Literature DB >> 25676603

Regional Growth in Medicare Spending, 1992-2010.

Camille Chicklis1, Thomas MaCurdy2,3, Jay Bhattacharya4, Jason Shafrin5,6,7,8, Sajid Zaidi9, Daniel Rogers10.   

Abstract

OBJECTIVE: To determine if regions with high Medicare expenditures in a given setting remain high cost over time. DATA SOURCES/STUDY
SETTING: One hundred percent of national Medicare Parts A and B fee-for-service beneficiary claims data and enrollment for 1992-2010. STUDY
DESIGN: Patients are classified into regions. Claims are price-standardized. Risk adjustment is performed at the beneficiary level using the CMS Hierarchical Condition Categories model. Correlation analyses are conducted. DATA COLLECTION/EXTRACTION
METHODS: The data were obtained through a contract with CMS for a study performed for the Institute of Medicine. PRINCIPAL
FINDINGS: High-cost regions in 1992 are likely to remain high cost in 2010. Stability in regional spending is highest in the home health, inpatient hospital, and outpatient hospital settings over this time period. Despite the persistence of a region's relative spending over time, a region's spending levels in all settings except home health tend to regress toward the mean.
CONCLUSIONS: Relatively high-cost regions tend to remain so over long periods of time, even after controlling for patient health status and geographic price variation, suggesting that the observed effect reflects real differences in practice patterns. © Health Research and Educational Trust.

Entities:  

Keywords:  Medicare fee-for-service; Medicare spending

Mesh:

Year:  2015        PMID: 25676603      PMCID: PMC4600362          DOI: 10.1111/1475-6773.12287

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  8 in total

1.  Regional variations in medical spending and utilization: a longitudinal analysis of US Medicare population.

Authors:  Andrew J Rettenmaier; Zijun Wang
Journal:  Health Econ       Date:  2010-12-15       Impact factor: 3.046

2.  Cross-state disparities in US health care expenditures.

Authors:  Ekaterini Panopoulou; Theologos Pantelidis
Journal:  Health Econ       Date:  2012-04-01       Impact factor: 3.046

3.  Geographic variation in the appropriate use of cesarean delivery.

Authors:  Katherine Baicker; Kasey S Buckles; Amitabh Chandra
Journal:  Health Aff (Millwood)       Date:  2006-08-08       Impact factor: 6.301

4.  Ensuring the fiscal sustainability of health care reform.

Authors:  Michael E Chernew; Lindsay Sabik; Amitabh Chandra; Joseph P Newhouse
Journal:  N Engl J Med       Date:  2009-12-09       Impact factor: 91.245

5.  The impact of Medicare coverage policies on health care utilization.

Authors:  Susan Bartlett Foote; Beth A Virnig; Robert J Town; Lacey Hartman
Journal:  Health Serv Res       Date:  2008-05-12       Impact factor: 3.402

6.  Regional variations in diagnostic practices.

Authors:  Yunjie Song; Jonathan Skinner; Julie Bynum; Jason Sutherland; John E Wennberg; Elliott S Fisher
Journal:  N Engl J Med       Date:  2010-05-12       Impact factor: 91.245

7.  Geographic variation in fee-for-service medicare beneficiaries' medical costs is largely explained by disease burden.

Authors:  James D Reschovsky; Jack Hadley; Patrick S Romano
Journal:  Med Care Res Rev       Date:  2013-05-28       Impact factor: 3.929

8.  PRODUCTIVITY SPILLOVERS IN HEALTHCARE: EVIDENCE FROM THE TREATMENT OF HEART ATTACKS.

Authors:  Amitabh Chandra; Douglas O Staiger
Journal:  J Polit Econ       Date:  2007
  8 in total
  3 in total

1.  Physician EHR Adoption and Potentially Preventable Hospital Admissions among Medicare Beneficiaries: Panel Data Evidence, 2010-2013.

Authors:  Eric J Lammers; Catherine G McLaughlin; Michael Barna
Journal:  Health Serv Res       Date:  2016-10-21       Impact factor: 3.402

2.  Meaningful Use of Electronic Health Records and Medicare Expenditures: Evidence from a Panel Data Analysis of U.S. Health Care Markets, 2010-2013.

Authors:  Eric J Lammers; Catherine G McLaughlin
Journal:  Health Serv Res       Date:  2016-08-22       Impact factor: 3.402

3.  Convergence in health care spending across counties in New York from 2007 through 2016.

Authors:  Mark A Zezza
Journal:  PLoS One       Date:  2019-04-24       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.