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 language | English |
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Pages (from-to) | 1135-1142 |
Number of pages | 8 |
Journal | Oncologist |
Volume | 22 |
Issue number | 9 |
DOIs | |
State | Published - 09 2017 |
Bibliographical note
Publisher Copyright:© AlphaMed Press 2017.
Keywords
- Awareness
- Multi-state model
- Neoplasms
- Prognosis
- Prognostic awareness
- Transitions