Keith Paul Sutton1, Alison Beauchamp2, Tony Smith3, Susan Waller4, Leanne Brown5, Karin Fisher6, Mark Woodfield7, Laura Major8, Julie Depczynski9, Vincent L Versace10, Darryl Maybery11, Luke Wakely12, Eleanor Kl Mitchell13, Daniel W Drumm14, Robyn Langham15, Jenny May16. 1. School of Rural Health, Monash University, 15 Sargeant St, Warragul, Vic, 3820, Australia keith.sutton@monash.edu. 2. School of Rural Health, Monash University, 15 Sargeant St, Warragul, Vic, 3820, Australia alison.beauchamp@monash.edu. 3. Department of Rural Health, The University of Newcastle, 114-148 Johnston St, Tamworth, NSW 2340, Australia tony.smith@newcastle.edu.au. 4. School of Rural Health, Monash University, 25 Mercy St, Bendigo, Vic. 3552, Australia susan.waller@monash.edu. 5. Department of Rural Health, The University of Newcastle, 114-148 Johnston St, Tamworth, NSW 2340, Australia leanne.brown@newcastle.edu.au. 6. Department of Rural Health, The University of Newcastle, 114-148 Johnston St, Tamworth, NSW 2340, Australia karin.fisher@newcastle.edu.au. 7. School of Rural Health, Monash University, 37 Rainforest Walk, Clayton, Vic. 3800, Australia mark.woodfield@monash.edu. 8. School of Rural Health, Monash University, 37 Rainforest Walk, Clayton, Vic. 3800, Australia laura.major@monash.edu. 9. The University of Newcastle Department of Rural Health, PO Box 138, Moree, NSW 2400, Australia julie.depczynski@newcastle.edu.au. 10. Deakin Rural Health, School of Medicine, Faculty of Health, Deakin University, Warrnambool, Vic. 3280, Australia vincent.versace@deakin.edu.au. 11. School of Rural Health, Monash University, 15 Sargeant St, Warragul, Vic, 3820, Australia darryl.maybery@monash.edu. 12. Department of Rural Health, The University of Newcastle, 114-148 Johnston St, Tamworth, NSW 2340, Australia luke.wakely@newcastle.edu.au. 13. School of Rural Health, Monash University, Cnr Day & Victoria Street, Bairnsdale, Vic. 3875, Australia eleanor.mitchell@monash.edu. 14. Deakin Rural Health, School of Medicine, Faculty of Health, Deakin University, Warrnambool, Vic. 3280, Australia daniel.drumm@deakin.edu.au. 15. School of Rural Health, Monash University, 37 Rainforest Walk, Clayton, Vic. 3800, Australia rglangham@gmail.com. 16. Department of Rural Health, The University of Newcastle, 114-148 Johnston St, Tamworth, NSW 2340, Australia jennifer.may@newcastle.edu.au.
Abstract
INTRODUCTION: Inequitable distribution of health workforce limits access to healthcare services and contributes to adverse health outcomes. WHO recommends tracking health professionals from their points of entry into university and over their careers for the purpose of workforce development and planning. Previous research has focused on medical students and graduates' choice of practice location. Few studies have targeted nursing and allied health graduates' practice intentions and destinations. The Nursing and Allied Health Graduate Outcomes Tracking (NAHGOT) study is investigating factors affecting Australian nursing and allied health students and graduates' choice of graduate practice location over the course of their studies and up to 10 years after graduation by linking multiple data sources, including routinely collected university administrative and professional placement data, surveys of students and graduates, and professional registration data. METHODS: By using a prospective cohort study design, each year a new cohort of about 2000 students at each participating university (Deakin University, Monash University and the University of Newcastle) is tracked throughout their courses and for 10 years after graduation. Disciplines include medical radiation practice, nursing and midwifery, occupational therapy, optometry, paramedicine, pharmacy, physiotherapy, podiatry and psychology. University enrolment data are collected at admission and professional placement data are collected annually. Students' practice destination intentions are collected via questions added into the national Student Experience Survey (SES). Data pertaining to graduates' practice destination, intentions and factors influencing choice of practice location are collected in the first and third years after graduation via questions added to the Australian Graduate Outcomes Survey (GOS). Additionally, participants may volunteer to receive a NAHGOT survey in the second and fourth-to-tenth years after graduation. Principal place of practice data are accessed via the Australian Health Practitioner Regulation Agency (Ahpra) annually. Linked data are aggregated and analysed to test hypotheses comparing associations between multiple variables and graduate practice location. RESULTS: This study seeks to add to the limited empirical evidence about factors that lead to rural practice in the nursing and allied health professions. This prospective large-scale, comprehensive study tracks participants from eight different health professions across three universities through their pre-registration education and into their postgraduate careers, an approach not previously reported in Australia. To achieve this, the NAHGOT study links data drawn from university enrolment and professional placement data, the SES, the GOS, online NAHGOT graduate surveys, and Ahpra data. The prospective cohort study design enables the use of both comparative analysis and hypothesis testing. The flexible and inclusive study design is intended to enable other universities, as well as those allied health professions not regulated by Ahpra, to join the study over time. CONCLUSION: The study demonstrates how the systematic, institutional tracking and research approach advocated by the WHO can be applied to the nursing and allied health workforce in Australia. It is expected that this large-scale, longitudinal, multifactorial, multicentre study will help inform future nursing and allied health university admission, graduate pathways and health workforce planning. Furthermore, the project could be expanded to explore health workforce attrition and thereby influence health workforce planning overall.
INTRODUCTION: Inequitable distribution of health workforce limits access to healthcare services and contributes to adverse health outcomes. WHO recommends tracking health professionals from their points of entry into university and over their careers for the purpose of workforce development and planning. Previous research has focused on medical students and graduates' choice of practice location. Few studies have targeted nursing and allied health graduates' practice intentions and destinations. The Nursing and Allied Health Graduate Outcomes Tracking (NAHGOT) study is investigating factors affecting Australian nursing and allied health students and graduates' choice of graduate practice location over the course of their studies and up to 10 years after graduation by linking multiple data sources, including routinely collected university administrative and professional placement data, surveys of students and graduates, and professional registration data. METHODS: By using a prospective cohort study design, each year a new cohort of about 2000 students at each participating university (Deakin University, Monash University and the University of Newcastle) is tracked throughout their courses and for 10 years after graduation. Disciplines include medical radiation practice, nursing and midwifery, occupational therapy, optometry, paramedicine, pharmacy, physiotherapy, podiatry and psychology. University enrolment data are collected at admission and professional placement data are collected annually. Students' practice destination intentions are collected via questions added into the national Student Experience Survey (SES). Data pertaining to graduates' practice destination, intentions and factors influencing choice of practice location are collected in the first and third years after graduation via questions added to the Australian Graduate Outcomes Survey (GOS). Additionally, participants may volunteer to receive a NAHGOT survey in the second and fourth-to-tenth years after graduation. Principal place of practice data are accessed via the Australian Health Practitioner Regulation Agency (Ahpra) annually. Linked data are aggregated and analysed to test hypotheses comparing associations between multiple variables and graduate practice location. RESULTS: This study seeks to add to the limited empirical evidence about factors that lead to rural practice in the nursing and allied health professions. This prospective large-scale, comprehensive study tracks participants from eight different health professions across three universities through their pre-registration education and into their postgraduate careers, an approach not previously reported in Australia. To achieve this, the NAHGOT study links data drawn from university enrolment and professional placement data, the SES, the GOS, online NAHGOT graduate surveys, and Ahpra data. The prospective cohort study design enables the use of both comparative analysis and hypothesis testing. The flexible and inclusive study design is intended to enable other universities, as well as those allied health professions not regulated by Ahpra, to join the study over time. CONCLUSION: The study demonstrates how the systematic, institutional tracking and research approach advocated by the WHO can be applied to the nursing and allied health workforce in Australia. It is expected that this large-scale, longitudinal, multifactorial, multicentre study will help inform future nursing and allied health university admission, graduate pathways and health workforce planning. Furthermore, the project could be expanded to explore health workforce attrition and thereby influence health workforce planning overall.
Entities:
Keywords:
Australia; cohort study; graduates; health workforce; longitudinal study; nurses; students; allied health
Authors: Hannah Beks; Sandra Walsh; Laura Alston; Martin Jones; Tony Smith; Darryl Maybery; Keith Sutton; Vincent L Versace Journal: Int J Environ Res Public Health Date: 2022-01-27 Impact factor: 3.390
Authors: Timothy C Skinner; Libby Semmens; Vincent Versace; Melanie Bish; Isabelle K Skinner Journal: Aust J Rural Health Date: 2022-03-24 Impact factor: 2.060