Patient referral patterns in Namibia: identification of potential to improve the efficiency of the health care system

Int J Health Plann Manage. 2001 Jul-Sep;16(3):243-57. doi: 10.1002/hpm.628.

Abstract

In order to assess how the hospital referral system in Namibia was operating, a cross-sectional survey of patients attending three intermediate hospitals and the national hospital was conducted over a 4-week period. The survey was planned by a Ministry of Health and Social Services' working group, with technical support provided by a donor funded health programme. Together with complementary qualitative data, obtained through focus group discussions with the community, the survey generated information on the extent to which the referral system was being bypassed, the types of bypassing and related factors. These included reasons for non-compliance with referral to the intermediate hospitals, perceived barriers to their utilization and community preparedness to use these hospitals after upgrading. The results were used to inform decisions about the classification of the three hospitals and identification of their catchment areas. The results were also shown to be useful for assessing the likely impact of different strategies for reducing bypassing. In Namibia these impacts were expected to be limited, due to the influence of distance and low population densities. Information on the extent and types of bypassing taking place across districts is essential for assessing opportunities to improve the functioning of a pyramidal referral system, which supports a cost-effective primary health care strategy.

MeSH terms

  • Catchment Area, Health
  • Cross-Sectional Studies
  • Efficiency, Organizational*
  • Focus Groups
  • Health Care Surveys
  • Health Services Accessibility / organization & administration*
  • Health Services Accessibility / statistics & numerical data
  • Health Services Research
  • Hospitals, Public / statistics & numerical data*
  • Namibia
  • Primary Health Care
  • Referral and Consultation / organization & administration*
  • Referral and Consultation / statistics & numerical data