| Literature DB >> 25913830 |
Nikolaos Oikonomou1,2, Yannis Tountas3, Argiris Mariolis4,5, Kyriakos Souliotis3,6, Kostas Athanasakis7, John Kyriopoulos7.
Abstract
This is a study to measure the efficiency of the rural Health Centres (HCs) and their Regional Surgeries (RSs) of the 6th Health Prefecture (HP) of Greece, which covers Southern and Western Greece. Data Envelopment Analysis (DEA) was applied under Constant and Variable Returns to Scale, using a weight-restricted, output-oriented model, to calculate pure technical efficiency (PΤΕ), scale efficiency (SE) and total technical efficiency (TE). The selection of inputs, outputs and their relative weights in the model was based on two consecutive consensus panels of experts on Primary Health Care (PHC). Medical personnel, nursing personnel and technological equipment were chosen as inputs and were attributed appropriate weight restrictions. Acute, chronic and preventive consultations where chosen as outputs; each output was constructed by smaller subcategories of different relative importance. Data were collected through a questionnaire sent to all HCs of the covered area. From the 42 HCs which provided complete data, the study identified 9 as technical efficient, 5 as scale efficient and 2 as total efficient. The mean TE, PTE and SE scores of the HCs of the 6th Health Prefecture were 0.57, 0.67 and 0.87, respectively. The results demonstrate noteworthy variation in efficiency in the productive process of the HCs of Southern and Western Greece. The dominant form of inefficiency was technical inefficiency. The HCs of the 6th HP can theoretically produce 33 % more output on average, using their current production factors. These results indicated potential for considerable efficiency improvement in most rural health care units. Emphasis on prevention and chronic disease management, as well as wider structural and organisational reforms, are discussed from the viewpoint of how to increase efficiency.Keywords: Data envelopment analysis; Delphi; Health Centres; Weights
Mesh:
Year: 2015 PMID: 25913830 DOI: 10.1007/s10729-015-9324-4
Source DB: PubMed Journal: Health Care Manag Sci ISSN: 1386-9620