How to keep registered nurses working in New Zealand even as economic conditions improve

Hum Resour Health. 2018 Sep 10;16(1):45. doi: 10.1186/s12960-018-0312-x.

Abstract

Background: Many registered nurses (RNs) increased their participation in the New Zealand health workforce during the Global Financial Crisis (GFC), resulting in low vacancy rates. However, based on the documented impact of improving economies, a mean RN age of about 50, and just-agreed substantive increases in RN pay rates, it is likely that many will soon leave or reduce the hours they work. This study aims to investigate whether improved financial security will encourage RNs to leave or reduce their work commitment and to identify the factors that influence such intentions.

Methods: An exploratory study using a cross-sectional survey design. Data were collected in 2014-2015 via an e-survey of 2,910 RNs in New Zealand. Data were analysed by regression.

Results: We found that due to "burnout" and low "work engagement", both of which are strongly affected by workload and work-life interference, 22.6% of the RNs surveyed plan to leave work altogether and a further 32% plan to reduce their workforce participation when their financial situations improve.

Conclusions: The findings justify the urgent cooperative development, implementation and evaluation of a comprehensive suite of RN 'retention' measures involving national nursing organisations, the RN regulator and health system employers and funders.

Keywords: Burnout; Nurse retention; Nursing turnover; Work engagement; Work-life interference; Workload.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Burnout, Professional / psychology*
  • Cross-Sectional Studies
  • Female
  • Health Workforce / statistics & numerical data*
  • Humans
  • Job Satisfaction*
  • Male
  • Middle Aged
  • New Zealand
  • Nurses / psychology*
  • Nurses / statistics & numerical data*
  • Personnel Turnover / statistics & numerical data*
  • Salaries and Fringe Benefits / statistics & numerical data*
  • Surveys and Questionnaires