Literature DB >> 16636215

Prospective study of health status preferences and changes in preferences over time in older adults.

Terri R Fried1, Amy L Byers, William T Gallo, Peter H Van Ness, Virginia R Towle, John R O'Leary, Joel A Dubin.   

Abstract

BACKGROUND: Instructional forms of advance care planning depend on the ability of patients to predict their future treatment preferences. However, preferences may change with changes in patients' health states.
METHODS: We conducted in-home interviews of 226 older community-dwelling persons with advanced cancer, congestive heart failure, or chronic obstructive pulmonary disease at least every 4 months for up to 2 years. Patients were asked to rate whether treatment for their illness would be acceptable if it resulted in 1 of 4 health states.
RESULTS: The likelihood of rating as acceptable a treatment resulting in mild (odds ratio [OR], 1.11; 95% confidence interval [CI], 1.06-1.16) or severe (OR, 1.06; 95% CI, 1.03-1.09) functional disability increased with each month of participation. Patients who experienced a decline in their ability to perform instrumental activities of daily living were more likely to rate as acceptable treatment resulting in mild (OR, 1.23; 95% CI, 1.08-1.40) or severe (OR, 1.23; 95% CI, 1.11-1.37) disability. Although the overall likelihood of rating treatment resulting in a state of pain as acceptable did not change over time (OR, 0.98; 95% CI, 0.96-1.01), patients who had moderate to severe pain were more likely to rate this treatment as acceptable (OR, 2.55; 95% CI, 1.56-4.19) than were those who did not have moderate to severe pain.
CONCLUSIONS: For some patients, the acceptability of treatment resulting in certain diminished states of health increases with time, and increased acceptability is more likely among patients experiencing a decline in that same domain. These changes pose a challenge to advance care planning, which asks patients to predict their future treatment preferences.

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Year:  2006        PMID: 16636215      PMCID: PMC1978221          DOI: 10.1001/archinte.166.8.890

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  35 in total

1.  Stability of older adults' preferences for life-sustaining medical treatment.

Authors:  Peter H Ditto; William D Smucker; Joseph H Danks; Jill A Jacobson; Renate M Houts; Angela Fagerlin; Kristen M Coppola; R Mitchell Gready
Journal:  Health Psychol       Date:  2003-11       Impact factor: 4.267

2.  STUDIES OF ILLNESS IN THE AGED. THE INDEX OF ADL: A STANDARDIZED MEASURE OF BIOLOGICAL AND PSYCHOSOCIAL FUNCTION.

Authors:  S KATZ; A B FORD; R W MOSKOWITZ; B A JACKSON; M W JAFFE
Journal:  JAMA       Date:  1963-09-21       Impact factor: 56.272

Review 3.  Advance directives and advancing age.

Authors:  Linda L Emanuel
Journal:  J Am Geriatr Soc       Date:  2004-04       Impact factor: 5.562

4.  The stability of older adults' judgments of fates better and worse than death.

Authors:  L K Lockhart; P H Ditto; J H Danks; K M Coppola; W D Smucker
Journal:  Death Stud       Date:  2001-06

5.  Understanding the treatment preferences of seriously ill patients.

Authors:  Terri R Fried; Elizabeth H Bradley; Virginia R Towle; Heather Allore
Journal:  N Engl J Med       Date:  2002-04-04       Impact factor: 91.245

6.  Micromanaging death: process preferences, values, and goals in end-of-life medical decision making.

Authors:  Nikki Ayers Hawkins; Peter H Ditto; Joseph H Danks; William D Smucker
Journal:  Gerontologist       Date:  2005-02

7.  Whose quality of life? A commentary exploring discrepancies between health state evaluations of patients and the general public.

Authors:  Peter A Ubel; George Loewenstein; Christopher Jepson
Journal:  Qual Life Res       Date:  2003-09       Impact factor: 4.147

8.  Treatment preferences in recurrent ovarian cancer.

Authors:  Kristine A Donovan; Paul G Greene; John L Shuster; Edward E Partridge; Diane C Tucker
Journal:  Gynecol Oncol       Date:  2002-08       Impact factor: 5.482

9.  What matters to seriously ill older persons making end-of-life treatment decisions?: A qualitative study.

Authors:  Terri R Fried; Elizabeth H Bradley
Journal:  J Palliat Med       Date:  2003-04       Impact factor: 2.947

10.  Physical functioning, depression, and preferences for treatment at the end of life: the Johns Hopkins Precursors Study.

Authors:  Joseph B Straton; Nae-Yuh Wang; Lucy A Meoni; Daniel E Ford; Michael J Klag; David Casarett; Joseph J Gallo
Journal:  J Am Geriatr Soc       Date:  2004-04       Impact factor: 5.562

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  55 in total

1.  Comparing three life-limiting diseases: does diagnosis matter or is sick, sick?

Authors:  Karen E Steinhauser; Robert M Arnold; Maren K Olsen; Jennifer Lindquist; Judith Hays; Laura L Wood; Allison M Burton; James A Tulsky
Journal:  J Pain Symptom Manage       Date:  2011-01-28       Impact factor: 3.612

2.  Too soon to give up: re-examining the value of advance directives.

Authors:  Benjamin H Levi; Michael J Green
Journal:  Am J Bioeth       Date:  2010-04       Impact factor: 11.229

3.  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
Journal:  Med Care       Date:  2007-05       Impact factor: 2.983

4.  Missing data: a special challenge in aging research.

Authors:  Susan E Hardy; Heather Allore; Stephanie A Studenski
Journal:  J Am Geriatr Soc       Date:  2009-02-10       Impact factor: 5.562

5.  Communication about chronic critical illness.

Authors:  Judith E Nelson; Alice F Mercado; Sharon L Camhi; Nidhi Tandon; Sylvan Wallenstein; Gary I August; R Sean Morrison
Journal:  Arch Intern Med       Date:  2007-12-10

6.  Quality versus quantity in end-of-life choices of cancer patients and support persons: a discrete choice experiment.

Authors:  Amy Waller; Rob Sanson-Fisher; Scott D Brown; Laura Wall; Justin Walsh
Journal:  Support Care Cancer       Date:  2018-05-03       Impact factor: 3.603

7.  The association between treatment preferences and trajectories of care at the end-of-life.

Authors:  JoAnne Alissi Cosgriff; Margaret Pisani; Elizabeth H Bradley; John R O'Leary; Terri R Fried
Journal:  J Gen Intern Med       Date:  2007-09-14       Impact factor: 5.128

8.  Stability of preferences for end-of-life treatment after 3 years of follow-up: the Johns Hopkins Precursors Study.

Authors:  Marsha N Wittink; Knashawn H Morales; Lucy A Meoni; Daniel E Ford; Nae-Yuh Wang; Michael J Klag; Joseph J Gallo
Journal:  Arch Intern Med       Date:  2008-10-27

Review 9.  Affective forecasting: an unrecognized challenge in making serious health decisions.

Authors:  Jodi Halpern; Robert M Arnold
Journal:  J Gen Intern Med       Date:  2008-07-30       Impact factor: 5.128

10.  Using the experiences of bereaved caregivers to inform patient- and caregiver-centered advance care planning.

Authors:  Terri R Fried; John R O'Leary
Journal:  J Gen Intern Med       Date:  2008-07-30       Impact factor: 5.128

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