Effects of comparative information when communicating personalized risks of treatment outcomes: an experimental study

RD Vromans, SC Pauws… - Journal of Risk …, 2023 - Taylor & Francis
Despite great promise of using personalized risks of treatment outcomes during shared
decision-making, patients often experience difficulty evaluating and using them. We …

Determining the development strategy and suited adoption paths for the core competence of shared decision-making tasks through the SAA-NRM approach

SF Yu, HT Wang, MW Chang, TT Cheng… - International Journal of …, 2022 - mdpi.com
Shared decision making (SDM) is an interactive process that involves patients and their
healthcare professionals reaching joint decisions about medical care through negotiation …

Investigating the psychological impact of communicating epistemic uncertainty in personalized and generic risk estimates: an experimental study

RD Vromans, LMA van Goor… - Journal of Risk Research, 2024 - Taylor & Francis
Nowadays, there is an increased availability of online health risk calculators aimed at
providing people with personalized risk estimates of experiencing a medical disease …

A comparison of machine learning models for predicting urinary incontinence in men with localized prostate cancer

H Hasannejadasl, B Osong, I Bermejo… - Frontiers in …, 2023 - frontiersin.org
Introduction Urinary incontinence (UI) is a common side effect of prostate cancer treatment,
but in clinical practice, it is difficult to predict. Machine learning (ML) models have shown …

Use of Persuasive Language in Communication of Risk during Prostate Cancer Treatment Consultations

A Naser-Tavakolian, R Gale, M Luu… - Medical Decision …, 2024 - journals.sagepub.com
Background Physician treatment preference may influence how risks are communicated in
prostate cancer consultations. We identified persuasive language used when describing …

It is, uh, very likely? The impact of prosodic uncertainty cues on the perception and interpretation of spoken verbal probability phrases

RD Vromans, CCM van de Ven, SJW Willems… - Risk …, 2024 - Wiley Online Library
People typically use verbal probability phrases when discussing risks (“It is likely that this
treatment will work”), both in written and spoken communication. When speakers are …

Need for numbers: assessing cancer survivors' needs for personalized and generic statistical information

RD Vromans, S Hommes, FJ Clouth… - BMC Medical Informatics …, 2022 - Springer
Background Statistical information (eg, on long-term survival or side effects) may be
valuable for healthcare providers to share with their patients to facilitate shared decision …

Que retiennent les patients de la consultation d'anesthésie

M Grellier, J Kallout, V Compère - Le Praticien en Anesthésie Réanimation, 2024 - Elsevier
Résumé La consultation pré-anesthésie couvre les objectifs du médecin anesthésiste, les
attentes du patient et les aspects réglementaires. L'information délivrée est primordiale pour …

[HTML][HTML] Ethical dilemmas surrounding patients´“unwise” treatment preferences and suboptimal decision quality: case series of three renal cell carcinoma patients who …

K Al Rumaihi, N Younes, IA Khalil… - The Pan African …, 2024 - panafrican-med-journal.com
Patient engagement and shared decision-making (SDM) between patients and clinicians is
the foundation of patient-centered care. It aims to reach a treatment option that fits the …

Helping Cancer Patients to Choose the Best Treatment: Towards Automated Data-Driven and Personalized Information Presentation of Cancer Treatment Options

E Krahmer, F Clouth, S Hommes, R Vromans… - Commit2Data …, 2024 - drops.dagstuhl.de
When a person is diagnosed with cancer, difficult decisions about treatments need to be
made. In this chapter, we describe an interdisciplinary research project which aims to …