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  Health Insurance/Access to Care

Alternative OrderingPhone: 1-800-358-9295; Outside of the United States: 703-437-2078; TTY/TDD: 1-888-586-6340
Mail: AHRQ Publications Clearinghouse, P.O. Box 8547, Silver Spring, MD 20907-8547
 
  CMS's Landmark Decision on CT Colonography -- Examining the Relevant Data AHRQ 09-R075
S. Dhruva, S. Phurrough, M. Salive, et al., New England Journal of Medicine, 360(26):June 2009, 2699-2701. Discusses the decision by the Centers for Medicare & Medicaid Services to deny coverage of computed tomographic colonography for cancer screening, based on the lack of evidence, and examines the ramifications of this decision for national coverage decisions. (AHRQ 09-R075)  
 
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  Changes in Hospital Readmissions for Diabetes-Related Conditions: Differences by Payer. AHRQ 09-R013
H. Jiang, B. Friedman, R. Andrews, Managed Care Interface, 21(1):July 2008, 24-30. Examines changes in hospital readmissions for diabetes-related conditions in light of evidence showing improvements in the quality of diabetes care in the United States. Includes adult, nonmaternal patients covered by private, Medicare, or Medicaid insurance who were hospitalized for diabetes-related conditions in six States between 1999 and 2003.  
 
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  Characteristics of Employers Offering Dental Coverage in the United States AHRQ 10-R077
R. Manski, P. Cooper, Journal of the American Dental Association, June 2010; 141(6):700-711. Describes the current market for dental benefit offerings by employers, including the number and percentage of establishments that offer dental care coverage.  
 
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  Connecting Those at Risk to Care: A Guide to Building a Community "HUB" to Promote a System of Collaboration, Accountability, and Improved Outcomes AHRQ 09(10)-0088
Agency for Healthcare Research and Quality, September 2010, 88 pp. Provides guidance to help improve the system by which at-risk individuals within a community are identified and connected to appropriate health care and social services.  
 
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  Demographic and Clinical Variations in Health Status. AHRQ 05-0022
J. Fleishman, MEPS Methodology Report, 14:January 2005, 10 pp. Using nationally representative data from the Medical Expenditure Panel Survey, summarizes population differences using two generic measures, the SF-12 and the EuroQol.  
 
Product Cost:  $0.00   EACH
 
  Diffusion of New Technology and Payment Policies: Coronary Stents. AHRQ 09-R012
C. Shih, E. Berliner, Health Affairs, 27(6):November/December 2008, 1566-1576. Discusses the role of Medicare payment as a driver of medical technology diffusion and access to new technologies, using the case of coronary stents as an example.  
 
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  Do Medicare Advantage Enrollees Tend to Be Admitted to Hospitals with Better or Worse Outcomes Compared with Fee-for-Service Enrollees? AHRQ 10-R042
B. Friedman, H. Jiang, International Journal of Health Care Finance and Economics, February 2010; 10(2):171-185. Discusses the effects of enrollment in a Medicare Advantage plan on choice of hospital for Medicare beneficiaries, taking into account attributes of the plan and the tradeoffs of consumer preferences for annual premium vs. outcomes of care in the hospital.  
 
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  Effects of Immigration on the Health Insurance Status of Natives AHRQ 10-R007
Y. Pylypchuk, Journal of Health Economics, 28:June 2009, 1028-1037. Estimates the effects of immigration on employers' decisions to offer health benefits and natives' probability of having private coverage and being uninsured. (AHRQ 10-R007)  
 
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  Families with Mixed Eligibility for Public Coverage: Navigating Medicaid, CHIP, and Uninsurance AHRQ 09-R074
J. Hudson, Health Affairs, e-pub:June 2009, w697-w709. Discusses the role that Medicaid and the Children's Health Insurance Program (CHIP) play in the high uninsurance rates that are prevalent among eligible children in families where children are eligible for different programs. (AHRQ 09-R074)  
 
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  Health Care in Urban and Rural Areas, 1998-2000. AHRQ 04-0050
S. Larson, S. Machlin, A. Nixon, et al., MEPS Chartbook No. 13, July 2004, 39 pp. Presents Medical Expenditure Panel Survey data on health care in urban and rural areas for the period 1998-2000. Examines differences in health care access, use, and expenses from U.S. counties that were classified into four groups along the urban-rural continuum from metropolitan statistical areas to rural areas.  
 
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  Health Insurance Coverage During a 24-month period: A Comparison of Estimates From Two National Health Surveys AHRQ 08-R029
S. Cohen, D. Makuc, T. Ezzati-Rice, Health Services and Outcomes Research Methodology, 7:2007, 125-144. Compares national estimates of health insurance coverage over generally comparable 24-month time periods using two integrated Federal health-related surveys, the Medical Expenditure Panel Survey and the National Health Interview Survey.  
 
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  Health Insurance Enrollment Decisions: Preferences for Coverage, Worker Sorting, and Insurance Take Up. AHRQ 09-R008
A. Monheit, J. Vistnes, Inquiry, 45:Summer 2008, 153-167. Examines decisions by single workers to seek out and enroll in employer-sponsored health insurance plans.  
 
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  Impact of Increased Tax Subsidies on the Insurance Coverage of Self-Employed Families: Evidence from the 1996-2004 Medical Expenditure Panel Survey AHRQ 09-R023
T. Selden, Journal of Human Resources, 44(1): Winter 2009, 115-139. Using data from the Medical Expenditure Panel Survey, shows effects of tax subsidies on the expansion of health insurance coverage among self-employed families during the period 1996-2004.  
 
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  Monitoring the Health Care Safety Net. Agency for Healthcare Research and Quality and Health Resources and Services Administration (HRSA), September 2003. Brings together 118 measures, largely from 1999, at the city, county, AHRQ 04-0037
The brochure, Developing Data-Driven Capabilities to Support Policymaking, provides a framework for State policymakers to define and access their safety nets. Brochure  
 
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  Monitoring the Health Care Safety Net: Book 1 Data for Metropolitan Areas. Book 2 Data for States and Counties. AHRQ03-0026
Monitoring the Health Care Safety Net Book I: A Data Book for Metropolitan Areas presents data that describe the health care safety net in the places where 75 percent of the total American population lives and where 80 percent of Americans with family incomes below the Federal poverty line live. Monitoring the Health Care Safety NetBook II: A Data Book for States and Counties shows data from all 1,818 counties in these States, including both metropolitan and nonmetropolitan counties. A Web-based Safety Net Profile Tool (available at http://www.ahrq.gov/data/safetynet/) provides electronic access to the data and can be used to generate easy-to-use reports on geographic areas covered in these two books. Books I, II, and CD  
 
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  Monitoring the Health Care Safety Net: Book III Tools for Monitoring the Health Care Safety Net. AHRQ03-0027
The companion book, Monitoring the Health Care Safety Net Book III: Tools for Monitoring the Health Care Safety Net, offers strategies and concrete tools for assessing local health care safety nets.  
 
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  Partially Identifying Treatment Effects with an Application to Covering the Uninsured AHRQ 09-R058
B. Kreider, S. Hill, Journal of Human Resources 44(2):Spring 2009, 409-449. Uses analytical tools and results to describe the impact of universal health insurance on provider visits and medical expenditures across the nonelderly population.  
 
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  Pathways to Coverage: The Changing Roles of Public and Private Sources AHRQ 08-R033
J. Vistnes, B. Schone, Health Affairs, 27(1):January/February 2008, 44-57. Analyzes the growing trend of families' obtaining insurance in patchwork fashion from both private and public sources.  
 
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  Payer Perspectives on Pharmacogenomics Testing and Drug Development AHRQ 09-R034
R. Epstein, F. Frueh, D. Geren, et al., Pharmacogenomics 10(1):January 2009, 149-151. Presents the results of a workshop held to elicit the opinions of health plan, government, and employer representatives on important considerations for study design around coverage determination.  
 
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  Poor People, Poor Places and Access to Health Care in the United States AHRQ 09-R047
J. Kirby, Social Forces 87(1):September 2008, 325-355. Describes the negative relationship that exists between the prevalence of poverty in communities and access to health care and discusses the effects of this relationship on individuals at various income levels.  
 
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  Serving the Uninsured: Safety-Net Hospitals, 2003. AHRQ 07-0006
R. Andrews, D. Stull, I. Fraser, et al., HCUP Fact Book No. 8, January 2007, 34 pp. Presents data on hospitals that treat a disproportionately large share of uninsured patients, including both financial status and structural and geographic characteristics of these "safety-net" hospitals as well as clinical characteristics of the patients they serve.  
 
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  State Differences in Employer-Sponsored Health Insurance, 2003. AHRQ 06-0030
J. Branscome, B. Crimmel, MEPS Chartbook No. 15, May 2006, 25 pp. Presents State estimates from the 2003 Medical Expenditure Panel Survey Insurance Component. Examines workers' access to job-related health insurance and their enrollment rates, and examines State differences in the cost of that insurance, both to the employer offering coverage and to the worker taking coverage.  
 
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  The Accuracy of Reported Insurance Status in the MEPS AHRQ 08-R051
S. Hill, Inquiry, 44:Winter 2007/2008, 443-468. Uses four sources of validation data, including surveys of employers and providers, to assess the quality of respondents? reports of private insurance and uninsurance in the Medical Expenditure Panel Survey Household Component (MEPS-HC).  
 
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  The Utility of Prediction Models to Oversample the Long-Term Uninsured AHRQ 09-R029
S. Cohen, W. Yu, Medical Care 47(1):January 2009, 80-87. Evaluates the performance of prediction models in identifying the long-term uninsured and their usefulness for oversampling purposes in national health care surveys.  
 
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  Value-Based Insurance Design in Medicare AHRQ 10-R025
W. Encinosa, Applied Health Economics and Health Policy, 2009; 7(3):149-154. Discusses the financial implications of value-based insurance design for the Medicare program, as well as its benefits in terms of improved outcomes and hospitalizations avoided.  
 
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