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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 FROM AUTHOR]

This study explores the roles of depth and breadth of lexical repertoire in L2 lexical inferencing success and incidental vocabulary acquisition through reading. Students read a graded reader containing 13 pseudo-words and attempted to infer the meanings of underlined target words. The Word Associates Test (WAT, Read, 2004) and the Vocabulary Levels Test (Schmitt, Schmitt, & Clapham, 2001) were administered to measure depth and breadth of lexical repertoire respectively. To rate retention of inferred meanings, I administered the Vocabulary Knowledge Scale (VKS, Paribakht & Wesche, 1996, 1997) with a repeated measure design. The results indicated that (a) both breadth and depth of lexical knowledge correlated positively with long-term retention of inferred word meanings. However, depth of vocabulary knowledge indicated a higher correlation; and (b) scores on both breadth and depth of vocabulary knowledge had a significant positive correlation with success of lexical inferencing through reading, but depth of vocabulary knowledge was a stronger predictor of inferencing success. (Contains 4 tables and 1 figure.)

Introduction: The Internet of Things (IoT) and Cloud computing are two recent technological advances whose potential have not been realized in a range of industries. These technologies have been used in healthcare systems to improve their performance. In this regard, the IoT generates a large amount of data; also, cloud computing is a viable option for data storage and complex computing. The purpose of this study is to identify and categorize various aspects of CIoT-based healthcare in terms of main application domains, sensors, wireless communication technologies, messaging protocols, cloud platforms, and artificial intelligence (AI) algorithms. Material and Methods: We conducted a literature systematic review and reported according to the PRISMA guideline. PubMed, IEEE, Scopus, and Web of Science were searched using the related keywords and their synonyms. Two independent authors reviewed the papers' eligibility according to the defined inclusion and exclusion criteria. Results: Of the 2,118 papers retrieved, 61 were eventually selected in the study. Results of the present study revealed that the majority of CIoT research works were applied to patient monitoring systems and cardiovascular patient monitoring systems using Amazon and IBM dominating Cloud platforms. In addition, the most widely used communication technologies for CIoT in healthcare are cellular networks (3G and 4G), Wi-Fi, and Bluetooth. Cardiovascular, environmental, and position sensors are also the most common types of sensors used in healthcare CIoT applications. Among the Cloud platform providers, Amazon and IBM have the highest utility in healthcare systems. The majority of the included studies used Cloud-based AI algorithms to diagnose, classify, and predict diseases. Conclusion: The integration of the Cloud into the IoT can support healthcare systems in terms of processing power, storage capacity, security, privacy, performance, reliability, and scalability. We suggest researchers conduct experimental studies to evaluate the effectiveness of the CIoT approach in healthcare applications. [ABSTRACT FROM AUTHOR]

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Background: Providing appropriate specialized treatment to the right patient at the right time is considered necessary in cancer management. Targeted therapy tailored to the genetic changes of each breast cancer patient is a desirable feature of precision oncology, which can not only reduce disease progression but also potentially increase patient survival. The use of artificial intelligence alongside precision oncology can help physicians by identifying and selecting more effective treatment factors for patients., Method: A systematic review was conducted using the PubMed, Embase, Scopus, and Web of Science databases in September 2023. We performed the search strategy with keywords, namely: Breast Cancer, Artificial intelligence, and precision Oncology along with their synonyms in the article titles. Descriptive, qualitative, review, and non-English studies were excluded. The quality assessment of the articles and evaluation of bias were determined based on the SJR journal and JBI indices, as well as the PRISMA2020 guideline., Results: Forty-six studies were selected that focused on personalized breast cancer management using artificial intelligence models. Seventeen studies using various deep learning methods achieved a satisfactory outcome in predicting treatment response and prognosis, contributing to personalized breast cancer management. Two studies utilizing neural networks and clustering provided acceptable indicators for predicting patient survival and categorizing breast tumors. One study employed transfer learning to predict treatment response. Twenty-six studies utilizing machine-learning methods demonstrated that these techniques can improve breast cancer classification, screening, diagnosis, and prognosis. The most frequent modeling techniques used were NB, SVM, RF, XGBoost, and Reinforcement Learning. The average area under the curve (AUC) for the models was 0.91. Moreover, the average values for accuracy, sensitivity, specificity, and precision were reported to be in the range of 90-96% for the models., Conclusion: Artificial intelligence has proven to be effective in assisting physicians and researchers in managing breast cancer treatment by uncovering hidden patterns in complex omics and genetic data. Intelligent processing of omics data through protein and gene pattern classification and the utilization of deep neural patterns has the potential to significantly transform the field of complex disease management., (© 2024. The Author(s).)

Background: The history of the primary healthcare system in Iran portrays a journey of strategic development and implementation that has resulted in significant advancements in healthcare access and overall population well-being. Starting in the early 1980s, Iran embarked on a comprehensive approach to health care delivery prioritizing universal access, equity, and community participation., Introduction: The foundation of this system was established during the Alma-Ata Conference in 1978, which placed a strong emphasis on the role of primary health care in attaining health for all.Iran's unwavering commitment to this approach led to the creation of an extensive network of rural and urban health centers designed to offer essential health services and preventive care to all citizens., Discussion: Over the years, the expansion of Iran's primary healthcare system has yielded noteworthy accomplishments. Maternal and child mortality rates have seen substantial declines, attributed to improved access to maternal care and immunization services. The effectiveness of the system in reaching diverse populations has been enhanced through community engagement and the integration of traditional medicine. Furthermore, Iran's focus on health education and disease prevention has resulted in heightened public awareness and the adoption of healthier lifestyles. Despite these achievements, challenges continue to persist. Disparities in the quality and accessibility of services between urban and rural areas remain a concern. Moreover, the ongoing necessity for infrastructure development, training of the health workforce, and efficient resource allocation underscore the continuous efforts required to strengthen the primary healthcare system., Conclusions: The history of Iran's primary health care system is marked by progress and achievements, underscored by an unwavering commitment to providing comprehensive, community-based care. Iran's journey serves as an exemplary model, highlighting the positive impact of prioritizing primary health care in achieving better health outcomes for its population. As Iran continues to evolve its health system, addressing challenges and building upon successes, the history of its primary health care system serves as a valuable lesson in the pursuit of accessible and equitable health care for all., Competing Interests: The authors declare no conflict of interest., (©2023 Pacini Editore SRL, Pisa, Italy.)

Background: Efficient and effective management of budgets and financial resources is critical for health systems to achieve their goals; in this regard, countries may face budgetary and financial challenges owing to the weak prediction of resources and consumptions, and lack of prioritization for their budget. This study aims to identify the most critical policies and events that have affected public financial management and health budgeting and existing challenges in Iran., Methods: We conducted the present study in 2022 using a 2-stage qualitative method. First, by reviewing upstream documents and laws, we identified evidence related to health budgeting. Then, we conducted 13 semi-structured interviews with informed people in the health budgeting field that led us toward the main challenges through thematic content analysis., Results: After reviewing 48 upstream documents related to health budgeting, we identified 85 policies. After reviewing the articles, we achieved 11 themes and 71 subthemes. The most critical challenges of the budgeting cycle were as follows: (I) budget formulation, including inappropriate budget structure, conflicts of interest and infringement, lack of financial sustainability, and transparency; (II) budget execution, including a nonexecutable approved budget, complicated allocation process, and ineffective allocations; and (III) monitoring, reporting, and evaluation (MR&E), including fragmentation of MR&E processes, ineffective monitoring and evaluation, weak evaluation of platforms, and inadequate transparency., Conclusion: Most challenges in the health budgeting system are related to the budget formulation and approval stage that have their roots in implementation, monitoring, and reporting. In addition, Iran's macroeconomic and financial issues have also damaged the budgeting of the health sector. Budget problems affect the goals and outcomes of this sector, especially the health system., Competing Interests: The authors declare that they have no competing interests., (© 2023 Iran University of Medical Sciences.)

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., Competing Interests: The authors declare that they have no competing interests., (©2023 Pacini Editore SRL, Pisa, Italy.)

Hepatitis B virus (HBV) infection is a main challenge of the health system worldwide. Health policymakers in most countries attempt to help HBV patients by implementing support programs in addition to controlling HBV in their community so that the economic burden caused by HBV do not deprive the patients of accessing health services and reducing their quality of life. There are several health interventions for the prevention and control of HBV. Providing the first dose of the HBV vaccine within 24 hours after the infant is born is the most cost-effective way to prevent and control HBV. The purpose of this study is to review the nature of HBV, its epidemiology in Iran and worldwide, and to review the various policies and programs in Iran regarding the prevention and control of HBV, especially the use of vaccination. One of the goals of Sustainable Development Goals (SDGs) is to consider hepatitis as a threat to human health. In this regard, one of the top priorities of WHO is the prevention and control of HBV. In connection with the prevention of HBV, it is claimed that vaccination is the most effective and best intervention. Thus, vaccination in the safe's program of countries is highly recommended. According to the Ministry of Health and Medical Education (MOHME) reports, Iran has the lowest prevalence of HBV among the countries in Eastern Mediterranean Region Organization (EMRO). There is a hepatitis unit in MOHME whose responsibility is to coordinate and implement the hepatitis prevention and control programs. The HBV vaccine has been officially included in the vaccination program for children in Iran since 1993, and three doses of the vaccine are given to all infants. In 2007, during a large-scale program in Iran, 17-year-olds received the HBV vaccine, followed by adolescents born in 1990 and 1991. In recent years, the health system in Iran has made significant progress in preventing and controlling HBV. Over 95% coverage of the HBV vaccination is one of the achievements that have had a great impact on reducing the trend of HBV infection. In order to achieve the 2030 goals, the Iranian government, in addition to paying more attention to HBV elimination programs, should encourage other organizations to cooperate more effectively with MOHME., (©2022 Pacini Editore SRL, Pisa, Italy.)

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., Competing Interests: Competing interests The authors declare that they have no competing interests., (©2022 Pacini Editore SRL, Pisa, Italy.)

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 I 2 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., (Copyright ©2021, Yale Journal of Biology and Medicine.)