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Prescription writing for diabetes: compliance with good practice

  • University of Surrey
Research Output: Contribution to journal Article Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

This study aimed to explore the prescriptions issued to patients with diabetes by nurse independent and nurse supplementary prescribers working in general practice. A total of 19 prescriptions were collected and assessed from four case-study sites based in general practice between October 2007 and September 2008. Prescriptions were collected from patients with diabetes whose consultations were video recorded for the purposes of research. Prescriptions were consistently issued on an appropriate computer-generated prescription form, written legibly in ink, used the correct terminology, generic prescribing and contained an accurate/appropriate product dose and preparation. They were less consistent in stating the number of days, quantity of medicine to be supplied, and providing clear and accurate instructions on frequency and timing of treatment. Nurses in general practice are using computer based repeat prescribing systems to issue prescriptions to patients for the management of diabetes and its common complications, such as hypertension, hyperlipidaemia and cardiovascular disease. Whilst nurse prescribers were generally compliant with good practice in prescription writing, they need to ensure that they include ongoing information with respect to the number of days of treatment, quantity of medicine to be supplied, and clear and accurate instructions regarding the frequency and timing of medicines.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Journal (Volume, Issue Number)

Journal of Prescribing Practice (Volume 7, Issue 10)

Publication milestones

  • Published - 10/2009

Publication status

Published - 10/2009

ISSN

2631-8385

External Publication IDs

  • ORCID: /0000-0002-9615-7592/work/150092650

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