Health care utilization as a function of subjective health status, job satisfaction and gender among health care workers in Guangzhou, southern China

Soc Sci Med. 1995 Oct;41(8):1103-10. doi: 10.1016/0277-9536(94)00418-s.

Abstract

Job satisfaction, subjective health and health care utilization was studied on 72 doctors and 127 nurses working at two hospitals in Guangzhou in the People's Republic of China (P.R.C.), along with medication use and consultations with physicians over the 14 days preceding data collection. Female doctors were, on average, ten years older than male doctors. Nurses (all female) were comparable to male doctors in terms of age. Current and general subjective health, and job satisfaction differed between doctors and nurses. Nurses were less satisfied than doctors and reported poorer perceived health, until gender and age were controlled. Female doctors had poorer ratings of general and current subjective health and lower job satisfaction than their male colleagues. Path analysis tested whether lower job satisfaction leads to decrements in perceived current health which in turn increased consultation with a physician and medication use. When male and female subjects were examined separately, job satisfaction was inversely related to consultation behaviour among males and positively related to perceived current health in both genders. Among females job satisfaction and consultation behaviour related to current perceived health but were not related to each other. The hypothesized path was upheld for nurses. Lack of power prevented the same path being significant for male or female doctors. In combination, doctors showed significant relationships between the four main variables studied.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Attitude to Health*
  • China
  • Cross-Cultural Comparison
  • Developing Countries*
  • Female
  • Gender Identity*
  • Health Personnel / statistics & numerical data*
  • Humans
  • Job Satisfaction*
  • Male
  • Middle Aged
  • Nurses / statistics & numerical data
  • Patient Care Team / statistics & numerical data*
  • Physicians / statistics & numerical data
  • Referral and Consultation / statistics & numerical data*