Literature DB >> 29869777

Comparing the Relative Importance of Attributes of Metastatic Renal Cell Carcinoma Treatments to Patients and Physicians in the United States: A Discrete-Choice Experiment.

Juan Marcos González1, Justin Doan2, David J Gebben3, Marco Boeri4, Mayer Fishman5.   

Abstract

OBJECTIVES: Value assessments of new treatments for metastatic renal cell carcinoma (RCC) should include outcomes that are most important to patients. This study aimed to quantify and compare the conditional relative importance of the attributes of RCC treatments to patients and physicians in the United States.
METHODS: Patients with RCC and physicians who treat RCC completed an online discrete-choice experiment survey with a fractional factorial D-optimal experimental design. In a series of 12 questions, respondents chose between two hypothetical treatments defined in terms of six attributes: progression-free survival (PFS), probability of living ≥ 3 years (PL3Y), skin reactions, severity of fatigue, mode of administration, and monthly co-payment. Treatment choices were analyzed using a random-parameters logit model to estimate relative preference weights for the attribute levels and conditional relative attribute importance (i.e. the importance of an attribute relative to all other attributes conditional on the range of levels of that attribute).
RESULTS: Overall, 201 patients and 142 physicians completed the survey. For both patients and physicians, PL3Y was the attribute with the greatest and statistically significant conditional relative importance. Estimates of the conditional relative importance of PFS, skin reactions, and mode of administration for patients, and for PFS and mode of administration for physicians, were not statistically significant. The preferences for improvements in PFS were independent of the level of PL3Y for both patients and physicians. Conditional relative attribute importance varied by patient disease stage.
CONCLUSIONS: Patients and physicians indicated that PL3Y was the most important treatment attribute and was significantly more important than PFS. Importance rankings differed between physicians and patients and between all patients and those with advanced/metastatic disease.

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Year:  2018        PMID: 29869777     DOI: 10.1007/s40273-018-0640-7

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  25 in total

1.  An experiment on simplifying conjoint analysis designs for measuring preferences.

Authors:  Tara Maddala; Kathryn A Phillips; F Reed Johnson
Journal:  Health Econ       Date:  2003-12       Impact factor: 3.046

2.  Conjoint Analysis Applications in Health - How are Studies being Designed and Reported?: An Update on Current Practice in the Published Literature between 2005 and 2008.

Authors:  Deborah Marshall; John F P Bridges; Brett Hauber; Ruthanne Cameron; Lauren Donnalley; Ken Fyie; F Reed Johnson
Journal:  Patient       Date:  2010-12-01       Impact factor: 3.883

3.  Are gastroenterologists less tolerant of treatment risks than patients? Benefit-risk preferences in Crohn's disease management.

Authors:  F Reed Johnson; Brett Hauber; Semra Özdemir; Corey A Siegel; Steven Hass; Bruce E Sands
Journal:  J Manag Care Pharm       Date:  2010-10

4.  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

5.  Updating the American Society of Clinical Oncology Value Framework: Revisions and Reflections in Response to Comments Received.

Authors:  Lowell E Schnipper; Nancy E Davidson; Dana S Wollins; Douglas W Blayney; Adam P Dicker; Patricia A Ganz; J Russell Hoverman; Robert Langdon; Gary H Lyman; Neal J Meropol; Therese Mulvey; Lee Newcomer; Jeffrey Peppercorn; Blase Polite; Derek Raghavan; Gregory Rossi; Leonard Saltz; Deborah Schrag; Thomas J Smith; Peter P Yu; Clifford A Hudis; Julie M Vose; Richard L Schilsky
Journal:  J Clin Oncol       Date:  2016-05-31       Impact factor: 44.544

Review 6.  Targeted therapies for renal cell carcinoma.

Authors:  Edwin M Posadas; Suwicha Limvorasak; Robert A Figlin
Journal:  Nat Rev Nephrol       Date:  2017-07-10       Impact factor: 28.314

7.  Treatment patterns and costs for metastatic renal cell carcinoma patients with private insurance in the United States.

Authors:  Daniel M Geynisman; Jim C Hu; Lei Liu; Ya-Chen Tina Shih
Journal:  Clin Genitourin Cancer       Date:  2014-09-28       Impact factor: 2.872

8.  A comparison of preferences of targeted therapy for metastatic renal cell carcinoma between the patient group and health care professional group in South Korea.

Authors:  Mi-Hai Park; Changik Jo; Eun Young Bae; Eui-Kyung Lee
Journal:  Value Health       Date:  2012 Sep-Oct       Impact factor: 5.725

Review 9.  Discrete choice experiments in health economics: a review of the literature.

Authors:  Esther W de Bekker-Grob; Mandy Ryan; Karen Gerard
Journal:  Health Econ       Date:  2010-12-19       Impact factor: 3.046

Review 10.  Systemic therapy in metastatic renal cell carcinoma.

Authors:  Jens Bedke; Thomas Gauler; Viktor Grünwald; Axel Hegele; Edwin Herrmann; Stefan Hinz; Jan Janssen; Stephan Schmitz; Martin Schostak; Hans Tesch; Stefan Zastrow; Kurt Miller
Journal:  World J Urol       Date:  2016-06-09       Impact factor: 4.226

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  7 in total

1.  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

2.  The Value of Hope: Patients' and Physicians' Preferences for Survival in Advanced Non-Small Cell Lung Cancer.

Authors:  Brett Hauber; John R Penrod; David Gebben; Lina Musallam
Journal:  Patient Prefer Adherence       Date:  2020-10-30       Impact factor: 2.711

3.  A Systematic Review of Discrete Choice Experiments in Oncology Treatments.

Authors:  Hannah Collacott; Vikas Soekhai; Caitlin Thomas; Anne Brooks; Ella Brookes; Rachel Lo; Sarah Mulnick; Sebastian Heidenreich
Journal:  Patient       Date:  2021-05-05       Impact factor: 3.883

4.  Patient and caregiver benefit-risk preferences for nonmetastatic castration-resistant prostate cancer treatment.

Authors:  Sandy Srinivas; Ateesha F Mohamed; Sreevalsa Appukkuttan; Marc Botteman; Xinyi Ng; Namita Joshi; Jui-Hua Tsai; Jarjieh Fang; A Reginald Waldeck; Stacey J Simmons
Journal:  Cancer Med       Date:  2020-07-29       Impact factor: 4.452

5.  Differences in Lung Cancer Treatment Preferences Among Oncologists, Patients and Family Members: A Semi-Structured Qualitative Study in China.

Authors:  Xiaoning He; Mengqian Zhang; Jing Wu; Song Xu; Xiangli Jiang; Ziping Wang; Shucai Zhang; Feng Xie
Journal:  Patient Prefer Adherence       Date:  2021-04-15       Impact factor: 2.711

6.  Preferences for Renal Cell Carcinoma Pharmacological Treatment: A Discrete Choice Experiment in Patients and Oncologists.

Authors:  Ovidio Fernández; Martín Lázaro-Quintela; Guillermo Crespo; Diego Soto de Prado; Álvaro Pinto; Laura Basterretxea; Alfonso Gómez de Liaño; Olatz Etxaniz; Sara Blasco; Clara Gabás-Rivera; Susana Aceituno; Virginia Palomar; Carlos Polanco-Sánchez
Journal:  Front Oncol       Date:  2022-01-07       Impact factor: 6.244

Review 7.  Reviewing Treatment Options for Advanced Renal Cell Carcinoma: Is There Still a Place for Tyrosine Kinase Inhibitor (TKI) Monotherapy?

Authors:  Mário Fontes-Sousa; Helena Magalhães; Alicia Oliveira; Filipa Carneiro; Filipa Palma Dos Reis; Pedro Silvestre Madeira; Sara Meireles
Journal:  Adv Ther       Date:  2022-01-13       Impact factor: 3.845

  7 in total

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