Graduate Thesis Or Dissertation
 

An analysis of selected socioeconomic factors and their effect on prescription price, dollar markup and percent markup in Oregon

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/028711123

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  • The purpose of this study was to determine the effect of population size, type of ownership, number of hours open per week, pharmacy location, type of pharmacy, average annual store sales volume, average number of prescriptions filled per day, patient profile system and delivery service on prescription price, dollar markup and percent markup in Oregon; then to examine the relationship between the selected socioeconomic variables and prescription price, dollar markup or percent markup among Oregon counties. The prescription price, dollar markup and percent markup were obtained from the average of 300 prescriptions from each of 292 observed pharmacies which were drawn by 1977 Survey of Oregon Pharmacies conducted by Adult and Family Services, State of Oregon. One-way analysis of variance was used to determine the effect of the previous nine variables on prescription price, dollar markup and percent markup. Type of ownership, number of hours open per week, type of pharmacy, average annual store sales volume, patient profile system and delivery service affected the prescription price, dollar markup and percent markup significantly. The difference in size of city population had significant effect only on prescription price but not on dollar markup and percent markup. Pharmacy location and number of prescriptions filled per day appeared to cause significant effect on dollar markup and percent markup but not on prescription price. The simple regression analysis reflected a significant relationship between retail drug and proprietary sales and dollar markup among Oregon counties. The stepwise regression also indicated significant relationship between dollar markup and retail drug and proprietary sales, per capita income per person and percentage age over 65 years among Oregon counties. Both stepwise and simple regression showed that there were no significant relationships among all selected socioeconomic variables and either prescription price or percent markup.
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Déclaration de droits
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  • File scanned at 300 ppi (Monochrome) using ScandAll PRO 1.8.1 on a Fi-6670 in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
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