Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA.
Barau Dikko Teaching Hospital, Kaduna, Nigeria.
Paediatr Perinat Epidemiol. 2020 Sep;34(5):532-543. doi: 10.1111/ppe.12641. Epub 2020 Feb 21.
Developing countries bear the burden of childhood stunting but lack resources for cohort studies to develop preventive strategies. To enable future prospective studies, we designed and tested the Child Electronic Growth Monitoring System (CEGROMS) using a readily available electronic data capture platform, the Research Electronic Data Capture (REDCap).
To demonstrate the feasibility of using CEGROMS for data collection for a pilot study for the Kaduna Infant Development (KID) Birth Cohort Study in Nigeria.
CEGROMS consists of the data capture form for growth monitoring, a central cloud server, electronic tablets, and desktop computer. We implemented the pilot study in 2017-2019 at the Barau Dikko Teaching Hospital, Kaduna, Nigeria. Odds ratios (OR) and 95% confidence intervals (CI) were calculated for completeness of baseline data (relative to individuals with incomplete data) and completion of follow-up at different time points (relative to individuals with no follow-up visit) by the participant characteristics. Complete data were defined as date of birth, sex, and birthweight recorded at recruitment.
Among 3152 infant records in CEGROMS, 2789 (88.5%) had complete data. Of these, 1905 (68.3%) had at least one follow-up visit. The main determinants of data completeness were health facility delivery (OR 19.17, 95% CI 13.65, 26.92) and tertiary education (OR 3.54, 95% CI 2.69, 4.67). Follow-up was greater for women with tertiary education (OR 1.33, 95% CI 1.06, 1.51 for at least one visit). Maternal education is associated with completeness and follow-up (following adjustments for parity and employment).
The CEGROMS electronic data collection system enables complete and consistent data collection. The data will enable design of strategies to improve follow-up in the future implementation of the birth cohort study.
发展中国家承担着儿童发育迟缓的负担，但缺乏资源来开展队列研究以制定预防策略。为了能够进行未来的前瞻性研究，我们设计并测试了使用现成的电子数据采集平台 Research Electronic Data Capture (REDCap) 的儿童电子生长监测系统（CEGROMS）。
展示使用 CEGROMS 为尼日利亚卡杜纳婴儿发育（KID）出生队列研究的试点研究进行数据收集的可行性。
CEGROMS 由生长监测数据采集表、中央云服务器、电子平板电脑和台式电脑组成。我们于 2017 年至 2019 年在尼日利亚卡杜纳的 Barau Dikko 教学医院实施了该试点研究。通过参与者特征计算了基线数据完整性（相对于数据不完整的个体）和不同时间点随访完成情况（相对于无随访个体）的比值比（OR）和 95%置信区间（CI）。完整数据定义为在招募时记录的出生日期、性别和出生体重。
CEGROMS 中的 3152 名婴儿记录中，有 2789 名（88.5%）具有完整数据。其中，有 1905 名（68.3%）至少有一次随访。数据完整性的主要决定因素是医疗机构分娩（OR 19.17，95%CI 13.65，26.92）和高等教育（OR 3.54，95%CI 2.69，4.67）。具有高等教育背景的女性随访率更高（至少一次随访的 OR 1.33，95%CI 1.06，1.51）。产妇教育与完整性和随访有关（在调整了生育次数和就业情况后）。
CEGROMS 电子数据采集系统能够实现完整且一致的数据采集。这些数据将为未来实施出生队列研究制定提高随访率的策略提供依据。
