Nurse Practitioner and Midwife Antibiotic Prescribing in Australia.

Glenda Hawley, Aaron Grogan,Treasure McGuire,Mieke Van Driel,Samantha Hollingworth

European Journal of Midwifery（2023）

Cited 3|Views23

Abstract

INTRODUCTION:Antimicrobial resistance is of global significance. To reduce the risk of harm associated with antibiotic prescribing in Australia, a recent strategy to tackle antimicrobial resistance has included non-medical prescribers. Traditionally, antibiotic prescribing has been the domain of the medical profession but, more recently, nurse practitioners and endorsed midwives have been authorized to prescribe antibiotics. This study describes the antibiotic prescribing practices by nurse practitioners and endorsed midwives in Australia, with clinical implications for international settings.METHODS:This was a retrospective analysis of routinely collected aggregated data of anonymous individuals. Data on dispensed prescriptions of antibiotics were obtained from the Australian Department of Human Services, for the period 2005-2016. All antibiotics were allocated to a spectrum class (narrow, moderate, broad). Analysis using descriptive statistics was undertaken to determine the antibiotic prescribing patterns of nurse practitioners and endorsed midwives.RESULTS:Nurse practitioners have been prescribing within Australia since 2000, and midwives since 2012. Nurse practitioner antibiotic written scripts increased from 3143 during 2005-2011 to 34615 in 2012-2016, while antibiotic written scripts by midwives increased from 2012 (n=2) to 2016 (n=469). Nurse practitioners and midwives prescribed similar classes of antibiotics. These professionals are important non-medical prescribers and are increasingly writing antibiotic prescriptions.Both nursing and midwifery cohorts complete accredited education programs, albeit with some differences in structure.CONCLUSIONS:When prescribing antibiotics, nurse practitioners and midwives are following evidenced-based therapeutic guidelines. They are increasingly relevant clinicians prescribing antibiotics, particularly in acute and primary care settings, which has relevance in global antimicrobial strategies.

Translated text

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Try using models to generate summary,it takes about 60s

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper