Cokljat Mia, Henderson James, Paterson Angus, Rudan Igor, Stevens Gretchen A
a Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics , University of Edinburgh , Edinburgh , UK.
b Department of Information, Evidence and Research , World Health Organization , Geneva , Switzerland.
Glob Health Action. 2017 Jan-Dec;10(sup1):1267958. doi: 10.1080/16549716.2017.1267958.
Generating estimates of health indicators at the global, regional, and country levels is increasingly in demand in order to meet reporting requirements for global and country targets, such as the sustainable development goals (SDGs). However, such estimates are sensitive to availability of input data, underlying analytic assumptions, variability in statistical techniques, and often have important limitations. From a user perspective, there is often a lack of transparency and replicability. In order to define best practices in reporting data and methods used to calculate health estimates, the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER) working group developed a minimum checklist of 18 items that must be reported within each study publishing health estimates, so that users may make an assessment of the quality of the estimate.
We conducted a scoping review to assess the state of reporting amongst a cross-sectional sample of studies published prior to the publication of GATHER.
We generated a sample of UN reports and journal articles through a combination of a Medline search and hand-searching published health estimates. From these studies we extracted the percentage of studies correctly reporting each item on the checklist, the proportion of items reported per study (the GATHER performance score), and how this score varied depending on study type.
The average proportion of items reported per study was 0.47, and the poorest-performing items related to documentation and availability of input data, availability of the statistical code used and the subsequent output data, and a complete detailed description of all the steps of the data analysis.
Methods for health estimates are not currently fully reported, and the implementation of the GATHER guidelines will improve the availability of information required to make an assessment of study quality.
为满足全球和国家目标(如可持续发展目标)的报告要求,全球、区域和国家层面的健康指标估计需求日益增加。然而,此类估计对输入数据的可用性、潜在分析假设、统计技术的变异性敏感,且往往存在重要局限性。从用户角度来看,通常缺乏透明度和可重复性。为了定义报告用于计算健康估计值的数据和方法的最佳实践,准确和透明健康估计报告指南(GATHER)工作组制定了一份包含18项内容的最低清单,每项研究在发表健康估计值时都必须报告这些内容,以便用户能够评估估计值的质量。
我们进行了一项范围综述,以评估在GATHER发布之前发表的横断面研究样本中的报告情况。
我们通过结合Medline搜索和手工搜索已发表的健康估计值,生成了联合国报告和期刊文章的样本。从这些研究中,我们提取了正确报告清单上每项内容的研究百分比、每项研究报告的内容比例(GATHER绩效得分),以及该得分如何因研究类型而异。
每项研究报告的平均内容比例为0.47,表现最差的内容涉及输入数据的记录和可用性、所用统计代码和后续输出数据的可用性,以及对数据分析所有步骤的完整详细描述。
目前健康估计方法尚未得到充分报告,GATHER指南的实施将提高评估研究质量所需信息的可用性。