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  1. Article ; Online: Social determinants of health and disparities in pediatric trauma care: protocol for a systematic review and meta-analysis.

    Gnanvi, Janyce Eunice / Yanchar, Natalie / Freire, Gabrielle / Beaulieu, Emilie / Tardif, Pier-Alexandre / Bérubé, Mélanie / Macpherson, Alison / Pike, Ian / Zemek, Roger / Gagnon, Isabelle J / Carsen, Sasha / Gabbe, Belinda / Gnanou, Soualio / Duval, Cécile / Moore, Lynne

    Systematic reviews

    2024  Volume 13, Issue 1, Page(s) 94

    Abstract: Background: Social determinants of health (SDH), including "the conditions in which individuals are born, grow, work, live and age" affect child health and well-being. Several studies have synthesized evidence about the influence of SDH on childhood ... ...

    Abstract Background: Social determinants of health (SDH), including "the conditions in which individuals are born, grow, work, live and age" affect child health and well-being. Several studies have synthesized evidence about the influence of SDH on childhood injury risks and outcomes. However, there is no systematic evidence about the impact of SDH on accessing care and quality of care once a child has suffered an injury. We aim to evaluate the extent to which access to care and quality of care after injury are affected by children and adolescents' SDH.
    Methods: Using Cochrane methodology, we will conduct a systematic review including observational and experimental studies evaluating the association between social/material elements contributing to health disparities, using the PROGRESS-Plus framework: place of residence, race/ethnicity/culture/language, occupation, gender/sex, religion, education, socioeconomic status, and social capital and care received by children and adolescents (≤ 19 years of age) after injury. We will consult published literature using PubMed, EMBASE, CINAHL, PsycINFO, Web of Science, and Academic Search Premier and grey literature using Google Scholar from their inception to a maximum of 6 months prior to submission for publication. Two reviewers will independently perform study selection, data extraction, and risk of bias assessment for included studies. The risk of bias will be assessed using the ROBINS-E and ROB-2 tools respectively for observational and experimental study designs. We will analyze data to perform narrative syntheses, and if enough studies are identified, we will conduct a meta-analysis using random effects models.
    Discussion: This systematic review will provide a synthesis of evidence on the association between SDH and pediatric trauma care (access to care and quality of care) that clinicians and policymakers can use to better tailor care systems and promote equitable access and quality of care for all children. We will share our findings through clinical rounds, conferences, and publication in a peer-reviewed journal.
    Systematic review registration: PROSPERO CRD42023408467.
    MeSH term(s) Female ; Adolescent ; Humans ; Child ; Social Determinants of Health ; Systematic Reviews as Topic ; Meta-Analysis as Topic ; Research Design ; Emergency Medical Services
    Language English
    Publishing date 2024-03-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 2662257-9
    ISSN 2046-4053 ; 2046-4053
    ISSN (online) 2046-4053
    ISSN 2046-4053
    DOI 10.1186/s13643-024-02510-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: On the reliability of predictions on Covid-19 dynamics: A systematic and critical review of modelling techniques.

    Gnanvi, Janyce Eunice / Salako, Kolawolé Valère / Kotanmi, Gaëtan Brezesky / Glèlè Kakaï, Romain

    Infectious Disease Modelling

    2021  Volume 6, Page(s) 258–272

    Abstract: Since the emergence of the novel 2019 coronavirus pandemic in December 2019 (COVID-19), numerous modellers have used diverse techniques to assess the dynamics of transmission of the disease, predict its future course and determine the impact of different ...

    Abstract Since the emergence of the novel 2019 coronavirus pandemic in December 2019 (COVID-19), numerous modellers have used diverse techniques to assess the dynamics of transmission of the disease, predict its future course and determine the impact of different control measures. In this study, we conducted a global systematic literature review to summarize trends in the modelling techniques used for Covid-19 from January 1st
    Language English
    Publishing date 2021-01-12
    Publishing country China
    Document type Journal Article
    ZDB-ID 3015225-2
    ISSN 2468-0427 ; 2468-2152
    ISSN (online) 2468-0427
    ISSN 2468-2152
    DOI 10.1016/j.idm.2020.12.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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