TY - JOUR AU - Saldanha, Ian J. AU - Schmid, Christopher H. AU - Lau, Joseph AU - Dickersin, Kay AU - Berlin, Jesse A. AU - Jap, Jens AU - Smith, Bryant T. AU - Carini, Simona AU - Chan, Wiley AU - De Bruijn, Berry AU - Wallace, Byron C. AU - Hutfless, Susan M. AU - Sim, Ida AU - Murad, M. Hassan AU - Walsh, Sandra A. AU - Whamond, Elizabeth J. AU - Li, Tianjing PY - 2016 DA - 2016/11/22 TI - Evaluating Data Abstraction Assistant, a novel software application for data abstraction during systematic reviews: protocol for a randomized controlled trial JO - Systematic Reviews SP - 196 VL - 5 IS - 1 AB - Data abstraction, a critical systematic review step, is time-consuming and prone to errors. Current standards for approaches to data abstraction rest on a weak evidence base. We developed the Data Abstraction Assistant (DAA), a novel software application designed to facilitate the abstraction process by allowing users to (1) view study article PDFs juxtaposed to electronic data abstraction forms linked to a data abstraction system, (2) highlight (or “pin”) the location of the text in the PDF, and (3) copy relevant text from the PDF into the form. We describe the design of a randomized controlled trial (RCT) that compares the relative effectiveness of (A) DAA-facilitated single abstraction plus verification by a second person, (B) traditional (non-DAA-facilitated) single abstraction plus verification by a second person, and (C) traditional independent dual abstraction plus adjudication to ascertain the accuracy and efficiency of abstraction. SN - 2046-4053 UR - https://doi.org/10.1186/s13643-016-0373-7 DO - 10.1186/s13643-016-0373-7 ID - Saldanha2016 ER -