| Publication Abstract Display | | Type: Poster | | Title: Web-based collection of antiretroviral medication histories. | | Authors: Cushman C, Gamst A, Yamada L, Ellis R, Alexander T, Grant I | | Date: 05-29-2012 | | Abstract:Background: In the HAART era, collection of longitudinal antiretroviral medication (ARV) histories from HIV-infected individuals has become increasingly important. Using technology, it is possible to increase the efficiency with which medication histories are obtained and summarized. Methods: The HIV Neurobehavioral Research Program (HNRP) DMIS Group developed a web-based touchscreen-enabled iPad application. The interface displays medication use reported at previous visits and uses actual pill images to facilitate accurate participant reports. Data is subjected to real-time QC checks, accounting for clinically unlikely regimens, patient history, and medication availability. The raw data is then dynamically transformed into medication instances (MI = uninterrupted period of use for a particular drug). These MI represent drug use as a set of overlapping epochs that can be presented graphically or linked to other data (such as neurological or medical complications). Because this application has been developed for the web, hardware and software requirements are minimal and training time should be greatly reduced. Availability of this information via the web could potentially extend the use of this application beyond research to clinical settings. Results: Development of the application is complete and existing ARV data has been transformed into the new data structure. This data includes the lifetime medication histories of 3,911 patients in support of 24 studies. The application is currently in use at the HNRP, replacing traditional CRFs. With this release, we anticipate accuracy and efficiency of data collection to improve dramatically, in terms of time spent by participants, accuracy of neuromedical assessment, data entry and analysis. Please explore the application through the attached kiosk or by visiting http://hnrp.hivresearch.ucsd.edu/arvweb/. Conclusions: Using real-time data checks, a flexible data storage model and user-friendly visuals, we have been able to provide an easily deployed, accurate, low-cost solution for the collection of medication history data. |
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