ClinicalTrials.gg
CompletedNCT04922320PPCUpdated Sep 14, 2026Results posted

Effect of Patient Priorities Care Implementation in Older Veterans With Multiple Chronic Conditions

An interventional study of Patient Priorities Care and Usual Care in Multiple Chronic Conditions and Decision Making, Shared, sponsored by VA Office of Research and Development. Completed at 2 sites in United States. Open to participants aged 65 Years and older. Per ClinicalTrials.gov, last updated 2026-09-14.

Sponsored by VA Office of Research and Development · Not applicable, Interventional, and Health services research

Phase
Not applicable
Study type
Interventional
Enrollment
437
Allocation
Randomized
Ages
65 Years and older
Sex
All
01

Study summary

The investigators will conduct a randomized control trial enrolling 420 older Veterans with multiple chronic conditions receiving primary care at the Michael E. DeBakey VA Medical Center and VA Connecticut Medical Center to determine if Patient Priorities Care reduces treatment burden, increases priorities-aligned home and community services, and sets shared health outcome goals compared with usual care. The investigators will randomize at the patient level rather than clinic or clinician level to evaluate the effect of identifying patient priorities on clinician decision making and alignment of care with identified priorities.

02

Conditions studied

  • Multiple Chronic Conditions
  • Decision Making, Shared

Keywords

  • Patient Centered Care
  • Geriatrics
03

In context

Multiple Chronic Conditions

89 studies on the registry are indexed under Multiple Chronic Conditions; 16 are open to participants now.

This study's enrollment of 437 is above the median of 128 across 71 interventional studies indexed under Multiple Chronic Conditions.

Browse Multiple Chronic Conditions studies →

Lead sponsor

VA Office of Research and Development is the lead sponsor of 1,771 studies on the registry; 392 are open to participants now.

Of its 213 completed or terminated interventional studies of FDA-regulated products, 185 (87%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
65 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • 2 encounters in prior 18 months
  • 3 active health problems on active problem list or prescribed 10 medications

Exclusion criteria

Exclusion Criteria:

  • nursing home resident
  • end stage renal disease on dialysis
  • active serious mental illness (psychosis, schizophrenia, etc)
  • active substance use disorder
  • complete hearing loss
  • dementia
  • Non-English speaker (translator required)
  • 4 or more no-show appointments in the last 6 months
  • the investigators will present a list of eligible patients to PCPs prior to chart review to identify patients who the PCP:

    • a) believes cannot participate independently or provide due to cognitive impairment
    • b) "would not be surprised if the patient passed away within the next 12 months?"
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
437 participants (actual)

Study arms

  • Experimental
    Patient Priorities Care

    A facilitator will schedule a PPC facilitation encounter 2-3 weeks before an upcoming PCP visit. The facilitator conducts a structured assessment using a written conversation guide that begins with general questions establishing what is most important to Veterans about their health and moves toward establishing specific goals (actionable outcomes), and what patients are willing/not willing to do to achieve these goals (care preferences). The result is a structured patient priorities report delivered to PCPs designed to facilitate changes in the patient's care plan to align it with his/her priorities. In the subsequent visit, the PCP will use one or more of the established PPC decisional strategies to align care with patients' priorities. Education for PCPs about the facilitation process, the patient priorities report, and the decisional strategies occurs prior to the PCP seeing any intervention patients. The PCP will document changes in care made to achieve the identified priorities.

    Behavioral: Patient Priorities Care

  • Placebo comparator
    Usual Care

    PCPs will not be alerted when an encounter involves a UC group participant. UC participant visits will appear the same as all other unenrolled patient encounters. UC participants will not receive any additional preparation

    Other: Usual Care

  • No intervention
    Primary Care Providers

    Enrolled PCPs will receive brief training on strategies to align care with priorities. PCPs will receive an electronic alert to review the health priorities note written by the facilitators before the participant's upcoming (within 1-2 weeks) clinic visit. PCPs will use the health priorities note to guide communication and decision making with their patients regarding their care recommendations. Eligible patients of the enrolled PCPs will be randomized into either the PPC or UC study arms

Interventions

  • BehavioralPatient Priorities Care

    A facilitator will schedule a PPC facilitation encounter 2-3 weeks before an upcoming PCP visit. The facilitator conducts a structured assessment using a written conversation guide that begins with general questions establishing what is most important to Veterans about their health and moves toward establishing specific goals (actionable outcomes), and what patients are willing/not willing to do to achieve these goals (care preferences). The result is a structured patient priorities report delivered to PCPs designed to facilitate changes in the patient's care plan to align it with his/her priorities. In the subsequent visit, the PCP will use one or more of the established PPC decisional strategies to align care with patients' priorities. Education for PCPs about the facilitation process, the patient priorities report, and the decisional strategies occurs prior to the PCP seeing any intervention patients. The PCP will document changes in care made to achieve the identified priorities.

  • OtherUsual Care

    PCPs will not be alerted when an encounter involves a UC group participant. UC participant visits will appear the same as all other unenrolled patient encounters. PCPs will be trained to address the needs of UC participants based on their typical approach without the use of a facilitator or explicit process for identifying patient priorities. UC participants will not receive any additional preparation

06

What researchers measure

Primary outcomes

  1. Patient Reported Treatment Burden

    Measured by the validated Treatment Burden Questionnaire, treatment burden measures perceptions of burdensomeness of overall care and treatment burden (e.g., medication taking, self-monitoring, visits to the provider, tests, tasks to access and coordinate care) imposed by healthcare as assessed with 15 items; possible range, 0-150; Cronbach = 0.90; higher scores indicate greater perceived burden.

    Time frame: 4 month follow-up

  2. Number of Participants Reporting Home and Community Services Use

    Home and community based services includes care that supports independence and the ability to stay in one's own home. They are defined by the VA Geriatrics and Extended Care Data Analysis Center (GEC-DAC) as VA Long Term Services and Supports: adult day health care, home based primary care, homemaker and home health aide, hospice care, palliative care, respite care, skilled home health care, home telehealth, and home care services. For Home and community based services delivered by the VA, GEC-DAC has created a composite measure. Due to Department of Veterans Affairs policy changes after 2018, a significant proportion of VA home and community services and supports were delivered and paid by the Community Care Reimbursement System. As a result the Integrated Veteran Care Consolidation Data Sets (IVC-CDS) become a primary source for VA community care data. For the current study, we drew from both data sources: GEC-DAC and IVC-CDS.

    Time frame: 4 month follow-up

Secondary outcomes

  1. Shared Decision Making

    Measured using the CollaboRATE scale (3 items; possible range for each item 0-9; total range 0-27; Cronbach = 0.89; higher score indicates greater perceived shared decision-making and goal ascertainment).

    Time frame: 4 month follow-up

  2. Patients' Goal Setting

    Will measure patients' perceptions of whether health care decisions were collaborative and focused on their goals using the Older Patient Assessment of Chronic Illness Care (OPACIC) score (10 items; range, 1-5; total range 10-50; Cronbach = 0.87; higher scores indicate better perceived chronic disease care).

    Time frame: 4 month follow-up

  3. Ambulatory Care Utilization - Change in Care

    Medications added or stopped and diagnostic tests, referrals, and procedures ordered or avoided. Measured using a structured chart review tool using our validated process to guide uniform abstraction and classification to document if specific changes in care (i.e., medications, referrals, testing, self-management) are made.

    Time frame: 4 month follow-up

  4. Ambulatory Care Utilization - Type of Change

    Medications added or stopped and tests, referrals, and self-management tasks ordered or avoided. Measured using a structured chart review tool using our validated process to guide uniform abstraction and classification to identify changes based on adding, discontinuing, or avoiding treatment actions across all care types (i.e. medication, testing, referrals, self-management).

    Time frame: 4 month follow-up

07

Results

Posted Sep 14, 2026

Participant flow

Participant flow — Overall Study
MilestonePrimary Care ProvidersPatient Priorities CareUsual Care
Started17210210
Primary care providers enrolled (not randomized)1700
Intent to treat17209208
Treatment as received17167191
Follow-up17190191
Completed17190191
Not completed02019
Withdrew: Withdrawal by subject012
Withdrew: Lost to follow-up01515
Withdrew: Death042

Outcome measures

PrimaryPatient Reported Treatment Burden

Measured by the validated Treatment Burden Questionnaire, treatment burden measures perceptions of burdensomeness of overall care and treatment burden (e.g., medication taking, self-monitoring, visits to the provider, tests, tasks to access and coordinate care) imposed by healthcare as assessed with 15 items; possible range, 0-150; Cronbach = 0.90; higher scores indicate greater perceived burden.

Time frame:
4 month follow-up
Reported as:
Mean · Treatment Burden Score on a Scale
Patient Reported Treatment Burden
Treatment Burden Score on a ScalePatient Priorities CareUsual Care
Patient Reported Treatment Burden15.71 ± 17.3619.51 ± 26.47
Statistical analysis
  • Patient Priorities Care vs Usual Care · Regression, Linear · p = 0.02 · Mean difference (net): -5.16 · 95% CI -9.32 to -1.01Accounting for clustering within primary care provider and adjusted for age, comorbidity, and baseline value of the outcome.
PrimaryNumber of Participants Reporting Home and Community Services Use

Home and community based services includes care that supports independence and the ability to stay in one's own home. They are defined by the VA Geriatrics and Extended Care Data Analysis Center (GEC-DAC) as VA Long Term Services and Supports: adult day health care, home based primary care, homemaker and home health aide, hospice care, palliative care, respite care, skilled home health care, home telehealth, and home care services. For Home and community based services delivered by the VA, GEC-DAC has created a composite measure. Due to Department of Veterans Affairs policy changes after 2018, a significant proportion of VA home and community services and supports were delivered and paid by the Community Care Reimbursement System. As a result the Integrated Veteran Care Consolidation Data Sets (IVC-CDS) become a primary source for VA community care data. For the current study, we drew from both data sources: GEC-DAC and IVC-CDS.

Time frame:
4 month follow-up
Reported as:
Count of participants · Participants
Number of Participants Reporting Home and Community Services Use
ParticipantsPatient Priorities CareUsual Care
Number of Participants Reporting Home and Community Services Use2013
Statistical analysis
  • Patient Priorities Care vs Usual Care · Regression, Logistic · p = 0.29 · Risk difference (rd): 1.31 · 95% CI -1.21 to 3.83Accounting for clustering within primary care provider and adjusted for age, comorbidity, and baseline value of the outcome.
SecondaryShared Decision Making

Measured using the CollaboRATE scale (3 items; possible range for each item 0-9; total range 0-27; Cronbach = 0.89; higher score indicates greater perceived shared decision-making and goal ascertainment).

Time frame:
4 month follow-up
Reported as:
Mean · Score on a Scale
Shared Decision Making
Score on a ScalePatient Priorities CareUsual Care
Shared Decision Making24.99 ± 4.1224.72 ± 4.93
Statistical analysis
  • Patient Priorities Care vs Usual Care · Regression, Linear · p = 0.47 · Mean difference (net): 0.34 · 95% CI -0.55 to 1.20Accounting for clustering within primary care provider and adjusted for age, comorbidity, and baseline value of the outcome.
SecondaryPatients' Goal Setting

Will measure patients' perceptions of whether health care decisions were collaborative and focused on their goals using the Older Patient Assessment of Chronic Illness Care (OPACIC) score (10 items; range, 1-5; total range 10-50; Cronbach = 0.87; higher scores indicate better perceived chronic disease care).

Time frame:
4 month follow-up
Reported as:
Mean · Score on a Scale
Patients' Goal Setting
Score on a ScalePatient Priorities CareUsual Care
Patients' Goal Setting35.80 ± 11.1735.44 ± 10.29
Statistical analysis
  • Patient Priorities Care vs Usual Care · Regression, Linear · p = 0.71 · Mean difference (net): 0.42 · 95% CI -1.69 to 2.54Accounting for clustering within primary care provider and adjusted for age, comorbidity, and baseline value of the outcome.
SecondaryAmbulatory Care Utilization - Change in Care

Medications added or stopped and diagnostic tests, referrals, and procedures ordered or avoided. Measured using a structured chart review tool using our validated process to guide uniform abstraction and classification to document if specific changes in care (i.e., medications, referrals, testing, self-management) are made.

Time frame:
4 month follow-up
Reported as:
Count of units · Changes
Ambulatory Care Utilization - Change in Care
ChangesPatient Priorities CareUsual Care
Medication334335
Referral237201
Self-Management302278
Testing212223
SecondaryAmbulatory Care Utilization - Type of Change

Medications added or stopped and tests, referrals, and self-management tasks ordered or avoided. Measured using a structured chart review tool using our validated process to guide uniform abstraction and classification to identify changes based on adding, discontinuing, or avoiding treatment actions across all care types (i.e. medication, testing, referrals, self-management).

Time frame:
4 month follow-up
Reported as:
Count of units · Changes
Ambulatory Care Utilization - Type of Change
ChangesPatient Priorities CareUsual Care
Added858810
Discontinued6869
Avoided159158

Adverse events

Collected over Tracking of adverse events for each enrolled participant began after the date of their primary care provider visit and extended for the subsequent 6 months.. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Patient Priorities Care5/209 (2.4%)41/209 (19.6%)0/209 (0%)
Usual Care4/208 (1.9%)40/208 (19.2%)0/208 (0%)
Most frequent serious events
Most frequent serious events
EventPatient Priorities CareUsual Care
Emergency Department or Urgent Care VisitsGeneral disorders26/20924/208
Hospital Admissions or Observation StaysGeneral disorders15/20916/208

Baseline characteristics

Baseline demographics were not collected for Primary Care Providers.

Age, Continuous
Age, Continuous(Age)Patient Priorities CareUsual CareTotal
Mean75.40 ± 6.2674.92 ± 6.4275.19 ± 6.34
Sex/Gender, Customized
Sex/Gender, Customized(Participants)Patient Priorities CareUsual CareTotal
Male202196398
Female71118
Refused to Answer011
Race (NIH/OMB)
Race (NIH/OMB)(Participants)Patient Priorities CareUsual CareTotal
American Indian or Alaska Native213
Asian000
Native Hawaiian or Other Pacific Islander101
Black or African American414081
White153155308
More than one race6511
Unknown or Not Reported6713
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)Patient Priorities CareUsual CareTotal
Hispanic or Latino221537
Not Hispanic or Latino183187370
Unknown or Not Reported4610
08

Study locations

2 sites
  • VA Connecticut Healthcare System West Haven Campus, West Haven, CT
    West Haven, Connecticut 06516-2770, United States
  • Michael E. DeBakey VA Medical Center, Houston, TX
    Houston, Texas 77030-4211, United States
09

References and documents

Publications

  • Cohen AB, Paiva AL, Redding CA, Fried TR. Characteristics of Older Adults Who Cannot Identify a Healthcare Agent. J Gen Intern Med. 2022 Apr;37(5):1313-1314. doi: 10.1007/s11606-021-06798-2. Epub 2021 Apr 26. No abstract available. PubMed 33904034 ↗
  • Ouellet GM, Fried TR, Gilstrap LG, O'Leary JR, Austin AM, Skinner JS, Cohen AB. Anticoagulant Use for Atrial Fibrillation Among Persons With Advanced Dementia at the End of Life. JAMA Intern Med. 2021 Aug 1;181(8):1121-1123. doi: 10.1001/jamainternmed.2021.1819. PubMed 33970197 ↗
  • Naik AD, Shanahan ML, Dindo L, Mecca MC, Arney J, Amspoker AB, Wydermyer S, Banks J, Street RL Jr, Kiefer L, Zenoni M, Rosen T, Gonzalez RD, Catic A, Fried TR. An innovative approach to aligning healthcare with what matters most to patients: A hybrid type 1 trial protocol of patient priorities care for older adults with multiple chronic conditions. Contemp Clin Trials. 2024 Aug;143:107613. doi: 10.1016/j.cct.2024.107613. Epub 2024 Jun 22. PubMed 38914308 ↗
  • Vaughan EM, Johnson E, Naik AD, Amspoker AB, Balasubramanyam A, Virani SS, Ballantyne CM, Johnston CA, Foreyt JP. Long-Term Effectiveness of the TIME Intervention to Improve Diabetes Outcomes in Low-Income Settings: a 2-Year Follow-Up. J Gen Intern Med. 2022 Sep;37(12):3062-3069. doi: 10.1007/s11606-021-07363-7. Epub 2022 Feb 7. PubMed 35132555 ↗
  • Naik AD, Walling AM. Getting patients ready for "in the moment" decisions. J Am Geriatr Soc. 2022 Sep;70(9):2474-2477. doi: 10.1111/jgs.17935. Epub 2022 Jul 4. No abstract available. PubMed 35781226 ↗
  • Lee YK, Fried TR, Costello DM, Hajduk AM, O'Leary JR, Cohen AB. Perceived dementia risk and advance care planning among older adults. J Am Geriatr Soc. 2022 May;70(5):1481-1486. doi: 10.1111/jgs.17721. Epub 2022 Mar 11. PubMed 35274737 ↗
  • Zang E, Shi Y, Wang X, Wu B, Fried TR. Trajectories of physical functioning among US adults with cognitive impairment. Age Ageing. 2022 Jun 1;51(6):afac139. doi: 10.1093/ageing/afac139. PubMed 35751871 ↗
  • Fried TR. Giving up on the objective of providing goal-concordant care: Advance care planning for improving caregiver outcomes. J Am Geriatr Soc. 2022 Oct;70(10):3006-3011. doi: 10.1111/jgs.18000. Epub 2022 Aug 16. PubMed 35974460 ↗
  • Amenta E, Grigoryan L, Rajan SS, Ramsey D, Kramer JR, Walder A, Chou A, Van JN, Krein SL, Hysong S, Naik AD, Trautner BW. Quantifying the Implementation and Cost of a Multisite Antibiotic Stewardship Intervention for Asymptomatic Bacteriuria. Antimicrob Steward Healthc Epidemiol. 2023 Jun 30;3(1):e115. doi: 10.1017/ash.2023.198. eCollection 2023. PubMed 37502251 ↗
  • Dindo L, Chaison A, Rodrigues M, Woods K, Mark A, Boykin D. Feasibility of delivering a virtual 1-day acceptance and commitment therapy workshop to rural veterans through community partnerships. Contemp Clin Trials Commun. 2023 Jun 20;34:101178. doi: 10.1016/j.conctc.2023.101178. eCollection 2023 Aug. PubMed 37409189 ↗
  • Chary AN, Brickhouse E, Torres B, Santangelo I, Carpenter CR, Liu SW, Godwin KM, Naik AD, Singh H, Kennedy M. Leveraging the Electronic Health Record to Implement Emergency Department Delirium Screening. Appl Clin Inform. 2023 May;14(3):478-486. doi: 10.1055/a-2073-3736. Epub 2023 Apr 13. PubMed 37054983 ↗
  • Chary A, Brickhouse E, Torres B, Cameron-Comasco L, Lee S, Punches B, Skains RM, Naik AD, Quatman-Yates CC, Kennedy M, Southerland LT, Liu S. Physical therapy consultation in the emergency department for older adults with falls: A qualitative study. J Am Coll Emerg Physicians Open. 2023 Apr 19;4(2):e12941. doi: 10.1002/emp2.12941. eCollection 2023 Apr. PubMed 37090953 ↗
  • Chary A, Hernandez N, Rivera AP, Ramont V, Obi T, Santangelo I, Ritchie C, Singh H, Hayden E, Naik AD, Liu S, Kennedy M. Perceptions of Acute Care Telemedicine Among Caregivers for Persons Living with Dementia: A Qualitative Study. J Appl Gerontol. 2024 Jan;43(1):69-77. doi: 10.1177/07334648231198018. Epub 2023 Sep 8. PubMed 37682526 ↗
  • Freytag J, Mishra RK, Street RL Jr, Catic A, Dindo L, Kiefer L, Najafi B, Naik AD. Using Wearable Sensors to Measure Goal Achievement in Older Veterans with Dementia. Sensors (Basel). 2022 Dec 16;22(24):9923. doi: 10.3390/s22249923. PubMed 36560290 ↗
  • Razjouyan J, Horstman MJ, Orkaby AR, Virani SS, Intrator O, Goyal P, Amos CI, Naik AD. Developing a Parsimonious Frailty Index for Older, Multimorbid Adults With Heart Failure Using Machine Learning. Am J Cardiol. 2023 Mar 1;190:75-81. doi: 10.1016/j.amjcard.2022.11.044. Epub 2022 Dec 23. PubMed 36566620 ↗
  • Crespo-Ramos G, Bebu I, Krause-Steinrauf H, Hoogendoorn CJ, Fang R, Ehrmann D, Presley C, Naik AD, Katona A, Walker EA, Cherrington A, Gonzalez JS; GRADE Research Group. Emotional distress and cardiovascular disease risk among participants enrolled in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) study. Diabetes Res Clin Pract. 2023 Sep;203:110808. doi: 10.1016/j.diabres.2023.110808. Epub 2023 Jun 30. PubMed 37394014 ↗
  • Ritchey KC, Solberg LM, Citty SW, Kiefer L, Martinez E, Gray C, Naik AD. Guiding Post-Hospital Recovery by 'What Matters:' Implementation of Patient Priorities Identification in a VA Community Living Center. Geriatrics (Basel). 2023 Jul 4;8(4):74. doi: 10.3390/geriatrics8040074. PubMed 37489322 ↗
  • Chary AN, Torres B, Brickhouse E, Santangelo I, Godwin KM, Naik AD, Carpenter CR, Liu SW, Kennedy M. Language discordance in emergency department delirium screening: Results from a qualitative interview-based study. J Am Geriatr Soc. 2023 Apr;71(4):1328-1331. doi: 10.1111/jgs.18147. Epub 2022 Nov 30. No abstract available. PubMed 36451059 ↗
  • Chary AN, Naik AD, Kennedy M. Reply to: Expanding options to include language barriers for predicting postoperative delirium in geriatric patients. J Am Geriatr Soc. 2023 Jan;71(1):294-295. doi: 10.1111/jgs.18083. Epub 2022 Oct 17. No abstract available. PubMed 36254368 ↗
  • Naik AD. Measuring patient-centered care to improve hospital experiences of older adults. J Am Geriatr Soc. 2022 Dec;70(12):3348-3351. doi: 10.1111/jgs.18048. Epub 2022 Sep 20. No abstract available. PubMed 36125214 ↗
  • Scholle SH, Naik AD. A Person-Centered Care Dashboard for Individuals With Complex Health Care Needs-Charting a Course for the Future. JAMA Netw Open. 2022 Aug 1;5(8):e2224945. doi: 10.1001/jamanetworkopen.2022.24945. No abstract available. PubMed 35917127 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: No

10

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Sep 2022 to primary completion in Apr 2025, 31 months.

Results were first posted in Sep 2026, 1 year 4 months after primary completion.

Of 59 non-industry interventional studies with no phase under Multiple Chronic Conditions, half reached primary completion within 20 months of starting (the median), counting those still running; a quarter within 11 and three quarters within 37. This study's 31 months is above that.

Counting every sponsor, half of 59 studies reached it within 20 months; a quarter within 11 and three quarters within 37.

Multiple Chronic Conditions covers many different conditions, not one, so the studies compared here vary widely. Read these figures as a rough guide.

How these figures are worked out, and which studies are left out of them.

Registered
Jun 4, 2021
First posted
Jun 10, 2021
StartActual
Sep 15, 2022
Primary completionActual
Apr 30, 2025
CompletionActual
Jun 30, 2025
Results first posted
Sep 14, 2026
Last update
Sep 14, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 14, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT04922320
Responsible party
Sponsor
First posted
Jun 10, 2021
Start date
Sep 15, 2022
Primary completion
Apr 30, 2025
Completion
Jun 30, 2025
Results posted
Sep 14, 2026
Last update
Sep 14, 2026

Study contacts

Lilian N. Dindo, PhD
principal investigator · Michael E. DeBakey VA Medical Center, Houston, TX

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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