Moritz T E, Ellis N K, VillaNueva C B, Steeger J E, Ludwig S T, Deegan N I, Shroyer A L, Henderson W G, Sethi G K, Grover F L
Center for Cooperative Studies in Health Services, Edward Hines Jr. Veterans Affairs Hospital, Illinois 60141-5151, USA.
Med Care. 1995 Oct;33(10 Suppl):OS102-6. doi: 10.1097/00005650-199510001-00011.
Accurate collection and successful management of data are problems common to all scientific studies. For studies in which large quantities of data are collected by means of questionnaires and/or forms, data base management becomes quite laborious and time consuming. Data base management comprises data collection, data entry, data editing, and data base maintenance. In this article, the authors describe the development of an interactive data base management (IDM) system for the collection of more than 1,400 variables from a targeted population of 6,000 patients undergoing heart surgery requiring cardiopulmonary bypass. The goals of the IDM system are to increase the accuracy and efficiency with which this large amount of data is collected and processed, to reduce research nurse work load through automation of certain administrative and clerical activities, and to improve the process for implementing a uniform study protocol, standardized forms, and definitions across sites.
准确收集和成功管理数据是所有科学研究共有的问题。对于通过问卷和/或表格收集大量数据的研究,数据库管理变得相当费力且耗时。数据库管理包括数据收集、数据录入、数据编辑和数据库维护。在本文中,作者描述了一个交互式数据库管理(IDM)系统的开发,该系统用于从6000名接受需要体外循环的心脏手术的目标患者群体中收集1400多个变量。IDM系统的目标是提高收集和处理大量数据的准确性和效率,通过自动化某些行政和文书工作来减轻研究护士的工作量,并改进在各个地点实施统一研究方案、标准化表格和定义的流程。