A randomized trial provided new evidence on the accuracy and efficiency of traditional vs. electronically annotated abstraction approaches in systematic reviews.
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 ANDSETTING:
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.Palavras-chave
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