title: Characteristics of physicians who frequently see pharmaceutical sales representatives.
abstract: Pharmaceutical sales representatives (PSRs) can impact physician prescribing. The objective of this study was to test a model of physician and practice setting characteristics as influences on decisions by physicians to see PSRs. A survey was sent to a random sample of 2000 physicians. Multiple linear regression analyses were used to test models for predicting influences on decisions to see PSRs frequently, defined as at least monthly. Independent variables included: presence of restrictive policy for pharmaceutical detailing, volume of prescriptions, gender, age, type of specialty, academic affiliation, practice setting size, and urban versus rural. The dependent variable was frequency of PSRs visits to physicians. Six hundred seventy-one responses were received yielding a response rate of 34.7%. Four hundred thirty-two physicians (79.5%) reported seeing PSRs at least monthly. The decision influence model was found to be significant. Primary care physicians and high-volume prescribers showed increased likelihood to see PSRs. Physicians practicing in settings that were small, urban, without restrictive policies for pharmaceutical detailing, and not academically affiliated were more likely to see PSRs frequently. This model of physician and practice characteristics is useful in explaining the variations in physicians' characteristics who see PSRs frequently. These characteristics could be used to guide the development of future academic or counter-detailing initiatives to improve evidence-based prescribing.
authors.affiliation: Pharmaceutical and Administrative Sciences Department, University of Charleston School of Pharmacy, Charleston, West Virginia 25304, USA. fadialkhateeb@ucwv.edu
authors.forename: Fadi M
authors.initials: FM
authors.lastname: Alkhateeb
authors.forename: Nile M
authors.initials: NM
authors.lastname: Khanfar
authors.forename: Kevin A
authors.initials: KA
authors.lastname: Clauson
mesh_terms: D003132:Commerce; D003625:Data Collection; D004345:Drug Industry; D005260:Female; D006801:Humans; D007373:Interinstitutional Relations; D008297:Male; D008875:Middle Aged; D010820:Physicians