Zeleke Atinkut Alamirrew, Naziyok Tolga, Fritz Fleur, Röhrig Rainer
Division of Medical Informatics, Department of Health Services Research, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.
Institute of Medical Informatics, University of Münster, Münster, Germany.
JMIR Res Protoc. 2019 Jan 30;8(1):e10678. doi: 10.2196/10678.
Population-level survey is an essential standard method used in public health research to quantify sociodemographic events and support public health policy development and intervention designs with evidence. Although all steps in the survey can contribute to the data quality parameters, data collection mechanisms seem the most determinant, as they can avoid mistakes before they happen. The use of electronic devices such as smartphones and tablet computers improve the quality and cost-effectiveness of public health surveys. However, there is lack of systematically analyzed evidence to show the potential impact on data quality and cost reduction of electronic-based data collection tools in interviewer-administered surveys.
This systematic review aims to evaluate the impact of interviewer-administered electronic device data collection methods concerning data quality and cost reduction in population-level surveys compared with the traditional paper-based methods.
We will conduct a systematic search on Medical Literature Analysis and Retrieval System Online, PubMed, CINAHL, PsycINFO, Global Health, Trip, ISI Web of Science, and Cochrane Library for studies from 2007 to 2018 to identify relevant studies. The review will include randomized and nonrandomized studies that examine data quality and cost reduction outcomes. Moreover, usability, user experience, and usage parameters from the same study will be summarized. Two independent authors will screen the title and abstract. A third author will mediate in cases of disagreement. If the studies are considered to be combinable with minimal heterogeneity, we will perform a meta-analysis.
The preliminary search in PubMed and Web of Science showed 1491 and 979 resulting hits of articles, respectively. The review protocol is registered in the International Prospective Register of Systematic Reviews (CRD42018092259). We anticipate January 30, 2019, to be the finishing date.
This systematic review will inform policymakers, investors, researchers, and technologists about the impact of an electronic-based data collection system on data quality, work efficiency, and cost reduction.
PROSPERO CRD42018092259; http://www.crd.york.ac.uk/PROSPERO/display_record.php?ID= CRD42018092259.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/10678.
人群层面的调查是公共卫生研究中用于量化社会人口学事件并为公共卫生政策制定和干预设计提供证据支持的重要标准方法。尽管调查中的所有步骤都可能影响数据质量参数，但数据收集机制似乎是最具决定性的，因为它可以在错误发生之前避免错误。使用智能手机和平板电脑等电子设备可提高公共卫生调查的质量和成本效益。然而，缺乏系统分析的证据来表明在访谈式调查中基于电子的数据收集工具对数据质量和成本降低的潜在影响。
本系统评价旨在评估与传统纸质方法相比，访谈式电子设备数据收集方法在人群层面调查中对数据质量和成本降低的影响。
我们将在医学文献分析和检索系统在线数据库（MEDLINE）、PubMed、护理学与健康领域数据库（CINAHL）、心理学文摘数据库（PsycINFO）、全球健康数据库、循证医学数据库（Trip）、科学引文索引扩展版（ISI Web of Science）和考克兰图书馆中进行系统检索，以查找2007年至2018年的相关研究。该评价将纳入检查数据质量和成本降低结果的随机和非随机研究。此外，还将总结同一研究中的可用性、用户体验和使用参数。两名独立作者将筛选标题和摘要。如有分歧，将由第三名作者进行仲裁。如果认为这些研究具有最小异质性且可合并，我们将进行荟萃分析。
在PubMed和科学引文索引扩展版（Web of Science）中的初步检索分别显示有1491篇和979篇文章命中。该评价方案已在国际前瞻性系统评价注册库（CRD42018092259）中注册。我们预计2019年1月30日为完成日期。
本系统评价将向政策制定者、投资者、研究人员和技术专家通报基于电子的数据收集系统对数据质量、工作效率和成本降低的影响。
国际前瞻性系统评价注册库（PROSPERO）CRD42018092259；http://www.crd.york.ac.uk/PROSPERO/display_record.php?ID= CRD42018092259。
国际注册报告识别号（IRRID）：PRR1-10.2196/10678。
