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Updated: May 24, 2026
Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
A question-answer pair (QAP) database integrated with websites to answer complex questions submitted to the Regional
Jan Schjøtt1, Linda A Reppe, Pål-Didrik H Roland
1Section of Clinical Pharmacology, Laboratory of Clinical Biochemistry, Haukeland University Hospital, Bergen, Norway.
Objective:
To assess a question-answer pair (QAP) database integrated with websites developed for drug information centres to answer complex questions effectively.
Design:
Descriptive study with comparison of two subsequent 6-year periods (1995-2000 and 2001-2006).
Setting:
The Regional Medicines Information and Pharmacovigilance Centres in Norway (RELIS).
Participants:
A randomised sample of QAPs from the RELIS database.
Primary Outcome Measure:
Answer time in days compared with Mann-Whitney U test.
Secondary Outcome Measure:
Number of drugs involved (one, two, three or more), complexity (judgemental and/or patient-related or not) and literature search (none, simple or advanced) compared with χ(2) tests.
Results:
842 QAPs (312 from 1995 to 2000 and 530 from 2001 to 2006) were compared. The fraction of judgemental and patient-related questions increased (66%-75% and 54%-72%, respectively, p<0.01). Number of drugs and literature search (>50% advanced) was similar in the two periods, but the fraction of answers referring to the RELIS database increased (13%-31%, p<0.01). Median answer time was reduced from 2 days to 1 (p<0.01), although the fraction of complex questions increased from the first to the second period. Furthermore, the mean number of questions per employee per year increased from 66 to 89 from the first to the second period.
Conclusions:
The authors conclude that RELIS has a potential to efficiently answer complex questions. The model is of relevance for organisation of drug information centres.
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