The study group included 117 health centers in a province of Turkey. This descriptive study didn’t include any primary data collection; instead, analyses were made using secondary data, collected via routine health recording system of the health centers, between 1999 through 2003. The model developed in this study implies that: 1) reliable and complete data from health centers should be grouped as “service” and “demographic”; 2) branch off each group as “incomes" and "outcomes"; 3) factor analysis is applied to each of the four groups separately (the smallest number of variables required for assessing the productivity are identified via factor analysis); 4) data envelope analysis is applied (data envelop analysis is carried out to distinguish the "productive" and "non-productive" health centers and to identify the reasons for nonproductiveness in order to guide health policy makers).
In this study, a model was developed to assess the performance of health centers, using the routinely collected data, and was tested. By means of the proposed model, the productivity of institutions suffering from missing/incomplete data can be assessed by limited data. Such a reduction in the amount of data needed for assessment would decrease the burden on service providers, while increasing the quality of data collected.
Learning Objectives: 1- Discuss the importance of assessing the effectiveness of primary health care units 2- Recognize the use of a “Performance Assessment Model” which was offering for primary health care units in Turkey
Sub-Theme: Public Health and Research: Evidence Based Policy on Health