Basing care reforms on evidence: the Kenya health sector costing model

BMC Health Serv Res. 2011 May 27:11:128. doi: 10.1186/1472-6963-11-128.

Abstract

Background: The Government of the Republic of Kenya is in the process of implementing health care reforms. However, poor knowledge about costs of health care services is perceived as a major obstacle towards evidence-based, effective and efficient health care reforms. Against this background, the Ministry of Health of Kenya in cooperation with its development partners conducted a comprehensive costing exercise and subsequently developed the Kenya Health Sector Costing Model in order to fill this data gap.

Methods: Based on standard methodology of costing of health care services in developing countries, standard questionnaires and analyses were employed in 207 health care facilities representing different trustees (e.g. Government, Faith Based/Nongovernmental, private-for-profit organisations), levels of care and regions (urban, rural). In addition, a total of 1369 patients were randomly selected and asked about their demand-sided costs. A standard step-down costing methodology was applied to calculate the costs per service unit and per diagnosis of the financial year 2006/2007.

Results: The total costs of essential health care services in Kenya were calculated as 690 million Euros or 18.65 Euro per capita. 54% were incurred by public sector facilities, 17% by Faith Based and other Nongovernmental facilities and 23% in the private sector. Some 6% of the total cost is due to the overall administration provided directly by the Ministry and its decentralised organs. Around 37% of this cost is absorbed by salaries and 22% by drugs and medical supplies. Generally, costs of lower levels of care are lower than of higher levels, but health centres are an exemption. They have higher costs per service unit than district hospitals.

Conclusions: The results of this study signify that the costs of health care services are quite high compared with the Kenyan domestic product, but a major share are fixed costs so that an increasing coverage does not necessarily increase the health care costs proportionally. Instead, productivity will rise in particular in under-utilized private health care institutions. The results of this study also show that private-for-profit health care facilities are not only the luxurious providers catering exclusively for the rich but also play an important role in the service provision for the poorer population. The study findings also demonstrated a high degree of cost variability across private providers, suggesting differences in quality and efficiencies.

MeSH terms

  • Decision Making
  • Developing Countries
  • Evidence-Based Medicine / economics*
  • Evidence-Based Medicine / statistics & numerical data
  • Evidence-Based Medicine / trends
  • Health Care Costs / statistics & numerical data*
  • Health Care Reform / economics*
  • Health Care Reform / statistics & numerical data
  • Health Care Reform / trends
  • Health Expenditures / statistics & numerical data
  • Health Policy / trends*
  • Humans
  • Inpatients / statistics & numerical data
  • Kenya
  • Models, Economic
  • Models, Organizational
  • Surveys and Questionnaires