Literature DB >> 26656520

A Decade of Changes in Preferences for Life-Sustaining Treatments Among Terminally Ill Patients With Cancer.

Siew Tzuh Tang1, Tsang-Wu Liu1, Fur-Hsing Wen1, Chiun Hsu1, Yi-Heng Chang1, Cheng-Shyong Chang1, Yung-Chuan Sung1, Cheng-I Hsieh1, Shou-Yi Chang1, Li Ni Liu1, Ming-Chu Chiang1.   

Abstract

BACKGROUND: Changes over time in preferences for life-sustaining treatments (LSTs) at end of life (EOL) in different patient cohorts are not well established, nor is the concept that LST preferences represent more than 2 groups (uniformly prefer/not prefer).
PURPOSE: The purpose of this study was to explore heterogeneity and changes in patterns of LST preferences among 2 independent cohorts of terminally ill patients with cancer recruited a decade apart.
METHODS: Preferences for cardiopulmonary resuscitation, intensive care unit care, cardiac massage, intubation with mechanical ventilation, intravenous nutritional support, nasogastric tube feeding, and dialysis were surveyed among 2,187 and 2,166 patients in 2003-2004 and 2011-2012, respectively. Patterns and changes in LST preferences were examined by multigroup latent class analysis.
RESULTS: We identified 7 preference classes: uniformly preferring, uniformly rejecting, uniformly uncertain, favoring nutritional support but rejecting other treatments, favoring nutritional support but uncertain about other treatments, favoring intravenous nutritional support with mixed rejection of or uncertainty about other treatments, and preferring LSTs except intubation with mechanical ventilation. Probability of class membership decreased significantly over time for the uniformly preferring class (15.26%-8.71%); remained largely unchanged for the classes of uniformly rejecting (41.71%-40.54%) and uniformly uncertain (9.10%-10.47%), and favoring nutritional support but rejecting (20.68%-21.91%) or uncertain about (7.02%-5.47%) other treatments, and increased significantly for the other 2 classes. The LST preferences of Taiwanese terminally ill patients with cancer are not a homogeneous construct and shifted toward less-aggressive treatments over the past decade.
CONCLUSIONS: Identifying LST preference patterns and tailoring interventions to the unique needs of patients in each LST preference class may lead to the provision of less-aggressive EOL care.
Copyright © 2015 by the National Comprehensive Cancer Network.

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Year:  2015        PMID: 26656520     DOI: 10.6004/jnccn.2015.0179

Source DB:  PubMed          Journal:  J Natl Compr Canc Netw        ISSN: 1540-1405            Impact factor:   11.908


  6 in total

1.  National Policies Fostering Hospice Care Increased Hospice Utilization and Reduced the Invasiveness of End-of-Life Care for Cancer Patients.

Authors:  Yu-Yun Shao; Emily Han-Chung Hsiue; Chih-Hung Hsu; Chien-An Yao; Ho-Min Chen; Mei-Shu Lai; Ann-Lii Cheng
Journal:  Oncologist       Date:  2017-04-13

2.  Lack of Advance Care Planning before Terminal Oncology Intensive Care Unit Admissions.

Authors:  Joseph Heng; Ramy Sedhom; Thomas J Smith
Journal:  J Palliat Med       Date:  2020-01       Impact factor: 2.947

3.  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

4.  Choosing and Doing wisely: triage level I resuscitation a possible new field for starting palliative care and avoiding low-value care - a nationwide matched-pair retrospective cohort study in Taiwan.

Authors:  Chih-Yuan Lin; Yue-Chune Lee
Journal:  BMC Palliat Care       Date:  2020-06-20       Impact factor: 3.234

5.  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

6.  Analysis of Cancer Patient Decision-Making and Health Service Utilization after Enforcement of the Life-Sustaining Treatment Decision-Making Act in Korea.

Authors:  Dalyong Kim; Shin Hye Yoo; Seyoung Seo; Hyun Jung Lee; Min Sun Kim; Sung Joon Shin; Chi-Yeon Lim; Do Yeun Kim; Dae Seog Heo; Chae-Man Lim
Journal:  Cancer Res Treat       Date:  2021-04-12       Impact factor: 4.679

  6 in total

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