Variation in Communication of Competing Risks of Mortality in Prostate Cancer Treatment Consultations.


Journal

The Journal of urology
ISSN: 1527-3792
Titre abrégé: J Urol
Pays: United States
ID NLM: 0376374

Informations de publication

Date de publication:
08 2022
Historique:
pubmed: 5 4 2022
medline: 16 7 2022
entrez: 4 4 2022
Statut: ppublish

Résumé

Men with prostate cancer prefer patient-specific, quantitative assessments of longevity in shared decision making. We sought to characterize how physicians communicate the 3 components of competing risks-life expectancy (LE), cancer prognosis and treatment-related survival benefit-in treatment consultations. Conversation related to LE, cancer prognosis and treatment-related survival benefit was identified in transcripts from treatment consultations of 42 men with low- and intermediate-risk disease across 10 multidisciplinary providers. Consensus of qualitative coding by multiple reviewers noted the most detailed mode of communication used to describe each throughout the consultation. Physicians frequently failed to provide patient-specific, quantitative estimates of LE and cancer mortality. LE was omitted in 17% of consultations, expressed as a generalization (eg "long"/"short") in 17%, rough number of years in 31%, probability of mortality/survival at an arbitrary timepoint in 17% and in only 19% as a specific number of years. Cancer mortality was omitted in 24% of consultations, expressed as a generalization in 7%, years of expected life in 2%, probability at no/arbitrary timepoint in 40% and in only 26% as the probability at LE. Treatment-related survival benefit was often omitted; cancer mortality was reported without treatment in 38%, with treatment in 10% and in only 29% both with and without treatment. Physicians achieved "trifecta"-1) quantifying probability of cancer mortality 2) with and without treatment 3) at the patient's LE-in only 14% of consultations. Physicians often fail to adequately quantify competing risks. We recommend the "trifecta" approach, reporting 1) probability of cancer mortality 2) with and without treatment 3) at the patient's LE.

Identifiants

pubmed: 35377775
doi: 10.1097/JU.0000000000002675
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

301-308

Subventions

Organisme : NCI NIH HHS
ID : K08 CA230155
Pays : United States

Commentaires et corrections

Type : CommentIn

Auteurs

Timothy J Daskivich (TJ)

Department of Surgery, Division of Urology, Cedars-Sinai Medical Center, Los Angeles, California.
Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Cedars-Sinai Medical Center, Los Angeles, California.

Rebecca Gale (R)

Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Cedars-Sinai Medical Center, Los Angeles, California.

Michael Luu (M)

Department of Biostatistics, Cedars-Sinai Medical Center, Los Angeles, California.

Aurash Naser-Tavakolian (A)

Department of Surgery, Division of Urology, Cedars-Sinai Medical Center, Los Angeles, California.

Abhi Venkataramana (A)

Department of Urology, University of Southern California, Los Angeles, California.

Dmitry Khodyakov (D)

RAND Institute, Santa Monica, California.

Jennifer T Anger (JT)

Department of Urology, University of California, San Diego, San Diego, California.

Edwin Posadas (E)

Department of Medicine, Division of Medical Oncology, Cedars-Sinai Medical Center, Los Angeles, California.

Howard Sandler (H)

Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, California.

Brennan Spiegel (B)

Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Cedars-Sinai Medical Center, Los Angeles, California.
Department of Medicine, Divisions of Gastroenterology and Health Services Research, Cedars-Sinai Medical Center, Los Angeles, California.

Stephen J Freedland (SJ)

Department of Surgery, Division of Urology, Cedars-Sinai Medical Center, Los Angeles, California.
Section of Urology, Durham VA Medical Center, Durham, North Carolina.

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Classifications MeSH