A process is underway to help shape the Nations health statistics system for the 21st century. The process is identifying forces (such as changing health and health care, information and communications technologies, and public policies) that will need to be tracked, and to which the health statistics system must respond. The process will formulate a vision for the Nations health statistics system which is responsive to emergent, urgent, and ongoing data needs.
Key participants in this process include the National Committee on Vital and Health Statistics, the National Center for Health Statistics, the Department of Health and Human Services Data Council, and the National Academy of Sciences Committee on National Statistics and Institute of Medicine. Components of the process include commissioned papers, expert discussion groups, an NAS workshop, and consultative process to obtain public and professional feedback through such means as forums at professional association meetings, NCVHS public hearings, visits to States, and feedback solicited on the NCVHS web site.
Goal 1: Develop a vision of the health statistics system for the 21st Century. This will:
Process Objectives
1A: identify major future trends in health, health care, technology, demographics, and social policy, and statistical methodology that will help determine needed characteristics and components of 21st century health statistics system
1B: document and articulate a clear statement of the role health statistics can play in addressing these major health issues
1C: build a literature that defines the field of health statistics, describes its importance, and documents its unique contributions to health care and health policy making, program development, and research
1D: build consensus on key health statistics system issues and data gaps that need to be addressed in building the 21st century health statistics system
Goal 2: Describe and define the disciplines, components, resources, and other elements that are needed to implement this vision.
Process Objectives
2A: identify the desirable characteristics of the field of health statistics and the health statistics system, and how these characteristics can be operationalized
2B: develop an identity and purpose for the field of health statistics, and an easy way to explain this to others
2C: place the field of health statistics within the context of related fields, such as public health surveillance, health services research, epidemiology, and biomedical research
Goal 3: Set forth a clear set of criteria and a process for evaluating the health statistics system and its individual components, now and in the 21st Century.
3A: develop a set criteria for evaluating the extent to which the health statistics system achieves the vision described above, now and in the 21st century
3B: establish an ongoing process of communication between users and producers of health statistics to provide feedback on needs and uses, to aid learning by health statistics producers and users, and to help assure that health statistics are used to their maximum advantage for policy making, program development, and research
3C: connect users and producers, and broaden the base of those that are involved in and care about health statistics
3D: institute channels and mechanisms for ongoing advisory input on the 21st century health statistics system, including its purposes, priorities, characteristics, and components
3E: establish ongoing mechanisms for addressing the relationship and potential synergy between public and private health data sets, and national, state, and locally maintained data, including approaches to standards, common conventions, etc.

Objective: To build a body of literature that identifies key issues in building the 21st century health statistics system, with case examples and international comparisons
Papers in process:
Selected National Health Data Systems: A Background Paper for Planning the Future of Health Statistics in the United States, by Jennifer Zelmer et al, Canadian Institute for Health Information. This paper will provide a comparative overview of how different countries organize their health statistics systems. The focus will be on a sample of major industrialized countries other than the United States, including Canada, Australia, and the United Kingdom. The paper will identify common models, trends, and future directions in the evolution of the vision for and management of national health statistics in these countries.
From National Health Statistics to Health Information Systems: A Model for the 21st Century, by Charlyn Black et al, University of Manitoba.. This paper will discuss key assumptions and critical components of a health information system; outline the importance of being able to make links across key areas and to examine various types and levels of investment in medical care for different populations; describe the Manitoba experience with developing, implementing and expanding the POPULIS System, and discuss possibilities of developing these types of health information systems in the future.
Health Statistics Needs for Children, by Lorraine Klerman, University of Alabama at Birmingham. This paper will review the history of the State-Childrens Health Insurance Program (S-CHIP) to determine what role health statistics data played in indicating a need for S-CHIP and the development of its provisions; describe the health statistics data that policy makers at the state and federal levels believe will be essential to demonstrate the impact of S-CHIP; and explore the need for additional health statistics data about the health status of children and the services that children use, as perceived by leaders in the field.
Numbers We Need: Health Statistics and Health Policy, by Richard Kronick, University of California at San Diego. This paper will focus on the health statistics data needed for improving health policy, emphasizing: the financing and delivery of care to the uninsured, the extent to which public policy should encourage the growth of managed care, and mental health parity. This paper will also address two core questions: are the numbers we need for public policy best created by one or more ad hoc research efforts, or best created as part of an ongoing monitoring system?; and if we face a tradeoff of obtaining nationally representative numbers or obtaining numbers that more intensively track outcomes in a small number of communities, which approach is preferable?
Characteristics of a Robust and Useful Health Statistics System, by Daniel Melnick, Consultant. This paper will identify several subsystems of the national health statistics system that are generally regarded by their users as having responded successfully to diverse and changing data needs, such as the mortality statistics system and the National Health Interview Survey. The properties of those successful systems will be analyzed, and a general model for successful systems will be derived. System properties hypothesized to contribute to success include accuracy, timeliness, responsiveness to health policy concerns, and accessibility to potential users.
Paper to be developed:
Meta-Analysis of Previous Reviews and Recommendations for Health Statistics (working title)
Objectives
Two discussion groups of 9-15 persons (largely from States, local areas, academia, and the private and non-profit sector) have been convened, the first on March 9, 1999 and the second on May 10, 1999. In addition, discussion groups will be convened consisting of NCHS staff, and representatives of CDC Centers, Institutes, and Offices and other HHS agencies. Questions for group discussions included:
Objectives
The working session was convened March 29-30, consisting experts experts in health statistics, public health surveillance, and health services research.
Questions addressed at the working sessions included:
Objectives: Move towards consensus on
Objectives
Approaches:
First Discussion Group: March 9, 1999
Working Session: March 29-30, 1999
Second Discussion Group: May 10, 1999
Commissioned paper drafts
completed: August and September, 1999
NAS Workshop: November 4-5, 1999
Commissioned papers completed:December 17, 1999
NCVHS Hearing(s): Winter/Spring 1999
Presentations at professional
associations and states:Ongoing 1999-2000
NAPHSIS Annual MeetingJune 7, 1999
AHSR Annual MeetingJune 27-29, 1999
National Conference on
Health Statistics August 2-4, 1999
Daniel J. Friedman, Ph.D., Chair, 617-624-5613
Paul Newacheck, Dr.P.H.
Barbara Starfield, M.D., M.P.H.
David T. Takeuchi, Ph.D.
Gerry E. Hendershot, Ph.D., Lead Staff for Work Group, 301-436-7085
Ed Sondik, Director,301-436-7016
Lisa Broitman, Program Analyst, 301-436-7142
Marjorie Greenberg, Chief, Data Policy and Standards Staff, 301-436-4253
Ed Hunter, Associate Director for Planning, Budget, and Legislation, 301-436-7142
Rob Weinzimer, Chief, Data Dissemination Branch, DDS, 301-436-6154
National Academy of Sciences, Committee on National Statistics
Jane Durch, Workshop Lead, 202-334-2788
Jim Scanlon, Executive Secretary, 202-690-7100
Ross Arnett, AHCPR
Lisa Broitman, National Center for Health Statistics
Kathy Coltin, NCVHS and Harvard Pilgrim Health Care
Don Detmer, NCVHS and Univ. of Virginia
Jane Durch, National Academy of Sciences
Stan Edinger, AHCPR
Robert Epstein, Merck-Medco Managed Care, Inc.
Judy Feder, Institute for Health Care Research and Policy
William Friedewald, Metropolitan Life Insurance Company
Dan Friedman, NCVHS and Massachusetts Department of Public Health
Marsha Gold, Mathmatica Policy Research
Marjorie Greenberg, National Center for Health Statistics
Ed Hunter, National Center for Health Statistics
Larry Kessler, FDA
Nancy Krieger, Harvard School of Public Health
Laura Meckler, AP Wire Service
Dan Melnick, Dan Melnick Research Incorporated
Paul Newacheck, Institute for Health Policy Studies
Len Nichols, Urban Institute
Ellen OConnor, Washington Business Group on Health
John Oswald, Minnesota Center For Health Statistics
Jonathan Peck, Institute for Alternative Futures
Dorothy Rice, University of California
Linda Rosenstock, NIOSH
Jim Scanlon, ASPE
Ed Sondik, National Center for Health Statistics
Barbara Starfield, NCVHS and JHU School of Public Health
Miron Straf, National Academy of Sciences
SteveThacker, EPO
Thomas Thom, NHLBI
Kathy Wallman, OMB
Michael Wolfson, Statistics Canada
Don Young, American Association of Health Plans
Jennifer Zelmer, Canadian Institute for Health Information
Ross Arnett, AHCPR
Lisa Broitman, National Center for Health Statistics
Floyd Fowler, University of Massachusetts at Boston
Dan Friedman, NCVHS and Massachusetts Department of Public Health
Marjorie Greenberg, National Center for Health Statistics
Ed Hunter, National Center for Health Statistics
Lynn Jenkins, NIOSH
Denise Koo, EPO
Garland Land, Missouri State Department of Health
Dan Melnick, Research, Inc.
Janet Norwood
Gib Parrish, EPO
Mike Shwartz, Boston University School of Management
Ed Sondik, National Center for Health Statistics
Ed Spar, Council of Professional Associations on Federal Statistics
Barbara Starfield, NCVHS and JHU School of Public Health
Miron Straf, National Research Council
Jim Scanlon, ASPE
George Van Amburg