Effectiveness of Academic Detailing to Optimize Medication Prescribing Behaviour of Family Physicians
J Pharm Pharm Sci (www.cspsCanada.org) 16(4) 511 - 529, 2013 Effectiveness of Academic Detailing to Optimize Medication Prescribing Behaviour of Family Physicians Harpreet Chhina1,2, Vidula M.Bhole1,3, Charles Goldsmith1,4, Wendy Hall5, Janusz Kaczorowski6, Diane Lacaille1,7 1Arthritis Research Centre of Canada Vancouver, BC, Canada; 2Department of Experimental Medicine, Faculty of Medicine, University of British Columbia, Vancouver BC; 3Epi Solutions Consultancy Services, Thane, India; 4Faculty of Health Science, Simon Fraser University, Burnaby , BC Canada; 5School of Nursing, University of British Columbia, 6Department of Family and Emergency Medicine and CRCHUM, University of Montreal, 7Division of Rheumatology, Faculty of Medicine, University of British Columbia, Vancouver BC. Received, August 6, 2013; accepted, August 23, 2013; published, August 25, 2013. ABSTRACT – PURPOSE. To synthesize current knowledge about the effectiveness and the magnitude of the effect, of Academic Detailing (AD), as a stand-alone intervention, at modifying drug prescription behavior of Family Physicians (FPs) in primary care settings. METHODS. A search of MEDLINE, EMBASE, CENTRAL, and Web of Science databases of all English language articles between January 1983 and July 2010 was conducted. We hand-searched the bibliographies of articles retrieved from the electronic search to identify additional studies. Inclusion criteria were: full-length articles describing original research; randomized controlled trial (RCT), or observational study design with a control group; studies of AD delivered to FPs; AD as a stand-alone intervention; drug prescription as the target behavior. Data extraction was done independently by two reviewers. Outcomes evaluated were: the difference in relative change in prescription rate between the intervention and control groups; the difference in absolute change in prescription rate between the intervention and control groups; and effect size, calculated as the standardized mean difference.
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