Measuring the Preferences of Patients With Type II Diabetes Using Best-worst Scaling and Discrete Choice Experiment
Advancing Stated-preference Methods for Measuring the Preferences of Patients With Type II Diabetes
1 other identifier
observational
1,103
1 country
1
Brief Summary
In 2012, the FDA Center for Devices and Radiological Health (CDRH) issued guidance to clarify the principal benefit-risk factors FDA considers during the reviews for premarket approval applications and de novo classification requests. In addition to a detailed description of benefits and risks, CDRH listed "patient tolerance for risk and perspective on benefit" as a factor that CDRH may consider in regulatory reviews. It underlined the need for developing methods to measure patient preference and incorporate it into regulatory decision-making. The purpose of this study is to advance methods for patient and community engagement in patient-centered outcome research (PCOR) and has three objectives. First, demonstrate good practices for patient and community involvement in PCOR projects by applying principles of community-based participatory research (CBPR). Second, address methodological gaps pertaining to the use of stated-preference methods in studying preferences in PCOR. These include identifying the best methods for designing a preference study and strategies for analyzing variation in preferences. The investigators also seek to assess the relevance of stated-preference methods to patients and stakeholders using both qualitative and quantitative methods. Third, demonstrate good practices for applying stated-preference methods by studying the preferences of patients with type II diabetes. While type II diabetes provides an important case study, this research will advance approaches and methods that will be broadly generalizable to other diseases, and to diverse patient and stakeholder groups. Clinical Significance: This project will illustrate and advance methods for assessing the values of patients and stakeholders. It will demonstrate how CBPR methods apply to PCOR studies and the value of stated-preference methods in measuring the preferences of patients and stakeholders and directing health care.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2013
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 1, 2013
CompletedFirst Submitted
Initial submission to the registry
November 18, 2015
CompletedFirst Posted
Study publicly available on registry
December 22, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
February 1, 2017
CompletedResults Posted
Study results publicly available
November 29, 2024
CompletedNovember 29, 2024
October 1, 2024
3.3 years
November 18, 2015
May 1, 2017
October 7, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Patient Medication Preference as Estimated by a Choice Model
Preference estimate for each medicine attribute level from a conditional logit regression analysis. For each arm, there were six attributes of the medication, with 3 levels each. Within each attribute the parameter estimates for each of the levels sum to 0. If a parameter estimate for a level is above (below) 0 then the parameter is higher (lower) than average for that medication attribute.
One-time survey
Weight Respondents Assign to Medication Attribute (Relative Attribute Importance) Assessed by a Choice Model
Relative attribute importance (RAI) for each attribute in each arm measures the overall importance of that attribute. It is estimated by subtracting the lowest parameter estimate from the highest parameter estimate within each attribute. The RAI was then re-scaled on a 0 to 10 scale with 0 demonstrating no importance and 10 reflecting the most important attribute in each arm.
One-time survey
Secondary Outcomes (1)
Self-reported Difficulty in Understanding and Answering the Survey Questions
One-time survey
Study Arms (2)
Best-Worst Scaling (Case 2)
Preference measured by best-worst scaling (case 2)
Discrete Choice Experiment
Preference measured by discrete choice experiment
Interventions
Respondents receive questions asking them to choose the best and worst features of a hypothetical medication.
Respondents receive questions asking them to choose the medication they prefer between a pair of hypothetical medications.
Eligibility Criteria
Adults with type II diabetes.
You may qualify if:
- Participate in the GfK's KnowledgePanel
- Self-reported Type II diabetes diagnosis
You may not qualify if:
- Does not have Type II diabetes diagnosis
- Unable to communicate in English or Spanish
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Johns Hopkins Bloomberg School of Public Health
Baltimore, Maryland, 21205, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- John FP Bridges
- Organization
- Johns Hopkins Bloomberg School of Public Health
Study Officials
- PRINCIPAL INVESTIGATOR
John Bridges, PhD
Johns Hopkins University
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 18, 2015
First Posted
December 22, 2015
Study Start
July 1, 2013
Primary Completion
October 1, 2016
Study Completion
February 1, 2017
Last Updated
November 29, 2024
Results First Posted
November 29, 2024
Record last verified: 2024-10