Literature DB >> 21369505

The dartmouth atlas applied to kaiser permanente: analysis of variation in care at the end of life.

Matt Stiefel, Paul Feigenbaum, Elliott S Fisher.   

Abstract

The Dartmouth Atlas method for examination of variation in care at the end of life was replicated by Kaiser Permanente (KP). Variation within KP was analyzed and compared with corresponding Dartmouth Atlas Hospital Referral Regions. Although KP inpatient care use rates were 25% to 30% lower and hospice use rates were higher than in the surrounding communities, there was still two- to four-fold variation in inpatient care use across KP geographic areas. Evidence suggests that more, or more intensive, care for this population is neither necessarily better nor desired by patients. If all California (CA) KP residence areas had the hospital day rate of the average of the lowest three, 2005 decedents would have had more than 50,000 fewer hospital days in their last six months of life. High-intensity care accounts for a large proportion of the overall variation in total costs for this population. This strongly reinforces the focus on appropriate intensive care unit (ICU) use in end-of-life care. Greater emphasis on palliative care approaches for patients with chronic conditions and earlier transition to the use of hospice would create a better match between the expressed desires of patients and the care they receive, thus improving member and family satisfaction as well as quality of care. In addition, earlier transition to hospice in KP could be one important tool for avoiding undesired and nonbeneficial ICU use, given the negative correlation between hospice and ICU use identified in this analysis.Geographic variation in hospital use within KP appears to be correlated with variation in the surrounding communities, even though it is lower on average within KP than outside it. This suggests that KP resource use may be influenced at least in part by broader community practices.

Entities:  

Year:  2008        PMID: 21369505      PMCID: PMC3042338          DOI: 10.7812/tpp/07-120

Source DB:  PubMed          Journal:  Perm J        ISSN: 1552-5767


  10 in total

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3.  Evaluating the efficiency of california providers in caring for patients with chronic illnesses.

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4.  Small area variations in health care delivery.

Authors:  J Wennberg
Journal:  Science       Date:  1973-12-14       Impact factor: 47.728

5.  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
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6.  Regional variations in health care intensity and physician perceptions of quality of care.

Authors:  Brenda E Sirovich; Daniel J Gottlieb; H Gilbert Welch; Elliott S Fisher
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7.  A controlled trial to improve care for seriously ill hospitalized patients. The study to understand prognoses and preferences for outcomes and risks of treatments (SUPPORT). The SUPPORT Principal Investigators.

Authors: 
Journal:  JAMA       Date:  1995 Nov 22-29       Impact factor: 56.272

8.  Hospice use among Medicare managed care and fee-for-service patients dying with cancer.

Authors:  Ellen P McCarthy; Risa B Burns; Quyen Ngo-Metzger; Roger B Davis; Russell S Phillips
Journal:  JAMA       Date:  2003-05-07       Impact factor: 56.272

9.  Chronic conditions and risk of in-hospital death.

Authors:  L I Iezzoni; T Heeren; S M Foley; J Daley; J Hughes; G A Coffman
Journal:  Health Serv Res       Date:  1994-10       Impact factor: 3.402

10.  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
  10 in total
  9 in total

1.  The elusive connection between health care spending and quality.

Authors:  Jonathan Skinner; Amitabh Chandra; David Goodman; Elliott S Fisher
Journal:  Health Aff (Millwood)       Date:  2008-12-04       Impact factor: 6.301

2.  HMO coverage reduces variations in the use of health care among patients under age sixty-five.

Authors:  Laurence C Baker; M Kate Bundorf; Daniel P Kessler
Journal:  Health Aff (Millwood)       Date:  2010-11       Impact factor: 6.301

3.  Use of Hospital Referral Regions in Evaluating End-of-Life Care.

Authors:  Brystana G Kaufman; David Klemish; Andrew Olson; Cordt T Kassner; Jerome P Reiter; Matthew Harker; Laura Sheble; Benjamin A Goldstein; Donald H Taylor; Nrupen A Bhavsar
Journal:  J Palliat Med       Date:  2019-08-19       Impact factor: 2.947

Review 4.  Comparative health systems research among Kaiser Permanente and other integrated delivery systems: a systematic literature review.

Authors:  Jared Lane K Maeda; Karen M Lee; Michael Horberg
Journal:  Perm J       Date:  2014-06-09

5.  Geographic variation in cardiovascular procedure use among Medicare fee-for-service vs Medicare Advantage beneficiaries.

Authors:  Daniel D Matlock; Peter W Groeneveld; Steve Sidney; Susan Shetterly; Glenn Goodrich; Karen Glenn; Stan Xu; Lin Yang; Steven A Farmer; Kristi Reynolds; Andrea E Cassidy-Bushrow; Tracy Lieu; Denise M Boudreau; Robert T Greenlee; Jeffrey Tom; Suma Vupputuri; Kenneth F Adams; David H Smith; Margaret J Gunter; Alan S Go; David J Magid
Journal:  JAMA       Date:  2013-07-10       Impact factor: 56.272

6.  Trends in Receipt of Intensive Procedures at the End of Life Among Patients Treated With Maintenance Dialysis.

Authors:  Nwamaka D Eneanya; Susan M Hailpern; Ann M O'Hare; Manjula Kurella Tamura; Ronit Katz; William Kreuter; Maria E Montez-Rath; Paul L Hebert; Yoshio N Hall
Journal:  Am J Kidney Dis       Date:  2016-09-29       Impact factor: 8.860

7.  Regional Variations: The Use Of Hospitals, Home Health, And Skilled Nursing In Traditional Medicare And Medicare Advantage.

Authors:  Qijuan Li; Momotazur Rahman; Pedro Gozalo; Laura M Keohane; Marsha R Gold; Amal N Trivedi
Journal:  Health Aff (Millwood)       Date:  2018-08       Impact factor: 6.301

8.  Opioid use and associated factors among pancreatic cancer patients diagnosed between 2007 and 2015.

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Journal:  Cancer Med       Date:  2022-02-23       Impact factor: 4.711

9.  Medicare and Private Insurance Variations in New Medical Technology: The Case of Drug Eluting Stents.

Authors:  Esra Eren Bayindir; Pinar Karaca Mandic
Journal:  Health Econ Outcome Res       Date:  2016-05-18
  9 in total

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