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Published in: Journal of General Internal Medicine 10/2018

01-10-2018 | Original Research

Changes in Australian Early-Career General Practitioners’ Benzodiazepine Prescribing: a Longitudinal Analysis

Authors: Parker Magin, PhD, FRACGP, Amanda Tapley, MMedStats, Adrian J Dunlop, PhD, FAChAM, Andrew Davey, MClinEpid, FRACGP, Mieke van Driel, PhD, FRACGP, Elizabeth Holliday, PhD, Simon Morgan, MPH, FRACGP, Kim Henderson, GDipMedSc(HSocSc), Jean Ball, GDipMedStats, Nigel Catzikiris, BHlth, Katie Mulquiney, BND(Hons), Neil Spike, FRACGP, Rohan Kerr, FRACGP, Simon Holliday, FAChAM

Published in: Journal of General Internal Medicine | Issue 10/2018

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Abstract

Background

Australian and international guidelines recommend benzodiazepines and related drugs (hereafter “benzodiazepines”) as second-line, short-term medications only. Most benzodiazepines are prescribed by general practitioners (GPs; family physicians). Australian GP registrars (“trainees” or “residents” participating in a post-hospital training, apprenticeship-like, practice-based vocational training program), like senior GPs, prescribe benzodiazepines at high rates. Education within a training program, and experience in general practice, would be expected to reduce benzodiazepine prescribing.

Objective

To establish if registrars’ prescribing of benzodiazepines decreases with time within a GP training program

Design

Longitudinal analysis from the Registrar Clinical Encounters in Training multi-site cohort study

Participants

Registrars of five of Australia’s 17 Regional Training Providers. Analyses were restricted to patients ≥ 16 years.

Main Measures

The main outcome factor was prescription of a benzodiazepine. Conditional logistic regression was used, with registrar included as a fixed effect, to assess within-registrar changes in benzodiazepine-prescribing rates. The “time” predictor variable was “training term” (6-month duration Terms 1–4). To contextualize these “within-registrar” changes, a mixed effects logistic regression model was used, including a random effect for registrar, to assess within-program changes in benzodiazepine-prescribing rates over time. The “time” predictor variable was “year” (2010–2015).

Key Results

Over 12 terms of data collection, 2010–2015, 1161 registrars (response rate 96%) provided data on 136,809 face-to-face office-based consultations. Two thousand six hundred thirty-two benzodiazepines were prescribed (for 1.2% of all problems managed). In the multivariable model, there was a significant reduction in within-program benzodiazepine prescribing over time (year) (p = < 0.001, OR = 0.94, CI = 0.90, 0.97). However, there was no significant change in ‘within-registrar’ prescribing over time (registrar Term) (p = 0.92, OR = 1.00 [95% CI = 0.94–1.06]).

Conclusions

Despite a welcome temporal trend for reductions in overall benzodiazepine prescribing from 2010 to 2015, there is still room for improvement and our findings suggest a lack of effect of specific GP vocational training program education and, thus, an opportunity for targeted education.
Appendix
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Metadata
Title
Changes in Australian Early-Career General Practitioners’ Benzodiazepine Prescribing: a Longitudinal Analysis
Authors
Parker Magin, PhD, FRACGP
Amanda Tapley, MMedStats
Adrian J Dunlop, PhD, FAChAM
Andrew Davey, MClinEpid, FRACGP
Mieke van Driel, PhD, FRACGP
Elizabeth Holliday, PhD
Simon Morgan, MPH, FRACGP
Kim Henderson, GDipMedSc(HSocSc)
Jean Ball, GDipMedStats
Nigel Catzikiris, BHlth
Katie Mulquiney, BND(Hons)
Neil Spike, FRACGP
Rohan Kerr, FRACGP
Simon Holliday, FAChAM
Publication date
01-10-2018
Publisher
Springer US
Published in
Journal of General Internal Medicine / Issue 10/2018
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-018-4577-5

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