ArticlePharmacy world & science : PWS2010
Which factors predict the time spent answering queries to a drug information centre?
Article in Pharmacy world & science : PWS, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
- Comparison of MyDispense with in-person simulation in drug information training of pharmacy curriculum - a randomized cross-over study.BMC medical education · 2025Trial
- Factors Determining Quality of Drug Information by Hospital Pharmacies-Results from Five-Year Annual Quality Assessment.Pharmacy (Basel, Switzerland) · 2024Article
- Clinical-pharmacological drug information center of Hannover Medical School: experiences and analysis from a tertiary care university hospital.Scientific reports · 2022Article
- Assessing the quality of drug information provided by hospital pharmacies using a fictitious enquiry and simulated real-life conditions.European journal of hospital pharmacy : science and practice · 2021Article
- The characteristics of drug information inquiries in an Ethiopian university hospital: A two-year observational study.Scientific reports · 2019Observational
- Naturalistic Evaluation of Pharmacotherapy Consultations Provided to Hospital Clinicians: A Developing Country's Perspective.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2019Article
- Use of References in Responses from Scandinavian Drug Information Centres.Medicines (Basel, Switzerland) · 2018Article
- Assessment of the Use and Status of New Drug Information Centers in a Developing Country, Ethiopia: The Case of Public University Hospital Drug Information Centers.BioMed research international · 2018Article
- Analysis of questions about use of drugs in breastfeeding to Norwegian drug information centres.International breastfeeding journal · 2018Article
- Quality assessment of structure and language elements of written responses given by seven Scandinavian drug information centres.European journal of clinical pharmacology · 2017Article
- Factors associated with time consumption when answering drug-related queries to Scandinavian drug information centres: a multi-centre study.European journal of clinical pharmacology · 2014Article
- Questions about complementary and alternative medicine to the Regional Medicines Information and Pharmacovigilance Centres in Norway (RELIS): a descriptive pilot study.BMC complementary and alternative medicine · 2014Article
- Clinical pharmacology in everyday clinical care.European journal of clinical pharmacology · 2013Article
- Article
- Drug information center as referral service in a South Indian tertiary care hospital.International journal of pharmaceutical investigationArticle
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop a model based upon factors able to predict the time spent answering drug-related queries to Norwegian drug information centres (DICs). SETTING AND
methodDrug-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 measuresThe 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.
resultsNinety-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.
conclusionThe 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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