Literature DB >> 31424316

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

Brystana G Kaufman1, David Klemish2, Andrew Olson1, Cordt T Kassner3, Jerome P Reiter2, Matthew Harker4, Laura Sheble5,6, Benjamin A Goldstein2, Donald H Taylor7, Nrupen A Bhavsar8.   

Abstract

Background: Hospital referral regions (HRRs) are often used to characterize inpatient referral patterns, but it is unknown how well these geographic regions are aligned with variation in Medicare-financed hospice care, which is largely provided at home. Objective: Our objective was to characterize the variability in hospice use rates among elderly Medicare decedents by HRR and county.
Methods: Using 2014 Master Beneficiary File for decedents 65 and older from North and South Carolina, we applied Bayesian mixed models to quantify variation in hospice use rates explained by HRR fixed effects, county random effects, and residual error among Medicare decedents.
Results: We found HRRs and county indicators are significant predictors of hospice use in NC and SC; however, the relative variation within HRRs and associated residual variation is substantial. On average, HRR fixed effects explained more variation in hospice use rates than county indicators with a standard deviation (SD) of 10.0 versus 5.1 percentage points. The SD of the residual error is 5.7 percentage points. On average, variation within HRRs is about half the variation between regions (52%). Conclusions: The magnitude of unexplained residual variation in hospice use for NC and SC suggests that novel, end-of-life-specific service areas should be developed and tested to better capture geographic differences and inform research, health systems, and policy.

Keywords:  Bayesian statistics; Medicare; health care cost; hospice; practice variation

Mesh:

Year:  2019        PMID: 31424316      PMCID: PMC6931913          DOI: 10.1089/jpm.2019.0056

Source DB:  PubMed          Journal:  J Palliat Med        ISSN: 1557-7740            Impact factor:   2.947


  19 in total

1.  The lack of effect of market structure on hospice use.

Authors:  Theodore J Iwashyna; Virginia W Chang; James X Zhang; Nicholas A Christakis
Journal:  Health Serv Res       Date:  2002-12       Impact factor: 3.402

2.  Geographic access to hospice in the United States.

Authors:  Melissa D A Carlson; Elizabeth H Bradley; Qingling Du; R Sean Morrison
Journal:  J Palliat Med       Date:  2010-10-27       Impact factor: 2.947

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

Authors:  Matt Stiefel; Paul Feigenbaum; Elliott S Fisher
Journal:  Perm J       Date:  2008

4.  Advance care planning norms may contribute to hospital variation in end-of-life ICU use: a simulation study.

Authors:  Amber E Barnato; Deepika Mohan; Rondall K Lane; Yue Ming Huang; Derek C Angus; Coreen Farris; Robert M Arnold
Journal:  Med Decis Making       Date:  2014-03-10       Impact factor: 2.583

5.  How much is postacute care use affected by its availability?

Authors:  Melinda Beeuwkes Buntin; Anita Datar Garten; Susan Paddock; Debra Saliba; Mark Totten; José J Escarce
Journal:  Health Serv Res       Date:  2005-04       Impact factor: 3.402

6.  Do hospital service areas and hospital referral regions define discrete health care populations?

Authors:  Austin S Kilaru; Douglas J Wiebe; David N Karp; Jennifer Love; Michael J Kallan; Brendan G Carr
Journal:  Med Care       Date:  2015-06       Impact factor: 2.983

7.  Factors Contributing To Geographic Variation In End-Of-Life Expenditures For Cancer Patients.

Authors:  Nancy L Keating; Haiden A Huskamp; Elena Kouri; Deborah Schrag; Mark C Hornbrook; David A Haggstrom; Mary Beth Landrum
Journal:  Health Aff (Millwood)       Date:  2018-07       Impact factor: 6.301

8.  Change in end-of-life care for Medicare beneficiaries: site of death, place of care, and health care transitions in 2000, 2005, and 2009.

Authors:  Joan M Teno; Pedro L Gozalo; Julie P W Bynum; Natalie E Leland; Susan C Miller; Nancy E Morden; Thomas Scupp; David C Goodman; Vincent Mor
Journal:  JAMA       Date:  2013-02-06       Impact factor: 56.272

9.  Race and residence: intercounty variation in black-white differences in hospice use.

Authors:  Kimberly S Johnson; Maragatha Kuchibhatla; Richard Payne; James A Tulsky
Journal:  J Pain Symptom Manage       Date:  2013-03-21       Impact factor: 3.612

10.  Hospice use among cancer decedents in Alabama, 2002-2005.

Authors:  Todd M Jenkins; Kathryn L Chapman; Dorothy S Harshbarger; Julie S Townsend
Journal:  Prev Chronic Dis       Date:  2009-09-15       Impact factor: 2.830

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