Quantifying Staff Preferences for Workforce Retention Strategies in Remote Australian Primary Health Care Services

The comparison of different methodologies reveals the advantages of using a BWS Object Case methodological approach for measuring primary health care service workers' preferences in remote primary health care settings. Importantly, this paper demonstrates how the quantified results from BWS object case analysis can be translated into actionable retention initiatives designed to retain remote area health workers, given ongoing budget constraints and the need to ensure cultural appropriateness. What is already known on this subject? Remote Australian health services have been persistently impacted by high turnover of health care staff. Stated preference survey methods have only been occasionally applied in health research in high income countries to understand health care workers' preferences in remote settings. Different methodological approaches have a range of strengths and weaknesses which may make them more or less suitable for use in remote settings. What does this study add? This study compares a range of methodological approaches that could be used to measure remote primary health care service staff members' preferences. A rationale is provided for using a Best-Worst Scaling Object Case methodological approach for measuring primary health care service staff members' preferences in remote Aboriginal health care settings.

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Publication Details

Journal
Australian Journal of Rural Health
Published
2026-03-27
DOI
https://doi.org/10.1111/ajr.70170
Primary Topic
Global Health Workforce Issues
Type
article
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article

Quantifying Staff Preferences for Workforce Retention Strategies in Remote Australian Primary Health Care Services

Nanda Kaji Budhathoki, Karrina DeMasi, Mark Ramjan, Deborah Russell et al.
Australian Journal of Rural Health
Global Health Workforce Issues
article

Quantifying Staff Preferences for Workforce Retention Strategies in Remote Australian Primary Health Care Services

Nanda Kaji Budhathoki, Karrina DeMasi, Mark Ramjan, Deborah Russell, Supriya Mathew, Yuejen Zhao, John Humphreys, Leander Menezes, Kristal Lawrence, Donna‐Maree Stephens
article en

Abstract

The comparison of different methodologies reveals the advantages of using a BWS Object Case methodological approach for measuring primary health care service workers' preferences in remote primary health care settings. Importantly, this paper demonstrates how the quantified results from BWS object case analysis can be translated into actionable retention initiatives designed to retain remote area health workers, given ongoing budget constraints and the need to ensure cultural appropriateness. What is already known on this subject? Remote Australian health services have been persistently impacted by high turnover of health care staff. Stated preference survey methods have only been occasionally applied in health research in high income countries to understand health care workers' preferences in remote settings. Different methodological approaches have a range of strengths and weaknesses which may make them more or less suitable for use in remote settings. What does this study add? This study compares a range of methodological approaches that could be used to measure remote primary health care service staff members' preferences. A rationale is provided for using a Best-Worst Scaling Object Case methodological approach for measuring primary health care service staff members' preferences in remote Aboriginal health care settings.

Australian Journal of Rural HealthVol. 34(2)
Government of South Australia (AU), Charles Darwin University (AU), Menzies School of Health Research (AU), Tharawal Aboriginal (AU), Northern Territory Health Services (AU), SA Health (AU), Monash Health (AU), Aboriginal Health Council of South Australia (AU), Monash University (AU)
Openalex Percentile: Top 2%
Global Health Workforce Issues
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