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Objective: To investigate the contribution of patient and doctor characteristics in explaining observed variations in prescribing costs between individual doctors. Method: Secondary analysis of data collected from general practitioners, Family Health Services Authorities, 1991 Census data set and the Prescription Pricing Authority. Results: A multiple regression model with four variables (social class, training status, generic prescribing and length of time in general practice) explained only 16 5% of the variation in costs/ASTRO-PU. Conclusion: This study highlights that very little of the variation in prescribing costs can readily be explained. Further research is needed to document contributing factors.

Original publication

DOI

10.1046/j.1365-2710.2001.00371.x

Type

Journal article

Journal

Journal of Clinical Pharmacy and Therapeutics

Publication Date

01/12/2001

Volume

26

Pages

433 - 435