Literature DB >> 24852596

A community-engaged approach to quantifying caregiver preferences for the benefits and risks of emerging therapies for Duchenne muscular dystrophy.

Holly L Peay1, Ilene Hollin2, Ryan Fischer3, John F P Bridges2.   

Abstract

BACKGROUND: There is growing agreement that regulators performing benefit-risk evaluations should take patients' and caregivers' preferences into consideration. The Patient-Focused Drug Development Initiative at the US Food and Drug Administration offers patients and caregivers an enhanced opportunity to contribute to regulatory processes by offering direct testimonials. This process may be advanced by providing scientific evidence regarding treatment preferences through engagement of a broad community of patients and caregivers.
OBJECTIVE: In this article, we demonstrate a community-engaged approach to measure caregiver preferences for potential benefits and risks of emerging therapies for Duchenne muscular dystrophy (DMD).
METHODS: An advocacy oversight team led the community-engaged study. Caregivers' treatment preferences were measured by using best-worst scaling (BWS). Six relevant and understandable attributes describing potential benefits and risks of emerging DMD therapies were identified through engagement with advocates (n = 5), clinicians (n = 9), drug developers from pharmaceutical companies and academic centers (n = 11), and other stakeholders (n = 5). The attributes, each defined across 3 levels, included muscle function, life span, knowledge about the drug, nausea, risk of bleeds, and risk of arrhythmia. Cognitive interviewing with caregivers (n = 7) was used to refine terminology and assess acceptability of the BWS instrument. The study was implemented through an online survey of DMD caregivers, who were recruited in the United States through an advocacy group and snowball sampling. Caregivers were presented with 18 treatment profiles, identified via a main-effect orthogonal experimental design, in which the dependent variable was the respondents' judgment as to the best and worst feature in each profile. Preference weights were estimated by calculating the relative number of times a feature was chosen as best and as worst, which were then used to estimate relative attribute importance.
RESULTS: A total of 119 DMD caregivers completed the BWS instrument; they were predominately biological mothers (67.2%), married (89.9%), and white (91.6%). Treatment effect on muscle function was the most important among experimental attributes (28.7%), followed by risk of heart arrhythmia (22.4%) and risk of bleeding (21.2%). Having additional postapproval data was relatively the least important attribute (2.3%).
CONCLUSIONS: We present a model process for advocacy organizations aiming to promote patient-centered drug development. The community-engaged approach was successfully used to develop and implement a survey to measure caregiver preferences. Caregivers were willing to accept a serious risk when balanced with a noncurative treatment, even absent improvement in life span. These preferences should inform the Food and Drug Administration's benefit-risk assessment of emerging DMD therapies. This study highlights the synergistic integration of traditional advocacy methods and scientific approach to quantify benefit-risk preferences.
Copyright © 2014 The Authors. Published by EM Inc USA.. All rights reserved.

Entities:  

Keywords:  Duchenne muscular dystrophy; benefit–risk assessment; caregiver; choice behavior; patient preferences

Mesh:

Year:  2014        PMID: 24852596     DOI: 10.1016/j.clinthera.2014.04.011

Source DB:  PubMed          Journal:  Clin Ther        ISSN: 0149-2918            Impact factor:   3.393


  45 in total

Review 1.  What can Duchenne Connect teach us about treating Duchenne muscular dystrophy?

Authors:  Richard T Wang; Stanley F Nelson
Journal:  Curr Opin Neurol       Date:  2015-10       Impact factor: 5.710

2.  Art and Science of Instrument Development for Stated-Preference Methods.

Authors:  Ellen M Janssen; John F P Bridges
Journal:  Patient       Date:  2017-08       Impact factor: 3.883

3.  Symposium Title: Preference Evidence for Regulatory Decisions.

Authors:  Juan Marcos Gonzalez; F Reed Johnson; Bennett Levitan; Rebecca Noel; Holly Peay
Journal:  Patient       Date:  2018-10       Impact factor: 3.883

4.  Instrument Development in Choice Experiments. Commentary on: "Applying a Framework for Instrument Development of a Choice Experiment to Measure Treatment Preferences in Type 2 Diabetes".

Authors:  Eve Wittenberg
Journal:  Patient       Date:  2016-10       Impact factor: 3.883

5.  The Ball is in Your Court: Agenda for Research to Advance the Science of Patient Preferences in the Regulatory Review of Medical Devices in the United States.

Authors:  Bennett Levitan; A Brett Hauber; Marina G Damiano; Ross Jaffe; Stephanie Christopher
Journal:  Patient       Date:  2017-10       Impact factor: 3.883

6.  Engaging patients and caregivers in prioritizing symptoms impacting quality of life for Duchenne and Becker muscular dystrophy.

Authors:  Ilene L Hollin; Holly Peay; Ryan Fischer; Ellen M Janssen; John F P Bridges
Journal:  Qual Life Res       Date:  2018-05-26       Impact factor: 4.147

7.  Identifying and Prioritizing the Barriers and Facilitators to the Self-Management of Type 2 Diabetes Mellitus: A Community-Centered Approach.

Authors:  Allison H Oakes; Vincent S Garmo; Lee R Bone; Daniel R Longo; Jodi B Segal; John F P Bridges
Journal:  Patient       Date:  2017-12       Impact factor: 3.883

8.  Prioritizing Parental Worry Associated with Duchenne Muscular Dystrophy Using Best-Worst Scaling.

Authors:  Holly Landrum Peay; I L Hollin; J F P Bridges
Journal:  J Genet Couns       Date:  2015-08-21       Impact factor: 2.537

Review 9.  Neuroprosthetics and the science of patient input.

Authors:  Heather L Benz; Eugene F Civillico
Journal:  Exp Neurol       Date:  2016-07-22       Impact factor: 5.330

10.  A Framework for Instrument Development of a Choice Experiment: An Application to Type 2 Diabetes.

Authors:  Ellen M Janssen; Jodi B Segal; John F P Bridges
Journal:  Patient       Date:  2016-10       Impact factor: 3.883

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.