60 Participants Needed

Experience Sampling for Healthy Subjects

AK
TB
Overseen ByTiara Bounyarith, BA
Age: 18 - 65
Sex: Any
Trial Phase: Academic
Sponsor: Drexel University
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

Trial Summary

Do I need to stop taking my current medications for this trial?

The trial protocol does not specify whether you need to stop taking your current medications. However, since the trial involves MRI scanning, you should check with the study team if your medications might affect the MRI results.

What data supports the effectiveness of the treatment Experience Sampling?

The research suggests that measuring patient experiences, like with the experience-based design approach, can improve healthcare services by identifying and reducing negative feelings, such as anxiety, during patient consultations. This implies that Experience Sampling, which also focuses on patient experiences, might be effective in enhancing patient care by addressing emotional and personal aspects of their healthcare journey.12345

Is Experience Sampling safe for healthy humans?

The research articles provided do not contain specific safety data for Experience Sampling in healthy humans.678910

How does the Experience Sampling treatment differ from other treatments for this condition?

Experience Sampling is unique because it involves participants reporting their momentary experiences multiple times a day, which provides real-time data on their well-being and health. Unlike traditional treatments, it focuses on collecting data about daily life experiences rather than administering medication or therapy.1112131415

What is the purpose of this trial?

In a neuroimaging session, study participants will repeatedly and intermittently report the content of their ongoing, self-generated experiences based on an experience-sampling protocol in which self-report ratings will be triggered based on real-time analysis of the participant's current brain state. The protocol will be conducted while participants are undergoing MRI scanning.

Research Team

AK

Aaron Kucyi, PhD

Principal Investigator

Drexel University

Eligibility Criteria

This trial is for healthy individuals aged between 18-35 years old. It's designed to understand how people's thoughts and feelings relate to their brain activity, which will be monitored through MRI scans.

Timeline

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Neuroimaging Session

Participants undergo MRI scanning while reporting self-generated experiences based on real-time fMRI analysis

Two sessions over one month
2 visits (in-person)

Follow-up

Participants are monitored for any delayed effects or additional data collection post-neuroimaging

4 weeks

Treatment Details

Interventions

  • Experience Sampling
Trial Overview The study tests a new way of sampling experiences by asking participants to report their thoughts and feelings when prompted during an MRI scan. This happens as the scanner detects certain brain states in real-time.
Participant Groups
1Treatment groups
Experimental Treatment
Group I: Real-time fMRIExperimental Treatment1 Intervention
Participants will repeatedly and intermittently report the content of their ongoing, self-generated experiences based on an experience-sampling protocol in which self-report ratings will be triggered based on real-time analysis of the participant's current brain state. The protocol will be conducted while participants are undergoing MRI scanning.

Find a Clinic Near You

Who Is Running the Clinical Trial?

Drexel University

Lead Sponsor

Trials
160
Recruited
48,600+

National Institute of Mental Health (NIMH)

Collaborator

Trials
3,007
Recruited
2,852,000+

Findings from Research

The experience-based design (ebd) approach effectively measures the subjective and emotional experiences of teenage patients during orthodontic consultations, helping to identify key moments of anxiety.
Implementing service improvements based on ebd findings has successfully reduced negative feelings among teenagers during their initial consultations, enhancing their overall experience.
Using the experience-based design approach to improve orthodontic care.Ellis, PE., Silverton, S.[2015]
Analyzing data from 2.2 million patients in the 2009 General Practice Patient Survey revealed that 26 out of 45 patient experience questions had excellent reliability (≥0.90), indicating they are strong indicators for assessing organizational performance in healthcare.
The study highlights the importance of using reliability and intraclass correlation coefficients to select effective measures for comparing healthcare organizations, ensuring that surveys are both cost-effective and capable of providing high-quality data.
How can health care organizations be reliably compared?: Lessons from a national survey of patient experience.Lyratzopoulos, G., Elliott, MN., Barbiere, JM., et al.[2015]
Investigating patient and staff experiences is an emerging field that offers valuable insights into the quality of care provided in healthcare settings.
Understanding and measuring these experiences can lead to practical changes in healthcare practices, ultimately improving patient care.
How patient and staff experiences affect outcomes.Churchill, N., Warden, R.[2016]

References

Using the experience-based design approach to improve orthodontic care. [2015]
How can health care organizations be reliably compared?: Lessons from a national survey of patient experience. [2015]
How patient and staff experiences affect outcomes. [2016]
Examining the role of patient experience surveys in measuring health care quality. [2022]
It takes patience and persistence to get negative feedback about patients' experiences: a secondary analysis of national inpatient survey data. [2022]
A Novel Method for Deriving Adverse Event Prevalence in Randomized Controlled Trials: Potential for Improved Understanding of Benefit-Risk Ratio and Application to Drug Labels. [2023]
Quantifying the risks of non-oncology phase I research in healthy volunteers: meta-analysis of phase I studies. [2018]
Using triggers in primary care patient records to flag increased adverse event risk and measure patient safety at clinic level. [2014]
Post-market surveillance of consumer products: Framework for adverse event management. [2022]
A Bayesian Exposure-Time Method for Clinical Trial Safety Monitoring With Blinded Data. [2020]
11.United Statespubmed.ncbi.nlm.nih.gov
Eavesdropping on Missing Data: What Are University Students Doing When They Miss Experience Sampling Reports? [2021]
12.United Statespubmed.ncbi.nlm.nih.gov
Measuring affect dynamics: An empirical framework. [2023]
13.United Statespubmed.ncbi.nlm.nih.gov
mobileQ: A free user-friendly application for collecting experience sampling data. [2021]
Discrete- vs. Continuous-Time Modeling of Unequally Spaced Experience Sampling Method Data. [2020]
15.United Statespubmed.ncbi.nlm.nih.gov
The Effects of Sampling Frequency and Questionnaire Length on Perceived Burden, Compliance, and Careless Responding in Experience Sampling Data in a Student Population. [2022]
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