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Abstract：
BACKGROUND: Birth injury is a significant public health problem in Africa, with a high incidence and associated mortality and morbidity. Systematic reviews that indicate the incidence, contributing factors and outcomes of birth injury in Africa provide valuable evidence to policy-makers and programme planners for improving prevention and treatment strategies. Therefore, this review is aimed to evaluate the incidence, contributing factors and outcomes of birth injury among newborns in Africa.
METHODS: The data will be searched and extracted from JBI Database, Cochrane Database, MEDLINE/PubMed, CINAHL/EBSCO, EMBASE, PEDro, POPLINE, Proquest, OpenGrey (SIGLE), Google Scholar, Google, APA PsycInfo, Web of Science, Scopus and HINARI. Unpublished studies and grey literature will be searched from different sources. This systematic review will include quantitative observational studies, registry and census data, and experimental studies that report on the prevalence or incidence in Africa from 1 January 1990 to 30 September 2023. The Joanna Briggs Institute (JBI) quality appraisal checklist will be used to select eligible studies. Two researchers will independently appraise and extract the data from included studies and resolve discrepancies through discussion. Heterogeneity will be assessed using forest plots and the I2 statistic. If substantial heterogeneity is present, a random-effects model will be used to pool the data. Subgroup analyses will be used to explore the potential sources of heterogeneity. Publication bias will be assessed using funnel plots and Egger\'s regression test. The software package used to conduct the meta-analysis will be JBI SUMARI. An association will be considered significant if the p<0.05.
BACKGROUND: Ethical clearance is not needed for this systematic review and the results will be shared with relevant stakeholders to maximise reach and impact.
UNASSIGNED: CRD42023123637.
METHODS: The data will be searched and extracted from JBI Database, Cochrane Database, MEDLINE/PubMed, CINAHL/EBSCO, EMBASE, PEDro, POPLINE, Proquest, OpenGrey (SIGLE), Google Scholar, Google, APA PsycInfo, Web of Science, Scopus and HINARI. Unpublished studies and grey literature will be searched from different sources. This systematic review will include quantitative observational studies, registry and census data, and experimental studies that report on the prevalence or incidence in Africa from 1 January 1990 to 30 September 2023. The Joanna Briggs Institute (JBI) quality appraisal checklist will be used to select eligible studies. Two researchers will independently appraise and extract the data from included studies and resolve discrepancies through discussion. Heterogeneity will be assessed using forest plots and the I2 statistic. If substantial heterogeneity is present, a random-effects model will be used to pool the data. Subgroup analyses will be used to explore the potential sources of heterogeneity. Publication bias will be assessed using funnel plots and Egger\'s regression test. The software package used to conduct the meta-analysis will be JBI SUMARI. An association will be considered significant if the p<0.05.
BACKGROUND: Ethical clearance is not needed for this systematic review and the results will be shared with relevant stakeholders to maximise reach and impact.
UNASSIGNED: CRD42023123637.
摘要：
背景：出生伤害是非洲的重大公共卫生问题，具有高发病率和相关的死亡率和发病率。表明发病率的系统评价，非洲出生伤害的影响因素和结果为政策制定者和方案规划者改进预防和治疗策略提供了有价值的证据.因此,这篇综述旨在评估发病率，非洲新生儿出生伤害的影响因素和结局。
方法：将从JBI数据库中搜索和提取数据，Cochrane数据库,MEDLINE/PubMed,CINAHL/EBSCO,EMBASE,PEDro,POPLINE,Proquest,OpenGrey(SIGLE),谷歌学者，Google,APAPsycInfo，WebofScience,Scopus和Hinari.将从不同来源搜索未发表的研究和灰色文献。本系统综述将包括定量观察研究，登记和人口普查数据，和报告1990年1月1日至2023年9月30日非洲患病率或发病率的实验研究。乔安娜布里格斯研究所（JBI）质量评估清单将用于选择符合条件的研究。两名研究人员将独立评估和提取纳入研究的数据，并通过讨论解决差异。异质性将使用森林地块和I2统计量进行评估。如果存在实质性异质性，将使用随机效应模型来汇集数据。亚组分析将用于探索异质性的潜在来源。发表偏倚将使用漏斗图和Egger回归检验进行评估。用于进行荟萃分析的软件包将是JBISUMARI。如果p<0.05,则认为关联是显著的。
背景：本系统审查不需要进行道德审查，其结果将与相关利益相关者共享，以最大程度地扩大影响范围和影响。
■CRD42023123637。
方法：将从JBI数据库中搜索和提取数据，Cochrane数据库,MEDLINE/PubMed,CINAHL/EBSCO,EMBASE,PEDro,POPLINE,Proquest,OpenGrey(SIGLE),谷歌学者，Google,APAPsycInfo，WebofScience,Scopus和Hinari.将从不同来源搜索未发表的研究和灰色文献。本系统综述将包括定量观察研究，登记和人口普查数据，和报告1990年1月1日至2023年9月30日非洲患病率或发病率的实验研究。乔安娜布里格斯研究所（JBI）质量评估清单将用于选择符合条件的研究。两名研究人员将独立评估和提取纳入研究的数据，并通过讨论解决差异。异质性将使用森林地块和I2统计量进行评估。如果存在实质性异质性，将使用随机效应模型来汇集数据。亚组分析将用于探索异质性的潜在来源。发表偏倚将使用漏斗图和Egger回归检验进行评估。用于进行荟萃分析的软件包将是JBISUMARI。如果p<0.05,则认为关联是显著的。
背景：本系统审查不需要进行道德审查，其结果将与相关利益相关者共享，以最大程度地扩大影响范围和影响。
■CRD42023123637。
