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Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE (Open Access)

Planning for the future of the Australian midwifery workforce: the Midwifery Futures workforce model

Kirsten Small https://orcid.org/0000-0003-1481-4147 A B * , Martin Boyce C , Chanelle Warton A , Kathleen Baird D , Zoe Bradfield https://orcid.org/0000-0002-1013-0461 E , Jennifer Fenwick D and Caroline Homer A
+ Author Affiliations
- Author Affiliations

A Global Women’s and Newborn’s Health Group, Burnet Institute, Melbourne, Vic, Australia. Email: chanelle.warton@burnet.edu.au, caroline.homer@burnet.edu.au

B School of Nursing and Midwifery, Griffith University, Loganholme, Qld, Australia.

C Novametrics Ltd, Duffield, Derbyshire, DE56 4HQ, UK. Email: martin@novametrics.org

D School of Nursing and Midwifery, University of Technology Sydney, Sydney, NSW, Australia. Email: kathleen.baird@uts.edu.au, jennifer.fenwick@uts.edu.au

E School of Nursing, Curtin University, Perth, WA, Australia. Email: zoe.bradfield@curtin.edu.au

* Correspondence to: k.small@griffith.edu.au

Australian Health Review 49, AH24337 https://doi.org/10.1071/AH24337
Submitted: 16 December 2024  Accepted: 23 April 2025  Published: 13 May 2025

© 2025 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of AHHA. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Objective

Quality maternity service provision relies on having a robust midwifery workforce. Although previous models suggested future growth of the workforce, this is at odds with recent reports of staffing shortfalls and difficulties in recruitment. We developed an updated model to provide long-term projections of supply and demand for the Australian midwifery workforce.

Methods

A dynamic stock and flow model was built from baseline data from 2022, with projections through to 2030. It was assumed that 79% of the midwifery workforce would provide clinical care, working 20 h per week to meet a workload of 40 pregnancies per full-time equivalent midwife per year.

Results

If recruitment and attrition remain stable, both headcount and full-time equivalent numbers of midwives will increase by 2030, exceeding demand. The average annual workload per full-time equivalent midwife would fall to 34 pregnancies. However, if voluntary attrition rose by 10%, there would be a rapid and devastating decrease in numbers. The average workload for a full-time equivalent midwife would rise to 66 pregnancies per year by 2030.

Conclusions

The Midwifery Futures model demonstrated the sensitivity of the Australian midwifery workforce to a small change in attrition. Preventing midwives’ exit from the workforce by improving their experiences in the workplace and increasing access to midwifery continuity roles would build workforce resilience. Minimising attrition, enhancing midwives’ engagement, and matching student intake to attrition can assist in maintaining a robust Australian midwifery workforce.

Keywords: attrition, health workforce planning, immigration, maternity, midwifery, modelling, retention, workforce.

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