Literature DB >> 16282212

Cure me even if it kills me: preferences for invasive cancer treatment.

Angela Fagerlin1, Brian J Zikmund-Fisher, Peter A Ubel.   

Abstract

PURPOSE: When making medical decisions, people often care not only about what happens but also about whether the outcome was a result of actions voluntarily taken or a result of inaction. This study assessed the proportion of people choosing nonoptimal treatments (treatments which reduced survival chances) when presented with hypothetical cancer scenarios which varied by outcome cause.
METHODS: A randomized survey experiment tested preferences for curing an existent cancer with 2 possible treatments (medication or surgery) and 2 effects of treatment (beneficial or harmful). Participants were 112 prospective jurors in the Philadelphia County Courthouse and 218 visitors to the Detroit-Wayne County Metropolitan Airport.
RESULTS: When treatment was beneficial, 27% of participants rejected medication, whereas only 10% rejected surgery with identical outcomes ( 2 = 5.87, P < 0.02). When treatment was harmful, participants offered surgery were significantly more inclined to take action (65% v. 38%, chi(2) = 11.40, P = 0.001), even though doing so reduced overall survival chances.
CONCLUSIONS: Faced with hypothetical cancer diagnoses, many people say they would pursue treatment even if doing so would increase their chance of death. This tendency toward active treatment is notably stronger when the treatment offered is surgery instead of medication. Our study suggests that few people can imagine standing by and doing nothing after being diagnosed with cancer, and it should serve to remind clinicians that, for many patients, the best treatment alternative may not only depend on the medical outcomes they can expect to experience but also on whether those outcomes are achieved actively or passively.

Entities:  

Mesh:

Year:  2005        PMID: 16282212     DOI: 10.1177/0272989X05282639

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  13 in total

1.  Spontaneous mental associations with the words "side effect": Implications for informed and shared decision making.

Authors:  Sonya Izadi; Thorsten Pachur; Courtney Wheeler; Jaclyn McGuire; Erika A Waters
Journal:  Patient Educ Couns       Date:  2017-05-24

2.  Questioning context: a set of interdisciplinary questions for investigating contextual factors affecting health decision making.

Authors:  Andrea Charise; Holly Witteman; Sarah Whyte; Erica J Sutton; Jacqueline L Bender; Michael Massimi; Lindsay Stephens; Joshua Evans; Carmen Logie; Raza M Mirza; Marie Elf
Journal:  Health Expect       Date:  2010-10-28       Impact factor: 3.377

3.  [Palliative chemotherapy and CUP-syndrome: medical intentions versus patients' attitudes in decision making].

Authors:  Stephan Iglseder
Journal:  Wien Med Wochenschr       Date:  2006-05

4.  Effect of specialty and recent experience on perioperative decision-making for abdominal aortic aneurysm repair.

Authors:  William Dale; Joshua Hemmerich; Elizabeth Moliski; Margaret L Schwarze; Avery Tung
Journal:  J Am Geriatr Soc       Date:  2012-09-27       Impact factor: 5.562

5.  A Systematic Approach to Discussing Active Surveillance with Patients with Low-risk Prostate Cancer.

Authors:  Behfar Ehdaie; Melissa Assel; Nicole Benfante; Deepak Malhotra; Andrew Vickers
Journal:  Eur Urol       Date:  2017-01-24       Impact factor: 20.096

Review 6.  Communication between patients and providers and informed decision making.

Authors:  Joann G Elmore; Pamela S Ganschow; Berta M Geller
Journal:  J Natl Cancer Inst Monogr       Date:  2010

7.  Research ethics and public trust in vaccines: the case of COVID-19 challenge trials.

Authors:  Nir Eyal
Journal:  J Med Ethics       Date:  2022-05-20       Impact factor: 5.926

8.  Temporal trends and predictors of perioperative chemotherapy use in elderly patients with resected nonsmall cell lung cancer.

Authors:  Jue Wang; Yong Fang Kuo; Jean Freeman; Avi B Markowitz; James S Goodwin
Journal:  Cancer       Date:  2008-01-15       Impact factor: 6.860

9.  Competing risks of death in patients with localized renal cell carcinoma: a comorbidity based model.

Authors:  Alexander Kutikov; Brian L Egleston; Daniel Canter; Marc C Smaldone; Yu-Ning Wong; Robert G Uzzo
Journal:  J Urol       Date:  2012-10-18       Impact factor: 7.450

10.  The Impact of Breast Density Information or Notification on Women's Cognitive, Psychological, and Behavioral Outcomes: A Systematic Review.

Authors:  Brooke Nickel; Tessa Copp; Meagan Brennan; Rachel Farber; Kirsten McCaffery; Nehmat Houssami
Journal:  J Natl Cancer Inst       Date:  2021-10-01       Impact factor: 13.506

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