The identification of clinically important elements within medical journal abstracts: Patient_Population_Problem, Exposure_Intervention, Comparison, Outcome,Duration and Results (PECODR)

摘要: Background Information retrieval in primary care is becoming more difficult as the volume of medical information held electronic databases expands. The lexical structure this might permit automatic indexing and improved retrieval. Objective To determine possibility identifying key elements clinical studies, namely Patient_Population_Problem, Exposure_Intervention, Comparison, Outcome, Duration Results (PECODR), from abstracts journals. Methods We used a convenience sample 20 synopses journal Evidence-Based Medicine (EBM) their matching original article obtained PubMed. Three independent professionals identified PECODR-related extracts text. Rules were developed to define each PECODR element selection process characters, words, phrases sentences. From text related elements, potential patterns that help identify those proposed assessed using NVivo software. A total 835 containing 41 263 individual characters EBM synopses. There 759 corresponding PubMed 31 947 characters. found nearly all with exception duration. was agreement on 86.6%of 85.0% abstracts. After consensus rose 98.4% 96.9% respectively. Outcome both Some words are frequently specific for these abstracts. Conclusions suggest exists there be elements. More sophisticated computer-assisted lexical-semantic analysis refine results, pave way automating indexing, improve care.