Literature DB >> 26654707

Patient, physician, and general population preferences for treatment characteristics in relapsed or refractory chronic lymphocytic leukemia: A conjoint analysis.

Erik Landfeldt1, Jennifer Eriksson2, Steve Ireland3, Patience Musingarimi4, Claire Jackson5, Emma Tweats5, Maren Gaudig6.   

Abstract

Due to the disease heterogeneity, treatments for chronic lymphocytic leukemia (CLL) have differed with respect to efficacy and toxicity. Limited options have also been available regarding modalities of administration. Our study objective was to estimate preferences for treatment characteristics (or "attributes") in relapsed/refractory (r/r) CLL. Patients, physicians (hematologists/oncologists), and members from the general population from Germany and Sweden completed a conjoint analysis comprising six CLL treatment attributes: (i) overall survival (OS), (ii) progression-free survival (PFS), (iii) fatigue, (iv) nausea, (v) risk of serious infections, and (vi) treatment administration (each described in three levels). We estimated the relative importance of each attribute by fitting a hierarchical Bayesian model. A total of 190 German and 121 Swedish individuals participated. In the pooled sample, OS was the most important attribute (36%), followed by risk of serious infection (21%), treatment administration (13%), fatigue (12%), PFS (11%), and nausea (7%). Treatment administration was more important to patients (all p<0.004), OS was more important to physicians (all p<0.001), and risk of serious infections was more important to the general population than to physicians (p<0.001). Our results could be helpful to align therapeutic decision-making in r/r CLL with patient preferences to improve care satisfaction and treatment compliance.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Clinical practice; Decision-making; Discrete-choice experiment; Hematology; Leukemia

Mesh:

Year:  2015        PMID: 26654707     DOI: 10.1016/j.leukres.2015.11.006

Source DB:  PubMed          Journal:  Leuk Res        ISSN: 0145-2126            Impact factor:   3.156


  12 in total

1.  Patient preferences: a Trojan horse for evidence-based medicine?

Authors:  Afschin Gandjour
Journal:  Eur J Health Econ       Date:  2018-01

2.  Patients' priorities in selecting chronic lymphocytic leukemia treatments.

Authors:  Carol Mansfield; Anthony Masaquel; Jessie Sutphin; Elisa Weiss; Meghan Gutierrez; Jennifer Wilson; Marco Boeri; Jia Li; Carolina Reyes
Journal:  Blood Adv       Date:  2017-10-31

3.  Understanding Pediatric Dentists' Dental Caries Management Treatment Decisions: A Conjoint Experiment.

Authors:  E T Kateeb; J J Warren; G J Gaeth; E T Momany; P C Damiano
Journal:  JDR Clin Trans Res       Date:  2016-02-29

4.  Do preferences differ based on respondent experience of a health issue and its treatment? A case study using a public health intervention.

Authors:  David J Mott; Laura Ternent; Luke Vale
Journal:  Eur J Health Econ       Date:  2022-06-18

5.  Young adult preference analysis on the attributes of COVID-19 vaccine in the Philippines: A conjoint analysis approach.

Authors:  Ardvin Kester S Ong; Yogi Tri Prasetyo; Fae Coleen Lagura; Rochelle Nicole Ramos; Jose Ma Luis Salazar; Keenan Mark Sigua; Jomy Anne Villas; Thanatorn Chuenyindee; Reny Nadlifatin; Satria Fadil Persada; Kriengkrai Thana
Journal:  Public Health Pract (Oxf)       Date:  2022-07-19

6.  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

7.  Discrete Choice Experiments in Health Economics: Past, Present and Future.

Authors:  Vikas Soekhai; Esther W de Bekker-Grob; Alan R Ellis; Caroline M Vass
Journal:  Pharmacoeconomics       Date:  2019-02       Impact factor: 4.981

8.  Oncologist and Patient Preferences for Novel Agents in First-Line Treatment for Chronic Lymphocytic Leukemia: Commonalities and Disconnects.

Authors:  Hannah Le; Kellie Ryan; Svea K Wahlstrom; Martine C Maculaitis; Oliver Will; Emily Mulvihill; Thomas W LeBlanc
Journal:  Patient Prefer Adherence       Date:  2021-01-22       Impact factor: 2.711

9.  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

10.  Individual Trade-Offs Between Possible Benefits and Risks of Cancer Treatments: Results from a Stated Preference Study with Patients with Multiple Myeloma.

Authors:  Douwe Postmus; Sarah Richard; Nathalie Bere; Gert van Valkenhoef; Jayne Galinsky; Eric Low; Isabelle Moulon; Maria Mavris; Tomas Salmonsson; Beatriz Flores; Hans Hillege; Francesco Pignatti
Journal:  Oncologist       Date:  2017-10-27
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