors with the highest number of publications in the field of UHC, the 20 journals with the highest number of publications related to UHC, the 20 most active funding sources for UHC-related research, the 20 institutes and research centers that have produced the highest number of UHC-related research papers, the 20 countries that contributed the most to the research field of UHC, the 20 most cited papers, and the latest available impact factors of journals in 2018 that included the UHC-related items under investigation. RESULTS: In our analysis, 7224 articles were included. The publication trend was increasing, showing high interest in the scientific community. Most researchers were from the United States, the United Kingdom, and Canada, with Thailand being a notable exception. The Lancet accounted for 3.95% of published UHC-related research. Among the top 20 funding sources, the World Health Organization (WHO), the Bill and Melinda Gates Foundation, and the National Institutes of Health (NIH) accounted for 1.41%, 1.34%, and 1.02% of published UHC-related research, respectively. The highest number of citations was found for articles published in The Lancet, the American Journal of Psychiatry, and the Journal of the American Medical Association (JAMA). The top keywords were "health insurance," "insurance," "healthcare policy," "healthcare delivery," "economics," "priority," "healthcare cost," "organization and management," "health services accessibility," "reform," "public health," and "health policy." CONCLUSIONS: The findings of our study showed an increasing scholarly interest in UHC and related issues. However, most research concentrated in middle- and high-income regions and countries. Therefore, research in low-income countries should be promoted and supported, as this could enable a better understanding of the determinants of the barriers and obstacles to UHC achievement and improve global health.

Ensuring adequate health financing to prevent and control the COVID-19 in Iran.

On February 19th 2020, the Iranian Ministry of Health and Medical Education (MoHME) has announced the first 2 cases of SARS-CoV-2, a novel emerging coronavirus which causes an infection termed as COVID-19, in Qom city. As such, the Iranian government, through the establishment of the "National Headquarters for the management and control of the novel Coronavirus", has started implementing policies and programs for the prevention and control of the virus. These measures include schools and universities closure, reduced working hours, and increased production and delivery of equipment such as masks, gloves and hygienic materials for sterile environments. The government has also made efforts to divulge high-quality information concerning the COVID-19 and to provide laboratories and hospitals with diagnostic kits and adequate resources to treat patients. However, despite such efforts, the number of cases and deaths has progressively increased with rising trends in total confirmed cases and deaths, as well as in new daily cases and deaths associated with the COVID-19. Iran is a developing country and its economic infrastructure has been hit hardly by embargo and sanctions. While developed countries have allocated appropriate funding and are responding adequately to the COVID-19 pandemics, Iran has experienced a serious surge of cases and deaths and should strive to provide additional resources to the health system to make healthcare services more accessible and to increase the fairness of that access. All relevant actors and stakeholders should work together to fight this disease.

The effect of the Iranian health transformation plan on hospitalization rate: insights from an interrupted time series analysis.

BACKGROUND: Healthcare policy- and decision-makers make efforts to build and maintain high-performing and effective health systems, implementing effectiveness programs and health reforms. In May 2014, the Iranian Ministry of Health and Medical Education has launched a series of ambitious reforms, known as the Health Transformation Plan (HTP). This study aimed to determine the effect of the HTP on hospitalization rate in Iranian public hospitals affiliated to the Ministry of Health and Medical Education. METHODS: This study was designed as a quasi-experimental, counterfactual study utilizing the interrupted time series analysis (ITSA), comparing the trend of hospitalization rate before and after the HTP implementation in 16 hospitals in the Lorestan province. Data was collected from March 2012 to February 2019. RESULTS: In the first month of the HTP implementation, an increase of 2.627 [95% CI: 1.62-3.63] was noted (P < 0.001). Hospitalization rate increased by 0.68 [95% CI: 0.32-0.85] after the HTP implementation compared to the first month after the launch of the HTP (P < 0.001). After the HTP implementation, monthly hospitalization rate per 1000 persons significantly increased by 0.049 [95% CI: 0.023-0.076] (P < 0.001). CONCLUSIONS: The HTP implementation has resulted in an increased hospitalization rate. Health planners should continue to further improve this service. ITSA can play a role in evaluating the impact of a given health policy.

Assessment and prioritization of the WHO "best buys" and other recommended interventions for the prevention and control of non-communicable diseases in Iran.

BACKGROUND: The WHO's "best buys" and other recommended interventions are a menu of policy options and cost-effective interventions for the prevention and control of major noncommunicable diseases (NCDs). The menu has six objectives, implementing which by member states is expected to promote the achievement of the nine NCD targets by 2025. In line with their context, countries can select from the menu of best buys and other recommended interventions. Iran adopted its national action plan on NCDs, 2015, including global as well as some specific goals and targets. This study had two objectives: analyzing the gaps to reach the national targets on NCDs; and prioritizing the best buys and other recommended interventions based on multi-criteria decision-making (MCDA) method for the context of Iran. METHODS: This is a mixed-methods study. We used qualitative textual evidence (documentary content analysis) and MCDA for prioritization of interventions based on five criteria, including a number of people to be potentially affected by the intervention, cost-effectiveness of the intervention, attributable burden (DALY per 100,000), hospitalization and variations among income levels. Data related to five criteria for each intervention were extracted from national studies and relevant international organizations. The weight of each criterion determines based on the opinions of national experts. RESULTS: Out of 105 actions and interventions recommended by WHO, only 12 of them were not on the national agenda in Iran, while the six missed interventions were related to objective number 4. Only one of the best buys Group's interventions was not targeted (vaccination against human papillomavirus, two doses of 9-13-year-old girls), for which arrangements are being made for the implementation. Encouraging and educating healthy dietary habits and increasing public awareness about the side effects of smoking and exposure to second-hand smoke, e.g., through mass media campaigns, are among the interventions in need of serious prioritization. The priority of interventions was independently calculated in the area of risk factors and clinical preventive interventions. CONCLUSION: Due to limited resources, low and middle-income countries (LMICs) need to identify and prioritize more cost-effective and more equitable interventions to combat the NCD epidemic. Based on our findings, we advocate more investment in the mass and social media campaigns to promote a healthy diet, avoid tobacco use, as well as the inclusion of some effective clinical preventive interventions into the national action plan, along the long pathway to tackle NCDs and ultimately reach sustainable health development in Iran. The use of the MCDA approach assisted us in formulating a simultaneous use of efficiency and equity, and other indices for prioritizing the interventions.