Literature DB >> 24889944

Patients' preferences explain a small but significant share of regional variation in medicare spending.

Laurence C Baker1, M Kate Bundorf2, Daniel P Kessler3.   

Abstract

This study assessed the extent to which differences in patients' preferences across geographic areas explained differences in traditional fee-for-service Medicare spending across Dartmouth Atlas of Health Care Hospital Referral Regions (HRRs). Preference measures were based on results of a survey that asked patients questions about their physicians, their own health status, and the care they would want in their last six months of life. We found that patients' preferences explained 5 percent of the variation across HRRs in total Medicare spending. In comparison, supply factors, such as the number of physicians, specialists, and hospital beds, explained 23 percent, and patients' health and income explained 12 percent. We also explored the relative importance of preferences in determining three components of total spending: spending at the end of life, inpatient spending, and spending on physician services. Relative to supply factors, health, and income, patients' preferences explained the largest share of variation in end-of-life spending and the smallest share of variation in spending on physician services. We conclude that variation in preferences contributes to differences across areas in Medicare spending. Medicare policy must consider both supply factors and patients' preferences in deciding how much to accommodate area variation in spending and the extent to which that variation should be subsidized by taxpayers. Project HOPE—The People-to-People Health Foundation, Inc.

Entities:  

Keywords:  Health Economics; Health Spending; Medicare; Variations

Mesh:

Year:  2014        PMID: 24889944      PMCID: PMC4212899          DOI: 10.1377/hlthaff.2013.1184

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  12 in total

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2.  Are regional variations in end-of-life care intensity explained by patient preferences?: A Study of the US Medicare Population.

Authors:  Amber E Barnato; M Brooke Herndon; Denise L Anthony; Patricia M Gallagher; Jonathan S Skinner; Julie P W Bynum; Elliott S Fisher
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Journal:  Med Care       Date:  2001-03       Impact factor: 2.983

4.  Advance directives and outcomes of surrogate decision making before death.

Authors:  Maria J Silveira; Scott Y H Kim; Kenneth M Langa
Journal:  N Engl J Med       Date:  2010-04-01       Impact factor: 91.245

5.  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

6.  The implications of regional variations in Medicare spending. Part 2: health outcomes and satisfaction with 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.  Regional variation in the association between advance directives and end-of-life Medicare expenditures.

Authors:  Lauren Hersch Nicholas; Kenneth M Langa; Theodore J Iwashyna; David R Weir
Journal:  JAMA       Date:  2011-10-05       Impact factor: 56.272

8.  Relationship between regional per capita Medicare expenditures and patient perceptions of quality of care.

Authors:  Floyd J Fowler; Patricia M Gallagher; Denise L Anthony; Kirk Larsen; Jonathan S Skinner
Journal:  JAMA       Date:  2008-05-28       Impact factor: 56.272

9.  Slowing the growth of health care costs--lessons from regional variation.

Authors:  Elliott S Fisher; Julie P Bynum; Jonathan S Skinner
Journal:  N Engl J Med       Date:  2009-02-26       Impact factor: 91.245

10.  How much do patients' preferences contribute to resource use?

Authors:  Denise L Anthony; M Brooke Herndon; Patricia M Gallagher; Amber E Barnato; Julie P W Bynum; Daniel J Gottlieb; Elliott S Fisher; Jonathan S Skinner
Journal:  Health Aff (Millwood)       Date:  2009 May-Jun       Impact factor: 6.301

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  25 in total

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2.  Improving the quality of health care in Canada.

Authors:  Irfan A Dhalla; Joshua Tepper
Journal:  CMAJ       Date:  2018-10-01       Impact factor: 8.262

3.  Conflict Management by Physicians: A Heavy Hand in Preference-Sensitive Decisions.

Authors:  Joanna L Hart
Journal:  Ann Am Thorac Soc       Date:  2018-02

4.  Race Differences in Gastrostomy Tube Placement After Stroke in Majority-White, Minority-Serving, and Racially Integrated US Hospitals.

Authors:  Roland Faigle; Lisa A Cooper; Rebecca F Gottesman
Journal:  Dysphagia       Date:  2018-02-21       Impact factor: 3.438

5.  Variation in the Cost of Managing Actinic Keratosis.

Authors:  Joslyn S Kirby; Tanner Gregory; Guodong Liu; Douglas L Leslie; Jeffrey J Miller
Journal:  JAMA Dermatol       Date:  2017-04-01       Impact factor: 10.282

6.  Are Preferences for Aggressive Medical Treatment Associated with Healthcare Utilization in the Very Old?

Authors:  Steven M Albert; June R Lunney; Lei Ye; Robert Boudreau; Diane Ives; Suzanne Satterfield; Cameron M Kaplan; Teresa Waters; Hilsa N Ayonayon; Susan M Rubin; Anne B Newman; Tamara Harris
Journal:  J Palliat Med       Date:  2017-03-23       Impact factor: 2.947

7.  Geographic Variation In Medicare Per Capita Spending Narrowed From 2007 To 2017.

Authors:  Yongkang Zhang; Jing Li
Journal:  Health Aff (Millwood)       Date:  2020-11       Impact factor: 6.301

8.  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

9.  Characteristics Associated with Home Health Care Referrals at Hospital Discharge: Results from the 2012 National Inpatient Sample.

Authors:  Christine D Jones; Heidi L Wald; Rebecca S Boxer; Frederick A Masoudi; Robert E Burke; Roberta Capp; Eric A Coleman; Adit A Ginde
Journal:  Health Serv Res       Date:  2016-05-16       Impact factor: 3.402

10.  Physician Characteristics Strongly Predict Patient Enrollment In Hospice.

Authors:  Ziad Obermeyer; Brian W Powers; Maggie Makar; Nancy L Keating; David M Cutler
Journal:  Health Aff (Millwood)       Date:  2015-06       Impact factor: 6.301

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