Health policy
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This series from the NBER presents new research by leading economists on current health care policy issues. The papers in this seventh volume, originally presented at the annual Frontiers in Health Policy Research conference held in Washington D.C. in the summer of 2003, reflect the economic challenges faced by policymakers and health care professionals in an age of budget deficits. Topics discussed include prescription drug benefits as a stand-alone component of Medicare, disability rates and Medicare costs, and conversion to for-profit health plans.

Sixth edition (2003), Fifth edition (2002), Fourth edition (2001), Third edition (2000), Second edition (1999), First edition (1998)

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Cambridge, MA: MIT Press
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How successful are HIV prevention programs? Which HIV prevention programs are most cost effective? Which programs are worth expanding and which should be abandoned altogether? This book addresses the quantitative evaluation of HIV prevention programs, assessing for the first time several different quantitative methods of evaluation.

The authors of the book include behavioral scientists, biologists, economists, epidemiologists, health service researchers, operations researchers, policy makers, and statisticians. They present a wide variety of perspectives on the subject, including an overview of HIV prevention programs in developing countries, economic analyses that address questions of cost effectiveness and resource allocation, case studies such as Israel's ban on Ethiopian blood donors, and descriptions of new methodologies and problems.

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Yale Press in "Quantitative Evaluation of HIV Prevention Programs", Kaplan EH, Brookmeyer R, eds.
Authors
Douglas K. Owens
Ross D. Shachter
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0300087519
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Prevention is an important role for all health care providers. Providers can help individuals stay healthy by preventing disease, and they can prevent complications of existing disease by helping patients live with their illnesses. To fulfill this role, however, providers need data on the impact of their services and the opportunity to compare these data over time or across communities. Local, State, and Federal policymakers also need these tools and data to identify potential access or quality-of-care problems related to prevention, to plan specific interventions, and to evaluate how well these interventions meet the goals of preventing illness and disability.

The Agency for Healthcare Research and Quality (AHRQ) Prevention Quality Indicators (PQIs) represent one such tool. Local, State, or national data collected using the PQIs can flag potential problems resulting from a breakdown of health care services by tracking hospitalizations for conditions that should be treatable on an outpatient basis, or that could be less severe if treated early and appropriately. The PQIs represent the current state of the art in measuring the outcomes of preventive and outpatient care through analysis of inpatient discharge data.

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Policy Briefs
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Agency for Healthcare Research and Quality
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Paul A. Heidenreich
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Many health plans apply evidence-based approaches to coverage decisions. The foundation of such approaches is the systematic review of information about the effectiveness of medical interventions. This paper discusses the principles underlying evidence-based coverage policy and how they are applied by two major programs: the Technology Evaluation Center of the Blue Cross Blue Shield Association and the Medicare Coverage Advisory Committee. Although such policies likely have limited effects on spending, they can help to direct medical resources toward effective care.

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Health Affairs
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In response to a mail survey, 225 leading general internists provided their opinions of the relative importance to patients of thirty medical innovations. They also provided information about themselves and their practices. Their responses yielded a mean score and a variability score for each innovation. Mean scores were significantly higher for innovations in procedures than in medications and for innovations to treat cardiovascular disease than for those to treat other diseases. The rankings were similar across subgroups of respondents, but the evaluations of a few innovations were significantly related to physicians' age. The greatest variability in response was usually related to the physician's patient mix.

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Health Affairs
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