Literature DB >> 23756054

Latent class analysis identifies three subtypes of aggressive end-of-life care: a population-based study in Taiwan.

Mei-Ling Chen1, Yun-Yi Chen, Siew Tzuh Tang.   

Abstract

The aggressiveness of end-of-life (EOL) cancer care has often been analysed by the occurrence of several indicators, separately or aggregately. Whether aggressive EOL cancer care has different subtypes is unknown. This study sought to identify distinct subtypes of aggressive EOL care based on usage patterns of aggressive EOL-care indicators and to explore demographic, disease and treatment factors associated with the identified subtypes. This retrospective study linked data from 2001 to 2006 from three Taiwanese databases: National Registration of Death Database, Cancer Registration System and National Health Insurance claims database. Adult cancer patients (N=203,642) who died in 2001-2006 were selected. For these cancer patients' last month of life, we analysed eight indicators of aggressive EOL care: receiving chemotherapy, >1 emergency room visit, >1 hospitalisation, hospitalisation for >14 days, intensive care unit admission, received cardiopulmonary resuscitation, received intubation and received mechanical ventilation. Subtypes of aggressive EOL care were identified by latent class analysis. Among the study population, only 22.3% were treated by medical oncologists. Based on their profiles of EOL care, deceased cancer patients were classified into three subgroups: 'not aggressive' (45%), 'intent to sustain life' (33%) and 'symptom crisis' group (22%). Patients assigned to the 'intent to sustain life' group were less likely to have metastatic disease and to receive hospice care in the last year of life, but more likely to be cared for by non-medical oncologists, to die within 2 months after diagnosis and to die in hospital. EOL cancer care may be improved by understanding factors related to different subtypes of aggressive EOL care.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aggressiveness of care; End-of-life care; Latent class analysis; Quality of care

Mesh:

Year:  2013        PMID: 23756054     DOI: 10.1016/j.ejca.2013.05.005

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  4 in total

1.  Determinants for aggressive end-of-life care for oral cancer patients: a population-based study in an Asian country.

Authors:  Ting-Shou Chang; Yu-Chieh Su; Ching-Chih Lee
Journal:  Medicine (Baltimore)       Date:  2015-01       Impact factor: 1.889

2.  Patterns of comorbidities in hospitalised cancer survivors for palliative care and associated in-hospital mortality risk: A latent class analysis of a statewide all-inclusive inpatient data.

Authors:  Lan Luo; Wei Du; Shanley Chong; Huibo Ji; Nicholas Glasgow
Journal:  Palliat Med       Date:  2019-07-12       Impact factor: 4.762

Review 3.  Conceptualizing and Counting Discretionary Utilization in the Final 100 Days of Life: A Scoping Review.

Authors:  Paul R Duberstein; Michael Chen; Michael Hoerger; Ronald M Epstein; Laura M Perry; Sule Yilmaz; Fahad Saeed; Supriya G Mohile; Sally A Norton
Journal:  J Pain Symptom Manage       Date:  2019-10-19       Impact factor: 3.612

4.  Emergency Department Referral for Hospice and Palliative Care Differs among Patients with Different End-of-Life Trajectories: A Retrospective Cohort Study.

Authors:  Victor Wei-Che Shen; Che Yang; Li-Ling Lai; Ying-Ju Chen; Hsien-Hao Huang; Shih-Hung Tsai; Teh-Fu Hsu; David Hung-Tsang Yen
Journal:  Int J Environ Res Public Health       Date:  2021-06-10       Impact factor: 3.390

  4 in total

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