Literature DB >> 26386187

Preferences for Life-Sustaining Treatments and Associations With Accurate Prognostic Awareness and Depressive Symptoms in Terminally Ill Cancer Patients' Last Year of Life.

Siew Tzuh Tang1, Fur-Hsing Wen2, Chia-Hsun Hsieh3, Wen-Chi Chou3, Wen-Cheng Chang4, Jen-Shi Chen4, Ming-Chu Chiang5.   

Abstract

CONTEXT: The stability of life-sustaining treatment (LST) preferences at end of life (EOL) has been established. However, few studies have assessed preferences more than two times. Furthermore, associations of LST preferences with modifiable variables of accurate prognostic awareness, physician-patient EOL care discussions, and depressive symptoms have been investigated in cross-sectional studies only.
OBJECTIVES: To explore longitudinal changes in LST preferences and their associations with accurate prognostic awareness, physician-patient EOL care discussions, and depressive symptoms in terminally ill cancer patients' last year.
METHODS: LST preferences (cardiopulmonary resuscitation, intensive care unit [ICU] care, intubation, and mechanical ventilation) were measured approximately every two weeks. Changes in LST preferences and their associations with independent variables were examined by hierarchical generalized linear modeling with logistic regression.
RESULTS: Participants (n = 249) predominantly rejected cardiopulmonary resuscitation, ICU care, intubation, and mechanical ventilation at EOL without significant changes as death approached. Patients with inaccurate prognostic awareness were significantly more likely than those with accurate understanding to prefer ICU care, intubation, and mechanical ventilation than to reject these LSTs. Patients with more severe depressive symptoms were less likely to prefer ICU care and to be undecided about wanting ICU care and mechanical ventilation than to reject such LSTs. LST preferences were not associated with physician-patient EOL care discussions, which were rare in our sample.
CONCLUSION: LST preferences are stable in cancer patients' last year. Facilitating accurate prognostic awareness and providing adequate psychological support may counteract the increasing trend for aggressive EOL care and minimize emotional distress during EOL care decisions.
Copyright © 2016 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Preferences; end-of-life care; life-sustaining treatments; stability; terminally ill cancer patients

Mesh:

Year:  2015        PMID: 26386187     DOI: 10.1016/j.jpainsymman.2015.08.006

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  9 in total

1.  Factors Associated With End-of-Life Planning in Huntington Disease.

Authors:  Nancy R Downing; Siera Goodnight; Sena Chae; Joel S Perlmutter; Michael McCormack; Elizabeth Hahn; Stacey K Barton; Noelle Carlozzi
Journal:  Am J Hosp Palliat Care       Date:  2017-06-28       Impact factor: 2.500

2.  Transitions in Prognostic Awareness Among Terminally Ill Cancer Patients in Their Last 6 Months of Life Examined by Multi-State Markov Modeling.

Authors:  Chen Hsiu Chen; Fur-Hsing Wen; Ming-Mo Hou; Chia-Hsun Hsieh; Wen-Chi Chou; Jen-Shi Chen; Wen-Cheng Chang; Siew Tzuh Tang
Journal:  Oncologist       Date:  2017-07-06

3.  When does early palliative care influence aggressive care at the end of life?

Authors:  Mellar P Davis; Erin A Vanenkevort; Alexander Elder; Amanda Young; Irina D Correa Ordonez; Mark J Wojtowicz; Halle Ellison; Carlos Fernandez; Zankhana Mehta; Bertrand Behm; Glen Digwood; Rajiv Panikkar
Journal:  Support Care Cancer       Date:  2022-03-15       Impact factor: 3.603

4.  It Is Not What You Think: Associations Between Perceived Cognitive and Physical Status and Prognostic Understanding in Patients With Advanced Cancer.

Authors:  Keiko Kurita; Eugenia L Siegler; M Cary Reid; Renee C Maciejewski; Holly G Prigerson
Journal:  J Pain Symptom Manage       Date:  2018-05-10       Impact factor: 3.612

5.  Processes of code status transitions in hospitalized patients with advanced cancer.

Authors:  Areej El-Jawahri; Kelsey Lau-Min; Ryan D Nipp; Joseph A Greer; Lara N Traeger; Samantha M Moran; Sara M D'Arpino; Ephraim P Hochberg; Vicki A Jackson; Barbara J Cashavelly; Holly S Martinson; David P Ryan; Jennifer S Temel
Journal:  Cancer       Date:  2017-09-07       Impact factor: 6.860

Review 6.  Interventions to Improve Prognostic Understanding in Advanced Stages of Life-Limiting Illness: A Systematic Review.

Authors:  Login S George; Konstantina Matsoukas; Daniel C McFarland; Jennifer M Bowers; Meredith J Doherty; Young Suk Kwon; Thomas M Atkinson; Elissa Kozlov; Biren Saraiya; Holly G Prigerson; William Breitbart
Journal:  J Pain Symptom Manage       Date:  2021-09-09       Impact factor: 3.612

7.  Health-related preferences of older patients with multimorbidity: an evidence map.

Authors:  Ana Isabel Gonzalez; Christine Schmucker; Joerg J Meerpohl; Christiane Muth; Julia Nothacker; Edith Motschall; Truc Sophia Nguyen; Maria-Sophie Brueckle; Jeanet Blom; Marjan van den Akker; Kristian Röttger; Odette Wegwarth; Tammy Hoffmann; Sharon E Straus; Ferdinand M Gerlach
Journal:  BMJ Open       Date:  2019-12-15       Impact factor: 2.692

8.  Treatment Limitation Decisions in Critically Ill Patients With a Malignancy on the Intensive Care Unit.

Authors:  Esther N van der Zee; Jelle L Epker; Jan Bakker; Dominique D Benoit; Erwin J O Kompanje
Journal:  J Intensive Care Med       Date:  2020-08-13       Impact factor: 3.510

Review 9.  Prognostic Awareness in Advanced Disease: A Review Update and Concept Analysis.

Authors:  Franziska Kühne; Myriel Hermann; Martina Preisler; Amy Rohrmoser; Anne Letsch; Ute Goerling
Journal:  Front Psychol       Date:  2021-06-24
  9 in total

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