title: Decision preparation, satisfaction and regret in a multi-center sample of men with newly diagnosed localized prostate cancer.
abstract: OBJECTIVE
  To describe relationships between use of the Personal Patient Profile-Prostate (P3P) decision support system and patient characteristics, and perceived preparation for decision making (PrepDM), satisfaction and decisional regret in the context of prostate cancer treatment choice.
  
  
  METHODS
  494 men with localized prostate cancer (LPC) were randomized to receive the P3P intervention or usual care and completed pre-treatment, 1-month and 6-month outcome measures. Multivariable linear regression models were fit for each outcome.
  
  
  RESULTS
  Physician consult visits prior to enrollment, race/ethnicity, and use of clinic-provided books were significant predictors of perceived PrepDM at 1 month. Prior Internet use and PrepDM significantly predicted 6-month decision satisfaction. Decisional regret was significantly predicted by demographics, anxiety, PrepDM score, and EPIC bowel domain score at 6 months. Use of P3P did not predict any outcome.
  
  
  CONCLUSIONS
  While the P3P intervention did not significantly affect the outcomes, pre-enrollment information and preparation were strong predictors of the 1- and 6-month outcomes. Decision regret was significantly influenced by personal characteristics and post-treatment symptoms/side effects.
  
  
  CONCLUSIONS
  Information received and used between biopsy and the treatment options consult visit is likely to make a difference in decision satisfaction.
authors.affiliation: Dana-Farber Cancer Institute, The Phyllis F Cantor Center for Research in Nursing and Patient Care Services, Boston, MA 02215, USA. donna_berry@dfci.harvard.edu
authors.forename: Donna L
authors.initials: DL
authors.lastname: Berry
authors.forename: Qian
authors.initials: Q
authors.lastname: Wang
authors.forename: Barbara
authors.initials: B
authors.lastname: Halpenny
authors.forename: Fangxin
authors.initials: F
authors.lastname: Hong
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003657:Decision Making; D020000:Decision Support Systems, Clinical / Q000706:statistics & numerical data; D004644:Emotions; D006801:Humans; D020407:Internet; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010358:Patient Participation; D017060:Patient Satisfaction; D017064:Process Assessment, Health Care; D011446:Prospective Studies; D011471:Prostatic Neoplasms / Q000175:diagnosis* / Q000523:psychology* / Q000628:therapy; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D014481:United States