Literature DB >> 28684551

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

Chen Hsiu Chen1, Fur-Hsing Wen2, Ming-Mo Hou3, Chia-Hsun Hsieh3, Wen-Chi Chou3, Jen-Shi Chen3, Wen-Cheng Chang3, Siew Tzuh Tang4.   

Abstract

BACKGROUND: Developing accurate prognostic awareness, a cornerstone of preference-based end-of-life (EOL) care decision-making, is a dynamic process involving more prognostic-awareness states than knowing or not knowing. Understanding the transition probabilities and time spent in each prognostic-awareness 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 prognostic-awareness 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. IMPLICATIONS FOR PRACTICE: Terminally ill Taiwanese cancer patients' prognostic awareness generally remained stable, with a tendency toward developing higher states of awareness. Health care professionals should appropriately assess patients' readiness for prognostic information and respect patients' reluctance to confront their poor prognosis if they are not ready to know, but sensitively coach them to cultivate their accurate prognostic awareness, provide desired and understandable prognostic information for those who are ready to know, and give direct and honest prognostic information to clarify any misunderstandings for those with inaccurate awareness, thus ensuring that they develop accurate and realistic prognostic knowledge in time to make end-of-life care decisions. © AlphaMed Press 2017.

Entities:  

Keywords:  Awareness; Multi‐state model; Neoplasms; Prognosis; Prognostic awareness; Transitions

Mesh:

Year:  2017        PMID: 28684551      PMCID: PMC5599205          DOI: 10.1634/theoncologist.2017-0068

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  48 in total

1.  Congruence of knowledge, experiences, and preferences for disclosure of diagnosis and prognosis between terminally-ill cancer patients and their family caregivers in Taiwan.

Authors:  Siew Tzuh Tang; Tsang-Wu Liu; Mei-Shu Lai; Li-Ni Liu; Chen-Hsiu Chen; Shin-Lan Koong
Journal:  Cancer Invest       Date:  2006 Jun-Jul       Impact factor: 2.176

2.  Failure to engage hospitalized elderly patients and their families in advance care planning.

Authors:  Daren K Heyland; Doris Barwich; Deb Pichora; Peter Dodek; Francois Lamontagne; John J You; Carolyn Tayler; Pat Porterfield; Tasnim Sinuff; Jessica Simon
Journal:  JAMA Intern Med       Date:  2013-05-13       Impact factor: 21.873

3.  Longitudinal perceptions of prognosis and goals of therapy in patients with metastatic non-small-cell lung cancer: results of a randomized study of early palliative care.

Authors:  Jennifer S Temel; Joseph A Greer; Sonal Admane; Emily R Gallagher; Vicki A Jackson; Thomas J Lynch; Inga T Lennes; Connie M Dahlin; William F Pirl
Journal:  J Clin Oncol       Date:  2011-05-09       Impact factor: 44.544

4.  Patient beliefs that chemotherapy may be curative and care received at the end of life among patients with metastatic lung and colorectal cancer.

Authors:  Jennifer W Mack; Anne Walling; Sydney Dy; Anna Liza M Antonio; John Adams; Nancy L Keating; Diana Tisnado
Journal:  Cancer       Date:  2015-02-11       Impact factor: 6.860

5.  Associations of prognostic awareness/acceptance with psychological distress, existential suffering, and quality of life in terminally ill cancer patients' last year of life.

Authors:  Siew Tzuh Tang; Wen-Cheng Chang; Jen-Shi Chen; Wen-Chi Chou; Chia-Hsun Hsieh; Chen H Chen
Journal:  Psychooncology       Date:  2015-08-17       Impact factor: 3.894

6.  Do rates of mental disorders and existential distress among advanced stage cancer patients increase as death approaches?

Authors:  Wendy G Lichtenthal; Matthew Nilsson; Baohui Zhang; Elizabeth D Trice; David W Kissane; William Breitbart; Holly G Prigerson
Journal:  Psychooncology       Date:  2009-01       Impact factor: 3.894

7.  Associations between accurate prognostic understanding and end-of-life care preferences and its correlates among Taiwanese terminally ill cancer patients surveyed in 2011-2012.

Authors:  Siew Tzuh Tang; Tsang-Wu Liu; Jyh-Ming Chow; Chang-Fang Chiu; Ruey-Kuen Hsieh; Chen H Chen; Li Ni Liu; Wei-Lien Feng
Journal:  Psychooncology       Date:  2014-01-28       Impact factor: 3.894

8.  What are terminally ill cancer patients told about their expected deaths? A study of cancer physicians' self-reports of prognosis disclosure.

Authors:  Christopher K Daugherty; Fay J Hlubocky
Journal:  J Clin Oncol       Date:  2008-11-24       Impact factor: 44.544

9.  The cultivation of prognostic awareness through the provision of early palliative care in the ambulatory setting: a communication guide.

Authors:  Vicki A Jackson; Juliet Jacobsen; Joseph A Greer; William F Pirl; Jennifer S Temel; Anthony L Back
Journal:  J Palliat Med       Date:  2013-06-20       Impact factor: 2.947

10.  American Society of Clinical Oncology provisional clinical opinion: the integration of palliative care into standard oncology care.

Authors:  Thomas J Smith; Sarah Temin; Erin R Alesi; Amy P Abernethy; Tracy A Balboni; Ethan M Basch; Betty R Ferrell; Matt Loscalzo; Diane E Meier; Judith A Paice; Jeffrey M Peppercorn; Mark Somerfield; Ellen Stovall; Jamie H Von Roenn
Journal:  J Clin Oncol       Date:  2012-02-06       Impact factor: 44.544

View more
  6 in total

1.  Associations of prognostic-awareness-transition patterns with end-of-life care in cancer patients' last month.

Authors:  Chen Hsiu Chen; Fur-Hsing Wen; Wen-Chi Chou; Jen-Shi Chen; Wen-Cheng Chang; Chia-Hsun Hsieh; Siew Tzuh Tang
Journal:  Support Care Cancer       Date:  2022-04-08       Impact factor: 3.603

Review 2.  Prognostic disclosure in oncology - current communication models: a scoping review.

Authors:  Julie Rachel Bloom; Deborah Catherine Marshall; Carlos Rodriguez-Russo; Emily Martin; Joshua Adam Jones; Kavita Vyas Dharmarajan
Journal:  BMJ Support Palliat Care       Date:  2022-02-10       Impact factor: 4.633

3.  The Effect of Prognostic Communication on Patient Outcomes in Palliative Cancer Care: a Systematic Review.

Authors:  Naomi C A van der Velden; Maartje C Meijers; Paul K J Han; Hanneke W M van Laarhoven; Ellen M A Smets; Inge Henselmans
Journal:  Curr Treat Options Oncol       Date:  2020-04-23

4.  Factors associated with distinct prognostic-awareness-transition patterns over cancer patients' last 6 months of life.

Authors:  Chen Hsiu Chen; Fur-Hsing Wen; Wen-Chi Chou; Jen-Shi Chen; Wen-Cheng Chang; Chia-Hsun Hsieh; Siew Tzuh Tang
Journal:  Cancer Med       Date:  2021-09-30       Impact factor: 4.452

5.  Characteristics of patients with advanced cancer preferring not to know prognosis: a multicenter survey study.

Authors:  Naomi C A van der Velden; Hanneke W M van Laarhoven; Sjaak A Burgers; Lizza E L Hendriks; Filip Y F L de Vos; Anne-Marie C Dingemans; Joost Jansen; Jan-Maarten W van Haarst; Joyce Dits; Ellen Ma Smets; Inge Henselmans
Journal:  BMC Cancer       Date:  2022-09-01       Impact factor: 4.638

Review 6.  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
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.