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"Working with DatStat has cut data management costs, reduced missing data to near zero, and enabled us to make better clinical and research decisions using clean, real-time feedback."
– Dr. Steven Hollon | Professor | Department of Psychology | Vanderbilt
Multi-site researchers cut data management costs and improve monitoring.
Vanderbilt University
With a multi-year multi-site study involving complex data analysis, Dr. Hollon and his colleagues needed a sophisticated online data collection and management application to improve the research process. This clinical trial involving over 450 patients compares several treatments aimed at preventing the recurrence of depression.
Collecting and managing data for more than 450 patients over the course of a decade required extra personnel and time to insure data cleanliness, including extended post-study data cleanup.
Historically, multi-site studies and paper-based data collection methods made it virtually impossible to view in-study results.
Meeting the NIMH regulatory (DSMB) and IRB requirements through necessary reports took months to prepare.
DatStat’s centralized data management allows patients, treating clinicians, and independent evaluators to enter information from any computer, eliminating manual and duplicate data entry. Real-time validations insure data meet the required type and format, reducing or eliminating data cleansing.
With online data access, dispersed clinicians can monitor study-wide patient progress real-time to determine what treatments are working.
DatStat’s easy-to-use data segmentation and analysis tool produces reports that facilitate regulatory reporting and compliance.
Patient-entered data and real-time validations lowered missing data to near zero, largely eliminating post-study data cleanup. Personnel-related data management costs also were reduced across the course of the study. Now, the vast majority of the tasks (including scheduling and record keeping) previously delegated to research staff are automated.
Real-time access to study-wide patient data enables clinicians to evaluate treatment effectiveness resulting in better treatment decisions.
By facilitating the regulatory process, report preparation was cut from months to hours, which leaves more time to focus on patients’ needs.
