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DOI | Resolve DOI: https://doi.org/10.1016/j.jclinepi.2019.07.005 |
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Author | Search for: Li, Tianjing; Search for: Saldanha, Ian J.; Search for: Jap, Jens; Search for: Smith, Bryant T.; Search for: Canner, Joseph; Search for: Hutfless, Susan M.; Search for: Branch, Vernal; Search for: Carini, Simona; Search for: Chan, Wiley; Search for: de Bruijn, Berry1; Search for: Wallace, Byron C.; Search for: Walsh, Sandra A.; Search for: Whamond, Elizabeth J.; Search for: Murad, M. Hassan; Search for: Sim, Ida; Search for: Berlin, Jesse A.; Search for: Lau, Joseph; Search for: Dickersin, Kay; Search for: Schmid, Christopher H. |
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Affiliation | - National Research Council of Canada. Digital Technologies
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Format | Text, Article |
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Subject | data abstraction; software application; accuracy; efficiency; systematic review; randomized cross-over trial |
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Abstract | 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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Publication date | 2019-07-11 |
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Publisher | Elsevier |
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Licence | |
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In | |
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Language | English |
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Peer reviewed | Yes |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | bd584d7c-dc06-45e4-87a7-3d5511df4cf1 |
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Record created | 2020-11-16 |
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Record modified | 2022-03-10 |
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