Literature DB >> 22791627

Risk communication and prostate cancer: identifying which summary statistics are best understood by men.

Dragan Ilic1, Kerry Murphy, Sally Green.   

Abstract

The format in which risk is communicated influences how patients make health care decisions. The same statistical information may be summarized differently according to relative risk reduction, absolute risk reduction, number needed to treat, or odds ratio. A total of 76 men participated in focus groups exploring their understanding of information about prostate cancer treatments when framed across these different formats. Using thematic analysis, it was identified that the study participant best understood information when outcomes were framed as an absolute risk reduction and in a positive frame. Patient education materials about prostate cancer treatment options should be reported as an increase in probability of survivorship rather than decrease in risk of mortality and incorporate impact of treatment on patient-centered quality-of-life outcomes.

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Year:  2012        PMID: 22791627     DOI: 10.1177/1557988312453616

Source DB:  PubMed          Journal:  Am J Mens Health        ISSN: 1557-9883


  4 in total

Review 1.  Risk as an attribute in discrete choice experiments: a systematic review of the literature.

Authors:  Mark Harrison; Dan Rigby; Caroline Vass; Terry Flynn; Jordan Louviere; Katherine Payne
Journal:  Patient       Date:  2014       Impact factor: 3.883

2.  In 2124, half of all men can count on developing prostate cancer.

Authors:  P A Pollock; A Ludgate; R J Wassersug
Journal:  Curr Oncol       Date:  2015-02       Impact factor: 3.677

Review 3.  Prostate Cancer Patient Perspectives on the Use of Information in Treatment Decision-Making: A Systematic Review and Qualitative Meta-synthesis.

Authors:  Sujane Kandasamy; Ahmad Firas Khalid; Umair Majid; Meredith Vanstone
Journal:  Ont Health Technol Assess Ser       Date:  2017-05-01

4.  Patient-physician communication about early stage prostate cancer: analysis of overall visit structure.

Authors:  Stephen G Henry; Danielle Czarnecki; Valerie C Kahn; Wen-Ying Sylvia Chou; Angela Fagerlin; Peter A Ubel; David R Rovner; Stewart C Alexander; Sara J Knight; Margaret Holmes-Rovner
Journal:  Health Expect       Date:  2013-12-22       Impact factor: 3.377

  4 in total

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