Suppr超能文献

Factors associated with Australian and New Zealand oncologists' future work preferences.

作者信息

Dear Rachel F, Tattersall Martin H N, McGeechan Kevin, Vaughan Michelle

机构信息

Centre for Medical Psychology and Evidence-based Decision-making School of Public Health, University of Sydney, NSW 2006, Australia.

出版信息

Asia Pac J Clin Oncol. 2011 Mar;7(1):56-64. doi: 10.1111/j.1743-7563.2010.01371.x. Epub 2011 Jan 26.

Abstract

AIM

To understand the factors associated with oncologists' work preferences to help future workforce planning.

METHODS

In May 2008 a questionnaire was e-mailed to members of the Medical Oncology Group of Australia, Fellowship of Radiation Oncologists and the New Zealand Association of Cancer Specialists. Univariate and multivariate analysis were used to determine if gender, age, specialist status or specialty were associated with the intention to work full time or part time or consider weekend or evening work, and with the level of satisfaction with current working hours.

RESULTS

In total, 205 medical and radiation oncologists and trainees responded. Overall 77 (38%) oncologists intended to work part time. There was strong evidence (P<0.0001) that women were more likely than men to want to work part time (OR 4.18, 95% CI, 2.12-8.22). Overall 52% of oncologists were not prepared to work on weekends. Women were less willing to consider working on weekends than men (P=0.02, OR 0.48, 95% CI 0.26-0.89). A total of 58% of oncologists felt they were working more than their ideal working hours. There was evidence (P<0.0001) that this was independently associated with oncology specialty; medical oncologists had twice the odds of feeling dissatisfied with their working hours compared with radiation oncologists (OR 2.18, 95% CI 1.20-3.94).

CONCLUSION

Female gender was the most important factor associated with wanting to work part time. This should be considered when planning the oncology workforce, particularly because an increasing number of oncologists are women.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验