Which factors predict the time spent answering queries to a drug information centre? |
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Authors: | Linda A Reppe Olav Spigset and Jan Schj?tt |
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Institution: | (1) Department of Clinical Pharmacology, Regional Drug Information Centre (RELIS Midt-Norge) St. Olavs University Hospital, 7006 Trondheim, Norway;(2) Faculty of Health Sciences, Nord-Tr?ndelag University College, 7729 Steinkjer, Norway;(3) Department of Laboratory Medicine, Children’s and Women’s Health, Norwegian University of Science and Technology, 7489 Trondheim, Norway;(4) Section of Clinical Pharmacology, Laboratory of Clinical Biochemistry, Haukeland University Hospital, 5021 Bergen, Norway;(5) Section for Pharmacology, Institute of Internal Medicine, University of Bergen, 5021 Bergen, Norway;(6) Regional Drug Information Centre (RELIS Vest), Haukeland University Hospital, 5021 Bergen, Norway; |
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Abstract: | Objective To develop a model based upon factors able to predict the time spent answering drug-related queries to Norwegian drug information
centres (DICs). Setting and method Drug-related queries received at 5 DICs in Norway from March to May 2007 were randomly assigned to 20 employees until each
of them had answered a minimum of five queries. The employees reported the number of drugs involved, the type of literature
search performed, and whether the queries were considered judgmental or not, using a specifically developed scoring system.
Main outcome measures The scores of these three factors were added together to define a workload score for each query. Workload and its individual
factors were subsequently related to the measured time spent answering the queries by simple or multiple linear regression
analyses. Results Ninety-six query/answer pairs were analyzed. Workload significantly predicted the time spent answering the queries (adjusted
R
2 = 0.22, P < 0.001). Literature search was the individual factor best predicting the time spent answering the queries (adjusted R
2 = 0.17, P < 0.001), and this variable also contributed the most in the multiple regression analyses. Conclusion The most important workload factor predicting the time spent handling the queries in this study was the type of literature
search that had to be performed. The categorisation of queries as judgmental or not, also affected the time spent answering
the queries. The number of drugs involved did not significantly influence the time spent answering drug information queries. |
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