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Cancer Survival Analysis01:21

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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  11. Effects Of Prognostic Communication Strategies On Emotions, Coping, And Appreciation Of Consultations: An Experimental Study In Advanced Cancer.
  1. Home
  3. Research Domains
  5. Language, Communication And Culture
  7. Cultural Studies
  9. Postcolonial Studies
  11. Effects Of Prognostic Communication Strategies On Emotions, Coping, And Appreciation Of Consultations: An Experimental Study In Advanced Cancer.

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Effects of prognostic communication strategies on emotions, coping, and appreciation of consultations: An experimental study in advanced cancer.

Naomi C A van der Velden1,2,3, Ellen M A Smets1,2,3, Liesbeth M van Vliet4

  • 1Department of Medical Psychology, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands.

Palliative & Supportive Care
|March 27, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Disclosing prognostic information, especially using numerical estimates, enhances patient satisfaction in advanced cancer care. Oncologists should provide precise prognostic details, considering individual patient preferences and characteristics.

Keywords:
Prognosiscommunicationemotionsneoplasms

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Area of Science:

  • Oncology
  • Medical Communication
  • Psychosocial Oncology

Background:

  • Effective communication of prognosis is crucial in advanced cancer care.
  • Uncertainty exists regarding the impact of different prognostic communication strategies on patient outcomes.
  • Patient emotions, coping mechanisms, and consultation appreciation are key indicators of care quality.

Purpose of the Study:

  • To investigate the effects of various prognostic communication strategies on patient emotions, coping, and consultation appreciation.
  • To compare different types of prognostic disclosure (disclosure, unpredictability, non-disclosure) and content variations (survival scenarios, numerical vs. word-based estimates).
  • To explore the moderating role of individual patient characteristics on these effects.

Main Methods:

patient satisfaction
physician–patient relations
  • Experimental study involving 1036 disease-naive individuals.
  • Participants watched scripted oncological consultation videos varying in prognostic communication strategies.
  • Surveys assessed emotions, coping, and consultation appreciation before and after video exposure.

Main Results:

  • Prognostic disclosure led to greater satisfaction and less uncertainty compared to communication of unpredictability.
  • Numerical estimates of prognosis were more appreciated and desirable than word-based estimates.
  • No significant effects were found for different survival scenarios; emotions and coping remained unaffected by communication strategies.

Conclusions:

  • Prognostic disclosure, particularly with numerical estimates, does not induce more negative emotions and is better appreciated.
  • Oncologists should not hesitate to provide precise prognostic information due to fear of patient harm.
  • Tailoring communication to individual patient preferences and characteristics is essential for optimal care.