Ethnic disparities and temporal trends in health resource allocation: a retrospective decadal analysis in Sichuan, a multi-ethnic Province of Southwest China (2009-2019)

BMC Health Serv Res. 2024 Apr 27;24(1):541. doi: 10.1186/s12913-024-11036-6.

Abstract

Background: Research on health resource allocation trends in ethnic minority and impoverished areas in China is limited since the 2009 Medical Reform. This study aimed to investigate the variations and inequalities in health resource distribution among ethnic minority, poverty-stricken, and non-minority regions in Sichuan Province, a multi-ethnic province in Southwest China, from 2009 to 2019.

Methods: The numbers of beds, doctors and nurses were retrospectively sourced from the Sichuan Health Statistics Yearbook between 2009 and 2019. All the 181 counties in Sichuan Province were categorized into five groups: Yi, Zang, other ethnic minority, poverty-stricken, and non-minority county. The Theil index, adjusted for population size, was used to evaluate health resource allocation inequalities.

Results: From 2009 to 2019, the number of beds (Bedp1000), doctors (Docp1000), and nurses (Nurp1000) per 1000 individuals in ethnic minority and poverty-stricken counties consistently remained lower than non-minority counties. The growth rates of Bedp1000 in Yi (140%) and other ethnic minority counties (127%) were higher than in non-minority counties (121%), while the growth rates of Docp1000 in Yi (20%) and Zang (11%) counties were lower than non-minority counties (61%). Docp1000 in 33% and 50% of Yi and Zang ethnic counties decreased, respectively. Nurp1000 in Yi (240%) and other ethnic minority (316%) counties increased faster than non-minority counties (198%). The Theil index for beds and nurses declined, while the index for doctors increased. Key factors driving increases in bed allocation include preferential policies and economic development levels, while health practitioner income, economic development levels and geographical environment significantly influence doctor and nurse allocation.

Conclusions: Preferential policies have been successful in increasing the number of beds in health facilities, but not healthcare workers, in ethnic minority regions. The ethnic disparities in doctor allocation increased in Sichuan Province. To increase the number of doctors and nurses in ethnic minority and poverty-stricken regions, particularly in Yi counties, more preferential policies and resources should be introduced.

Keywords: Health practitioner; Poverty-stricken region; Theil index; Tibetan ethnic; Yi ethnic.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China / ethnology
  • Ethnicity / statistics & numerical data
  • Healthcare Disparities* / ethnology
  • Healthcare Disparities* / statistics & numerical data
  • Healthcare Disparities* / trends
  • Humans
  • Minority Groups / statistics & numerical data
  • Nurses / statistics & numerical data
  • Physicians / statistics & numerical data
  • Physicians / supply & distribution
  • Poverty / statistics & numerical data
  • Resource Allocation
  • Retrospective Studies