Using DEA to evaluate efficiency and formulate policy within a Greek national primary health care network. Data Envelopment Analysis.
The purpose of this paper is to critically evaluate the relative efficiency of primary health care centers of the principal Greek public insurance provider, the Social Security Institute (IKA). The source of the efficiency data was the Statistical Unit of IKA. Using Data Envelopment Analysis, we analyzed data from 133 centers nationwide. Input variables included the number of personnel, stratified in different categories, and the number of people covered by each health center. The number of pensioners enlisted to each health care facility was used as an index of aging and vulnerability of the covered population. According to the results of the study, centers with the technological infrastructure to perform laboratory and/or radiographic examinations exhibited higher efficiency scores. In addition, centers with eligible covered populations from 10,000 to 50,000 were found as the most efficient. Health sector reforms should be planned on the basis of such analyses. If the model is supplemented with valid demographic, socioeconomic, and epidemiological data, it may become the basis for the creation of a national health care chart, matching available resources to the population and its health care needs.
Department of Health Policy and Epidemiology, Harvard School of Dental Medicine, Boston, Massachusetts 02115, USA. zavras@hms.harvard.edu
Athanasios I
AI
Zavras
Georgios
G
Tsakos
Charalabos
C
Economou
John
J
Kyriopoulos
D017598:Efficiency, Organizational / Q000706:statistics & numerical data*; D006115:Greece; D015276:Health Care Rationing / Q000706:statistics & numerical data; D006285:Health Planning / Q000706:statistics & numerical data*; D008330:Management Audit / Q000379:methods*; D009313:National Health Programs / Q000458:organization & administration* / Q000706:statistics & numerical data; D011050:Policy Making; D011320:Primary Health Care / Q000458:organization & administration* / Q000706:statistics & numerical data; D013223:Statistics as Topic / Q000379:methods