Literature DB >> 28333569

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

Steven M Albert1, June R Lunney2, Lei Ye3, Robert Boudreau3, Diane Ives3, Suzanne Satterfield4, Cameron M Kaplan4, Teresa Waters4, Hilsa N Ayonayon5, Susan M Rubin5, Anne B Newman3, Tamara Harris6.   

Abstract

Objectives: To examine the relationship between end-of-life (EOL) treatment preferences and recent hospitalization or emergency department (ED) care in the very old. Design: Quarterly telephone follow-up of participants in the EOL in the Very Old cohort. Setting: The EOL in the Very Old Age cohort drew from 1403 participants in the Health, Aging, and Body Composition (Health ABC) study who were alive in year 15 of follow-up. 87.5% (n = 1227) were successfully recontacted and enrolled. Participants: Preferences for treatment at the EOL and reported hospital and ED use were examined for 1118 participants (18% involving proxy reports) over 6 months, 1021 (16% with proxy reports) over 12 months, and 945 (23% with proxy reports) over 18 months in 6-month intervals. Measurements: Preferences for eight EOL treatments, elicited once each year; hospitalization and ED use reported every six months.
Results: Preferences for more aggressive treatment (endorsing ≥5 of 8 options) were not significantly associated with inpatient or ED treatment. Inpatient and ED treatment were not associated with changes in preferences for aggressive EOL treatment over 12 months.
Conclusion: Alternative measures that tap attitudes toward routine care, rather than EOL treatment preferences, may be more highly associated with healthcare utilization.

Entities:  

Keywords:  Health ABC; cohort studies; end-of-life; healthcare utilization; treatment preferences

Year:  2017        PMID: 28333569      PMCID: PMC5455611          DOI: 10.1089/jpm.2016.0284

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


  10 in total

1.  Do place-of-death preferences for patients receiving specialist palliative care change over time?

Authors:  Rebecca Evans; Anne Finucane; Lynsey Vanhegan; Elizabeth Arnold; David Oxenham
Journal:  Int J Palliat Nurs       Date:  2014-12

2.  Nursing Home Residents' Preferences on Physician Orders for Life Sustaining Treatment.

Authors:  Anna N Rahman; Matthew Bressette; Zachary D Gassoumis; Susan Enguidanos
Journal:  Gerontologist       Date:  2015-03-20

3.  Findings on Advance Care Plans among Cognitively Impaired Older Adults.

Authors:  Anna Jeznach; Holly Anna Tuokko; Mauricio A Garcia-Barrera; Kelli Stajduhar
Journal:  Can J Aging       Date:  2015-03-02

Review 4.  Stability of end-of-life preferences: a systematic review of the evidence.

Authors:  Catherine L Auriemma; Christina A Nguyen; Rachel Bronheim; Saida Kent; Shrivatsa Nadiger; Dustin Pardo; Scott D Halpern
Journal:  JAMA Intern Med       Date:  2014-07       Impact factor: 21.873

5.  Failure to engage hospitalized elderly patients and their families in advance care planning.

Authors:  Daren K Heyland; Doris Barwich; Deb Pichora; Peter Dodek; Francois Lamontagne; John J You; Carolyn Tayler; Pat Porterfield; Tasnim Sinuff; Jessica Simon
Journal:  JAMA Intern Med       Date:  2013-05-13       Impact factor: 21.873

6.  Factors influencing the use of intensive procedures at the end of life.

Authors:  Evan C Tschirhart; Qingling Du; Amy S Kelley
Journal:  J Am Geriatr Soc       Date:  2014-11-06       Impact factor: 5.562

7.  The consistency between treatments provided to nursing facility residents and orders on the physician orders for life-sustaining treatment form.

Authors:  Susan E Hickman; Christine A Nelson; Alvin H Moss; Susan W Tolle; Nancy A Perrin; Bernard J Hammes
Journal:  J Am Geriatr Soc       Date:  2011-10-22       Impact factor: 5.562

8.  Patient values and preferences for end-of-life treatments: are values better predictors than a living will?

Authors:  Laraine Winter
Journal:  J Palliat Med       Date:  2013-02-26       Impact factor: 2.947

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

Authors:  Laurence C Baker; M Kate Bundorf; Daniel P Kessler
Journal:  Health Aff (Millwood)       Date:  2014-06       Impact factor: 6.301

10.  Is educational attainment related to end-of-life decision-making? A large post-mortem survey in Belgium.

Authors:  Kenneth Chambaere; Judith A C Rietjens; Joachim Cohen; Koen Pardon; Reginald Deschepper; H Roeline W Pasman; Luc Deliens
Journal:  BMC Public Health       Date:  2013-11-09       Impact factor: 3.295

  10 in total

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