Development of a Unified Framework for Evaluating the Quality of Physician Communication in Prostate Cancer Treatment Consultations

BACKGROUND: Physicians often fail to communicate important details about key risks and benefits of treatment in prostate cancer consultations, an information gap that may inhibit effective patient participation in care decisions. We developed a framework to assess detail and personalization of physician communication of key concepts, derived from observations of treatment consultations. METHODS: We recorded and transcribed treatment consultations of 50 men with newly diagnosed prostate cancer across 10 multidisciplinary providers. Using open coding, analysts identified statements related to guideline-endorsed SDM concepts and categorized the level of detail for each topic. Concept-specific hierarchies indicating increasing detail were integrated into a unified framework. We reported the highest observed level for each concept across consultations. RESULTS: Across 19,388 statements, sentences addressing cancer severity (1,016; 5.2%), baseline function (186; 1.0%), oncologic endpoints (343; 1.8%), cancer prognosis (318; 1.6%), life expectancy (111; 0.57%), and treatment-related side effects (952; 4.9%) were extracted. Empirically derived frameworks for evaluating the level of detail and personalization for each concept consistently displayed parallel levels of detail. We created a unified framework, with each level providing more precise, patient-specific risk communication: (0) omission, (1) no quantification, (2) binary assessment, (3) imprecise quantification, (4) specific quantification, and (5) patient-specific estimate. The prevalence of the highest observed level of detail and personalization conveyed varied by concept, ranging from 4% to 84%, 0% to 47%, 0% to 42%, 2% to 8%, 0% to 48%, and 0% to 66% for levels 0 to 5, respectively. CONCLUSIONS: Our framework introduces an empirically derived, structured foundation for characterizing the level of detail and personalization of physician risk communication of key concepts in prostate cancer consultations.

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Publication Details

Journal
Medical Decision Making
Published
2026-07-16
DOI
https://doi.org/10.1177/0272989x261458355
Primary Topic
Patient-Provider Communication in Healthcare
Type
article
Field-Weighted Citation Impact
0.00

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article

Development of a Unified Framework for Evaluating the Quality of Physician Communication in Prostate Cancer Treatment Consultations

Judy Y. Tan, Luu M, Nadine A. Friedrich, Timothy John Daskivich et al.
Medical Decision Making
Patient-Provider Communication in Healthcare
article

Development of a Unified Framework for Evaluating the Quality of Physician Communication in Prostate Cancer Treatment Consultations

Judy Y. Tan, Luu M, Nadine A. Friedrich, Timothy John Daskivich, Alexander Hernández‐Tirado, Paul Kokorowski, Renning Zheng
article en

Abstract

BACKGROUND: Physicians often fail to communicate important details about key risks and benefits of treatment in prostate cancer consultations, an information gap that may inhibit effective patient participation in care decisions. We developed a framework to assess detail and personalization of physician communication of key concepts, derived from observations of treatment consultations. METHODS: We recorded and transcribed treatment consultations of 50 men with newly diagnosed prostate cancer across 10 multidisciplinary providers. Using open coding, analysts identified statements related to guideline-endorsed SDM concepts and categorized the level of detail for each topic. Concept-specific hierarchies indicating increasing detail were integrated into a unified framework. We reported the highest observed level for each concept across consultations. RESULTS: Across 19,388 statements, sentences addressing cancer severity (1,016; 5.2%), baseline function (186; 1.0%), oncologic endpoints (343; 1.8%), cancer prognosis (318; 1.6%), life expectancy (111; 0.57%), and treatment-related side effects (952; 4.9%) were extracted. Empirically derived frameworks for evaluating the level of detail and personalization for each concept consistently displayed parallel levels of detail. We created a unified framework, with each level providing more precise, patient-specific risk communication: (0) omission, (1) no quantification, (2) binary assessment, (3) imprecise quantification, (4) specific quantification, and (5) patient-specific estimate. The prevalence of the highest observed level of detail and personalization conveyed varied by concept, ranging from 4% to 84%, 0% to 47%, 0% to 42%, 2% to 8%, 0% to 48%, and 0% to 66% for levels 0 to 5, respectively. CONCLUSIONS: Our framework introduces an empirically derived, structured foundation for characterizing the level of detail and personalization of physician risk communication of key concepts in prostate cancer consultations.

Medical Decision Making
Cedars-Sinai Medical Center (US), Tsinghua University (CN)
Cedars-Sinai Medical Center
Openalex Percentile: Top 6%
Patient-Provider Communication in Healthcare
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