Remote and at-home data collection: Considerations for the NIH HEALthy Brain and Cognitive Development (HBCD) study.

Remote and at-home data collection: Considerations for the NIH HEALthy Brain and Cognitive Development (HBCD) study.
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DOI:
10.1016/j.dcn.2022.101059
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发表时间:
2022-04
影响因子:
4.7
通讯作者:
Fifer WP
Fifer WP
中科院分区:
医学1区
文献类型:
--
作者:
Deoni SCL;D'Sa V;Volpe A;Beauchemin J;Croff JM;Elliott AJ;Pini N;Lucchini M;Fifer WP

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美国国立卫生研究院(NIH)的健康大脑与认知发展(HBCD)研究旨在描述胎儿期接触物质以及相关环境暴露对儿童神经发育和健康结果的影响。HBCD的一个重点是阿片类药物暴露,这种情况对农村地区的影响尤为严重。虽然大多数阿片类药物使用和新生儿戒断综合征的病例都报告在大城市之外,但在涉及神经影像学、现场评估或生物样本采集的大规模临床研究中,农村社区往往代表性不足。因此,HBCD所关注的社区和能够参与研究的社区之间可能存在不匹配的情况。然而,考虑到预期的研究负担和访视频率,即使是地理位置相近的参与者也可能偏向于社会经济地位较高的人群。然而,可穿戴设备、“近体设备”以及其他消费级生物传感器越来越有能力收集连续的生理和环境暴露数据,便于进行远程评估。我们探讨了这些技术在远程原位数据收集方面的潜力,以及吸引受影响的农村社区参与的能力。虽然这些技术不一定能替代传统的基于实验室的“金标准”方法,但它们是对传统方法的有力补充,具有极大的潜力来扩大研究的范围和重要性。
The NIH HEALthy Brain and Cognitive Development (HBCD) study aims to characterize the impact of in utero exposure to substances, and related environmental exposures on child neurodevelopment and health outcomes. A key focus of HBCD is opioid exposure, which has disproportionately affected rural areas. While most opioid use and neonatal abstinence syndrome has been reported outside of large cities, rural communities are often under-represented in large-scale clinical research studies that involve neuroimaging, in-person assessments, or bio-specimen collections. Thus, there exists a likely mismatch between the communities that are the focus of HBCD and those that can participate. Even geographically proximal participants, however, are likely to bias towards higher socioeconomic status given the anticipated study burden and visit frequency. Wearables, ‘nearables’, and other consumer biosensors, however, are increasingly capable of collecting continuous physiologic and environmental exposure data, facilitating remote assessment. We review the potential of these technologies for remote in situ data collection, and the ability to engage rural, affected communities. While not necessarily a replacement, these technologies offer a compelling complement to traditional ‘gold standard’ lab-based methods, with significant potential to expand the study’s reach and importance.
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