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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Annals of Pharmacoth...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Factors that Influence Prescribing Decisions

Authors: Glen T, Schumock; Surrey M, Walton; Hayley Y, Park; Edith A, Nutescu; Juan C, Blackburn; Jamie M, Finley; Richard K, Lewis;

Factors that Influence Prescribing Decisions

Abstract

BACKGROUND Strategies to control the quality and cost of medication use are largely dependent on the ability to alter selection of medications. Previous models of prescribing behavior have focused on physicians. In the hospital setting, clinical pharmacists and formulary committee members are also key players in drug therapy decision-making. Differences between physicians, formulary committee members, and clinical pharmacists have not been compared. Knowledge of these differences could have importance in predicting the effectiveness of strategies designed to influence drug use in this setting. OBJECTIVE To describe and compare the opinions of physicians, clinical pharmacists, and formulary committee members with respect to key factors that influence medication prescribing in community hospitals. METHODS Physicians, clinical pharmacists, and formulary committee members were solicited to participate. A trained interviewer administered a standardized questionnaire designed to elicit opinions of participants regarding the importance of factors thought to influence drug prescribing. Responses were described using descriptive statistics, and differences between the groups were determined by post hoc analysis. RESULTS A total of 150 individuals participated in the study. Safety, effectiveness, formulary status, and restrictions on prescribing were considered highly influential by all participants. Physicians rated the availability of drug samples and personal experience higher (more influential on prescribing) than clinical pharmacists and formulary committee members. Clinical pharmacists and formulary committee members rated the influence of recommendations by clinical pharmacists, prescribing guidelines, and cost or cost comparisons higher than physicians. Factors that were drug-related or that involved policy-related programs tended to be more influential than indirect factors. CONCLUSIONS Those who seek to implement programs to alter medication use should recognize and employ factors that are most influential in the decision-making process. Further, it may be important to consider differences that exist between key participants in the medication use process.

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Keywords

Peer Review, Decision Making, Hospitals, Community, Pharmacists, Drug Prescriptions, Physicians, Surveys and Questionnaires, Humans, Interdisciplinary Communication, Practice Patterns, Physicians', Pharmacy Service, Hospital, Pharmacy and Therapeutics Committee

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
94
Top 10%
Top 1%
Top 10%
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