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Transitions in Prognostic Awareness Among Terminally Ill Cancer Patients in Their Last 6 Months of Life Examined by Multi-State Markov Modeling.
Hsiu Chen, Chen; Wen, Fur-Hsing; Hou, Ming-Mo; Hsieh, Chia-Hsun; Chou, Wen-Chi; Chen, Jen-Shi; Chang, Wen-Cheng; Tang, Siew Tzuh.
Afiliação
  • Hsiu Chen C; Department of Nursing, University of Kang Ning, Taipei and Graduate Institute of Clinical Medical Science, Chang Gung University, Tao-Yuan, Taiwan.
  • Wen FH; Department of International Business, Soochow University, Taipei, Taiwan.
  • Hou MM; Division of Hematology-Oncology, Chang Gung Memorial Hospital, Tao-Yuan, Taiwan, and School of Medicine, Chang Gung University College of Medicine, Tao-Yuan, Taiwan.
  • Hsieh CH; Division of Hematology-Oncology, Chang Gung Memorial Hospital, Tao-Yuan, Taiwan, and School of Medicine, Chang Gung University College of Medicine, Tao-Yuan, Taiwan.
  • Chou WC; Division of Hematology-Oncology, Chang Gung Memorial Hospital, Tao-Yuan, Taiwan, and School of Medicine, Chang Gung University College of Medicine, Tao-Yuan, Taiwan.
  • Chen JS; Division of Hematology-Oncology, Chang Gung Memorial Hospital, Tao-Yuan, Taiwan, and School of Medicine, Chang Gung University College of Medicine, Tao-Yuan, Taiwan.
  • Chang WC; Division of Hematology-Oncology, Chang Gung Memorial Hospital, Tao-Yuan, Taiwan, and School of Medicine, Chang Gung University College of Medicine, Tao-Yuan, Taiwan.
  • Tang ST; Department of Nursing, Chang Gung Memorial Hospital at Kaohsiung, and Division of Hematology-Oncology, Chang Gung Memorial Hospital at Linkou sttang@mail.cgu.edu.tw.
Oncologist ; 22(9): 1135-1142, 2017 09.
Article em En | MEDLINE | ID: mdl-28684551
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Assistência Terminal / Doente Terminal / Tomada de Decisões / Preferência do Paciente / Neoplasias Tipo de estudo: Health_economic_evaluation / Observational_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged País como assunto: Asia Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Assistência Terminal / Doente Terminal / Tomada de Decisões / Preferência do Paciente / Neoplasias Tipo de estudo: Health_economic_evaluation / Observational_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged País como assunto: Asia Idioma: En Ano de publicação: 2017 Tipo de documento: Article