Translating frontiers into practice: Taking the next steps toward improving hospital efficiency
MetadataShow full item record
Frontier techniques, including data envelopment analysis (DEA) and stochastic frontier analysis (SFA), have been used to measure health care provider efficiency in hundreds of published studies. Although these methods have the potential to be useful to decision makers, their utility is limited by both methodological questions concerning their application, as well as some disconnect between the information they provide and the insight sought by decision makers. The articles in this special issue focus on the application of DEA and SFA to hospitals with the hope of making these techniques more accurate and accessible to end users. This introduction to the special issue highlights the importance of measuring the efficiency of health care providers, provides a background on frontier techniques, contains an overview of the articles in the special issue, and suggests a research agenda for DEA and SFA. © The Author(s) 2011.
Showing items related by title, author, creator and subject.
Public sector efficiency of decentralized local government in Indonesia : a political and institutional analysisKurnia, Akhmad Syakir (2012)This thesis investigates public sector efficiency (PSE) of decentralized local governments in Indonesia. Based on the literature review improved efficiency is considered as the main outcome expected from a decentralized ...
Finding Common Ground: relational concepts of land tenure and economy in the oil palm frontier of Papua New GuineaCurry, George; Koczberski, Gina (2009)In the oil palm frontier regions of West New Britain and Oro provinces, Papua New Guinea, customary land tenure arrangements are changing in response to the growing demand for land for agricultural development. This paper ...
An integrated neural network algorithm for optimum performance assessment of auto industry with multiple outputs and corrupted data and noiseSaberi, Morteza; Azadeh, A.; Tofighi, S.; Pazhoheshfar, P. (2011)In the real world encountering with noisy and corrupted data is unavoidable. Auto industry sector (AIS) as a one of the significant industry encounters with noisy and corrupted data regarding to its rapid development. ...