Cargando…

Assessment of Self-reported Prognostic Expectations of People Undergoing Dialysis: United States Renal Data System Study of Treatment Preferences (USTATE)

IMPORTANCE: Prognostic understanding can shape patients’ treatment goals and preferences. Patients undergoing dialysis in the United States have limited life expectancy and may receive end-of-life care directed at life extension. Little is known about their prognostic expectations. OBJECTIVE: To und...

Descripción completa

Detalles Bibliográficos
Autores principales: O’Hare, Ann M., Kurella Tamura, Manjula, Lavallee, Danielle C., Vig, Elizabeth K., Taylor, Janelle S., Hall, Yoshio N., Katz, Ronit, Curtis, J. Randall, Engelberg, Ruth A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6618699/
https://www.ncbi.nlm.nih.gov/pubmed/31282920
http://dx.doi.org/10.1001/jamainternmed.2019.2879
_version_ 1783433900472664064
author O’Hare, Ann M.
Kurella Tamura, Manjula
Lavallee, Danielle C.
Vig, Elizabeth K.
Taylor, Janelle S.
Hall, Yoshio N.
Katz, Ronit
Curtis, J. Randall
Engelberg, Ruth A.
author_facet O’Hare, Ann M.
Kurella Tamura, Manjula
Lavallee, Danielle C.
Vig, Elizabeth K.
Taylor, Janelle S.
Hall, Yoshio N.
Katz, Ronit
Curtis, J. Randall
Engelberg, Ruth A.
author_sort O’Hare, Ann M.
collection PubMed
description IMPORTANCE: Prognostic understanding can shape patients’ treatment goals and preferences. Patients undergoing dialysis in the United States have limited life expectancy and may receive end-of-life care directed at life extension. Little is known about their prognostic expectations. OBJECTIVE: To understand the prognostic expectations of patients undergoing dialysis and how these relate to care planning, goals, and preferences. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional survey study of 996 eligible patients treated with regular dialysis at 31 nonprofit dialysis facilities in 2 metropolitan areas (Seattle, Washington, and Nashville, Tennessee) between April 2015 and October 2018. After a pilot phase, 1434 eligible patients were invited to participate (response rate, 69.5%). To provide a context for interpreting survey participants’ prognostic estimates, United States Renal Data System standard analysis files were used to construct a comparison cohort of 307 602 patients undergoing in-center hemodialysis on January 1, 2006, and followed for death through July 31, 2017. Final analyses for this study were conducted between November 2018 and March 2019. EXPOSURES: Responses to the question “How long would you guess people your age with similar health conditions usually live?” (<5 years, 5-10 years, >10 years, or not sure). MAIN OUTCOMES AND MEASURES: Self-reported (1) documentation of a surrogate decision-maker, (2) documentation of treatment preferences, (3) values around life prolongation, (4) preferences for receipt of cardiopulmonary resuscitation and mechanical ventilation, and (5) desired place of death. RESULTS: Of the 996 survey respondents, the mean (SD) age was 62.7 (13.9) years, and 438 (44.0%) were women. Overall, 112 (11.2%) survey respondents selected a prognosis of fewer than 5 years, 150 (15.1%) respondents selected 5 to 10 years, 330 (33.1%) respondents selected more than 10 years, and 404 (40.6%) were not sure. By comparison, 185 427 (60.3%) prevalent US in-center patients undergoing hemodialysis died within 5 years, 58 437 (19.0%) died within 5 to 10 years, and 63 738 (20.7%) lived more than 10 years. In analyses adjusted for participant characteristics, survey respondents with a prognostic expectation of more than 10 years (vs <5 years) were less likely to report documentation of a surrogate decision-maker (adjusted odds ratio [aOR], 0.6; 95% CI, 0.4-0.9) and treatment preferences (aOR, 0.4; 95% CI, 0.2-0.6) and to value comfort over life extension (aOR, 0.1; 95% CI, 0.04-0.3), and were more likely to want cardiopulmonary resuscitation (aOR, 5.3; 95% CI, 3.2-8.7) and mechanical ventilation (aOR, 2.2; 95% CI, 1.2-3.7). The respondents who reported that they were not sure about prognosis had similar associations. CONCLUSIONS AND RELEVANCE: Uncertain and overly optimistic prognostic expectations may limit the benefit of advance care planning and contribute to high-intensity end-of-life care in patients undergoing dialysis.
format Online
Article
Text
id pubmed-6618699
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher American Medical Association
record_format MEDLINE/PubMed
spelling pubmed-66186992019-07-28 Assessment of Self-reported Prognostic Expectations of People Undergoing Dialysis: United States Renal Data System Study of Treatment Preferences (USTATE) O’Hare, Ann M. Kurella Tamura, Manjula Lavallee, Danielle C. Vig, Elizabeth K. Taylor, Janelle S. Hall, Yoshio N. Katz, Ronit Curtis, J. Randall Engelberg, Ruth A. JAMA Intern Med Original Investigation IMPORTANCE: Prognostic understanding can shape patients’ treatment goals and preferences. Patients undergoing dialysis in the United States have limited life expectancy and may receive end-of-life care directed at life extension. Little is known about their prognostic expectations. OBJECTIVE: To understand the prognostic expectations of patients undergoing dialysis and how these relate to care planning, goals, and preferences. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional survey study of 996 eligible patients treated with regular dialysis at 31 nonprofit dialysis facilities in 2 metropolitan areas (Seattle, Washington, and Nashville, Tennessee) between April 2015 and October 2018. After a pilot phase, 1434 eligible patients were invited to participate (response rate, 69.5%). To provide a context for interpreting survey participants’ prognostic estimates, United States Renal Data System standard analysis files were used to construct a comparison cohort of 307 602 patients undergoing in-center hemodialysis on January 1, 2006, and followed for death through July 31, 2017. Final analyses for this study were conducted between November 2018 and March 2019. EXPOSURES: Responses to the question “How long would you guess people your age with similar health conditions usually live?” (<5 years, 5-10 years, >10 years, or not sure). MAIN OUTCOMES AND MEASURES: Self-reported (1) documentation of a surrogate decision-maker, (2) documentation of treatment preferences, (3) values around life prolongation, (4) preferences for receipt of cardiopulmonary resuscitation and mechanical ventilation, and (5) desired place of death. RESULTS: Of the 996 survey respondents, the mean (SD) age was 62.7 (13.9) years, and 438 (44.0%) were women. Overall, 112 (11.2%) survey respondents selected a prognosis of fewer than 5 years, 150 (15.1%) respondents selected 5 to 10 years, 330 (33.1%) respondents selected more than 10 years, and 404 (40.6%) were not sure. By comparison, 185 427 (60.3%) prevalent US in-center patients undergoing hemodialysis died within 5 years, 58 437 (19.0%) died within 5 to 10 years, and 63 738 (20.7%) lived more than 10 years. In analyses adjusted for participant characteristics, survey respondents with a prognostic expectation of more than 10 years (vs <5 years) were less likely to report documentation of a surrogate decision-maker (adjusted odds ratio [aOR], 0.6; 95% CI, 0.4-0.9) and treatment preferences (aOR, 0.4; 95% CI, 0.2-0.6) and to value comfort over life extension (aOR, 0.1; 95% CI, 0.04-0.3), and were more likely to want cardiopulmonary resuscitation (aOR, 5.3; 95% CI, 3.2-8.7) and mechanical ventilation (aOR, 2.2; 95% CI, 1.2-3.7). The respondents who reported that they were not sure about prognosis had similar associations. CONCLUSIONS AND RELEVANCE: Uncertain and overly optimistic prognostic expectations may limit the benefit of advance care planning and contribute to high-intensity end-of-life care in patients undergoing dialysis. American Medical Association 2019-07-08 2019-10 /pmc/articles/PMC6618699/ /pubmed/31282920 http://dx.doi.org/10.1001/jamainternmed.2019.2879 Text en Copyright 2019 O’Hare AM et al. JAMA Internal Medicine. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
O’Hare, Ann M.
Kurella Tamura, Manjula
Lavallee, Danielle C.
Vig, Elizabeth K.
Taylor, Janelle S.
Hall, Yoshio N.
Katz, Ronit
Curtis, J. Randall
Engelberg, Ruth A.
Assessment of Self-reported Prognostic Expectations of People Undergoing Dialysis: United States Renal Data System Study of Treatment Preferences (USTATE)
title Assessment of Self-reported Prognostic Expectations of People Undergoing Dialysis: United States Renal Data System Study of Treatment Preferences (USTATE)
title_full Assessment of Self-reported Prognostic Expectations of People Undergoing Dialysis: United States Renal Data System Study of Treatment Preferences (USTATE)
title_fullStr Assessment of Self-reported Prognostic Expectations of People Undergoing Dialysis: United States Renal Data System Study of Treatment Preferences (USTATE)
title_full_unstemmed Assessment of Self-reported Prognostic Expectations of People Undergoing Dialysis: United States Renal Data System Study of Treatment Preferences (USTATE)
title_short Assessment of Self-reported Prognostic Expectations of People Undergoing Dialysis: United States Renal Data System Study of Treatment Preferences (USTATE)
title_sort assessment of self-reported prognostic expectations of people undergoing dialysis: united states renal data system study of treatment preferences (ustate)
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6618699/
https://www.ncbi.nlm.nih.gov/pubmed/31282920
http://dx.doi.org/10.1001/jamainternmed.2019.2879
work_keys_str_mv AT ohareannm assessmentofselfreportedprognosticexpectationsofpeopleundergoingdialysisunitedstatesrenaldatasystemstudyoftreatmentpreferencesustate
AT kurellatamuramanjula assessmentofselfreportedprognosticexpectationsofpeopleundergoingdialysisunitedstatesrenaldatasystemstudyoftreatmentpreferencesustate
AT lavalleedaniellec assessmentofselfreportedprognosticexpectationsofpeopleundergoingdialysisunitedstatesrenaldatasystemstudyoftreatmentpreferencesustate
AT vigelizabethk assessmentofselfreportedprognosticexpectationsofpeopleundergoingdialysisunitedstatesrenaldatasystemstudyoftreatmentpreferencesustate
AT taylorjanelles assessmentofselfreportedprognosticexpectationsofpeopleundergoingdialysisunitedstatesrenaldatasystemstudyoftreatmentpreferencesustate
AT hallyoshion assessmentofselfreportedprognosticexpectationsofpeopleundergoingdialysisunitedstatesrenaldatasystemstudyoftreatmentpreferencesustate
AT katzronit assessmentofselfreportedprognosticexpectationsofpeopleundergoingdialysisunitedstatesrenaldatasystemstudyoftreatmentpreferencesustate
AT curtisjrandall assessmentofselfreportedprognosticexpectationsofpeopleundergoingdialysisunitedstatesrenaldatasystemstudyoftreatmentpreferencesustate
AT engelbergrutha assessmentofselfreportedprognosticexpectationsofpeopleundergoingdialysisunitedstatesrenaldatasystemstudyoftreatmentpreferencesustate