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  1. Article ; Online: The Universal Triangle to Ensure Health Security.

    Sazgarnejad, Saharnaz / Takian, Amirhossein

    International journal of public health

    2022  Volume 67, Page(s) 1605443

    MeSH term(s) Humans ; Universal Health Insurance ; Health Policy ; Global Health
    Language English
    Publishing date 2022-10-19
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2274130-6
    ISSN 1661-8564 ; 1661-8556
    ISSN (online) 1661-8564
    ISSN 1661-8556
    DOI 10.3389/ijph.2022.1605443
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Anti-inflammatory effects of GLP-1 in patients with COVID-19.

    Sazgarnejad, Saharnaz / Yazdanpanah, Niloufar / Rezaei, Nima

    Expert review of anti-infective therapy

    2021  Volume 20, Issue 3, Page(s) 373–381

    Abstract: Introduction: Understanding the pathogenesis and risk factors to control the coronavirus disease 2019 (COVID-19) is necessary. Due to the importance of the inflammatory pathways in the pathogenesis of COVID-19 patients, evaluating the effects of anti- ... ...

    Abstract Introduction: Understanding the pathogenesis and risk factors to control the coronavirus disease 2019 (COVID-19) is necessary. Due to the importance of the inflammatory pathways in the pathogenesis of COVID-19 patients, evaluating the effects of anti-inflammatory medications is important. Glucagon-like peptide 1 receptor agonist (GLP-1 RA) is awell-known glucose-lowering agent with anti-inflammatory effects.
    Areas covered: Resources were extracted from the PubMed database, using keywords such as glucagon-like peptide-1, GLP-1 RA, SARS-CoV-2, COVID-19, inflammation, in April2021. In this review, the effects of GLP-1RA in reducing inflammation and modifying risk factors of COVID-19 severe complications are discussed. However, GLP-1 is degraded by DPP-4 with aplasma half-life of about 2-5 minutes, which makes it difficult to measure GLP-1 plasma level in clinical settings.
    Expert opinion: Since no definitive treatment is available for COVID-19 so far, determining promising targets to design and/or repurpose effective medications is necessary.
    MeSH term(s) Anti-Inflammatory Agents/therapeutic use ; COVID-19/drug therapy ; Glucagon-Like Peptide 1/blood ; Glucagon-Like Peptide-1 Receptor/agonists ; Humans ; SARS-CoV-2
    Chemical Substances Anti-Inflammatory Agents ; Glucagon-Like Peptide-1 Receptor ; Glucagon-Like Peptide 1 (89750-14-1)
    Language English
    Publishing date 2021-08-12
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2181279-2
    ISSN 1744-8336 ; 1478-7210
    ISSN (online) 1744-8336
    ISSN 1478-7210
    DOI 10.1080/14787210.2021.1964955
    Database MEDical Literature Analysis and Retrieval System OnLINE

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

    Bakhtiari, Ahad / Takian, Amirhossein / Olyaeemanesh, Alireza / Behzadifar, Masoud / Takbiri, Afsaneh / Sazgarnejad, Saharnaz / Kargar, Sahar

    International journal of public health

    2023  Volume 68, Page(s) 1606268

    Abstract: Objective: ...

    Abstract Objective:
    MeSH term(s) Humans ; Transients and Migrants ; Refugees ; Iran ; Health Services Accessibility ; Policy
    Language English
    Publishing date 2023-09-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2274130-6
    ISSN 1661-8564 ; 1661-8556
    ISSN (online) 1661-8564
    ISSN 1661-8556
    DOI 10.3389/ijph.2023.1606268
    Database MEDical Literature Analysis and Retrieval System OnLINE

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

    Ramezani, Maryam / Takian, Amirhossein / Bakhtiari, Ahad / Rabiee, Hamid R / Fazaeli, Ali Akbar / Sazgarnejad, Saharnaz

    Cost effectiveness and resource allocation : C/E

    2023  Volume 21, Issue 1, Page(s) 83

    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 ... ...

    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.
    Language English
    Publishing date 2023-11-06
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2119372-1
    ISSN 1478-7547
    ISSN 1478-7547
    DOI 10.1186/s12962-023-00492-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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

    Ramezani, Maryam / Takian, Amirhossein / Bakhtiari, Ahad / Rabiee, Hamid R / Ghazanfari, Sadegh / Sazgarnejad, Saharnaz

    BioData mining

    2023  Volume 16, Issue 1, Page(s) 31

    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 ... ...

    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.
    Language English
    Publishing date 2023-10-31
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2438773-3
    ISSN 1756-0381
    ISSN 1756-0381
    DOI 10.1186/s13040-023-00346-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Global school-based student health survey: country profiles and survey results in the eastern Mediterranean region countries.

    Abdalmaleki, Elham / Abdi, Zhaleh / Isfahani, Sahand Riazi / Safarpoor, Sara / Haghdoost, Bahar / Sazgarnejad, Saharnaz / Ahmadnezhad, Elham

    BMC public health

    2022  Volume 22, Issue 1, Page(s) 130

    Abstract: Background: The increasing prevalence of non-communicable diseases (NCDs) has some major implications on many countries to achieve universal health coverage. This study aimed to investigate the implementation of Global School-based Student Health Survey ...

    Abstract Background: The increasing prevalence of non-communicable diseases (NCDs) has some major implications on many countries to achieve universal health coverage. This study aimed to investigate the implementation of Global School-based Student Health Survey (GSHS), which is used to assess the risk factors of NCDs among children and adolescents in the eastern Mediterranean region (EMR).
    Methods: This study was a meta-analysis and systematic literature review of 2001-2018 published studies, which were found by searching PubMed, Google Scholar, WHO, and CDC databases. In this study, the target group was students aged between 13 and 17 years old. GSHS implementation as well as risk factors of NCDs were compared across different countries. The random-effect model for meta-analysis was considered at 95% confidence interval.
    Result: In the EMR, 19 countries have implemented GSHS at least once following the survey manual (37 surveys). Overall, 201,795 students were included in our analysis. The overall estimation prevalence rateof the overweight was 24.5% (20.6-28.8), obesity was 7.3% (5.4-9.5), insufficient physical activity was 82.4% (80.7-84.1), tobacco usage was 14.3% (10.53-18.67), and smoking was 9.6% (8.1-11.3), respectively. Among those aged 13 to 17 years old, these rates were estimated as 19.8 (13.2-27.3), 9.7 (6.2-14.0), 86.1 (84.1-87.9), 17.8 (11.8-24.7), and 11.5 (9.4-13.8), respectively.
    Conclusion: GSHS has been widely implemented across EMR countries. Using nationally representative data, the results show that more efforts are needed to target the NCDs risk factors among adolescents in the region.
    MeSH term(s) Adolescent ; Child ; Global Health ; Health Surveys ; Humans ; Mediterranean Region/epidemiology ; Noncommunicable Diseases/epidemiology ; Prevalence ; Schools ; Students ; Surveys and Questionnaires
    Language English
    Publishing date 2022-01-19
    Publishing country England
    Document type Journal Article ; Meta-Analysis ; Systematic Review
    ZDB-ID 2041338-5
    ISSN 1471-2458 ; 1471-2458
    ISSN (online) 1471-2458
    ISSN 1471-2458
    DOI 10.1186/s12889-022-12502-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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