By Bruce Hollingsworth
ISBN-10: 0203486560
ISBN-13: 9780203486566
ISBN-10: 0415271371
ISBN-13: 9780415271370
This booklet presents a concise synthesis of cutting edge examine within the thought and training of potency dimension in wellbeing and fitness and well-being care. while a lot of the literature during this region is complicated and impregnable, Hollingsworth and Peacock exhibit the logical hyperlinks among the industrial concept underlying potency, the equipment utilized in research and functional software of dimension innovations together with information Envelopment research and Stochastic Frontiers research. The publication outlines which equipment are best suited within which environment, tips to specify legitimate versions, and the way to adopt a learn and successfully disseminate effects. the present cutting-edge is classified when it comes to tools and released functions, and undertakes functional functions of complex equipment, together with research of economies of scale and scope, variable weightings, specification trying out, and estimation of the effective construction of health. eventually, the way in which ahead in potency dimension in overall healthiness is printed, mapping out an schedule for destiny study and coverage improvement.
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Example text
E. technology) can progress (with a score greater than unity), regress (with a score of less than unity), or stay in the same position (with a unit score). Malmquist indices are increasingly used in health care: see Hollingsworth and Wildman (2003) for a practical example, and other examples as noted in Chapter 5. Stochastic frontier analysis The development of SFA was, at least in part, a response to the limitations of DEA described above. SFA decomposes the error term from the classical linear regression model into two parts.
2005), and priority setting techniques including cost per QALY league tables and programme budgeting and marginal analysis (Mooney et al. 1992). These approaches have generally focused on health-care interventions and treatments as the unit of input, attaching cost figures to the resources used in making up those interventions. Empirical studies of technical and allocative efficiency in the production of health care have focused on analysis of health-care production and cost functions. Increasingly these studies are using the frontier-based approaches of DEA and SFA to analyse efficiency.
Therefore DEA provides a tool for analysing both input and output relationships, and possible other factors which are important in determining output levels. The technique produces a measure of a health-care producer’s efficiency by the method proposed by Farrell (1957) which is based on the ratio of by how much a particular producer could reduce its inputs and still maintain the same level of output. The measure is independent of output prices and is solely based on technical efficiency issues, which has clear advantages for the use of DEA in the public sector where price information is frequently absent.
Efficiency Measurement in Healthcare (International Studies in Healthcare) by Bruce Hollingsworth
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