- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05999903
Driving Rehabilitation and Innovation for Evaluating Risk in Post-Intensive Care Unit Survivors (DRIVE-PICS)
February 26, 2024 updated by: Baylor Research Institute
Older adults are at risk for ICU-acquired cognitive decline discernible from clinical, biological, and imaging- related changes in the brain following delirium and critical illness.
Our Driving Rehabilitation and Innovation for Evaluating Risk in Post Intensive Care Unit Survivors (DRIVE-PICS) application seeks to implement in-vehicle kinematic driving data with neurocognitive assessments for essential formative work to develop data-based insights into driving behaviors.
DRIVE-PICS is designed to contribute to a critical gap in health promotion to develop an evidence-based, in-vehicle driving assessment system to provide actionable driving safety data and rehabilitation strategies tailored to older ICU survivors, the participants' care partners, and clinicians.
Study Overview
Status
Recruiting
Conditions
Detailed Description
There are more than 50 million older adults licensed to drive in the United States.
Driving is a complex task requiring cognitive and sensorimotor skills.
Survivors of critical illness experience cognitive, psychological and physical impairments, known as Post-Intensive Care Syndrome (PICS), that can last months to years following critical illness.
Across the lifespan, ICU recovery has far-reaching implications for independent functioning, employment, and healthcare utilization, costing billions annually.
Older adults are at risk for ICU- acquired cognitive decline discernible from clinical, biological, and imaging-related changes in the brain following delirium and critical illness.
Similar to other forms of dementia, the combination of normal aging paired with cognitive deficits associated with critical illness survivorship places these older adults at high risk of automobile crashes.
To address ICU-acquired cognitive decline, driving assessments to characterize risky driving behaviors are promising to guide driving rehabilitation and intervention development.
Rigorous and reproducible driving safety assessment programs have demonstrated success in post-stroke and dementia contexts, established via in-vehicle and virtual modes.
The investigators hypothesize that in-vehicle driving assessment and monitoring is a feasible and acceptable approach to assess and address ICU survivor driving safety.
The investigators seek to implement novel in-vehicle cloud-data collection technology developed by the investigators' team.
The investigators propose to pair neurocognitive assessments with in-vehicle kinematic driving data to conduct essential formative work to develop data-based insights into driving behaviors of older adults with ICU-acquired cognitive declines.
The investigators aim to determine protocol feasibility and acceptability of neurocognitive assessments and in-vehicle sensor deployment (Aim 1).
The investigators will enroll a cohort of older ICU survivors (n=24) with risk factors for ICU-acquired cognitive impairment to complete neurocognitive measures and participate in driving data collection via in-vehicle sensors over a 6-month post-hospital discharge period.
Next, the investigators will evaluate the relationship between neurocognitive assessments and driving behavior and safety in older ICU survivors (Aim 2).
Lastly, the investigators will conduct stakeholder advisory panels on the priorities and data presentation needs of driving assessments for older ICU survivors (Aim 3).
The stakeholder advisory panel insights will provide scientific justification and protocol feasibility to evaluate recruitment, acceptability and attrition for future full-scale implementation.
As the population of older drivers grows, almost doubling in size from 2012 to 2040 there is an immediate and critical need to address this impactful issue.
This work is designed in response to the NIA Strategic Plan (Goal C-1-9 Safety of Older Drivers) to contribute to a critical gap in health promotion to develop an evidence-based, in- vehicle driving assessment system to provide actionable driving safety data and rehabilitation strategies tailored to ICU survivors, the participants' care partners and clinicians.
Study Type
Observational
Enrollment (Estimated)
24
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Valerie Danesh, PhD
- Phone Number: 2547714853
- Email: CAHRcriticalcare@bswhealth.org
Study Locations
-
-
Texas
-
Temple, Texas, United States, 76508
- Recruiting
- Baylor Scott and White Health Medical Center At Temple
-
Contact:
- Michaela Gladden, B.S.
- Phone Number: 254-771-4853
- Email: CAHRcriticalcare@bswhealth.org
-
-
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
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
ICU survivors
Description
Inclusion Criteria:
- Age 40 and older.
- Must have had an ICU stay with delirium.
- Expected to survive hospital discharge.
- English proficiency
- Active driver within 4 weeks prior to index hospitalization
- Regular use of vehicle that is model year 1996 or newer
Exclusion Criteria:
- Communication challenges due to severe pre-existing dementia, hearing, or vision impairment.
- No access to driving.
- Loss or suspension of driver's license
- Current Incarceration
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
Cohorts and Interventions
Group / Cohort |
---|
Observational Kinematic Driving Data
Longitudinal kinematic driving data paired with neurocognitive assessments at 3- and 6-months
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Total Driving Time
Time Frame: 0-6 months after hospital discharge
|
Total driving time in minutes.
|
0-6 months after hospital discharge
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Depression
Time Frame: Hospital discharge, 3 months after hospital discharge, 6 months after hospital discharge
|
Depression will be measured using the Hospital Anxiety and Depression Scale (HADS), a 14-item self-report of depression symptoms.
Participants rate each item from 0 (not at all) to 3 (very often) to indicate the degree to which they have experienced the symptom in the past 7 days.
Higher scores indicate greater depression.
|
Hospital discharge, 3 months after hospital discharge, 6 months after hospital discharge
|
Executive Function
Time Frame: 3 months after hospital discharge, 6 months after hospital discharge
|
Executive Function will be measured using the Dimensional Change Card Sort.
The participant will be required to sort first according to one dimension (e.g., color) and then according to another dimension (e.g., shape).
|
3 months after hospital discharge, 6 months after hospital discharge
|
Attention
Time Frame: 3 months after hospital discharge, 6 months after hospital discharge
|
Attention will be measured using the Flanker Inhibitory Control and Attention Test.
The participants will be required to focus on a given stimulus while inhibiting attention to stimuli.
Sometimes the middle stimulus points in the same direction as the "flankers" (congruent) and sometimes in the opposite direction (incongruent).
if a participant scores ≥ 90%, 20 additional trials with arrows are presented.
|
3 months after hospital discharge, 6 months after hospital discharge
|
Working Memory
Time Frame: 3 months after hospital discharge, 6 months after hospital discharge
|
Working memory will be measured using the List Sorting Test.
Participants will be provided pictures of different foods and animals accompanied with an audio recording as well as written text.
The participant will be asked to recall the items back in size order from smallest to largest, first within a single dimension (either animals or foods, called 1-List) and then on two dimensions (foods, then animals, called 2-List).
|
3 months after hospital discharge, 6 months after hospital discharge
|
Processing Speed
Time Frame: 3 months after hospital discharge, 6 months after hospital discharge
|
Processing Speed will be measured using the Pattern Comparison Processing Speed Test.
Participants are asked to quickly determine whether two stimuli are the same or not the same.
The participants' score will be based on how many items they answer correctly out of a possible 130 items, completed in 90 seconds.
|
3 months after hospital discharge, 6 months after hospital discharge
|
Health-Related Quality of Life
Time Frame: Hospital discharge, 3 months after hospital discharge, 6 months after hospital discharge
|
Health-Related Quality of Life will be measured using the EuroQol- 5 Dimension Test (EQ-5D).
The participant will be required to answer one question for each of the five dimensions that include mobility, self-care, usual activities, pain/discomfort, and anxiety/depression.
Within the questionnaire, the participants will also be asked to rate their perception of how their health is on a scale of 0 (worst possible health status) to 100 (best possible health status).
Questions are scored as a 1 (full health) and 0 (poorest health).
With 0 being the worst health status.
|
Hospital discharge, 3 months after hospital discharge, 6 months after hospital discharge
|
Anxiety
Time Frame: Hospital discharge, 3 months after hospital discharge, 6 months after hospital discharge
|
Anxiety will be measured using the Hospital Anxiety and Depression Scale (HADS), a 14-item self-report of depression symptoms.
Participants rate each item from 0 (not at all) to 3 (very often) to indicate the degree to which they have experienced the symptom in the past 7 days.
Higher scores indicate greater depression.
|
Hospital discharge, 3 months after hospital discharge, 6 months after hospital discharge
|
Driving Trips
Time Frame: 0-6 months after hospital discharge
|
Driving trips will be measured using the number of trips the participant takes from the beginning of ignition to the end when the vehicle is turned off.
|
0-6 months after hospital discharge
|
Driving Behaviors
Time Frame: 0-6 months after hospital discharge
|
Driving behaviors will be measured using near-crash events that are detected with validated accelerometer thresholds.
|
0-6 months after hospital discharge
|
Employment
Time Frame: Hospital discharge, 3 months after hospital discharge, 6 months after hospital discharge
|
Employment will be measured through the Johns Hopkins OACIS Employment Questionnaire.
It is not a scored questionnaire.
|
Hospital discharge, 3 months after hospital discharge, 6 months after hospital discharge
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Valerie Danesh, PhD, Baylor Scott and White 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)
September 13, 2023
Primary Completion (Estimated)
July 31, 2024
Study Completion (Estimated)
December 31, 2024
Study Registration Dates
First Submitted
July 31, 2023
First Submitted That Met QC Criteria
August 10, 2023
First Posted (Actual)
August 21, 2023
Study Record Updates
Last Update Posted (Estimated)
February 28, 2024
Last Update Submitted That Met QC Criteria
February 26, 2024
Last Verified
July 1, 2023
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 1R21AG080339-01 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
UNDECIDED
IPD Plan Description
No study documents available.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
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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