Data Envelopment Analysis Application in Hospital Efficiency Measurement: A Bibliometric Study
Syarifa Hanoum (a), Mushonnifun Faiz Sugihartanto (b*), Jovanka Nabilah Hadi (c), Sri Yayu Ninglasari (d)

a,b,c,d) Department of Business Management, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia

Abstract

The growing demand for health services causes hospitals to be more careful in providing and evaluating their services^ efficiency. As a result, hospitals are becoming a significant cost driver in healthcare systems worldwide that are facing increasing pressure to maintain efficiency. This article endeavours to dig state of the art of literature on the use of Data Envelopment Analysis in hospital efficiency. This research uses bibliometric analysis by evaluating 152 documents from the Scopus and Pubmed databases. The VOSviewer software was used for assessing the network among frequently cited publications. Bibliometric analysis was carried out by conducting citation analysis and co-citation analysis and providing network visualisation analysis. In addition, a trend analysis is carried out based on keyword co-occurrence. The analysis of trends of data envelopment analysis in measuring efficiency in hospitals is divided into three periods. In the first period (1983-2000), the measurement of technical efficiency was often used, the second period (2001-2010) showed that the DEA model began to emerge, and the third period (2011-2020) depicted many new developments of DEA model. The results show that the most decision-making unit used in the study is the public district hospital, with a percentage of 30%. The most used DEA models in this study are oriented variable returns to scale (VRS) models, input, and the type of efficiency measurement that is most widely used to measure technical efficiency (technical efficiency) in hospitals, with a percentage of 49%.

Keywords: Bibliometric Analysis- Data Envelopment Analysis- Efficiency- Hospital

Topic: Business and Economic