Literature DB >> 27681991

Disclosing the Uncertainty Associated with Prognostic Estimates in Breast Cancer.

Ellen G Engelhardt1, Arwen H Pieterse1, Paul K J Han2, Nanny van Duijn-Bakker1, Frans Cluitmans3, Ed Maartense4, Monique M E M Bos4, Nir I Weijl5, Cornelis J A Punt6, Patricia Quarles van Ufford-Mannesse7, Harm Sleeboom7, Johanneke E A Portielje7, Koos J M van der Hoeven8, F J Sherida Woei-A-Jin8, Judith R Kroep8, Hanneke C J M de Haes9, Ellen M A Smets9, Anne M Stiggelbout1.   

Abstract

BACKGROUND: Treatment decision making is often guided by evidence-based probabilities, which may be presented to patients during consultations. These probabilities are intrinsically imperfect and embody 2 types of uncertainties: aleatory uncertainty arising from the unpredictability of future events and epistemic uncertainty arising from limitations in the reliability and accuracy of probability estimates. Risk communication experts have recommended disclosing uncertainty. We examined whether uncertainty was discussed during cancer consultations and whether and how patients perceived uncertainty.
METHODS: Consecutive patient consultations with medical oncologists discussing adjuvant treatment in early-stage breast cancer were audiotaped, transcribed, and coded. Patients were interviewed after the consultation to gain insight into their perceptions of uncertainty.
RESULTS: In total, 198 patients were included by 27 oncologists. Uncertainty was disclosed in 49% (97/197) of consultations. In those 97 consultations, 23 allusions to epistemic uncertainty were made and 84 allusions to aleatory uncertainty. Overall, the allusions to the precision of the probabilities were somewhat ambiguous. Interviewed patients mainly referred to aleatory uncertainty if not prompted about epistemic uncertainty. Even when specifically asked about epistemic uncertainty, 1 in 4 utterances referred to aleatory uncertainty. When talking about epistemic uncertainty, many patients contradicted themselves. In addition, 1 in 10 patients seemed not to realize that the probabilities communicated during the consultation are imperfect.
CONCLUSIONS: Uncertainty is conveyed in only half of patient consultations. When uncertainty is communicated, oncologists mainly refer to aleatory uncertainty. This is also the type of uncertainty that most patients perceive and seem comfortable discussing. Given that it is increasingly common for clinicians to discuss outcome probabilities with their patients, guidance on whether and how to best communicate uncertainty is urgently needed.

Entities:  

Keywords:  breast cancer; chemotherapy; decision making; endocrine therapy; risk communication; uncertainty

Mesh:

Year:  2016        PMID: 27681991     DOI: 10.1177/0272989X16670639

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  11 in total

1.  "I need to know what makes somebody tick …": Challenges and Strategies of Implementing Shared Decision-Making in Individualized Oncology.

Authors:  Joschka Haltaufderheide; Sebastian Wäscher; Bernhard Bertlich; Jochen Vollmann; Anke Reinacher-Schick; Jan Schildmann
Journal:  Oncologist       Date:  2018-09-06

2.  Surrogate Decision Makers' Perspectives on Family Members' Prognosis after Intracerebral Hemorrhage.

Authors:  Darin B Zahuranec; Renee R Anspach; Meghan E Roney; Andrea Fuhrel-Forbis; Daniel M Connochie; Emily P Chen; Bradford B Thompson; Panayiotis N Varelas; Lewis B Morgenstern; Angela Fagerlin
Journal:  J Palliat Med       Date:  2018-04-02       Impact factor: 2.947

Review 3.  Emotions in the room: common emotional reactions to discussions of poor prognosis and tools to address them.

Authors:  Heather M Derry; Andrew S Epstein; Wendy G Lichtenthal; Holly G Prigerson
Journal:  Expert Rev Anticancer Ther       Date:  2019-08-10       Impact factor: 4.512

Review 4.  Assessing the quality and communicative aspects of patient decision aids for early-stage breast cancer treatment: a systematic review.

Authors:  Ruben Vromans; Kim Tenfelde; Steffen Pauws; Mies van Eenbergen; Ingeborg Mares-Engelberts; Galina Velikova; Lonneke van de Poll-Franse; Emiel Krahmer
Journal:  Breast Cancer Res Treat       Date:  2019-07-24       Impact factor: 4.872

5.  Communicating uncertainties when disclosing diagnostic test results for (Alzheimer's) dementia in the memory clinic: The ABIDE project.

Authors:  Leonie N C Visser; Sophie A R Pelt; Marleen Kunneman; Femke H Bouwman; Jules J Claus; Kees J Kalisvaart; Liesbeth Hempenius; Marlijn H de Beer; Gerwin Roks; Leo Boelaarts; Mariska Kleijer; Wiesje M van der Flier; Ellen M A Smets; Marij A Hillen
Journal:  Health Expect       Date:  2019-10-22       Impact factor: 3.377

6.  Role of patient preferences in clinical practice guidelines: a multiple methods study using guidelines from oncology as a case.

Authors:  Fania R Gärtner; Johanneke E Portielje; Miranda Langendam; Desiree Hairwassers; Thomas Agoritsas; Brigitte Gijsen; Gerrit-Jan Liefers; Arwen H Pieterse; Anne M Stiggelbout
Journal:  BMJ Open       Date:  2019-12-05       Impact factor: 2.692

7.  Communication about Prognosis during Patient-Initiated Second Opinion Consultations in Advanced Cancer Care: An Observational Qualitative Analysis.

Authors:  N C A van der Velden; M B A van der Kleij; V Lehmann; E M A Smets; J M L Stouthard; I Henselmans; M A Hillen
Journal:  Int J Environ Res Public Health       Date:  2021-05-26       Impact factor: 3.390

8.  Patient perspectives on treatment decision-making under clinical uncertainty: chemotherapy treatment decisions among stage II colon cancer patients.

Authors:  Laura E Brotzman; Danielle M Crookes; Jessica D Austin; Alfred I Neugut; Rachel C Shelton
Journal:  Transl Behav Med       Date:  2021-10-23       Impact factor: 3.626

9.  Risk communication in a patient decision aid for radiotherapy in breast cancer: How to deal with uncertainty?

Authors:  D B Raphael; N S Russell; J M Immink; P G Westhoff; M C Stenfert Kroese; M R Stam; L M van Maurik; H J G D van den Bongard; J H Maduro; M G A Sattler; T van der Weijden; L J Boersma
Journal:  Breast       Date:  2020-04-06       Impact factor: 4.380

10.  Evidence that perceptions of and tolerance for medical ambiguity are distinct constructs: An analysis of nationally representative US data.

Authors:  Nicolle Simonovic; Jennifer M Taber; William M P Klein; Rebecca A Ferrer
Journal:  Health Expect       Date:  2020-02-25       Impact factor: 3.377

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