Title:
Costing of Essential Health Services, Kenya
Costing of Essential Health Services, Kenya
Start Date:
March 2007
March 2007
Completion Date:
January 2010
January 2010
Client(s):
Government of Kenya
Government of Kenya
Funder(s):
Deutsche Gesellschaft für Technische Zusammenarbeit(GTZ)
Deutsche Gesellschaft für Technische Zusammenarbeit(GTZ)
Location:
Kenya, Eastern Africa,
Kenya, Eastern Africa,
Key Contact:
Mike Naylor
Mike Naylor
Summary:
Kenya has embarked on an ambitious health financing reform. OPM was asked to carry out a costing study of the Kenya Essential Package of Health (KEPH). Health services not included in the KEPH are equally costed albeit in lesser detail. In a first stage a costing model has been designed based on the health financing policy objectives of the Ministry of Health. Extensive meetings with national and international stakeholders in the Kenyan health sector have equally shaped the model features and have ensured widespread buy-in and support for the process. Particular attention was also been paid to maximise the interface between the model and the HMIS, allowing for easy future update of some model components. The data needed to populate the prototype costing model have subsequently been defined. Primary data collection involving about 250 health facilities throughout the country is presently underway. Future work will involve using the outputs of the finalised costing model in other aspects of the Kenyan health finance architecture.
Kenya has embarked on an ambitious health financing reform. OPM was asked to carry out a costing study of the Kenya Essential Package of Health (KEPH). Health services not included in the KEPH are equally costed albeit in lesser detail. In a first stage a costing model has been designed based on the health financing policy objectives of the Ministry of Health. Extensive meetings with national and international stakeholders in the Kenyan health sector have equally shaped the model features and have ensured widespread buy-in and support for the process. Particular attention was also been paid to maximise the interface between the model and the HMIS, allowing for easy future update of some model components. The data needed to populate the prototype costing model have subsequently been defined. Primary data collection involving about 250 health facilities throughout the country is presently underway. Future work will involve using the outputs of the finalised costing model in other aspects of the Kenyan health finance architecture.
