Bokus
Rowena Jacobs, Peter C. Smith, Andrew Street - Measuring Efficiency in Health Care, Inbunden

Inbunden, Engelska, 2006

Measuring Efficiency in Health Care

Analytic Techniques and Health Policy

Av Rowena Jacobs, Peter C. Smith, Andrew Street

1073 kr

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Beskrivning
With the healthcare sector accounting for a sizeable proportion of national expenditures, the pursuit of efficiency has become a central objective of policymakers within most health systems. However, the analysis and measurement of efficiency is a complex undertaking, not least due to the multiple objectives of health care organizations and the many gaps in information systems. In response to this complexity, research in organizational efficiency analysis has flourished. This 2006 book examines some of the most important techniques currently available to measure the efficiency of systems and organizations, including data envelopment analysis and stochastic frontier analysis, and also presents some promising new methodological approaches. Such techniques offer the prospect of many new and fruitful insights into health care performance. Nevertheless, they also pose many practical and methodological challenges. This is an important critical assessment of the strengths and limitations of efficiency analysis applied to health and health care.
Produktinformation
  • Utgivningsdatum: 2006-06-01
  • Mått: 156 x 235 x 21 mm
  • Vikt: 546 g
  • Format: Inbunden
  • Språk: Engelska
  • Antal sidor: 262
  • Förlag: Cambridge University Press
  • ISBN: 9780521851442
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Mer om författaren

Rowena Jacobs is a Research Fellow at the Centre for Health Economics, University of York. Peter C. Smith is Professor of Economics at the University of York. Andrew Street is Senior Research Fellow at the Centre for Health Economics, University of York.

Recensioner i media

'Many health efficiency researchers have locked themselves into becoming experts in a small set of methods, but this excellent book illustrates why everyone's toolkit needs to be more expansive to answer the policy questions at hand. And more importantly, it explains how to choose the right model for the right policy question.' James F. Burgess, Jr, Boston University School of Public Health

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