- Poster presentation
- Open Access
Job preferences of primary health care workers in rural China: application of Discrete Choice Experiment
- Xiaoyun Liu1
© Liu; licensee BioMed Central Ltd. 2014
- Published: 7 July 2014
- Health Worker
- Primary Health Care
- Discrete Choice Experiment
- Resource Poor Setting
- Education Opportunity
The shortage of qualified health workers in primary health care (PHC) in rural China has been a long-term challenge in China. Health workers’ job preferences and job choices are determined by various external and intrinsic factors. These factors are constantly changing along with the health system reform. This study aims to quantitatively measure job preferences of health workers in rural areas in the context of health system reform in China.
A Discrete Choice Experiment (DCE) was applied to study the determinants of health workers’ job preferences. Using a multi-stage stratified sampling process, 228 doctors and 165 nurses were selected from 45 township health centers in 3 provinces in China. 6 job attributes were included in the DCE design (working location, income, permanent position, training opportunities, children’s education opportunities, and career development). Questionnaires with 16 questions were self-administered in August 2013. A conditional logit model was applied to analyze the DCE data.
Income level was the most important factor for health workers’ attraction and retention (OR=7.0 when comparing 8000 RMB versus 2000 RMB per month). The second important factor was education opportunities for their children (OR=4.3 for females and 2.9 for males). The third important factor was a permanent position (OR=2.7).
Extrinsic factors play dominant role in attracting and retaining PHC workers in rural China. Government should take a leading role in response to the inequitable distribution of health workers, especially in resource poor settings where health workers’ income are far beyond a satisfactory level. Application of the DCE should be in close collaboration with relevant policy makers for the research to have policy engagement.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.