Literature DB >> 32995067

Use of Conjoint Analysis to Determine Patient Preferences for Surgical Treatment of Urethral Stricture Disease.

Leslie Wilson1, Tracy Kuo Lin1, Lindsay A Hampson2, Anna Oh1, Jie Ting1, Thomas Gaither3, Isabel Allen4, Benjamin N Breyer2.   

Abstract

INTRODUCTION: Understanding patient preferences for characteristics of treatments facilitates patient participation and doctor-patient communication and enhances patient-centered care. Patient participation is especially important for urethral stricture disease, which has no definitive treatment guidelines favoring either endoscopic incision or open reconstruction, making patient preference an important factor in treatment choice. However, to date, there have been no studies assessing factors that patients value when choosing a treatment option.
METHODS: We employ choice-based conjoint analysis to assess patient preferences in the trade-offs of treatment attributes for urethral stricture disease. Male patients undergoing treatment or follow-up examination for urethral stricture disease were recruited through a University Medical Practice. We included 169 patients in the analysis. Six attributes of both risk and benefit were examined: treatment type, success rate, number of future procedures, post-treatment catheter duration, recovery time, and copayment amount.
RESULTS: The treatment success rate was by far the most important attribute. Relative to a 25% success rate (OR = 1) an 85% success rate (OR = 26.72, p<.01) increased patient preference by approximately 27 times. Furthermore, patients are willing to pay a $10,000 copayment to double the success rate from 25% to 50%. Patients demonstrated a strong aversion to time with a urinary catheter. Catheter duration for 1 week or less (OR = .67, p<.01) reduced patient preference by about 1.5 times when compared to requiring no catheter. We also found that patients place low importance on both how invasive the treatment seems and low copayment amounts but are willing to pay $10,000 copayment for an open reconstruction surgery compared with an endoscopic incision procedure.
CONCLUSION: The findings highlight the importance of shared and detailed physician/patient discussions of all the risk and benefits of each treatment choice and suggest that conjoint analysis may be helpful as a decision aid to guide discussions with individual patients deciding on a treatment.

Entities:  

Keywords:  United States; Urethral stricture disease; choice based conjoint analysis; endoscopic incision/ direct vision internal urethrotomy (DVIU); open reconstruction/ urethroplasty; patient preference; patient-centered care

Year:  2017        PMID: 32995067      PMCID: PMC7521776     

Source DB:  PubMed          Journal:  J Particip Med        ISSN: 2152-7202


  16 in total

1.  Using conjoint analysis to elicit preferences for health care.

Authors:  M Ryan; S Farrar
Journal:  BMJ       Date:  2000-06-03

2.  Shared decision making--pinnacle of patient-centered care.

Authors:  Michael J Barry; Susan Edgman-Levitan
Journal:  N Engl J Med       Date:  2012-03-01       Impact factor: 91.245

3.  Conjoint analysis applications in health--a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force.

Authors:  John F P Bridges; A Brett Hauber; Deborah Marshall; Andrew Lloyd; Lisa A Prosser; Dean A Regier; F Reed Johnson; Josephine Mauskopf
Journal:  Value Health       Date:  2011-04-22       Impact factor: 5.725

4.  Patients' preferences for treatment outcomes for advanced non-small cell lung cancer: a conjoint analysis.

Authors:  John F P Bridges; Ateesha F Mohamed; Henrik W Finnern; Anette Woehl; A Brett Hauber
Journal:  Lung Cancer       Date:  2012-02-25       Impact factor: 5.705

5.  Conjoint analysis versus rating and ranking for values elicitation and clarification in colorectal cancer screening.

Authors:  Michael P Pignone; Alison T Brenner; Sarah Hawley; Stacey L Sheridan; Carmen L Lewis; Daniel E Jonas; Kirsten Howard
Journal:  J Gen Intern Med       Date:  2011-08-26       Impact factor: 5.128

6.  Patient preferences for attributes of multiple sclerosis disease-modifying therapies: development and results of a ratings-based conjoint analysis.

Authors:  Leslie S Wilson; Aimee Loucks; Gregory Gipson; Lixian Zhong; Christine Bui; Elizabeth Miller; Mary Owen; Daniel Pelletier; Douglas Goodin; Emmanuelle Waubant; Charles E McCulloch
Journal:  Int J MS Care       Date:  2015 Mar-Apr

7.  Methodologic evaluation of adaptive conjoint analysis to assess patient preferences: an application in oncology.

Authors:  Arwen H Pieterse; Anne M Stiggelbout; Corrie A M Marijnen
Journal:  Health Expect       Date:  2010-12       Impact factor: 3.377

8.  Patient weighting of osteoporosis medication attributes across racial and ethnic groups: a study of osteoporosis medication preferences using conjoint analysis.

Authors:  S Silverman; A Calderon; K Kaw; T B Childers; B A Stafford; W Brynildsen; A Focil; M Koenig; D T Gold
Journal:  Osteoporos Int       Date:  2012-12-18       Impact factor: 4.507

9.  Trade-off preferences regarding adjuvant endocrine therapy among women with estrogen receptor-positive breast cancer.

Authors:  H Wouters; G A Maatman; L Van Dijk; M L Bouvy; R Vree; E C G Van Geffen; J W Nortier; A M Stiggelbout
Journal:  Ann Oncol       Date:  2013-05-23       Impact factor: 32.976

10.  The management of bulbar urethral stricture disease before referral for definitive repair: have practice patterns changed?

Authors:  Michael A Granieri; Andrew C Peterson
Journal:  Urology       Date:  2014-08-08       Impact factor: 2.649

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