Barriers to accepting e‐prescribing in the USA

Author:

Smith Alan D.

Abstract

PurposeWith the number of prescriptions rising nationally each year, it is surprising that web‐based technology is not fully embraced in the pharmacy industry as an aid to quality‐assuring prescribing processes. Traditional prescription handling is done in a manual fashion with physicians hand‐writing prescriptions for the patients during an office visit, giving the patient the responsibility of taking the prescription to a pharmacy or mailing the prescription to a mail order company for fulfillment. Electronic prescribing (e‐prescribing) has the ability not only to streamline the prescription writing process, but also to reduce the number of errors that may be incurred with hand‐written prescriptions. The purpose of this paper is to investigate these phenomena in the USA. Design/methodology/approach – A number of hypotheses were tested using principal‐components analysis (PCA) and factor analyses. As a result, a total of 55 fully employed, professional and semi‐professional service management and internet users, representing a college‐educated and knowledge‐based sample derived from the metropolitan section of Pittsburgh, was selected. Findings – The six major constructs generated from the factor loadings in descending order of importance were: profit and risk factors, shipping and handling, saving, customer relationship management (CRM) and ethics, age, and awareness. The dependent variable chosen to be regressed against these major independent factor‐based constructs was willingness to purchase prescriptions online. The overall relationship was found to be statistically significant (F=2.971, p=0.015) in predicting willingness to use e‐prescribing options based on the various independent constructs. However, when testing the various standardized beta coefficients in the linear model, only the factor score‐based construct CRM and ethics was found to significantly contribute to predicting the willingness to purchase prescriptions online (t=−3.074, p=0.003). Research limitations/implications – Although this study appears to represent the e‐prescribing process in the USA, the sample size and region studied are only one slice of the general population. Practical implications – Unfortunately, the adoption of e‐prescribing has been difficult to attain owing to numerous barriers throughout the industry. Such acceptance barriers include lack of technology trust, associated system costs, and risk of un‐securing patient health and medical information. Originality/value – This article documents that increasing numbers of pharmacies today are building their IT‐infrastructures to accept electronic prescriptions and it may soon be the preferred method for physicians to write prescriptions. It is with great anticipation that this technology will also enhance the prescription‐writing abilities of prescribing physicians globally, giving them electronic access to patient medical records and resources that will assist them in prescribing the correct drug for the patient.

Publisher

Emerald

Subject

Health Policy,General Business, Management and Accounting

Reference18 articles.

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2. Chin, T. (2002), “Tufts health plan reports success in e‐prescribing trial”, American Medical News, Vol. 45 No. 38, p. 21.

3. Chin, T. (2003a), “Five obstacles to e‐prescribing”, American Medical News, Vol. 46 No. 18, p. 17.

4. Chin, T. (2003b), “Incentives lower costs for e‐prescribing”, American Medical News, Vol. 46 No. 44, p. 16.

5. Cumming, S. (1993), “Neural networks for monitoring of engine condition data”, Neural Computing and Applications, Vol. 1 No. 1, pp. 96‐102.

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