Quality of Services and Information

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 2.5 Disparities in Other Priority Conditions: Examples From Cardiovascular Care and Depression

The paucity of diabetes literature examining quality of care disparities based on individual factors other than race/ethnicity, and which also differentiate between midlife and older adults who have different health insurance coverage situations that could affect care, is similar for other priority conditions. This section briefly highlights the l

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 2.4 Disparities in Diabetes Quality of Care

Defining a Health Care Quality Measure Although many measures are available to assess quality of care, this report focuses on clinical performance measures. Previous authors have defined clinical performance measures as

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 2.3 Disparities in Diabetes Complications

Diabetes can lead to serious complications, including blindness, cardiovascular disease, kidney damage and lower-limb amputations, although proper management and quality care can reduce the risk of complications (CDC 2007a). The majority of disparities literature on diabetes complications focuses on race and ethnicity differences and pays less att

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 2.2 Disparities in Diabetes Prevalence Rates

Diabetes, a priority condition in the U.S., is a group of diseases characterized by high blood glucose levels, resulting from defects in insulin secretion or action (Centers for Disease Control and Prevention [CDC] 2007a). It is the sixth leading cause of death in the U.S., and incurs annual medical costs of over $100 billion (Agency for Healthcar

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 2.1 Conceptual Framework

Figure 1 presents the overarching conceptual model for understanding disparities in quality of care. This model is designed specifically to reflect a multilevel approach, documenting individual and system-wide factors that may contribute to quality of care along domains delineated by the IOM. The IOM has defined six qualities of care domains: safe

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 2.0 Conceptual Framework and Literature Review: Disparities in Diabetes and Other Priority Conditions

Racial/ethnic disparities in health outcomes exist among midlife and older adults. These include disparities in mortality and quality of care associated with diabetes, cardiovascular disease and other chronic conditions (Gee and Payne-Sturges 2004; U.S. Department of Health and Human Services [HHS] 2000). While it is not always clear why dispariti

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 1.0 Introduction

In 2011, the first of the post-World War II "baby boom"; generation will reach age 65 and become eligible for Medicare. The cost implications of the entry of baby boomers into Medicare have been widely discussed (Keehan et al 2008) but less attention has been paid to the implications for health care quality. The health insurance characteristics of

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). Executive Summary

In 2011, the first of the post-World War II "baby boom"; generation will reach age 65 and become eligible for Medicare. The cost implications of the entry of baby boomers into Medicare have been widely discussed, but less attention has been paid to the implications for health care quality. This report discusses disparities in care of baby boom pat

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65)

Prepared under Contract from the Agency for Healthcare Research and Quality and the Office of the Assistant Secretary for Planning and Evaluation Purchase Order HHSP233200800278A Judy Ng, PhD Sarah Hudson Scholle, MPH, DrPH National Committee for Quality Assurance Washington, DC ABSTRACT

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Did They or Didn't They?: A Brief Review of Service Delivery Verification in MLTSS

From: Did They or Didn't They?: A Brief Review of Service Delivery Verification in MLTSS

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The Importance of Quality Implementation for Research, Practice, and Policy

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Key Implementation Considerations for Executing Evidence-Based Programs: Project Overview

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Core Intervention Components: Identifying and Operationalizing What Makes Programs Work

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An Environmental Scan of Pay for Performance in the Hospital Setting: Final Report. References

Asch SM, Kerr EA, Keesey J, Adams JL, Setodji CM, Malik S, McGlynn EA. (2006) Who Is at Greatest Risk for Receiving Poor-Quality Health Care? New England Journal of Medicine 354(11):1147–1156. Asch B, Warner J. (1996) Incentive Systems: Theory and Evidence. In Lewin D, Mitchell D, Zaidi M (eds), The Human Resource Management Handbook , Part

An Environmental Scan of Pay for Performance in the Hospital Setting: Final Report. Other Organizations

Cypress Healthcare Kansas Department of Health and Environment, Office of Local and Rural Health Health Resources and Services Administration, Office of Rural Health Policy National Rural Health Association Stratis Health (Minnesota QIO) Stroudwater Associates Upper Midwest Rural Health Research Center

An Environmental Scan of Pay for Performance in the Hospital Setting: Final Report. Data Vendors

Hospital Corporation of America Illinois Hospital Association Maryland Hospital Association Premier Health System Quantros Thomson Healthcare

An Environmental Scan of Pay for Performance in the Hospital Setting: Final Report. Hospital Associations

American Hospital Association Association of American Medical Colleges Catholic Health Association Federation of American Hospitals National Association of Children’s Hospitals & Related Institutions North Carolina Hospital Association South Dakota Hospital Association Voluntary Hospital Association

An Environmental Scan of Pay for Performance in the Hospital Setting: Final Report. Hospitals and Health Systems

Amsterdam Memorial Hospital, Amsterdam, NY Baptist Health System of East TN, Knoxville, TN Bleckley Memorial Hospital, Cochran, GA Crenshaw Community Hospital, Luverne, AL Fairchild Medical Center, Yreka, CA Foote Memorial Hospital, Jackson, MI Franklin Medical Center, Greenfield, MA Geisinger Health System, Danville, PA Hacken

An Environmental Scan of Pay for Performance in the Hospital Setting: Final Report. Hospital P4P and Public Reporting Program Sponsors

Anthem, National office Anthem, VA Blue Cross Blue Shield, HI Blue Cross Blue Shield, IL Blue Cross Blue Shield, MA Blue Cross Blue Shield, MI Blue Shield, Northeastern NY The Employer Healthcare Alliance Cooperative (“The Alliance”) Employers’ Coalition on Health Excellus/Univera Fallon Community Health Plan Harvar

An Environmental Scan of Pay for Performance in the Hospital Setting: Final Report. Appendix D: List of Organizations Participating in the Environmental Scan

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