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A randomized trial provided new evidence on the accuracy and efficiency of traditional vs. electronically annotated abstraction approaches in systematic reviews.
Li, Tianjing; Saldanha, Ian J; Jap, Jens; Smith, Bryant T; Canner, Joseph; Hutfless, Susan M; Branch, Vernal; Carini, Simona; Chan, Wiley; de Bruijn, Berry; Wallace, Byron C; Walsh, Sandra A; Whamond, Elizabeth J; Murad, M Hassan; Sim, Ida; Berlin, Jesse A; Lau, Joseph; Dickersin, Kay; Schmid, Christopher H.
Afiliação
  • Li T; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, E6140, Baltimore, MD 21205, USA. Electronic address: tli19@jhu.edu.
  • Saldanha IJ; Center for Evidence Synthesis in Health, Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI 02912, USA; Department of Epidemiology (Secondary), Brown University School of Public Health, 121 South Main Str
  • Jap J; Department of Health Services, Policy, and Practice, Center for Evidence Synthesis in Health, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI 02912, USA.
  • Smith BT; Department of Health Services, Policy, and Practice, Center for Evidence Synthesis in Health, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI 02912, USA.
  • Canner J; Department of Surgery, Center for Outcomes Research, Johns Hopkins School of Medicine, 720 Rutland Avenue, Turner 74, Baltimore, MD 21205, USA.
  • Hutfless SM; Department of Surgery, Johns Hopkins School of Medicine, 600 N Wolfe St, Blalock 406, Baltimore, MD 21205, USA.
  • Branch V; 119 Landings Drive, Suite 403, Mooresville, NC 28117, USA.
  • Carini S; Department of Medicine, School of Medicine, University of California San Francisco, 3333 California Street, San Francisco, CA 94143, USA.
  • Chan W; Internal Medicine, Kaiser Permanente Northwest, 500 NE Multnomah Street, Suite 100, KPB-2, Portland, OR 97232, USA.
  • de Bruijn B; Internal Medicine, National Research Council Canada, Digital Technologies Research Centre, 1200 Montreal Road, Ottawa, Ontario K1A 0R6, Canada.
  • Wallace BC; Internal Medicine, College of Computer and Information Science, Northeastern University, 440 Huntington Avenue, 476 West Village H, Boston, MA 02115, USA.
  • Walsh SA; Internal Medicine, California Breast Cancer Organizations, 900 Kent Drive, Davis, CA 95616, USA.
  • Whamond EJ; Internal Medicine, Cochrane Consumer Network, 1421 Woodstock Road, Fredericton, New Brunswick E3C 1P2, Canada.
  • Murad MH; Internal Medicine, Evidence-based Practice Center, Mayo Clinic, 200 1st Street, Rochester, MN 55905, USA.
  • Sim I; Department of Medicine, University of California San Francisco School of Medicine, San Francisco, CA, USA.
  • Berlin JA; Internal Medicine, Epidemiology, Johnson & Johnson, 1125 Trenton-Harbourton Road, K3-Zone 1, Titusville, NJ 08560, USA.
  • Lau J; Department of Health Services, Policy, and Practice, Center for Evidence Synthesis in Health, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI 02912, USA.
  • Dickersin K; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, E6152, Baltimore, MD 21205, USA.
  • Schmid CH; Department of Biostatistics, Brown University School of Public Health, 121 South Main Street, Box G-S121-7, Providence, RI 02912, USA.
J Clin Epidemiol ; 115: 77-89, 2019 11.
Article em En | MEDLINE | ID: mdl-31302205
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Indexação e Redação de Resumos / Revisões Sistemáticas como Assunto Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Indexação e Redação de Resumos / Revisões Sistemáticas como Assunto Idioma: En Ano de publicação: 2019 Tipo de documento: Article