Measuring Efficiency In Health Care

"This book examines some of the most important techniques currently available to measure the efficiency of systems and organisations, including data envelopment analysis and stochastic frontier analysis, and also presents some promising new methodological approaches." [Title verso].

In this book the authors explore the state of the art on efficiency measurement in health systems and international experts offer insights into the pitfalls and potential associated with various measurement techniques. The authors show that: - The core idea of efficiency is easy to understand in principle - maximizing valued outputs relative to inputs, but is often difficult to make operational in real-life situations - There have been numerous advances in data collection and availability, as well as innovative methodological approaches that give valuable insights into how efficiently health care is delivered - Our simple analytical framework can facilitate the development and interpretation of efficiency indicators.

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.

This book provides a concise synthesis of leading edge research in the theory and practise of efficiency measurement in health and health care. Whilst much of the literature in this area is confusing and impregnable, Hollingsworth and Peacock show the logical links between the economic theory underlying efficiency, the methods used in analysis and practical application of measurement techniques including Data Envelopment Analysis and Stochastic Frontiers Analysis. The book outlines which methods are most suitable in which setting, how to specify valid models, and how to undertake a study and effectively disseminate results. The current state of the art is assessed in terms of methods and published applications, and undertakes practical applications of advanced methods, including analysis of economies of scale and scope, variable weightings, specification testing, and estimation of the efficient production of health. Finally, the way forward in efficiency measurement in health is outlined, mapping out an agenda for future research and policy development.

In a world where there is increasing demand for the performance of health providers to be measured, there is a need for a more strategic vision of the role that performance measurement can play in securing health system improvement. This volume meets this need by presenting the opportunities and challenges associated with performance measurement in a framework that is clear and easy to understand. It examines the various levels at which health system performance is undertaken, the technical instruments and tools available, and the implications using these may have for those charged with the governance of the health system. Technical material is presented in an accessible way and is illustrated with examples from all over the world. Performance Measurement for Health System Improvement is an authoritative and practical guide for policy makers, regulators, patient groups and researchers.

The National Roundtable on Health Care Quality was established in 1995 by the Institute of Medicine. The Roundtable consists of experts formally appointed through procedures of the National Research Council (NRC) who represent both public and private-sector perspectives and appropriate areas of substantive expertise (not organizations). From the public sector, heads of appropriate Federal agencies serve. It offers a unique, nonadversarial environment to explore ongoing rapid changes in the medical marketplace and the implications of these changes for the quality of health and health care in this nation. The Roundtable has a liaison panel focused on quality of care in managed care organizations. The Roundtable convenes nationally prominent representatives of the private and public sector (regional, state and federal), academia, patients, and the health media to analyze unfolding issues concerning quality, to hold workshops and commission papers on significant topics, and when appropriate, to produce periodic statements for the nation on quality of care matters. By providing a structured opportunity for regular communication and interaction, the Roundtable fosters candid discussion among individuals who represent various sides of a given issue.

Measuring Capacity to Care Using Nursing Data presents evidence-based solutions regarding the adoption of safe staffing principles and the optimum use of operational data to enable health service delivery strategies that result in improved patient and organizational outcomes. Readers will learn how to make better use of informatics to collect, share, link and process data collected operationally for the purpose of providing real-time information to decision- makers. The book discusses topics such as dynamic health care environments, health care operational inefficiencies and costly events, how to measure nursing care demand, nursing models of care, data quality and governance, and big data. The content of the book is a valuable source for graduate students in informatics, nurses, nursing managers and several members involved in health care who are interested in learning more about the beneficial use of informatics for improving their services. Presents and discusses evidences from real-world case studies from multiple countries Provides detailed insights of health system complexity in order to improve decision- making Demonstrates the link between nursing data and its use for efficient and effective healthcare service management Discusses several limitations currently experienced and their impact on health service delivery

How do the benefits of higher education compare with its costs, and how does this comparison vary across individuals and institutions? These questions are fundamental to quantifying the productivity of the education sector. The studies in Productivity in Higher Education use rich and novel administrative data, modern econometric methods, and careful institutional analysis to explore productivity issues. The authors examine the returns to undergraduate education, differences in costs by major, the productivity of for-profit schools, the productivity of various types of faculty and of outcomes, the effects of online education on the higher education market, and the ways in which the productivity of different institutions responds to market forces. The analyses recognize five key challenges to assessing productivity in higher education: the potential for multiple student outcomes in terms of skills, earnings, invention, and employment; the fact that colleges and universities are “multiproduct” firms that conduct varied activities across many domains; the fact that students select which school to attend based in part on their aptitude; the difficulty of attributing outcomes to individual institutions when students attend more than one; and the possibility that some of the benefits of higher education may arise from the system as a whole rather than from a single institution. The findings and the approaches illustrated can facilitate decision-making processes in higher education.