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新生儿听力障碍的识别:实验方案与数据库管理

Identification of neonatal hearing impairment: experimental protocol and database management.

作者信息

Harrison W A, Dunnell J J, Mascher K, Fletcher K, Vohr B R, Gorga M P, Widen J E, Cone-Wesson B, Folsom R C, Sininger Y S, Norton S J

机构信息

Multicenter Consortium on Identification of Neonatal Hearing Impairment, Seattle, Washington, USA.

出版信息

Ear Hear. 2000 Oct;21(5):357-72. doi: 10.1097/00003446-200010000-00004.

DOI:10.1097/00003446-200010000-00004
PMID:11059698
Abstract

OBJECTIVE

The purposes of this article are to describe the overall protocol for the Identification of Neonatal Hearing Impairment (INHI) project and to describe the management of the data collected as part of this project. A well-defined protocol and database management techniques were needed to ensure that data were 1) collected accurately and in the same way across sites; 2) maintained in a database that could be used to provide feedback to individual sites regarding enrollment and the extent to which the protocol was complete on individual subjects; and 3) available to answer project questions. This article describes techniques that were used to meet these needs.

DESIGN

This study was a prospective, randomized study that was designed to evaluate auditory brain stem responses, transient evoked otoacoustic emissions, and distortion product otoacoustic emissions as hearing-screening tools, and to relate neonatal test findings to hearing status, defined by visual reinforcement audiometry at 8 to 12 mo of age. Measures of middle-ear function also were obtained at some sites as part of the neonatal test battery. In addition, other clinical and demographic data were gathered to determine the extent to which factors, other than auditory status, influenced test behavior. Three groups were evaluated: neonatal intensive care unit (NICU) infants (those who spent 3 or more days in a NICU), well babies with risk factors for hearing loss, and well babies without risk factors. Six centers participated in the trial. The testers for the project included audiologists, technicians, audiology graduate students, and medical research staff. The same computerized neonatal test program was applied at each center. This program generated the neonatal test database automatically. Clinical and demographic data were collected by means of concise data collection forms and were entered into a database at each site. After the neonatal test, subjects from the NICU and at-risk well babies were evaluated with visual reinforcement audiometry starting at 8 to 12 mo of age. All data were electronically transmitted to the core site where they were merged into one overall database. This database was exercised to provide feedback and to identify discrepancies throughout the course of the study. In its final form, it served as the database on which all analyses were performed.

RESULTS AND CONCLUSION

The protocol was a departure from typical hearing screening procedures in terms of 1) its regimented application of three screening measures; 2) the detailed information that was obtained regarding subject clinical and demographic factors; and 3) its application of the same procedures across six centers having diverse geographic location and subject demographics. A learning curve for successfully executing the study protocols was observed. Throughout the study, monthly reports were generated to monitor subject enrollment, check for data completeness, and to perform data integrity checks. In combination with monthly data reports and checks that occurred throughout the progression of the study, miscellaneous data audits were performed to check accuracy of neonatal testing programs and to cross-check information entered in the clinical and demographic database. The data management techniques used in this project helped to ensure the quality of the data collection process and also allowed for detailed analyses once data were collected. This was particularly important because it enabled us to evaluate not only the performance of individual measures as screening tools, but also permitted an evaluation of the influence of other variables on screening test results.

摘要

目的

本文旨在描述新生儿听力障碍识别(INHI)项目的总体方案,并介绍作为该项目一部分所收集数据的管理情况。需要一个定义明确的方案和数据库管理技术,以确保数据能够:1)准确收集且各站点收集方式一致;2)存储在一个数据库中,该数据库可用于向各站点反馈入组情况以及个体受试者方案完成的程度;3)可用于回答项目相关问题。本文介绍了用于满足这些需求的技术。

设计

本研究是一项前瞻性随机研究,旨在评估听觉脑干反应、瞬态诱发耳声发射和畸变产物耳声发射作为听力筛查工具的效果,并将新生儿测试结果与8至12月龄时通过视觉强化测听法定义的听力状况相关联。作为新生儿测试组合的一部分,部分站点还获取了中耳功能的测量数据。此外,还收集了其他临床和人口统计学数据,以确定除听觉状态外的其他因素对测试行为的影响程度。对三组进行了评估:新生儿重症监护病房(NICU)婴儿(在NICU中度过3天或更长时间的婴儿)、有听力损失风险因素的健康婴儿以及无风险因素的健康婴儿。六个中心参与了该试验。该项目的测试人员包括听力学家、技术人员、听力专业研究生和医学研究人员。每个中心都应用了相同的计算机化新生儿测试程序。该程序自动生成新生儿测试数据库。临床和人口统计学数据通过简洁的数据收集表收集,并在每个站点输入数据库。新生儿测试后,从8至12月龄开始,对NICU中的受试者和有风险的健康婴儿进行视觉强化测听评估。所有数据都通过电子方式传输到核心站点,在那里它们被合并到一个总体数据库中。在研究过程中,使用该数据库提供反馈并识别差异。最终,它成为了进行所有分析的数据库。

结果与结论

该方案在以下方面与典型的听力筛查程序不同:1)对三种筛查措施的严格应用;2)获得的关于受试者临床和人口统计学因素的详细信息;3)在地理位置和受试者人口统计学各不相同的六个中心应用相同的程序。观察到了成功执行研究方案的学习曲线。在整个研究过程中,每月生成报告以监测受试者入组情况、检查数据完整性并进行数据完整性检查。结合研究过程中每月的数据报告和检查,进行了各种数据审核,以检查新生儿测试程序的准确性,并交叉核对临床和人口统计学数据库中输入的信息。本项目中使用的数据管理技术有助于确保数据收集过程的质量,并且在数据收集后还允许进行详细分析。这一点尤为重要,因为它不仅使我们能够评估各个测量方法作为筛查工具的性能,还能评估其他变量对筛查测试结果的影响。

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