Patient Preferences for Leadless Pacemakers

January 30, 2025 updated by: Abbott Medical Devices

Quantifying Patient Preferences for Leadless Pacemaker Devices

Prospective, non-randomized, multi-center study designed to quantify patient preferences pertaining to risks and features of conventional transvenous pacemakers and leadless pacemakers

Study Overview

Detailed Description

The purpose of this study is to quantify patient preferences pertaining to risks and features of conventional transvenous pacemakers and leadless pacemakers. The preference study is designed to elicit patient preferences for risks and features that vary between a dual chamber leadless pacemaker system and a dual chamber transvenous pacemaker system, to quantify their relative importance.

Study Type

Observational

Enrollment (Actual)

117

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Arizona
      • Scottsdale, Arizona, United States, 85258
        • Honor Health
    • Arkansas
      • Jonesboro, Arkansas, United States, 72401
        • Arrhythmia Research Group
      • Little Rock, Arkansas, United States, 72211
        • Arkansas Heart Hospital
    • California
      • Santa Monica, California, United States, 90404
        • Pacific Heart Institute
    • Florida
      • Jacksonville, Florida, United States, 32207
        • Baptist Medical Center
    • Illinois
      • Chicago, Illinois, United States, 60612
        • Rush University Medical Center
      • Springfield, Illinois, United States, 62769
        • Prairie Education & Research Cooperative
    • Massachusetts
      • Fall River, Massachusetts, United States, 02720
        • Charlton Memorial Hospital
    • New York
      • New York, New York, United States, 10021
        • New York Presbyterian Hospital/Cornell University
    • Oklahoma
      • Oklahoma City, Oklahoma, United States, 73102
        • Hightower Clinical
    • Utah
      • Salt Lake City, Utah, United States, 84132
        • University of Utah Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

300 patients

Description

Inclusion Criteria:

  • Able to read and speak English to consent to participate in the survey
  • Willing and able to use a tablet or computer to complete the survey
  • Scheduled to undergo evaluation for a de novo cardiac pacemaker at the study site (patient may or may not have a known indication for a pacemaker at the time)

Exclusion Criteria:

  • None

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mean Rankings for Pacemaker Device Features
Time Frame: Baseline
Ranking of six pacemaker device features from most concerning (1) to least concerning (6)
Baseline
Results From RPL Model of Discrete Choice Experiment Choice Questions - Preference Weights (Effect-coded Parameters)
Time Frame: Baseline
The preference weights for the RPL model. Effect-coded parameters generate log-odds preference weights representing the relative strength of preference for each attribute level versus the mean effect across levels normalized at zero. A higher weight indicates a more preferred level while a lower weight indicates a less preferred level.
Baseline
Results From RPL Model of Discrete Choice Experiment Choice Questions- Standard Deviations
Time Frame: Baseline
The standard deviations representing the degree of variation in preference weights, with larger estimates representing preference heterogeneity.
Baseline
Maximum-acceptable Risks of a Complication
Time Frame: Baseline
Maximum-acceptable risk (MAR) of a complication was calculated for patients based off latent-class analysis with two groups-leadless class and transvenous class (see secondary outcome Constrained 2-class Latent-class model preference weights). The MAR represents risk level patients would be willing to accept to obtain their preferred pacemaker type, no discomfort, a device with longer battery life, and a device with more time since regulatory approval.
Baseline
Maximum-acceptable Risks of an Infection
Time Frame: Baseline
Maximum-acceptable risk (MAR) of an infection was calculated for patients based off latent-class analysis with two groups-leadless class and transvenous class (see secondary outcome Constrained 2-class Latent-class model preference weights). The MAR represent the risk that patients would be willing to accept to obtain their preferred pacemaker type, no discomfort, a device with longer battery life, and a device with more time since regulatory approval.
Baseline
Probability of Choosing Specified Pacemakers - All 3 Profiles
Time Frame: Baseline
Preference weight estimates were used to calculate the predicted probabilities that patients would choose a hypothetical pacemaker profile out of three different pacemaker types- leadless pacemaker removable, leadless pacemaker non-removable, or pacemaker with leads. Attributes for each pacemaker profile were defined using historical or published values. Preference weights from the latent class model were used to compute the probability that respondents within each class preference would choose a pacemaker profile over another.
Baseline
Probability of Choosing Specified Pacemakers - Leadless Pacemaker Removable vs. Leadless Pacemaker Non-removable
Time Frame: Baseline
Preference weight estimates were used to calculate the predicted probabilities that patients would choose a hypothetical pacemaker profile out of three different pacemaker types- leadless pacemaker removable or leadless pacemaker non-removable. Attributes for each pacemaker profile were defined using historical or published values. Preference weights from the latent class model were used to compute the probability that respondents within each class preference would choose a pacemaker profile over another.
Baseline
Probability of Choosing Specified Pacemakers - Leadless Pacemaker Removable vs. Pacemaker With Leads
Time Frame: Baseline
Preference weight estimates were used to calculate the predicted probabilities that patients would choose a hypothetical pacemaker profile out of three different pacemaker types- leadless pacemaker removable or pacemaker with leads. Attributes for each pacemaker profile were defined using historical or published values. Preference weights from the latent class model were used to compute the probability that respondents within each class preference would choose a pacemaker profile over another.
Baseline
Probability of Choosing Specified Pacemakers - Leadless Pacemaker Non-removable vs. Pacemaker With Leads
Time Frame: Baseline
Preference weight estimates were used to calculate the predicted probabilities that patients would choose a hypothetical pacemaker profile out of three different pacemaker types- leadless pacemaker non-removable or pacemaker with leads. Attributes for each pacemaker profile were defined using historical or published values. Preference weights from the latent class model were used to compute the probability that respondents within each class preference would choose a pacemaker profile over another.
Baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Constrained 2-class Latent-class Model Preference Weights
Time Frame: Baseline
Latent-class (LC) analysis was used to identify systematically different preference patterns across respondents. LC analysis provides a unique set of estimates of preference weights for a prespecified number of preference classes. Respondents are probabilistically assigned to classes based on the similarity of their responses to the overall preference pattern identified in each class.
Baseline
Number of Discrete Choice Experiment Questions Answered
Time Frame: Baseline
Number of Discrete choice experiment (DCE) questions answered by 117 respondents who answered at least the first 8 DCE questions. After respondents answered 8 DCE questions, they were asked if they would like to complete 4 additional questions.
Baseline
Association of Patient Characteristics With Membership in the Transvenous Class Versus the Leadless Class
Time Frame: Baseline
Respondent characteristics can be associated with class membership probabilities to "profile" the classes. These results show if respondents with certain characteristics are more likely to be in one class versus the other. The odds ratios of being in the transvenous class versus the leadless class for patient characteristics. Odds ratios greater than 1 indicate a higher likelihood of being in the class preferring transvenous pacemakers and pacemakers with longer time since government approval.
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Shelby Reed, PhD, Duke Clinical Research Institute

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 28, 2022

Primary Completion (Actual)

June 13, 2023

Study Completion (Actual)

June 13, 2023

Study Registration Dates

First Submitted

April 4, 2022

First Submitted That Met QC Criteria

April 13, 2022

First Posted (Actual)

April 14, 2022

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

January 30, 2025

Last Verified

January 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • ABT-CIP-10435

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

Yes

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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