Literature DB >> 10854468

Risk communication in clinical practice: putting cancer in context.

L M Schwartz1, S Woloshin, H G Welch.   

Abstract

CONTEXT: Clinicians are increasingly urged-even mandated-to help patients make informed medical decisions by paying more attention to risk counseling. For many, the role of risk counseling is new and unfamiliar. This effort is made more difficult given the practical constraints created by 15-minute visits and competing demands (e.g., patient's chief complaint and institutional needs).
OBJECTIVE: We detail a three-part approach for improving risk communication, acknowledging the role of clinicians, patients, and other communicators (i.e., media or public health agencies). PROPOSED APPROACH: Office-based tools to help clinicians do more. We suggest two ways to help make up-to-date estimates of disease risk and treatment benefit easily available during office visits. We propose the development of a comprehensive population database about disease risk and treatment benefit to be created and maintained by the federal government. Educating patients. We propose "Understanding Numbers in Health" a tutorial that reviews basic concepts of probability and their application to medical studies to help people become better critical readers of health information. Guidance for communicators. Finally, we propose a writer's guide to risk communication: a set of principles to help health communicators present data to the public clearly and objectively.
CONCLUSION: In addition to tools to help clinicians better communicate risk information, serious efforts to improve risk communication must go beyond the clinic. Efforts that help the public to better interpret health risk information and guide communicators to better present such information are a place to start.

Entities:  

Mesh:

Year:  1999        PMID: 10854468     DOI: 10.1093/oxfordjournals.jncimonographs.a024187

Source DB:  PubMed          Journal:  J Natl Cancer Inst Monogr        ISSN: 1052-6773


  27 in total

Review 1.  Explaining risks: turning numerical data into meaningful pictures.

Authors:  Adrian Edwards; Glyn Elwyn; Al Mulley
Journal:  BMJ       Date:  2002-04-06

2.  Randomized study of placebo and framing information in direct-to-consumer print advertisements for prescription drugs.

Authors:  Amie C O'Donoghue; Helen W Sullivan; Kathryn J Aikin
Journal:  Ann Behav Med       Date:  2014-12

3.  Weakness in numbers. The challenge of numeracy in health care.

Authors:  Victor M Montori; Russell L Rothman
Journal:  J Gen Intern Med       Date:  2005-11       Impact factor: 5.128

4.  Women's preferences for information and complication seriousness ratings related to elective medical procedures.

Authors:  P K Coleman; D C Reardon; M B Lee
Journal:  J Med Ethics       Date:  2006-08       Impact factor: 2.903

Review 5.  The role of Internet resources in clinical oncology: promises and challenges.

Authors:  Bradford W Hesse; Alexandra J Greenberg; Lila J Finney Rutten
Journal:  Nat Rev Clin Oncol       Date:  2016-06-07       Impact factor: 66.675

6.  A randomized trial of three videos that differ in the framing of information about mammography in women 40 to 49 years old.

Authors:  Carmen L Lewis; Michael P Pignone; Stacey L Sheridan; Stephen M Downs; Linda S Kinsinger
Journal:  J Gen Intern Med       Date:  2003-11       Impact factor: 5.128

7.  Communication and decision making in cancer care: setting research priorities for decision support/patients' decision aids.

Authors:  Amber E Barnato; Hilary A Llewellyn-Thomas; Ellen M Peters; Laura Siminoff; E Dale Collins; Michael J Barry
Journal:  Med Decis Making       Date:  2007-09-14       Impact factor: 2.583

8.  Informatics in radiology: comparison of logistic regression and artificial neural network models in breast cancer risk estimation.

Authors:  Turgay Ayer; Jagpreet Chhatwal; Oguzhan Alagoz; Charles E Kahn; Ryan W Woods; Elizabeth S Burnside
Journal:  Radiographics       Date:  2009-11-09       Impact factor: 5.333

9.  Lifetime risk of ESRD.

Authors:  Tanvir Chowdhury Turin; Marcello Tonelli; Braden J Manns; Sofia B Ahmed; Pietro Ravani; Matthew James; Brenda R Hemmelgarn
Journal:  J Am Soc Nephrol       Date:  2012-08-16       Impact factor: 10.121

10.  Melanoma high-risk families' perceived health care provider risk communication.

Authors:  Lois J Loescher; Janice D Crist; Lee Cranmer; Clara Curiel-Lewandrowski; James A Warneke
Journal:  J Cancer Educ       Date:  2009       Impact factor: 2.037

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