A web-based data management system to improve care for depression in a multicenter clinical trial.
A web-based data management system to improve care for depression in a multicenter clinical trial.
复制标题
一个基于网络的数据管理系统,用于改善多中心临床试验中抑郁症的护理。
DOI:
10.1176/ps.53.6.671
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发表时间:
2002
影响因子:
3.8
通讯作者:
S. Oishi
中科院分区:
文献类型:
--
作者:
J. Unützer;Youlim Choi;I. Cook;S. Oishi
I n 2001 more than half of all Amer-icans had access to the Internet, and many were using it to seek information about health problems such as depression (1). Researchers have also started to use the Internet to support data collection in multicenter studies (2–5). In this column we describe a Web-based data management system developed to support a multicenter trial of a disease management program for late-life depression in primary care (Project IMPACT) (6). In earlier studies, we used paper-based study records to track study recruitment and intervention activities. These records were transmitted to a coordinating center, cleaned, and entered into a database by research assistants. This process consumed a substantial amount of time and resources , and questions about data content often could not be answered in the absence of the staff who had originally generated the data. The cli-nicians who provided intervention services thought that a computerized tracking and reminder system would better facilitate their clinical work than a paper-based charting system. For Project IMPACT (6), we developed a Web-based data management system that can be accessed over the Internet on a 24-hour basis by study staff at 18 participating clinics. The system was developed at the University of California, Los Angeles (UCLA) and was tested with the help of study staff at all participating sites. The system was implemented with use of an Apple Power Mac G3 computer running Mac OS X as a server (Apple Computer, Cupertino, Calif.) and was programmed with WebObjects (Apple) and the FrontBase SQL database (FrontBase, Foothill Ranch, Calif.). To ensure the security and integrity of our data, we used technology similar to that used to protect credit card information in e-commerce applications: all exchanges between a user's browser and the server are two-way encrypted with the secure sockets layer (SSL) protocol to prevent eavesdropping, tampering, or data forgery. SSL protocols use 128-bit cryptography algorithms , such as RC4, which have emerged as standard approaches to high-grade online privacy protection. As a further safeguard, access to all data on the server is controlled by password protection. Different user profiles allow access to relevant sections of the database. For example, study clinicians can view and edit data on their own patients only. Investigators can see recruitment and intervention data for their study site and de-identified summary data for all study sites for comparison. For additional security of the data, we use only …