Transitions in prognostic awareness among terminally ill cancer patients in their last 6 months of life examined bymulti-state markov modeling

Chen Hsiu Chen, Fur Hsing Wen, Ming Mo Hou, Chia Hsun Hsieh, Wen Chi Chou, Jen Shi Chen, Wen Cheng Chang, Siew Tzuh Tang*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

24 Scopus citations

Abstract

Background. Developing accurate prognostic awareness, a cornerstone of preference-based end-of-life (EOL) care decisionmaking, is a dynamic process involving more prognosticawareness states than knowing or not knowing. Understanding the transition probabilities and time spent in each prognosticawareness state can help clinicians identify trigger points for facilitating transitions toward accurate prognostic awareness. We examined transition probabilities in distinct prognostic-awareness states between consecutive time points in 247 cancer patients’ last 6 months and estimated the time spent in each state. Methods. Prognostic awareness was categorized into four states: (a) unknown and not wanting to know, state 1; (b) unknown but wanting to know, state 2; (c) inaccurate awareness, state 3; and (d) accurate awareness, state 4. Transitional probabilities were examined by multistate Markov modeling. Results. Initially, 59.5% of patients had accurate prognostic awareness, whereas the probabilities of being in states 1-3 were 8.1%, 17.4%, and 15.0%, respectively. Patients’ prognostic awareness generally remained unchanged (probabilities of remaining in the same state: 45.5%-92.9%). If prognostic awareness changed, it tended to shift toward higher prognosticawareness states (probabilities of shifting to state 4 were 23.2%-36.6% for patients initially in states 1-3, followed by probabilities of shifting to state 3 for those in states 1 and 2 [9.8%-10.1%]). Patients were estimated to spend 1.29, 0.42, 0.68, and 3.61 months in states 1-4, respectively, in their last 6 months. Conclusion. Terminally ill cancer patients’ prognostic awareness generally remained unchanged, with a tendency to become more aware of their prognosis. Health care professionals should facilitate patients’ transitions toward accurate prognostic awareness in a timely manner to promote preference-based EOL decisions.

Original languageEnglish
Pages (from-to)1135-1142
Number of pages8
JournalOncologist
Volume22
Issue number9
DOIs
StatePublished - 09 2017

Bibliographical note

Publisher Copyright:
© AlphaMed Press 2017.

Keywords

  • Awareness
  • Multi-state model
  • Neoplasms
  • Prognosis
  • Prognostic awareness
  • Transitions

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