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Using effectiveness studies for prescribing research, part 2
Author(s) -
Freemantle N.,
Eastaugh J.
Publication year - 2002
Publication title -
journal of clinical pharmacy and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.622
H-Index - 73
eISSN - 1365-2710
pISSN - 0269-4727
DOI - 10.1046/j.1365-2710.2002.00424.x
Subject(s) - confounding , psychological intervention , perspective (graphical) , research design , clinical study design , clinical trial , relation (database) , medicine , computer science , management science , psychology , data mining , statistics , mathematics , artificial intelligence , psychiatry , engineering , pathology
Summary Trials that consider the effects of interventions on prescribing behaviour amongst clinicians often have complex design implications resulting in data that has inherent hierarchical structure. It follows that both experimental design and analysis plans must account for this structure and thus results should be considered in terms of clinician behaviour rather than individual patient response. We describe this change in perspective and the necessity for using statistical techniques that allow incorporation of potential confounding effects. We also discuss the appropriateness of some specific outcomes in relation to these trials.