Literature DB >> 21306368

Following the money: factors associated with the cost of treating high-cost Medicare beneficiaries.

James D Reschovsky1, Jack Hadley, Cynthia B Saiontz-Martinez, Ellyn R Boukus.   

Abstract

OBJECTIVE: To identify factors associated with the cost of treating high-cost Medicare beneficiaries. DATA SOURCES: A national sample of 1.6 million elderly, Medicare beneficiaries linked to 2004-2005 Community Tracking Study Physician Survey respondents and local market data from secondary sources. STUDY
DESIGN: Using 12 months of claims data from 2005 to 2006, the sample was divided into predicted high-cost (top quartile) and lower cost beneficiaries using a risk-adjustment model. For each group, total annual standardized costs of care were regressed on beneficiary, usual source of care physician, practice, and market characteristics. PRINCIPAL
FINDINGS: Among high-cost beneficiaries, health was the predominant predictor of costs, with most physician and practice and many market factors (including provider supply) insignificant or weakly related to cost. Beneficiaries whose usual physician was a medical specialist or reported inadequate office visit time, medical specialist supply, provider for-profit status, care fragmentation, and Medicare fees were associated with higher costs.
CONCLUSIONS: Health reform policies currently envisioned to improve care and lower costs may have small effects on high-cost patients who consume most resources. Instead, developing interventions tailored to improve care and lowering cost for specific types of complex and costly patients may hold greater potential for "bending the cost curve." © Health Research and Educational Trust.

Entities:  

Mesh:

Year:  2011        PMID: 21306368      PMCID: PMC3165175          DOI: 10.1111/j.1475-6773.2011.01242.x

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


  20 in total

1.  The association between for-profit hospital ownership and increased Medicare spending.

Authors:  E M Silverman; J S Skinner; E S Fisher
Journal:  N Engl J Med       Date:  1999-08-05       Impact factor: 91.245

2.  Clarifying sources of geographic differences in Medicare spending.

Authors:  Stephen Zuckerman; Timothy Waidmann; Robert Berenson; Jack Hadley
Journal:  N Engl J Med       Date:  2010-05-12       Impact factor: 91.245

Review 3.  Physician response to fee changes with multiple payers.

Authors:  T G McGuire; M V Pauly
Journal:  J Health Econ       Date:  1991       Impact factor: 3.883

Review 4.  A comparison of outcomes resulting from generalist vs specialist care for a single discrete medical condition: a systematic review and methodologic critique.

Authors:  Gerald W Smetana; Bruce E Landon; Andrew B Bindman; Helen Burstin; Roger B Davis; Jennifer Tjia; Eugene C Rich
Journal:  Arch Intern Med       Date:  2007-01-08

5.  The rise in spending among Medicare beneficiaries: the role of chronic disease prevalence and changes in treatment intensity.

Authors:  Kenneth E Thorpe; David H Howard
Journal:  Health Aff (Millwood)       Date:  2006-08-22       Impact factor: 6.301

6.  The implications of regional variations in Medicare spending. Part 1: the content, quality, and accessibility of care.

Authors:  Elliott S Fisher; David E Wennberg; Thérèse A Stukel; Daniel J Gottlieb; F L Lucas; Etoile L Pinder
Journal:  Ann Intern Med       Date:  2003-02-18       Impact factor: 25.391

7.  Transitional care of older adults hospitalized with heart failure: a randomized, controlled trial.

Authors:  Mary D Naylor; Dorothy A Brooten; Roberta L Campbell; Greg Maislin; Kathleen M McCauley; J Sanford Schwartz
Journal:  J Am Geriatr Soc       Date:  2004-05       Impact factor: 5.562

8.  Care patterns in Medicare and their implications for pay for performance.

Authors:  Hoangmai H Pham; Deborah Schrag; Ann S O'Malley; Beny Wu; Peter B Bach
Journal:  N Engl J Med       Date:  2007-03-15       Impact factor: 91.245

9.  Risk adjustment of Medicare capitation payments using the CMS-HCC model.

Authors:  Gregory C Pope; John Kautter; Randall P Ellis; Arlene S Ash; John Z Ayanian; Lisa I Lezzoni; Melvin J Ingber; Jesse M Levy; John Robst
Journal:  Health Care Financ Rev       Date:  2004
View more
  20 in total

1.  The Myth Regarding the High Cost of End-of-Life Care.

Authors:  Melissa D Aldridge; Amy S Kelley
Journal:  Am J Public Health       Date:  2015-10-15       Impact factor: 9.308

2.  Is personality associated with health care use by older adults?

Authors:  Bruce Friedman; Peter J Veazie; Benjamin P Chapman; Willard G Manning; Paul R Duberstein
Journal:  Milbank Q       Date:  2013-09       Impact factor: 4.911

Review 3.  Factors Contributing to Variations in Physicians' Use of Evidence at The Point of Care: A Conceptual Model.

Authors:  James D Reschovsky; Eugene C Rich; Timothy K Lake
Journal:  J Gen Intern Med       Date:  2015-08       Impact factor: 5.128

4.  ACOs and the 1%: Changes in Spending Among High-Cost Patients Following the Medicare Shared Savings Program.

Authors:  Adam A Markovitz; Samyukta Mullangi; John M Hollingsworth; Ushapoorna Nuliyalu; Andrew M Ryan
Journal:  J Gen Intern Med       Date:  2019-07       Impact factor: 5.128

5.  Low-Value Care and Clinician Engagement in a Large Medicare Shared Savings Program ACO: a Survey of Frontline Clinicians.

Authors:  Adam A Markovitz; Michael D Rozier; Andrew M Ryan; Susan D Goold; John Z Ayanian; Edward C Norton; Timothy A Peterson; John M Hollingsworth
Journal:  J Gen Intern Med       Date:  2019-11-08       Impact factor: 5.128

6.  Costs and clinical quality among Medicare beneficiaries: associations with health center penetration of low-income residents.

Authors:  Ravi Sharma; Lydie A Lebrun-Harris; Quyen Ngo-Metzger
Journal:  Medicare Medicaid Res Rev       Date:  2014-09-08

7.  A predictive model of hospitalization cost after cerebral aneurysm clipping.

Authors:  Kimon Bekelis; Symeon Missios; Todd A MacKenzie; Nicos Labropoulos; David W Roberts
Journal:  J Neurointerv Surg       Date:  2015-01-12       Impact factor: 5.836

8.  Transformation of the Health Care Industry: Curb Your Enthusiasm?

Authors:  Lawton R Burns; Mark V Pauly
Journal:  Milbank Q       Date:  2018-03       Impact factor: 4.911

9.  Creating a National Provider Identifier (NPI) to Unique Physician Identification Number (UPIN) Crosswalk for Medicare Data.

Authors:  Helen M Parsons; Lindsey R Enewold; Robert Banks; Michael J Barrett; Joan L Warren
Journal:  Med Care       Date:  2017-12       Impact factor: 2.983

10.  Variations in the intensive use of head CT for elderly patients with hemorrhagic stroke.

Authors:  Kimon Bekelis; Elliott S Fisher; Nicos Labropoulos; Weiping Zhou; Jonathan Skinner
Journal:  Radiology       Date:  2014-10-29       Impact factor: 11.105

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.