Literature DB >> 22492883

How cancer patients value hope and the implications for cost-effectiveness assessments of high-cost cancer therapies.

Darius N Lakdawalla1, John A Romley, Yuri Sanchez, J Ross Maclean, John R Penrod, Tomas Philipson.   

Abstract

Assessments of the medical and economic value of therapies in diseases such as cancer traditionally focus on average or median gains in patients' survival. This focus ignores the value that patients may place on a therapy with a wider "spread" of outcomes that offer the potential of a longer period of survival. We call such treatments "hopeful gambles" and contrast them with "safe bets" that offer similar average survival but less chance of a large gain. Real-world therapy options do not have these stylized forms, but they can differ in the spread of survival gains that patients face. We found that 77 percent of surveyed cancer patients with melanoma, breast cancer, or other kinds of solid tumors preferred hopeful gambles to safe bets. This suggests that current technology assessments, which often determine access to such cancer therapies, may be missing an important source of value to patients and should either incorporate hope into the value of therapies or set a higher threshold for an acceptable cost-effectiveness ratio in the end-of-life context.

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Year:  2012        PMID: 22492883     DOI: 10.1377/hlthaff.2011.1300

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  29 in total

1.  Health technology assessment with risk aversion in health.

Authors:  Darius N Lakdawalla; Charles E Phelps
Journal:  J Health Econ       Date:  2020-06-06       Impact factor: 3.883

2.  Physician and Patient and Caregiver Health Attitudes and Their Effect on Medicare Resource Allocation for Patients With Advanced Cancer.

Authors:  Daniel J Rocke; Halton W Beumer; Donald H Taylor; Steven Thomas; Liana Puscas; Walter T Lee
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2014-06       Impact factor: 6.223

Review 3.  Current challenges in health economic modeling of cancer therapies: a research inquiry.

Authors:  Jeffrey D Miller; Kathleen A Foley; Mason W Russell
Journal:  Am Health Drug Benefits       Date:  2014-05

Review 4.  Defining value-driven care in head and neck oncology.

Authors:  Benjamin R Roman; Mahmoud I Awad; Snehal G Patel
Journal:  Curr Oncol Rep       Date:  2015-01       Impact factor: 5.075

5.  Defining Value: The Need for a Longer, Broader View.

Authors:  Tomas J Philipson; Sachin Kamal-Bahl; Anupam B Jena
Journal:  Pharmacoeconomics       Date:  2017-07       Impact factor: 4.981

Review 6.  Valuing Meta-Health Effects for Use in Economic Evaluations to Inform Reimbursement Decisions: A Review of the Evidence.

Authors:  Richard De Abreu Lourenco; Marion Haas; Jane Hall; Rosalie Viney
Journal:  Pharmacoeconomics       Date:  2017-03       Impact factor: 4.981

7.  Comparative Survival Associated With Use of Targeted vs Nontargeted Therapy in Medicare Patients With Metastatic Renal Cell Carcinoma.

Authors:  Pengxiang Li; Jordan Jahnke; Amy R Pettit; Yu-Ning Wong; Jalpa A Doshi
Journal:  JAMA Netw Open       Date:  2019-06-05

8.  Careful use of science to advance the debate on the UK Cancer Drugs Fund.

Authors:  Darius N Lakdawalla; Anupam B Jena; Jason N Doctor
Journal:  JAMA       Date:  2014-01-01       Impact factor: 56.272

Review 9.  Stated and Revealed Preferences for Funding New High-Cost Cancer Drugs: A Critical Review of the Evidence from Patients, the Public and Payers.

Authors:  Tatjana E MacLeod; Anthony H Harris; Ajay Mahal
Journal:  Patient       Date:  2016-06       Impact factor: 3.883

10.  Cancer patients' trade-offs among efficacy, toxicity, and out-of-pocket cost in the curative and noncurative setting.

Authors:  Yu-Ning Wong; Brian L Egleston; Kush Sachdeva; Naa Eghan; Melanie Pirollo; Tammy K Stump; John Robert Beck; Katrina Armstrong; Jerome Sanford Schwartz; Neal J Meropol
Journal:  Med Care       Date:  2013-09       Impact factor: 2.983

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