Communicative aspects of decision aids for localized prostate cancer treatment - A systematic review.

Urol Oncol

Department of Communication and Cognition, Tilburg University, Tilburg, the Netherlands; Tilburg Center for Cognition and Communication, Tilburg University, Tilburg, the Netherlands.

Published: July 2019

Context: Despite increasing interest in the development and use of decision aids (DAs) for patients with localized prostate cancer (LPC), little attention has been paid to communicative aspects (CAs) of such tools.

Objective: To identify DAs for LPC treatment, and review these tools for various CAs.

Materials And Methods: DAs were identified through both published literature (MEDLINE, Embase, CINAHL, CENTRAL, and PsycINFO; 1990-2018) and online sources, in compliance with the Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines. Identified DAs were reviewed for the International Patient Decision Aid Standards criteria, and analyzed on CAs, including information presentation, personalization, interaction, information control, accessibility, suitability, and source of information. Nineteen DAs were identified.

Results: International Patient Decision Aid Standards scores varied greatly among DAs. Crucially, substantial variations in use of CAs by DAs were identified: (1) few DAs used visual aids to communicate statistical information, (2) none were personalized in terms of outcome probabilities or mode of communication, (3) a minority used interactive methods to elicit patients' values and preferences, (4) most included biased cross tables to compare treatment options, and (5) issues were observed in suitability and accessibility that could hinder implementation in clinical practice.

Conclusions: Our review suggests that DAs for LPC treatment could be further improved by adding CAs such as personalized outcome predictions and interaction methods to the DAs. Clinicians who are using or developing such tools might therefore consider these CAs in order to enhance patient participation in treatment decision-making.

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http://dx.doi.org/10.1016/j.urolonc.2019.04.005DOI Listing

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