Medical Expenditure Panel Survey SURVEY OVERVIEW.

Slides:



Advertisements
Similar presentations
ARK is a resource dedicated to making social and political information on Northern Ireland available to all.
Advertisements

The Impact of Survey Design Modifications on Health Care Utilization Estimates in a National Longitudinal Health Care Survey Steven B. Cohen, Ph.D. Trena.
Proxy Pattern-Mixture Analysis of Missing Health Expenditure Variables in the Medical Expenditure Panel Survey Proxy Pattern-Mixture Analysis of Missing.
The Early Release Program of the National Health Interview Survey Jeannine Schiller, M.P.H., Jane F. Gentleman, Ph.D., Eve Powell-Griner, Ph.D. National.
An Assessment of the Impact of Two Distinct Survey Design Modifications on Health Insurance Coverage Estimates in a National Health Care Survey Steven.
U.S. Department of Commerce Economics and Statistics Administration U.S. CENSUS BUREAU Income, Poverty, and Health Insurance Coverage: 2009 September 2010.
National Center for Health Statistics DCC CENTERS FOR DISEASE CONTROL AND PREVENTION Changes in Race Differentials: The Impact of the New OMB Standards.
Community Needs Assessment For the San Fernando and Santa Clarita Valleys.
Medical Expenditure Panel Survey Karen Beauregard Steve Machlin Jeffrey Rhoades.
Using the MEPS-HC For State-Level Estimates of High Financial Burden Presented at National Conference on Health Statistics, Washington, August 17, 2010.
The rich multivariate data of the National Center for Health Statistics’ National Health Interview Survey Jane F. Gentleman, Ph.D., Director Division of.
Labor Statistics in the United States Grace York March 2004.
Exploring the Washington Group Data from the 2011 U.S. National Health Interview Survey Julie D. Weeks, Ph.D. National Center for Health Statistics, USA.
The Medical Expenditure Panel Survey: Data Resources to Inform Research & Policy Jeffrey Rhoades, Ph.D.
1 Health Status and The Retirement Decision Among the Early-Retirement-Age Population Shailesh Bhandari Economist Labor Force Statistics Branch Housing.
The Role of Consumer Knowledge on the Demand for Preventive Health Care Among the Elderly Stephen T. Parente, Ph.D., Project HOPE Center for Health Affairs.
Agency for Healthcare Research and Quality Advancing Excellence in Health Care Trends in the.
Aspects of the National Health Interview Survey (NHIS) Chris Moriarity National Conference on Health Statistics August 16, 2010
18 September Health Plan Actuarial Value Variation Among Employers Actuarial Research Corporation Sarah Yi Jim Mays Middle Atlantic Actuarial Club.
Robin A. Cohen, PhD National Center for Health Statistics National Conference on Health Statistics August 7, 2012 Financial burden of medical care: Looking.
Major Areas of Health Research Topics Using MEPS Data Access Access Use Use Expenditures Expenditures Health insurance Health insurance Health status and.
The Labour Force Survey Process- The Jamaican Experience CARICOM 2 nd High Level Advocacy Forum on Statistics Presented by: Carol Coy The Statistical Institute.
Liesl Eathington Iowa Community Indicators Program Iowa State University October 2014.
Using AHRQ Data at Census RDC’s Health Data Workshop May 6, 2009 Doris Lefkowitz.
Chart 7.1: U.S. Population Trends and Projections by Age, 1980 – 2060 (1) Source: U.S. Department of Commerce, Bureau of the Census. Projections of the.
Jacqueline Wilson Lucas, B.A., MPH Renee Gindi, Ph.D. Division of Health Interview Statistics Presented at the 2012 National Conference on Health Statistics.
Integrated Health Care Survey Designs: Analytical Enhancements Achieved Through Linkage of Surveys and Administrative Data 2008 European Conference on.
2006 ICE meeting Using Linked Data to Examine Injury and Disability Beth Rasch and Chris Cox National Center for Health Statistics.
Burden and Loss: The Role of Panel Survey Recordkeeping in Self-report Quality and Nonresponse ITSEW 2010 Ryan Hubbard and Brad Edwards.
The 2006 National Health Interview Survey (NHIS) Paradata File: Overview And Applications Beth L. Taylor 2008 NCHS Data User’s Conference August 13 th,
Community Health Needs Assessment Introduction and Overview Berwood Yost Franklin & Marshall College.
Health Insurance Decision Tools for States Steven B. Cohen, Ph.D. Agency for Healthcare Research and Quality.
Eve Powell-Griner, PhD National Center for Health Statistics Centers for Disease Control and Prevention National Center for Health Statistics Overview.
DIABETES National Healthcare Quality and Disparities Report Chartbook on Effective Treatment.
Data Used to Model Health Reform: The Health Benefits Simulation Model (HBSM) Presented to: 2009 APDU Annual Conference by: John Sheils, Vice President.
Overview of the National Health Interview Survey Jane F. Gentleman, Ph.D. U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and.
1 Overview of the National Long Term Care Survey (NLTCS) Conference on Chinese Healthy Aging and Socioeconomic Development Durham, NC August, 2004 Nicholas.
Panel Study of Entrepreneurial Dynamics Richard Curtin University of Michigan.
Robin A. Cohen, PhD National Center for Health Statistics National Conference on Health Statistics August 6, 2012 Analytic Uses of National Health Interview.
MEPS WORKSHOP Household Component Survey Estimation Issues Household Component Survey Estimation Issues Steve Machlin, Agency for Healthcare Research and.
Differences in Access to Care for Asian and White Adults Merrile Sing, Ph.D. September 8, 2008.
Health, United States: History, Uses, and Future Directions Health, US Over the Years: Diane Makuc Health, US in the 21 st Century: Amy Bernstein Media.
Building Wave Response Rates in a Longitudinal Survey: Essential for Nonsampling Error Reduction or Last In - First Out? Steven B. Cohen Fred Rohde and.
Prescription Drug Expenditures and Healthcare Burdens in the Medicaid Population G. Edward Miller, Jessica S. Banthin and Thomas M Selden AHRQ Conference.
VerdierView Graph # 1 OVERVIEW Problems With State-Level Estimates in National Surveys of the Uninsured Statistically Enhancing the Current Population.
Analytical Tools Summary Data Tables Summary Data Tables MEPSnet Query Tools MEPSnet Query Tools.
RESEARCH DATA CENTER Types of Data. Major NCHS Surveys and Data Systems National Health and Nutrition Examination Survey (NHANES) National Health Interview.
Interviewer Effects on Paradata Predictors of Nonresponse Rachael Walsh, US Census Bureau James Dahlhamer, NCHS European Survey Research Association, 2015.
Does Inclusion of Both Partial and Complete Interviews from the Source Sampling Frame Have an Effect on Nonresponse Error and Measurement Error in a National.
Medical Expenditure Panel Survey (MEPS), Health Care Expenditures for the Elderly with Chronic Conditions in 2012 Jeffrey Rhoades.
Determinants of Preventive Health Behaviors and Prospects for Incentivization Claire Williams December 1, 2009.
National Health Interview Survey Early Release Program: Overview and Key Health Indicators Report Jeannine S. Schiller, M.P.H. Division of Health Interview.
U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention National Center for Health Statistics Improving Estimates of the.
Clifford Johnson, Director U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention National Center for Health Statistics.
2012 National Conference on Health Statistics Jacqueline Wilson Lucas, B.A., M.P.H., National Center for Health Statistics Division of Health Interview.
Using Data from the National Survey of Children with Special Health Care Needs Centers for Disease Control and Prevention National Center for Health Statistics.
Local Data Collection Strategies for Safety Net Assessment Joel C. Cantor, Sc.D.
The State and Local Area Integrated Telephone Survey Marcie Cynamon Chief, Survey Planning and Special Surveys Branch National Center for Health Statistics.
Medical Expenditure Panel Survey HEALTH INSURANCE DATA.
Utility of an overlapping panel design in the MEPS Steven B. Cohen, Ph.D.
Out of Pocket Burdens for Health Care: Insured, Uninsured, and Underinsured Jessica Banthin, Ph.D. September 23, 2008.
Medical Expenditure Panel Survey Karen Beauregard Steve Machlin Jeffrey Rhoades Anita Soni.
The National Health Interview Survey: Celebrating 50 years of success
Medical Expenditure Panel Survey
Haksoon Ahn, PhD Associate Professor
Haksoon Ahn, PhD Associate Professor
Lan Liang Center for Financing, Access & Cost Trends Cindy Brach
Chartbook Section 3 Employment-Based Health Insurance.
Telling Canada’s story in numbers Marie-Josée Major
Presentation transcript:

Medical Expenditure Panel Survey SURVEY OVERVIEW

MEPS History 1977 National Medical Care Expenditure Survey 1977 National Medical Care Expenditure Survey 1987 National Medical Expenditure Survey 1987 National Medical Expenditure Survey 1996 Medical Expenditure Panel Survey 1996 Medical Expenditure Panel Survey

MEPS Survey Components The MEPS has two major components: MEPS-HC -- Household Component MEPS-HC -- Household Component MEPS-IC -- Insurance Component MEPS-IC -- Insurance Component

MEPS-HC Purpose & Uses Estimates annual health care use, expenditures and insurance coverage, and tracks changes in these over time Estimates annual health care use, expenditures and insurance coverage, and tracks changes in these over time Provides estimates of expenditures and sources of payment by selected demographic variables Provides estimates of expenditures and sources of payment by selected demographic variables Used for policy-related and behavioral research on the determinants of health care use, spending, and insurance coverage Used for policy-related and behavioral research on the determinants of health care use, spending, and insurance coverage Used in micro simulation models to analyze alternative health care delivery proposals. Used in micro simulation models to analyze alternative health care delivery proposals.

MEPS-HC Survey Design Sub-sample of respondents from the previous year’s NHIS Sub-sample of respondents from the previous year’s NHIS Representative of the civilian non- institutionalized population of the US Representative of the civilian non- institutionalized population of the US Five in-person interviews over 2 ½ year period using CAPI. Five in-person interviews over 2 ½ year period using CAPI. Interviews average 90 minutes with a range of one to four hours Interviews average 90 minutes with a range of one to four hours

MEPS-HC Survey Design -- Oversampling Oversampling improves the precision of estimates for specific subgroups Blacks and Hispanics have been oversampled every year with an additional over sampling of blacks in 2004 Low income and Asians oversampled in 2002 and beyond

MEPS-HC Sample Sizes Year FamiliesPersons ,655 21, ,087 32, ,023 22, ,354 23, ,515 23, ,852 32, ,828 37, ,860 32, ,018 32, ,810 32,320

MEPS Panel Design: Data Reference Periods Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4 Panel 8 Round 3 Round 3 Round 4 Round 4 Round 5 Round 5 Panel 9 Round 1 Round 1 Round 2 Round 2 Round 3 Round 3 Round 4 Round 4 Round 5 Round 5 Panel 10 Round 1 Round 1 Round 2 Round 2 Round 3 Round 3 Round 4 Round 4 Round 5 Round 5 Panel 11 Round 1 Round 1 Round 2 Round 2 Round 3 Round 3 Sample Size Sample Size N = 32,737 N = 32,320 N = 32,577 N is equal to the number of people with a positive person weight on the file.

MEPS-HC Core Interview Content Demographics Demographics Charges and Payments Charges and Payments Health Status Health Status Conditions Conditions Utilization Utilization Employment Employment Health Insurance Health Insurance

MEPS- HC Supplemental CAPI Sections Sections asked in rounds 2 and 4: Access to care Access to care Child preventive health Child preventive health Satisfaction with health plans & providers Satisfaction with health plans & providers Sections asked in rounds 3 and 5: Assets (round 5 only) Assets (round 5 only) Income Income Preventive Care Preventive Care Priority conditions Priority conditions

MEPS-HC Supplemental Paper Questionnaires Diabetes Care SAQ Diabetes Care SAQ Given once a year to each person identified as having diabetes Given once a year to each person identified as having diabetes Includes questions about diabetes related tests and managing diabetes Includes questions about diabetes related tests and managing diabetes Adult SAQ Adult SAQ Given once a year to each adult 18 years old and older Given once a year to each adult 18 years old and older Focus is on information that needs to be self reported such as self assessments, height/weight, opinions about health care issues and quality of care measures Focus is on information that needs to be self reported such as self assessments, height/weight, opinions about health care issues and quality of care measures

Types of MEPS-HC Files Full-year Files - calendar year data Full-year Files - calendar year data Point-in-time Files - snap shot first part of year Point-in-time Files - snap shot first part of year MEPS/NHIS Link File MEPS/NHIS Link File Longitudinal Data File Longitudinal Data File MEPS HC-036: Pooled Estimation File MEPS HC-036: Pooled Estimation File

Levels of MEPS-HC Public Use Files Person Level - detailed person information Person Level - detailed person information Event Level - detailed event level information Event Level - detailed event level information Condition Level - detailed condition information Condition Level - detailed condition information Job Level - detailed job information Job Level - detailed job information

MEPS-HC Caveats and Limitations Sample size limitations preclude some analyses Sample size limitations preclude some analyses Typically, one respondent provides data for the entire household Typically, one respondent provides data for the entire household Household respondents may not be able to report accurately certain types of information Household respondents may not be able to report accurately certain types of information – type of health plan – detailed event information – diagnoses

MEPS-IC (Insurance Component) An independent survey of employers and unions not linked to the household survey An independent survey of employers and unions not linked to the household survey The sample contains information from about 45,000 establishments and supports national and state-level estimates for all 50 states. The sample contains information from about 45,000 establishments and supports national and state-level estimates for all 50 states. Employer-sponsored health insurance measures: Employer-sponsored health insurance measures: – Availability – Enrollment – Benefit and payment provisions – Cost

MEPS Publications Statistical Briefs: Easy-to-read, concise graphical summaries of MEPS data Statistical Briefs: Easy-to-read, concise graphical summaries of MEPS data Research Findings and Highlights: Tables and summaries of descriptive statistics Research Findings and Highlights: Tables and summaries of descriptive statistics Methodology Reports: Detailed information on MEPS sample design and survey methods Methodology Reports: Detailed information on MEPS sample design and survey methods Chartbooks: Policy-sensitive topics in an accessible question-and-answer format Chartbooks: Policy-sensitive topics in an accessible question-and-answer format Working Papers: Preliminary analyses of methodological and technical issues by AHRQ staff Working Papers: Preliminary analyses of methodological and technical issues by AHRQ staff Research in Action: Analyses using research results from AHRQ-sponsored studies, including MEPS data Research in Action: Analyses using research results from AHRQ-sponsored studies, including MEPS data

AHRQ Data Center (ADC) Provides researchers access to non- public use MEPS data (except directly identifiable information); Provides researchers access to non- public use MEPS data (except directly identifiable information); Mode of data analysis Mode of data analysis – on secure LAN at AHRQ – task order agreement with data contractor – combinations of both

Examples of Confidential Data Available for ADC Projects Linked MEPS-HC and Secondary Data Linked MEPS-HC and Secondary Data Full geo-coding for 1996, 1997 and FIPS codes for other years Full geo-coding for 1996, 1997 and FIPS codes for other years Fully specified industry/occupation and condition codes Fully specified industry/occupation and condition codes Selected State and MSA identifiers and estimation variables Selected State and MSA identifiers and estimation variables – 30 largest states and 10 largest MSAs