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Updated: Jan 22, 2026

Author Spotlight: Learning Systematic Bronchoscopy in a Simulation-Base Setting
Published on: June 23, 2023
A randomized trial provided new evidence on the accuracy and efficiency of traditional vs. electronically annotated
Tianjing Li1, Ian J Saldanha2, Jens Jap3
1Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, E6140, Baltimore, MD 21205, USA.
Objectives:
Data Abstraction Assistant (DAA) is a software for linking items abstracted into a data collection form for a systematic review to their locations in a study report. We conducted a randomized cross-over trial that compared DAA-facilitated single-data abstraction plus verification ("DAA verification"), single data abstraction plus verification ("regular verification"), and independent dual data abstraction plus adjudication ("independent abstraction").
Study Design And Setting:
This study is an online randomized cross-over trial with 26 pairs of data abstractors. Each pair abstracted data from six articles, two per approach. Outcomes were the proportion of errors and time taken.
Results:
Overall proportion of errors was 17% for DAA verification, 16% for regular verification, and 15% for independent abstraction. DAA verification was associated with higher odds of errors when compared with regular verification (adjusted odds ratio [OR] = 1.08; 95% confidence interval [CI]: 0.99-1.17) or independent abstraction (adjusted OR = 1.12; 95% CI: 1.03-1.22). For each article, DAA verification took 20 minutes (95% CI: 1-40) longer than regular verification, but 46 minutes (95% CI: 26 to 66) shorter than independent abstraction.
Conclusion:
Independent abstraction may only be necessary for complex data items. DAA provides an audit trail that is crucial for reproducible research.
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