Literature DB >> 19536015

The medical expenditure panel survey: a national information resource to support healthcare cost research and inform policy and practice.

Joel W Cohen1, Steven B Cohen, Jessica S Banthin.   

Abstract

BACKGROUND: The Medical Expenditure Panel Survey (MEPS) collects detailed information regarding the use and payment for health care services from a nationally representative sample of Americans. The survey is designed to provide analysts with the data they need to support policy-relevant research on health care expenses, utilization, insurance coverage, and access in the United States and to provide policymakers with the results and data they need to make informed decisions.
OBJECTIVES: This article summarizes the capacity of this broad-based and publicly available information resource to support research efforts directed towards achieving a better understanding of the dynamics of American healthcare and to better characterize its current state.
METHODS: The MEPS comprises a nationally representative sample of the civilian noninstitutionalized population in the United States, and collects comprehensive data on individuals and their health care experiences over a span of 2 years. Household survey data are collected by means of computer-assisted personal interviews, and those data are supplemented by information collected directly from the medical providers used by survey participants. Insurance data are collected both from households and through a separate state and nationally representative survey of business establishments, which collects information on health insurance provided by United States employers.
RESULTS: The MEPS has been used extensively in scientific publications and published reports, as well as by the Federal and state governments to examine the delivery and financing of healthcare in the United States.
CONCLUSIONS: The analytical findings generated by the MEPS are key inputs to facilitate the development, implementation, and evaluation of policies and practices addressing health care in the United States and its related costs. Recent efforts to reconcile MEPS and the National Health Expenditure Accounts have the potential to provide an even more accurate and powerful data tool for research and policy analysis.

Entities:  

Mesh:

Year:  2009        PMID: 19536015     DOI: 10.1097/MLR.0b013e3181a23e3a

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  103 in total

1.  Comparison of hypothetical and experienced EQ-5D valuations: relative weights of the five dimensions.

Authors:  Kim Rand-Hendriksen; Liv Ariane Augestad; Ivar Sønbø Kristiansen; Knut Stavem
Journal:  Qual Life Res       Date:  2011-09-20       Impact factor: 4.147

2.  Heart disease and stroke statistics--2011 update: a report from the American Heart Association.

Authors:  Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Robert J Adams; Jarett D Berry; Todd M Brown; Mercedes R Carnethon; Shifan Dai; Giovanni de Simone; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Kurt J Greenlund; Susan M Hailpern; John A Heit; P Michael Ho; Virginia J Howard; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Diane M Makuc; Gregory M Marcus; Ariane Marelli; David B Matchar; Mary M McDermott; James B Meigs; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Wayne D Rosamond; Paul D Sorlie; Randall S Stafford; Tanya N Turan; Melanie B Turner; Nathan D Wong; Judith Wylie-Rosett
Journal:  Circulation       Date:  2010-12-15       Impact factor: 29.690

3.  Prescription Opioid Use and Satisfaction With Care Among Adults With Musculoskeletal Conditions.

Authors:  Brian D Sites; Jordon Harrison; Michael D Herrick; Melissa M Masaracchia; Michael L Beach; Matthew A Davis
Journal:  Ann Fam Med       Date:  2018-01       Impact factor: 5.166

4.  Using quantile regression to examine health care expenditures during the Great Recession.

Authors:  Jie Chen; Arturo Vargas-Bustamante; Karoline Mortensen; Stephen B Thomas
Journal:  Health Serv Res       Date:  2013-10-18       Impact factor: 3.402

5.  Budget impact and sustainability of medical care management for persons with serious mental illnesses.

Authors:  Benjamin G Druss; Silke A von Esenwein; Michael T Compton; Liping Zhao; Douglas L Leslie
Journal:  Am J Psychiatry       Date:  2011-06-15       Impact factor: 18.112

6.  Health care spending and utilization by race/ethnicity under the Affordable Care Act's dependent coverage expansion.

Authors:  Jie Chen; Arturo Vargas Bustamante; Sarah E Tom
Journal:  Am J Public Health       Date:  2015-04-23       Impact factor: 9.308

7.  Potentially inappropriate anticholinergic medication use in community-dwelling older adults: a national cross-sectional study.

Authors:  Nandita Kachru; Ryan M Carnahan; Michael L Johnson; Rajender R Aparasu
Journal:  Drugs Aging       Date:  2015-05       Impact factor: 3.923

8.  Ambulatory quality, special health care needs, and emergency department or hospital use for US children.

Authors:  Ryan J Coller; Michelle M Kelly; Daniel J Sklansky; Kristin A Shadman; Mary L Ehlenbach; Christina B Barreda; Paul J Chung; Qianqian Zhao; Marshall Bruce Edmonson
Journal:  Health Serv Res       Date:  2020-06-27       Impact factor: 3.402

Review 9.  Promoting equity at the population level: Putting the foundational principles into practice through disability advocacy.

Authors:  Jagriti 'Jackie' Bhattarai; Jacob Bentley; Whitney Morean; Stephen T Wegener; Keshia M Pollack Porter
Journal:  Rehabil Psychol       Date:  2020-04-16

10.  Live birth, miscarriage, and abortion among U.S. women with and without disabilities.

Authors:  Willi Horner-Johnson; Sheetal Kulkarni-Rajasekhara; Blair G Darney; Mekhala Dissanayake; Aaron B Caughey
Journal:  Disabil Health J       Date:  2017-04-06       Impact factor: 2.554

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.