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Collecting patient preference information using a Clinical Data Research Network: demonstrating feasibility with idiopathic pulmonary fibrosis

Authors Hollin IL, Dimmock AEF, Bridges JFP, Danoff SK, Bascom R

Received 19 January 2019

Accepted for publication 10 April 2019

Published 16 May 2019 Volume 2019:13 Pages 795—804

DOI https://doi.org/10.2147/PPA.S201632

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Colin Mak

Peer reviewer comments 2

Editor who approved publication: Dr Johnny Chen


Ilene L Hollin,1 Anne EF Dimmock,2 John FP Bridges,3 Sonye K Danoff,4 Rebecca Bascom2

1Department of Health Services Administration and Policy, Temple University College of Public Health, Philadelphia, PA, USA; 2Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Penn State University College of Medicine, Hershey, PA, USA; 3Departments of Biomedical Informatics and Surgery, Ohio State University College of Medicine, Columbus, OH, USA; 4Division of Pulmonary Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA

Purpose: Rare diseases present challenges for accessing patient populations to conduct surveys. Clinical Data Research Networks (CDRNs) offer an opportunity to overcome those challenges by providing infrastructure for accessing patients and sharing data. This study aims to demonstrate the feasibility of collecting patient preference information for a rare disease in a CDRN, using idiopathic pulmonary fibrosis as proof of concept.
Patients and methods: Utilizing a cohort of idiopathic pulmonary fibrosis (IPF) patients across a CDRN, a discrete choice experiment was administered via electronic and paper methods to collect patient preference information about benefits and risks of two therapeutic options. Survey data were augmented with data from electronic health records and patient-reported outcome surveys.
Results: Thirty-three patients completed the preference experiment. The amount of choice attributable to a benefit of slowing of decline in lung function was 36%. Improving efficacy in terms of lung function was 2.16 times as important as improving efficacy in terms of shortness of breath. In terms of side effects, decreasing risk of gastrointestinal problems was 2.6 times as important as decreasing risk of sun sensitivity and 2.4 times as important as decreasing risk of liver injury. In terms of benefit-risk trade-offs, improving efficacy in terms of lung function was 1.6 times as important as decreasing risk of gastrointestinal problems.
Conclusion: This study used IPF as a proof of concept to demonstrate the feasibility of collecting patient preference information in a CDRN. The network was advantageous to the study of patient preferences. Future research should continue to explore pathways for the collection and use of patient preference information across networks. The power of consolidated collection efforts may lead to the ability to use preference data to inform decision-making at the regional, specialty, or individual encounter level.

Keywords: stated preference methods, discrete choice experiment, patient-centered outcomes research, benefit-risk trade-off

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