PDF(Pubmed)
Abstract：
Vaccine coverage remains inequitable globally. Many systematic reviews have looked at the effectiveness of strategies to improve vaccine uptake; however, these reviews frequently lack data from low and middle-income countries (LMICs), where evidence of cost-effective strategies is most valuable. This is partly because reviews often exclude non-randomised, observational or unpublished evaluations that are common in LMICs. Many reviews also exclude multicomponent interventions due to challenges isolating the effect of each component. A comprehensive mapping of multicomponent interventions implemented in LMICs would increase the visibility of studies excluded from systematic reviews and improve comparability of future evaluations by providing guidance for researchers on evaluation frameworks. This scoping review aims to identify, compare and summarise the properties and evaluation methods of multicomponent interventions to improve uptake of routine childhood vaccines in LMICs, and to assess the strengths and limitations of evaluation frameworks applied.
This review will be conducted using the Joanna Briggs Institute methodology for scoping reviews and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews guidelines. We will search the following databases: MEDLINE, Embase, PubMed, Cochrane, Eldis and Global Health (CAB Direct), Global Index Medicus, 3ie Portal, Google Scholar, COnnecting REpositories, and reference lists. One author will screen titles and abstracts and extract data from included articles using a pretested data extraction template. Uncertainties will be resolved through discussion with another author. Only studies published in English will be included for full review. We will assess the practicability, applicability, sensitivity and specificity of the evaluation frameworks used and present results using descriptive statistics, summary tables and charts.
Ethics approval is not required. The review will be submitted as part of a doctoral thesis, presented at conferences and published in peer-reviewed journals.
https://osf.io/7r84g.
This review will be conducted using the Joanna Briggs Institute methodology for scoping reviews and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews guidelines. We will search the following databases: MEDLINE, Embase, PubMed, Cochrane, Eldis and Global Health (CAB Direct), Global Index Medicus, 3ie Portal, Google Scholar, COnnecting REpositories, and reference lists. One author will screen titles and abstracts and extract data from included articles using a pretested data extraction template. Uncertainties will be resolved through discussion with another author. Only studies published in English will be included for full review. We will assess the practicability, applicability, sensitivity and specificity of the evaluation frameworks used and present results using descriptive statistics, summary tables and charts.
Ethics approval is not required. The review will be submitted as part of a doctoral thesis, presented at conferences and published in peer-reviewed journals.
https://osf.io/7r84g.
摘要：
背景：全球疫苗覆盖率仍然不公平。许多系统评价已经研究了提高疫苗摄取的策略的有效性；然而，这些审查经常缺乏来自低收入和中等收入国家(LMICs)的数据，其中成本效益战略的证据是最有价值的。这部分是因为评论经常排除非随机的，在LMIC中常见的观察性或未发表的评估。许多评论还排除了多组分干预措施，因为将每个组成部分的影响隔离开来存在挑战。对低收入和中等收入国家实施的多部分干预措施进行全面绘制，将提高被排除在系统评价之外的研究的可见度，并通过为研究人员提供评价框架方面的指导，提高未来评价的可比性。这项范围审查旨在确定，比较和总结多组分干预措施的性质和评估方法，以提高LMIC对常规儿童疫苗的吸收，并评估所应用的评估框架的优势和局限性。
方法：本次审查将使用JoannaBriggsInstitute的范围审查方法进行，并根据系统审查和Meta分析扩展范围审查指南的首选报告项目进行报告。我们将搜索以下数据库：MEDLINE,Embase,PubMed,科克伦,Eldis和全球健康（CABDirect），全球指数Medicus，3ie门户，谷歌学者，连接存储库，和参考列表。一位作者将筛选标题和摘要，并使用预先测试的数据提取模板从包含的文章中提取数据。不确定性将通过与另一位作者讨论来解决。只有以英文发表的研究将被纳入全面审查。我们将评估实用性，适用性,使用的评估框架的敏感性和特异性，并使用描述性统计数据显示结果，汇总表和图表。
背景：不需要道德批准。该评论将作为博士论文的一部分提交，在会议上发表，并在同行评审的期刊上发表。
背景：https://osf.io/7r84g。
方法：本次审查将使用JoannaBriggsInstitute的范围审查方法进行，并根据系统审查和Meta分析扩展范围审查指南的首选报告项目进行报告。我们将搜索以下数据库：MEDLINE,Embase,PubMed,科克伦,Eldis和全球健康（CABDirect），全球指数Medicus，3ie门户，谷歌学者，连接存储库，和参考列表。一位作者将筛选标题和摘要，并使用预先测试的数据提取模板从包含的文章中提取数据。不确定性将通过与另一位作者讨论来解决。只有以英文发表的研究将被纳入全面审查。我们将评估实用性，适用性,使用的评估框架的敏感性和特异性，并使用描述性统计数据显示结果，汇总表和图表。
背景：不需要道德批准。该评论将作为博士论文的一部分提交，在会议上发表，并在同行评审的期刊上发表。
背景：https://osf.io/7r84g。
