TAILIEUCHUNG - Medical Care Economic Risk Measuring Financial Vulnerability from Spending on Medical Care

The United States has seen major advances in medical care over the past decades, but access to care at an affordable cost is not universal. Many Americans lack health care insurance of any kind, and many others with insurance are nonetheless exposed to financial risk because of high premiums, deductibles, co-pays, limits on insurance payments, and uncovered services. One might expect that the . poverty measure would capture these financial effects and trends in them over time. Yet the current official poverty measure developed in the early 1960s does not take into account significant increases and variations in medical care costs, insurance coverage, out-of-pocket spending, and the. | Medical Care Economic Risk Measuring Financial Vulnerability from Spending on Medical Care Panel on Measuring Medical Care Risk in Conjunction with the New Supplemental Income Poverty Measure Michael J. O Grady and Gooloo S. Wunderlich Editors Committee on National Statistics Division of Behavioral and Social Sciences and Education and Board on Health Care Services Institute of Medicine NATIONAL RESEARCH COUNCIL AND INSTITUTE OF MEDICINE OF THE NATIONAL ACADEMIES THE NATIONAL ACADEMIES PRESS Washington . THE NATIONAL ACADEMIES PRESS 500 Fifth Street NW Washington DC 20001 NOTICE The project that is the subject of this report was approved by the Governing Board of the National Research Council whose members are drawn from the councils of the National Academy of Sciences the National Academy of Engineering and the Institute of Medicine. The members of the committee responsible for the report were chosen for their special competences and with regard for appropriate balance. This study was supported by Contract Grant No. HHSP23320042509XI TO 39 between the National Academy of Sciences and the . Department of Health and Human Services Office of the Assistant Secretary for Planning and Evaluation. Support for the work of the Committee on National Statistics is provided by a consortium of federal agencies through a grant from the National Science Foundation award number SES-1024012 . Any opinions findings conclusions or recommendations expressed in this publication are those of the author s and do not necessarily reflect the views of the organizations or agencies that provided support for the project. International Standard Book Number 978-0-309-26604-8 Additional copies of this report are available from the National Academies Press 500 Fifth Street NW Keck 360 Washington Dc 20001 800 624-6242 or 202 334-3313 http . Copyright 2012 by the National Academy of Sciences. All rights reserved. Printed in the United States of America Suggested .

• Quản trị kinh doanh
• Medical Care Economic
• Concepts of Resources
• Implementation Issues
• Conceptual Framework
• Incorporating Data
• Managed Care
• Economic Reality
• Comprehensive Approach
• Economic Pressure
• Medical Waste
• appendaged thereunto
• Eclectic Medical
• distinguished Homeopathic
• Owner Cooperative
• Economic Feasibility
• Agroforestry System
• BMC Pediatrics
• Acute otitis media
• Major public health
• Brings economic burden
• Health care system
• Incorporating speech recognition confidence
• discriminative named entity recognition
• speech data
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Ion mobility
• Data alignment
• Biological samples
• High throughput quantitative proteomics
• Biological systems
• Impact of climate change
• Panel data
• Rice productivity
• Incorporating climatic variables
• Statistical analysis
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• Saccharomyces cerevisiae
• Protein protein interaction
• High throughput experimental techniques
• Mass spectrometry
• Drosophila melanogaster
• BMC Genomics
• CLIP seq
• Peak calling
• RBP binding site prediction
• RNA binding protein
• Cytoplasmically active RBPs
• BMC Bioinformatics
• Principal component analysis
• Structural information
• Genomic data
• Dimensionality reduction
• Pattern recognition
• Collaborative filtering
• Data mining
• Neighborhood based
• Recommendation system
• Online service providers