Literature DB >> 19414899

How much do patients' preferences contribute to resource use?

Denise L Anthony1, M Brooke Herndon, Patricia M Gallagher, Amber E Barnato, Julie P W Bynum, Daniel J Gottlieb, Elliott S Fisher, Jonathan S Skinner.   

Abstract

Regional variation in health care use may stem, in part, from the fact that patients in high-utilization regions demand and receive more-intensive care. We examine the association between patients' care-seeking preferences and use of services, using a national survey of Medicare patients. Patients' preferences, in addition to health and sociodemographic characteristics, are associated with differences in individuals' use of office visits. However, we find that patients' preferences for seeking primary and specialty medical care do not play a significant role in explaining regional variation in health care use.

Entities:  

Mesh:

Year:  2009        PMID: 19414899      PMCID: PMC2731939          DOI: 10.1377/hlthaff.28.3.864

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


  40 in total

1.  Patient preferences and health disparities.

Authors:  J N Katz
Journal:  JAMA       Date:  2001-09-26       Impact factor: 56.272

2.  Geography and the debate over Medicare reform.

Authors:  John E Wennberg; Elliott S Fisher; Jonathan S Skinner
Journal:  Health Aff (Millwood)       Date:  2002 Jul-Dec       Impact factor: 6.301

3.  Measuring what people value: a comparison of "attitude" and "preference" surveys.

Authors:  Kathryn A Phillips; F Reed Johnson; Tara Maddala
Journal:  Health Serv Res       Date:  2002-12       Impact factor: 3.402

4.  Variation in use of medical care services: higher risk or higher consumption?

Authors:  John M Bertko
Journal:  Health Aff (Millwood)       Date:  2003 Jul-Dec       Impact factor: 6.301

Review 5.  Floridian exceptionalism.

Authors:  Victor R Fuchs
Journal:  Health Aff (Millwood)       Date:  2003 Jul-Dec       Impact factor: 6.301

6.  Small-area variation in hospital discharge rates. Do socioeconomic variables matter?

Authors:  C G McLaughlin; D P Normolle; R A Wolfe; L F McMahon; J R Griffith
Journal:  Med Care       Date:  1989-05       Impact factor: 2.983

7.  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

8.  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

9.  Pathways to the doctor-from person to patient.

Authors:  I K Zola
Journal:  Soc Sci Med       Date:  1973-09       Impact factor: 4.634

10.  Enthusiasm for cancer screening in the United States.

Authors:  Lisa M Schwartz; Steven Woloshin; Floyd J Fowler; H Gilbert Welch
Journal:  JAMA       Date:  2004-01-07       Impact factor: 56.272

View more
  41 in total

1.  Market variations in intensity of Medicare service use and beneficiary experiences with care.

Authors:  Jessica N Mittler; Bruce E Landon; Elliot S Fisher; Paul D Cleary; Alan M Zaslavsky
Journal:  Health Serv Res       Date:  2010-04-06       Impact factor: 3.402

2.  Seniors' perceptions of health care not closely associated with physician supply.

Authors:  David J Nyweide; Denise L Anthony; Chiang-Hua Chang; David Goodman
Journal:  Health Aff (Millwood)       Date:  2011-02       Impact factor: 6.301

3.  Sources of regional variation in Medicare Part D drug spending.

Authors:  Julie M Donohue; Nancy E Morden; Walid F Gellad; Julie P Bynum; Weiping Zhou; Joseph T Hanlon; Jonathan Skinner
Journal:  N Engl J Med       Date:  2012-02-09       Impact factor: 91.245

4.  Variation in prostate-specific antigen screening in men aged 80 and older in fee-for-service Medicare.

Authors:  Julie Bynum; Yunjie Song; Elliott Fisher
Journal:  J Am Geriatr Soc       Date:  2010-03-22       Impact factor: 5.562

5.  Spatial risk adjustment between health insurances: using GWR in risk adjustment models to conserve incentives for service optimisation and reduce MAUP.

Authors:  Danny Wende
Journal:  Eur J Health Econ       Date:  2019-06-13

6.  Payer Type and Low-Value Care: Comparing Choosing Wisely Services across Commercial and Medicare Populations.

Authors:  Carrie H Colla; Nancy E Morden; Thomas D Sequist; Alexander J Mainor; Zhonghe Li; Meredith B Rosenthal
Journal:  Health Serv Res       Date:  2017-02-19       Impact factor: 3.402

7.  Managing care? Medicare managed care and patient use of cardiologists.

Authors:  Marco D Huesch
Journal:  Health Serv Res       Date:  2009-12-30       Impact factor: 3.402

8.  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

9.  Association of patient preferences for participation in decision making with length of stay and costs among hospitalized patients.

Authors:  Hyo Jung Tak; Gregory W Ruhnke; David O Meltzer
Journal:  JAMA Intern Med       Date:  2013-07-08       Impact factor: 21.873

10.  Characterizing the public's preferential attitudes toward end-of-life care options: a role for the threshold technique?

Authors:  R Trafford Crump; H Llewellyn-Thomas
Journal:  Health Serv Res       Date:  2013-02-28       Impact factor: 3.402

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.