Literature DB >> 15117387

Patient-focussed decision-making in early-stage prostate cancer: insights from a cognitively based decision aid.

Deb Feldman-Stewart1, Michael D Brundage, Lori Van Manen, Ola Svenson.   

Abstract

PURPOSE: To study the cognitive processes of early-stage prostate cancer patients as they determined which treatment they preferred, using our cognitively based decision aid.
METHOD: The aid was a one-to-one interview that included the structured presentation of information, listing exercises in which the patient identified attributes important to his decision, and trade-off exercises to help him weigh and integrate those attributes together. At various points of the interview, patients identified the attributes they felt were important to their decision, rated their treatment options and completed standardized assessments relating to their decision. In addition, patients participated in a follow-up interview at the time they made their actual treatment decision and again 3 months later.
RESULTS: Sixty of 70 (86%) of the invited patients participated in the study. Participating patients identified a median of four important attributes (range 1-10); 36 different attributes were identified at some point in the interview by the group. During the interview, 78% of patients changed which attributes they considered important, and 72% changed their treatment ratings. Stability of treatment choice after the interview and lack of regret after the decision were each positively associated with increasing differentiation between treatment options over time.
CONCLUSIONS: The decision process appears to be dynamic for the patients with great variability across patients in what is important to the decision. Increasing stability of choice and lack of regret appear to be related positively to increasing difference over time in how attractive the preferred option is over its closest competitor, rather than to the size of the difference at any one point in time.

Entities:  

Mesh:

Year:  2004        PMID: 15117387      PMCID: PMC5060228          DOI: 10.1111/j.1369-7625.2004.00271.x

Source DB:  PubMed          Journal:  Health Expect        ISSN: 1369-6513            Impact factor:   3.377


  16 in total

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Authors:  A M O'Connor
Journal:  Med Decis Making       Date:  1999 Oct-Dec       Impact factor: 2.583

Review 2.  Decision aids for patients considering options affecting cancer outcomes: evidence of efficacy and policy implications.

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Journal:  Science       Date:  1974-09-27       Impact factor: 47.728

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Authors:  L F Degner; J A Sloan; P Venkatesh
Journal:  Can J Nurs Res       Date:  1997

5.  The information required by patients with early-stage prostate cancer in choosing their treatment.

Authors:  D Feldman-Stewart; M D Brundage; J C Nickel; W J MacKillop
Journal:  BJU Int       Date:  2001-02       Impact factor: 5.588

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Journal:  Acta Psychol (Amst)       Date:  1994-11

7.  A decision analysis of alternative treatment strategies for clinically localized prostate cancer.

Authors:  P C Walsh
Journal:  J Urol       Date:  1993-10       Impact factor: 7.450

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Journal:  J Health Serv Res Policy       Date:  1998-04

9.  A decision analysis for treatment of clinically localized prostate cancer.

Authors:  M W Kattan; M E Cowen; B J Miles
Journal:  J Gen Intern Med       Date:  1997-05       Impact factor: 5.128

10.  Narrowing the options: the process of deciding on prostate cancer treatment.

Authors:  M E O'Rourke
Journal:  Cancer Invest       Date:  1999       Impact factor: 2.176

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  25 in total

Review 1.  The importance and complexity of regret in the measurement of 'good' decisions: a systematic review and a content analysis of existing assessment instruments.

Authors:  Natalie Joseph-Williams; Adrian Edwards; Glyn Elwyn
Journal:  Health Expect       Date:  2010-09-23       Impact factor: 3.377

2.  Why values elicitation techniques enable people to make informed decisions about cancer trial participation.

Authors:  Purva Abhyankar; Hilary L Bekker; Barbara A Summers; Galina Velikova
Journal:  Health Expect       Date:  2011-03       Impact factor: 3.377

3.  Optimizing care and outcomes of patients with muscle-invasive bladder cancer.

Authors:  Christopher M Booth
Journal:  Can Urol Assoc J       Date:  2013 Sep-Oct       Impact factor: 1.862

Review 4.  Treatment options for localized prostate cancer.

Authors:  Mira Keyes; Juanita Crook; Gerard Morton; Eric Vigneault; Nawaid Usmani; W James Morris
Journal:  Can Fam Physician       Date:  2013-12       Impact factor: 3.275

5.  Factors influencing patients' acceptance and adherence to active surveillance.

Authors:  David F Penson
Journal:  J Natl Cancer Inst Monogr       Date:  2012-12

6.  Making their decisions for prostate cancer treatment: Patients' experiences and preferences related to process.

Authors:  Deb Feldman-Stewart; Christine Tong; Michael Brundage; Jackie Bender; John Robinson
Journal:  Can Urol Assoc J       Date:  2018-05-28       Impact factor: 1.862

7.  Social and clinical predictors of prostate cancer treatment decisions among men in South Carolina.

Authors:  Sara E Wagner; Bettina F Drake; Keith Elder; James R Hébert
Journal:  Cancer Causes Control       Date:  2011-08-30       Impact factor: 2.506

8.  "It's not like I can change my mind later": reversibility and decision timing in prostate cancer treatment decision-making.

Authors:  Nora B Henrikson; William J Ellis; Donna L Berry
Journal:  Patient Educ Couns       Date:  2009-04-21

9.  The applications of PROs in clinical practice: what are they, do they work, and why?

Authors:  Joanne Greenhalgh
Journal:  Qual Life Res       Date:  2008-12-23       Impact factor: 4.147

10.  Contemporary prevalence of pretreatment urinary, sexual, hormonal, and bowel dysfunction: Defining the population at risk for harms of prostate cancer treatment.

Authors:  Matthew J Resnick; Daniel A Barocas; Alicia K Morgans; Sharon E Phillips; Vivien W Chen; Matthew R Cooperberg; Michael Goodman; Sheldon Greenfield; Ann S Hamilton; Karen E Hoffman; Sherri H Kaplan; Lisa E Paddock; Antoinette M Stroup; Xiao-Cheng Wu; Tatsuki Koyama; David F Penson
Journal:  Cancer       Date:  2014-02-07       Impact factor: 6.860

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