The relationship between socio-economic factors and responsiveness gaps in primary, preventative and health promotion services

Health Expect. 2015 Dec;18(6):2638-50. doi: 10.1111/hex.12238. Epub 2014 Jul 2.

Abstract

Objective: To examine whether there are individual level factors such as socio-economic status that may predict disparities in the public's experiences with and expectations of their health-care providers.

Data sources/study setting: Primary data were collected in 2010. The sample comprised of 1211 Israeli citizens above the age of 18.

Study design: Participants were randomly approached at one points in time and presented with statements regarding practices they experience and practices that are important to them related to primary care, preventive care and health promotion. We calculated a difference scores for each health-care area. We measured socio-economic status (SES) with three separate variables relating to income, education and living location.

Data collection/extraction methods: Employees of a professional telephone survey firm conducted the survey. Multiple regression was used with the responsiveness gap in each of three health-care areas as the dependent variables.

Principal findings: We found that level of education is negatively related to the extent of the responsiveness gap in both primary and preventive health care and that income is negatively related to the responsiveness gap in health promotion.

Conclusions: Personal characteristics such as SES are related to people's perceptions about the extent of the responsiveness gap. Policy makers can now expend efforts and resources in minimizing such responsiveness gaps among specific populations.

Keywords: health policy; health-care access; health-care disparities; responsiveness gap; socio-economic factors.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Educational Status
  • Female
  • Health Promotion / economics
  • Health Promotion / statistics & numerical data*
  • Healthcare Disparities / economics
  • Healthcare Disparities / statistics & numerical data*
  • Humans
  • Income
  • Israel
  • Male
  • Middle Aged
  • Preventive Medicine / economics
  • Preventive Medicine / statistics & numerical data*
  • Primary Health Care / economics
  • Primary Health Care / statistics & numerical data*
  • Socioeconomic Factors