Discrete choice experiment (DCE) to quantify the influence of trial features on the decision to participate in cystic fibrosis (CF) clinical trials

Introduction Engaging people with cystic fibrosis (CF) in clinical trials is critical to improving outcomes for this fatal disease. Following extensive exploration of engagement in CF trials we believe six key concepts require a quantitative understanding of their influence in the current CF trials...

Full description

Bibliographic Details
Main Authors: Rebecca Anne Dobra, Marco Boeri, Stuart Elborn, Susan Madge
Format: Article
Language:English
Published: BMJ Publishing Group 2021-03-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/11/3/e045803.full
id doaj-650714c609594d768add72926a27b3ca
record_format Article
spelling doaj-650714c609594d768add72926a27b3ca2021-07-02T13:01:12ZengBMJ Publishing GroupBMJ Open2044-60552021-03-0111310.1136/bmjopen-2020-045803Discrete choice experiment (DCE) to quantify the influence of trial features on the decision to participate in cystic fibrosis (CF) clinical trialsRebecca Anne Dobra0Marco Boeri1Stuart Elborn2Susan Madge3National Heart Lung institute, Imperial College London, London, UKHealth Preference Assessments, RTI Health Solutions, Belfast, UKSchool of Medicine, Dentistry and Biomedical Sciences, Queens University of Belfast, Belfast, UKDepartment of Adult Cystic Fibrosis, Royal Brompton Hospital, London, UKIntroduction Engaging people with cystic fibrosis (CF) in clinical trials is critical to improving outcomes for this fatal disease. Following extensive exploration of engagement in CF trials we believe six key concepts require a quantitative understanding of their influence in the current CF trials landscape including how controversial issues like placebos, washouts, stipend provision and location of trial visits are viewed by the CF community and how these might be modified depending on the type of medicine being investigated and the mechanism of access to the drug on trial completion.Methods and analysis We have designed and will administer an online discrete choice experiment to elicit and quantify preferences of people with CF for these trials’ attributes and estimate the relative importance of an attribute when choosing to participate in a trial. The cross-sectional data generated will be explored using conditional multinomial logit model. Mixed logit models such as the random-parameters logit and a latent class models will be used to explore preference heterogeneity. To determine the relative importance of an attribute, the difference between the attribute level with the highest preference weight and the level with the lowest preference weight will be calculated.Ethics and dissemination Imperial College London Joint Research Compliance Office has granted ethical approval for this study. Patient consent will be sought following full explanation. No identifying information will be collected. Dissemination will be via international conferences, peer-review publication and patient accessible forums. Major CF trials networks have agreed to incorporate our findings into their review process, meaning our results can realistically influence and optimise CF trial delivery.PROSPERO registration number CRD42020184886.https://bmjopen.bmj.com/content/11/3/e045803.full
collection DOAJ
language English
format Article
sources DOAJ
author Rebecca Anne Dobra
Marco Boeri
Stuart Elborn
Susan Madge
spellingShingle Rebecca Anne Dobra
Marco Boeri
Stuart Elborn
Susan Madge
Discrete choice experiment (DCE) to quantify the influence of trial features on the decision to participate in cystic fibrosis (CF) clinical trials
BMJ Open
author_facet Rebecca Anne Dobra
Marco Boeri
Stuart Elborn
Susan Madge
author_sort Rebecca Anne Dobra
title Discrete choice experiment (DCE) to quantify the influence of trial features on the decision to participate in cystic fibrosis (CF) clinical trials
title_short Discrete choice experiment (DCE) to quantify the influence of trial features on the decision to participate in cystic fibrosis (CF) clinical trials
title_full Discrete choice experiment (DCE) to quantify the influence of trial features on the decision to participate in cystic fibrosis (CF) clinical trials
title_fullStr Discrete choice experiment (DCE) to quantify the influence of trial features on the decision to participate in cystic fibrosis (CF) clinical trials
title_full_unstemmed Discrete choice experiment (DCE) to quantify the influence of trial features on the decision to participate in cystic fibrosis (CF) clinical trials
title_sort discrete choice experiment (dce) to quantify the influence of trial features on the decision to participate in cystic fibrosis (cf) clinical trials
publisher BMJ Publishing Group
series BMJ Open
issn 2044-6055
publishDate 2021-03-01
description Introduction Engaging people with cystic fibrosis (CF) in clinical trials is critical to improving outcomes for this fatal disease. Following extensive exploration of engagement in CF trials we believe six key concepts require a quantitative understanding of their influence in the current CF trials landscape including how controversial issues like placebos, washouts, stipend provision and location of trial visits are viewed by the CF community and how these might be modified depending on the type of medicine being investigated and the mechanism of access to the drug on trial completion.Methods and analysis We have designed and will administer an online discrete choice experiment to elicit and quantify preferences of people with CF for these trials’ attributes and estimate the relative importance of an attribute when choosing to participate in a trial. The cross-sectional data generated will be explored using conditional multinomial logit model. Mixed logit models such as the random-parameters logit and a latent class models will be used to explore preference heterogeneity. To determine the relative importance of an attribute, the difference between the attribute level with the highest preference weight and the level with the lowest preference weight will be calculated.Ethics and dissemination Imperial College London Joint Research Compliance Office has granted ethical approval for this study. Patient consent will be sought following full explanation. No identifying information will be collected. Dissemination will be via international conferences, peer-review publication and patient accessible forums. Major CF trials networks have agreed to incorporate our findings into their review process, meaning our results can realistically influence and optimise CF trial delivery.PROSPERO registration number CRD42020184886.
url https://bmjopen.bmj.com/content/11/3/e045803.full
work_keys_str_mv AT rebeccaannedobra discretechoiceexperimentdcetoquantifytheinfluenceoftrialfeaturesonthedecisiontoparticipateincysticfibrosiscfclinicaltrials
AT marcoboeri discretechoiceexperimentdcetoquantifytheinfluenceoftrialfeaturesonthedecisiontoparticipateincysticfibrosiscfclinicaltrials
AT stuartelborn discretechoiceexperimentdcetoquantifytheinfluenceoftrialfeaturesonthedecisiontoparticipateincysticfibrosiscfclinicaltrials
AT susanmadge discretechoiceexperimentdcetoquantifytheinfluenceoftrialfeaturesonthedecisiontoparticipateincysticfibrosiscfclinicaltrials
_version_ 1721329439728467968