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Journal of Cancer Research and Clinical Oncology
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Cancer patients’ perspective on shared decision-making and decision aids in oncology

Authors: Lena Josfeld; Christian Keinki; Carolina Pammer; Bijan Zomorodbakhsch; Jutta Hübner;

Cancer patients’ perspective on shared decision-making and decision aids in oncology

Abstract

Abstract Purpose Shared Decision-Making (SDM) enhances patients’ satisfaction with a decision, which in turn increases compliance with and adherence to cancer treatment. SDM requires a good patient-clinician relationship and communication, patients need information matching their individual needs, and clinicians need support on how to best involve the individual patient in the decision-making process. This survey assessed oncological patients’ information needs and satisfaction, their preferred information in patient decision aids (PDAs), and their preferred way of making decisions regarding their treatment. Methods Questionnaires were distributed among attendees of a lecture program on complementary and alternative medicine in oncology of which 220 oncological patients participated. Results Participants reported a generally high need for information—correlating with level of education—but also felt overwhelmed by the amount. The latter proved particularly important during consultation. Use of PDAs increased satisfaction with given information but occurred in less than a third of the cases. Most requested contents for PDAs were pros and cons of treatment options and lists of questions to ask. The vast majority of patients preferred SDM to deciding alone. None wanted their physician to decide for them. Conclusions There is a high demand for SDM but a lack of conclusive evidence on the specific information needs of different types of patients. Conversation between patients and clinicians needs encouragement and support. PDAs are designed for this purpose and have the potential to increase patient satisfaction. Their scarce use in consultations calls for easier access to and better information on PDAs for clinicians.

Country
Germany
Keywords

Adult, Aged, 80 and over, Male, Physician-Patient Relations, Communication, Decision Making, Middle Aged, Medical Oncology, Decision Support Techniques, Surveys and Questionnaires [MeSH] ; Physician-Patient Relations [MeSH] ; Decision Making/physiology [MeSH] ; Aged, 80 and over [MeSH] ; Complementary and alternative medicine ; Aged [MeSH] ; Patient satisfaction ; Patient decision aids ; Communication [MeSH] ; Patient Satisfaction [MeSH] ; Decision Support Techniques [MeSH] ; Male [MeSH] ; Neoplasms/psychology [MeSH] ; Patient-clinician communication ; Neoplasms/therapy [MeSH] ; Patient Participation/psychology [MeSH] ; Oncological patients ; Patient Education as Topic/methods [MeSH] ; Shared decision-making ; Female [MeSH] ; Original Article – Cancer Research ; Needs Assessment [MeSH] ; Adult [MeSH] ; Humans [MeSH] ; Medical Oncology/methods [MeSH] ; Middle Aged [MeSH] ; Patient Participation/methods [MeSH], Patient Education as Topic, Patient Satisfaction, Neoplasms, Surveys and Questionnaires, Humans, Female, Patient Participation, Original Article – Cancer Research, Needs Assessment, Aged

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
83
Top 1%
Top 10%
Top 1%
Green
hybrid
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Cancer Research