Skip to search boxSkip to navigationSkip to main content

Theory-based electronic learning intervention to support appropriate antibiotic prescribing by nurses and pharmacists: intervention development and feasibility study protocol.

  • Molly Courtenay
    ,
  • Rosemary Lim
    ,
  • Rhian Deslandes
    ,
  • Rebecca Ferriday
    ,
  • David Gillespie
    ,
  • Karen Hodson
Research Output:
Contribution to journal
Article
 Peer-review

Open access

Abstract

Introduction Nurse and pharmacist independent prescribers manage patients with respiratory tract infections and are responsible for around 8% of all primary care antibiotic prescriptions. A range of factors influence the prescribing behaviour of these professionals, however, there are no interventions available specifically to support appropriate antibiotic prescribing behaviour by these groups. The aims of this paper are to describe (1) the development of an intervention to support appropriate antibiotic prescribing by nurse and pharmacist independent prescribers and (2) an acceptability and feasibility study designed to test its implementation with these prescribers. Method and analysis Development of intervention: a three-stage, eight-step method was used to identify relevant determinants of behaviour change and intervention components based on the Behaviour Change Wheel. The intervention is an online resource comprising underpinning knowledge and an interactive animation with a variety of open and closed questions to assess understanding. Acceptability and feasibility of intervention: nurse and pharmacist prescribers (n=12–15) will use the intervention. Evaluation includes semi-structured interviews to capture information about how the user reacts to the design, delivery and content of the intervention and influences on understanding and engagement, and a pre-post survey to assess participants’ perceptions of the impact of the intervention on knowledge, confidence and usefulness in terms of application to practice. Taking an initial inductive approach, data from interview transcripts will be coded and then analysed to derive themes. These themes will then be deductively mapped to the Capability, Opportunity, Motivation-Behaviour model. Descriptive statistics will be used to analyse the survey data, and trends identified

Publication Information

Output type

Research Output:
Contribution to journal
Article
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages e028326

Journal (Volume, Issue Number)

BMJ Open (Volume 9, Issue 8)

Publication milestones

  • Accepted/In press - 09/07/2019
  • Published - 18/08/2019

Publication status

Published - 18/08/2019

Publication IDs

  • handle.net: 10547/623757
  • Scopus: 85071585872

Access to documents

Publication metrics

Metrics

Download statistics
Download count
7

PlumX, opens in new tab

13
Social media
74
Mentions
1
Captures
203