ClinicalTrials.gg
CompletedNCT03531814Updated Jun 11, 2024Results posted

Medication Adherence in Children, Adolescents and Adults With Neurofibromatosis Type 1(NF1) on Clinical Treatment Trials

An interventional study of Medication Event Monitoring System (MEMS^TM) and Questionnaires in Neurofibromatosis 1 and Neurofibroma, Plexiform, sponsored by National Cancer Institute (NCI). Completed at 1 site in United States. Open to participants aged 3 Years to 59 Years. Per ClinicalTrials.gov, last updated 2024-06-11.

Sponsored by National Cancer Institute (NCI) · Not applicable, Interventional, and Supportive care

Phase
Not applicable
Study type
Interventional
Enrollment
12
Allocation
Non-randomized
Ages
3 Years to 59 Years
Sex
All
01

Study summary

Background:

Neurofibromatosis type 1 (NF1) is a genetic disorder. It has a broad variety of effects on the body. Up to half of people with NF1 get plexiform neurofibromas (PNs). These are benign tumors. But they can have serious effects like pain and disfigurement. To treat PNs, a person may have to take medicine every day for a long period of time. Researchers think that it will be important for people to take the medicine regularly for it to work. They want to study how well people with NF1 follow their treatment plan for PNs.

Objective:

To study how often people with neurofibromatosis type 1 take medicine that has been prescribed to them for treating plexiform neurofibromas.

Eligibility:

People ages 3-59 already enrolled in an NF1 clinical trial

Design:

Participants will need access to the internet to do the study activities.

Parents or caregivers will do some study activities for child participants.

Participants will complete 5 questionnaires. They will take about 20 minutes total. The topics will be:

Demographic data

Recent life events

How much pain interferes with daily life

Ability to focus and pay attention to tasks

Emotional distress or depression

Participants will mark down every time they take a dose of the medicine in their clinical trial. They will use a form the researchers give them. The pill bottles they get in their trial will have a chip in the cap that will record when it is opened. Participants will keep a daily diary of their medicine. Their pills will be counted at clinical trial visits.

Participants may have more short questionnaires. They may have interviews by phone or video.

Read the detailed description

Background:

  • Neurofibromatosis type 1 (NF1) is a genetic disorder that affects approximately 1 in 3,500 individuals and is associated with a broad variety of symptoms and physical findings.
  • Plexiform neurofibromas (PN) are histologically benign tumors which occur in 25-50% of patients with NF1 and can lead to significant morbidity.
  • Oral therapeutic options for the treatment of plexiform neurofibromas are being actively developed, however early clinical data indicate that prolonged treatment over the course of months to years will likely be needed to maintain clinical efficacy
  • Long-term medication adherence is an ongoing challenge for patients with many types of chronic illness, and clinical experience makes us strongly suspect patients with NF1 will likely have this issue as well.
  • In other diseases, such as human immunodeficiency virus (HIV) and Acute Lymphoblastic Leukemia, decreased medication adherence has been associated with poorer clinical outcomes, and this may be the case for NF1 as well.
  • The medication event monitoring systems (MEMS\^TM) uses a computerized method of tracking the dates and times of a pill bottle being opened and has been shown to be a more accurate measure of medication adherence than patient diaries or pill counts in other patient populations.
  • Assessing medication adherence over time in this unique population will be essential for assessing any impact on medical outcomes, identifying potential behavioral interventions, and targeting patients most at risk for nonadherence moving forward.

Objective:

  • To establish the feasibility of using MEMS\^TM to monitor medication adherence in the NF1 population

Eligibility:

  • Subjects must have a diagnosis of NF1 and be between 3 and 59 years of age
  • Participants must be enrolled on a clinical trial for an oral medication in pill (tablet or capsule) form directed at the treatment of plexiform neurofibroma(s)

Design:

  • This single-site, longitudinal study will recruit children and adults with NF1 who are currently enrolled in a treatment protocol for a drug targeting PN volume reduction.
  • MEMS\^TM caps will be used to monitor adherence over time along with patient diaries and pill counts.
  • Patients with MEMS\^TM cap data indicating \<90% adherence at any study visit (typically across 3 - 6 cycles) will be administered a measure assessing barriers to adherence electronically and will be interviewed to evaluate what factors might contribute to decreased medication adherence and what potential interventions they consider useful.
02

Conditions studied

  • Neurofibromatosis 1
  • Neurofibroma, Plexiform

Keywords

  • Plexiform Neurofibromas
  • Medication Event Monitoring Systems
  • Oral Medication
03

In context

Neurofibromatosis 1

176 studies on the registry are indexed under Neurofibromatosis 1; 43 are open to participants now.

This study's enrollment of 12 is below the median of 35 across 114 interventional studies indexed under Neurofibromatosis 1.

Browse Neurofibromatosis 1 studies →

Lead sponsor

National Cancer Institute (NCI) is the lead sponsor of 3,556 studies on the registry; 336 are open to participants now.

Of its 411 completed or terminated interventional studies of FDA-regulated products, 373 (91%) have results posted.

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

04

Who can participate

Ages eligible
3 Years to 59 Years
Sexes eligible
All
Accepts healthy volunteers
No

Eligibility criteria

  • INCLUSION CRITERIA:

Inclusion Criteria for Patient

  • Patients must be between 3 and 59 years of age at the time of the baseline assessment.
  • Patients must be enrolled on a neurofibromatosis Type 1 (NF1) clinical trial for an oral medication directed at the treatment of plexiform neurofibroma(s) (enrollment on this study to occur ideally within 1st cycle) Patients must have regular access to a computer or electronic device (e.g., smartphone, tablet) with internet access.
  • Must have a parent or adult primary caregiver willing to participate in the study.
  • Ability of subject or Legally Authorized Representative (LAR) to understand and the willingness to sign a written document.
  • Subjects must be able to read and comprehend the English language.

Inclusion Criteria for Parents or Caregivers

  • Must be a parent or primary caregiver of a child (or if applicable adult patient) of diagnosed with NF1 and enrolled on a clinical trial for oral medication.
  • Must have a child (or if applicable adult patient) willing to participate in the study
  • Must have regular access to a computer or electronic device (e.g., smartphone, tablet) with internet access.
  • Must be able to speak and understand English.
  • Ability of subject to understand and the willing to sign a written informed consent document.

EXCLUSION CRITERIA:

Exclusion Criteria for Patient

  • In the opinion of the principal investigator (PI) or an associate investigator (AI), the subject has significant cognitive or emotional difficulties that would prevent them from being able to understand and/or participate fully in the study or complete the measures. Though these patients might be receiving assistance in taking medication from a caregiver, it is likely that their medication taking routine would be significantly different from the general population of patients with NF1.
  • Patients receiving the study drug in liquid form, since the use of medication event monitoring systems (MEMS\^TM) caps prohibits liquid dosing.

Exclusion Criteria for Parent or Caregiver

None

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
Supportive care
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
12 participants (actual)

Study arms

  • Experimental
    Adult Participants

    Questionnaires and use of the medication event monitoring system (MEMS\^TM)

    Behavioral: Medication Event Monitoring System (MEMS^TM) · Other: Questionnaires

  • Experimental
    Pediatric Participants 8+ Years

    Questionnaires and use of the medication event monitoring system (MEMS\^TM)

    Behavioral: Medication Event Monitoring System (MEMS^TM) · Other: Questionnaires

Interventions

  • BehavioralMedication Event Monitoring System (MEMS^TM)

    A computerized method of tracking the dates and times of a pill bottle being opened.

  • OtherQuestionnaires

    Adult and pediatric participants completed a series of questionnaires to assess medication adherence, demographics, life events, and barriers to adherence.

06

What researchers measure

Primary outcomes

  1. Proportion of Enrolled Participants for Which we Are Able to Collect Data From the Medication Event Monitoring Systems (MEMS^TM) System for Two or More Cycles of Treatment (Target = 75%)

    The proportion of enrolled participants are reported for individuals who had two full cycles of data recorded by the medication event monitoring systems (MEMS\^TM) system. To monitor medication adherence the medication event monitoring system (MEMSTM) used to track the dates and times a pill bottle was opened. At least 2 cycles of medication adherence are considered a success.

    Time frame: Two cycles, approximately 56 days

  2. Median Number of Cycles Monitored for Participants From the Medication Event Monitoring System (MEMS^TM)

    To monitor medication adherence the medication event monitoring system (MEMSTM) was used to track the dates and times a pill bottle was opened. We calculated the median number of cycles monitored for all patients.

    Time frame: Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days

Secondary outcomes

  1. Average Percent Medication Adherence Over Time Based on the Medication Event Monitoring Systems (MEMS^TM) Pill Cap Data

    To monitor medication adherence the medication event monitoring system (MEMS\^TM) was used to track the dates and times a pill bottle was opened. The number of times the bottle was opened was divided by the total number of times the bottle should be opened according to provider instructions. The mean of these numbers was computed across groups of cycles 1-4, 5-8, 9-12 and 13-18. A dose was considered adherent if it was taken within an 11-to-13-hour interval from the prior correct dose. The mean was computed by summing medication adherence across the cycle and dividing it by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data to compute the average. Higher number is better adherence.

    Time frame: Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days

  2. ANOVA (Analysis of Variance) Comparing Average Adherence Measured by Medication Event Monitoring Systems (MEMS^TM), Medication Diary, and Pill Count

    A repeated-measures ANOVA was used to compare three adherence assessment methods over time. The medication event monitoring system (MEMS\^TM) was used to track the dates and times a pill bottle was opened. The number of times the bottle was opened was divided by the total number of times the bottle should be opened according to provider instructions. Pill count was used to assess how many pills were returned at each restaging visit compared to the number that should be returned if all medication was taken as prescribed. The daily diary was completed by participants, documenting date and timing of doses. The mean of these numbers was computed across groups of cycles (1 cycle = 28 days) 1-4, 5-8, 9-12 and 13-18 for the MEMS\^TM, Pill Count, and Daily Diary.

    Time frame: Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), an range of approximately 112 days to 504 days

  3. Spearman Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Age

    The outcome measures correlations between two variables and the resulting correlation coefficient describes the strength of the relationship between the variables. To assess the relationship between the adherence method MEMS\^TM cap and age, Spearman correlation was used. For this analysis, MEMS\^TM was defined as the average mean adherence for cycles 1-4, cycles 5-8, cycles 9-12, and cycles 13-18. A dose was considered adherent if it was taken within an 11-to-13-hour interval from the prior correct dose. The mean was computed by summing medication adherence across the cycle and dividing it by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data to compute the average.

    Time frame: Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days

  4. Spearman Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap for Years of Education

    The outcome measures correlations between two variables and the resulting correlation coefficient describes the strength of the relationship between the variables. To assess the relationship between the adherence method MEMS\^TM cap for years of education, Spearman correlation was used. For this analysis, MEMS\^TM was defined as the average mean adherence for cycles 1-4. A dose was considered adherent if it was taken within an 11-to-13-hour interval from the prior correct dose. The mean was computed by summing medication adherence across the cycle and dividing it by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data to compute the average. Number of years of education was collected through participant self-report and was a continuous variable.

    Time frame: Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days

  5. Spearman's Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Quality of Life (QOL) Patient-Reported Outcomes Measurement Information System (PROMIS) Pain Interference T-scores

    Outcome measures correlations between 2 variables and the resulting correlation coefficient describes the strength of the relationship between the variables. To assess the relationship between the adherence method MEMS\^TM cap \& PROMIS Pain Interference T- Scores (Same for all PROMIS measures) Spearman correlation was used. For this analysis, MEMS\^TM was defined as the average mean adherence for cycles 1-4. A dose was considered adherent if it was taken within an 11-13hour interval from the prior correct dose. The mean was computed by summing medication adherence across the cycle \& dividing it by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data to compute the average. PROMIS Pain Interference raw scores transformed to T-scores for analysis (mean:50,standard deviation: 10, higher scores is more pain interference, T of 55 is cutoff-mild pain interference).

    Time frame: Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days

  6. Spearman's Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Quality of Life (QOL) Patient-Reported Outcomes Measurement Information System (PROMIS) Depression T-scores

    The outcome measures correlations between two variables and the resulting correlation coefficient describes the strength of the relationship between the variables. To assess the relationship between the adherence method MEMS\^TM cap and PROMIS Depression Scores, Spearman correlation was used. For this analysis, MEMS\^TM was defined as the average mean adherence for cycles 1-4. A dose was considered adherent if it was taken within an 11-to-13-hour interval from the prior correct dose. The mean was computed by summing medication adherence across the cycle and dividing it by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data to compute the average. PROMIS Depression raw scores were transformed to T-scores for analysis (mean: 50, standard deviation: 10, higher scores is more depression symptoms, T of 55 is the cut off for mild depressive symptoms).

    Time frame: Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days

  7. Spearman's Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Quality of Life (QOL) Patient-Reported Outcomes Measurement Information System (PROMIS) Cognitive Interference T-scores

    The outcome measures correlations between two variables and the resulting correlation coefficient describes the strength of the relationship between the variables. To assess the relationship between the adherence method MEMS\^TM cap and PROMIS Cognitive Interference Scores, Spearman correlation was used. For this analysis, MEMS\^TM was defined as the average mean adherence for cycles 1-4. A dose was considered adherent if it was taken within an 11-to-13-hour interval from the prior correct dose. The mean was computed by summing medication adherence across the cycle and dividing it by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data to compute the average. PROMIS Cognitive Interference raw scores were transformed to T-scores for analysis (mean: 50, standard deviation: 10, higher scores is more cognitive interference, T of 60 represents mild interference).

    Time frame: Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days

  8. Barriers to Adherence Questionnaire

    Participants completed a barriers questionnaire to assess barriers most frequently endorsed on the questionnaire. The questionnaire focused on any medication adherence issues during the trial (e.g., missed doses). Participants were given 16 possible reasons that they may have missed a dose and were asked to check all items that caused them to miss a dose of medication. Participants were also able to provide additional reasons for missing medication that were not on the form.

    Time frame: Baseline and follow-up (between cycles 8 and 12; or after cycle 18/when taken off of study (range of 224-504 days)

  9. Spearman's Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Barriers to Adherence Questionnaire

    The outcome measures Spearman correlations between two variables and the resulting correlation coefficient describes the strength of the relationship between the variables. MEMS\^TM was defined as the average mean adherence, an adherent dose was taken 11-13 hours from the prior correct dose. The mean was computed by dividing medication adherence across the cycle by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data. Barriers to adherence was calculated by summing the number of barriers for each participant at follow-up. Participants were given 16 possible reasons that they may have missed a dose and were asked to check all items that apply to them.

    Time frame: Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days

  10. Medication Event Monitoring Systems (MEMS^TM) Cap and Stressful Life Events: Number of Stressful Life Events Endorsed in the Life Events Checklist

    To assess the relationship between the adherence method MEMS\^TM cap and stressful life events (i.e., the number of stressful life events endorsed in the Life Events Checklist), Spearman correlation was used. Participants complete a 22-item questionnaire to report stressful events that impact medication adherence. MEMS\^TM was defined as the average mean adherence, an adherent dose was taken 11-13 hours from the prior correct dose. The mean was computed by dividing medication adherence across the cycle by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data.

    Time frame: Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days

  11. Medication Event Monitoring Systems (MEMS^TM) Cap and Rating of Overall Stress

    To assess the relationship between the adherence method MEMS\^TM cap and rating of overall stress, Spearman correlation was used. Participants complete a 1-item question asking them to rate their stress from 0 - 10, with higher numbers being more stressed. MEMS\^TM was defined as the average mean adherence, an adherent dose was taken 11-13 hours from the prior correct dose. The mean was computed by dividing medication adherence across the cycle by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data.

    Time frame: Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days

Other outcomes

  1. Number of Participants With Serious and/or Non-serious Adverse Events

    Here is the number of participants with serious and/or non-serious adverse events. A non-serious adverse event is any untoward medical occurrence. A serious adverse event is an adverse event or suspected adverse reaction that results in death, a life-threatening adverse drug experience, hospitalization, disruption of the ability to conduct normal life functions, congenital anomaly/birth defect or important medical events that jeopardize the patient or subject and may require medical or surgical intervention to prevent one of the previous outcomes mentioned.

    Time frame: Baseline to cycle 18 (end of study), approximately 504 days (1.38 years)

07

Results

Posted Jun 11, 2024

Participant flow

Participant flow — Overall Study
MilestoneAdult Participants (18+ Years)Pediatric Participants (3-17 Years)
Started120
Completed120
Not completed00

Outcome measures

PrimaryProportion of Enrolled Participants for Which we Are Able to Collect Data From the Medication Event Monitoring Systems (MEMS^TM) System for Two or More Cycles of Treatment (Target = 75%)

The proportion of enrolled participants are reported for individuals who had two full cycles of data recorded by the medication event monitoring systems (MEMS\^TM) system. To monitor medication adherence the medication event monitoring system (MEMSTM) used to track the dates and times a pill bottle was opened. At least 2 cycles of medication adherence are considered a success.

Time frame:
Two cycles, approximately 56 days
Reported as:
Number · Proportion of participants
Proportion of Enrolled Participants for Which we Are Able to Collect Data From the Medication Event Monitoring Systems (MEMS^TM) System for Two or More Cycles of Treatment (Target = 75%)
Proportion of participantsAdult Participants (18+ Years)
Proportion of Enrolled Participants for Which we Are Able to Collect Data From the Medication Event Monitoring Systems (MEMS^TM) System for Two or More Cycles of Treatment (Target = 75%)0.9167
PrimaryMedian Number of Cycles Monitored for Participants From the Medication Event Monitoring System (MEMS^TM)

To monitor medication adherence the medication event monitoring system (MEMSTM) was used to track the dates and times a pill bottle was opened. We calculated the median number of cycles monitored for all patients.

Time frame:
Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days
Reported as:
Median · Cycles
Median Number of Cycles Monitored for Participants From the Medication Event Monitoring System (MEMS^TM)
CyclesAdult Participants (18+ Years)
Median Number of Cycles Monitored for Participants From the Medication Event Monitoring System (MEMS^TM)16 (0 to 18)
SecondaryAverage Percent Medication Adherence Over Time Based on the Medication Event Monitoring Systems (MEMS^TM) Pill Cap Data

To monitor medication adherence the medication event monitoring system (MEMS\^TM) was used to track the dates and times a pill bottle was opened. The number of times the bottle was opened was divided by the total number of times the bottle should be opened according to provider instructions. The mean of these numbers was computed across groups of cycles 1-4, 5-8, 9-12 and 13-18. A dose was considered adherent if it was taken within an 11-to-13-hour interval from the prior correct dose. The mean was computed by summing medication adherence across the cycle and dividing it by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data to compute the average. Higher number is better adherence.

Time frame:
Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days
Reported as:
Mean · percent
Average Percent Medication Adherence Over Time Based on the Medication Event Monitoring Systems (MEMS^TM) Pill Cap Data
percentAdult Participants (18+ Years)
Cycles 1-483.39 ± 16.71
Cycles 5-887.01 ± 14.62
Cycles 9-1284.77 ± 15.44
Cycles 13-1879.68 ± 20.85
SecondaryANOVA (Analysis of Variance) Comparing Average Adherence Measured by Medication Event Monitoring Systems (MEMS^TM), Medication Diary, and Pill Count

A repeated-measures ANOVA was used to compare three adherence assessment methods over time. The medication event monitoring system (MEMS\^TM) was used to track the dates and times a pill bottle was opened. The number of times the bottle was opened was divided by the total number of times the bottle should be opened according to provider instructions. Pill count was used to assess how many pills were returned at each restaging visit compared to the number that should be returned if all medication was taken as prescribed. The daily diary was completed by participants, documenting date and timing of doses. The mean of these numbers was computed across groups of cycles (1 cycle = 28 days) 1-4, 5-8, 9-12 and 13-18 for the MEMS\^TM, Pill Count, and Daily Diary.

Time frame:
Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), an range of approximately 112 days to 504 days
Reported as:
Number · ANOVA F-Value
ANOVA (Analysis of Variance) Comparing Average Adherence Measured by Medication Event Monitoring Systems (MEMS^TM), Medication Diary, and Pill Count
ANOVA F-ValueAdult Participants (18+ Years)
Cycles 1-411.944
Cycles 5-87.770
Cycles 9-126.670
Cycles 13-186.333
Statistical analysis
  • Adult Participants (18+ Years) · ANOVA · p = 0.006 (The Greenhouse-Geisser correction was used because Mauchly's test of sphericity was significant. The reported p-value represents the probability of the differences in the averages of adherence assessment methods for cycles 1-4.)
  • Adult Participants (18+ Years) · ANOVA · p = 0.021 (The Greenhouse-Geisser correction was used because Mauchly's test of sphericity was significant. The reported p-value represents the probability of the differences in the averages of adherence assessment methods for cycles 5-8.)
  • Adult Participants (18+ Years) · ANOVA · p = .034 (The Greenhouse-Geisser correction was used because Mauchly's test of sphericity was significant. The reported p-value represents the probability of the differences in the averages of adherence assessment methods for cycles 9-12.)
  • Adult Participants (18+ Years) · ANOVA · p = .040 (The Greenhouse-Geisser correction was used because Mauchly's test of sphericity was significant. The reported p-value represents the probability of the differences in the averages of adherence assessment methods for cycles 13-18.)
SecondarySpearman Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Age

The outcome measures correlations between two variables and the resulting correlation coefficient describes the strength of the relationship between the variables. To assess the relationship between the adherence method MEMS\^TM cap and age, Spearman correlation was used. For this analysis, MEMS\^TM was defined as the average mean adherence for cycles 1-4, cycles 5-8, cycles 9-12, and cycles 13-18. A dose was considered adherent if it was taken within an 11-to-13-hour interval from the prior correct dose. The mean was computed by summing medication adherence across the cycle and dividing it by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data to compute the average.

Time frame:
Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days
Reported as:
Number · Correlation coefficient
Spearman Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Age
Correlation coefficientAdult Participants (18+ Years)
Cycles 1-4-0.210
Cycles 5-80.134
Cycles 9-12.095
Cycles 13-18.333
Statistical analysis
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = 0.536 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 1-4.) · Spearman's correlation: -0.210 · 95% CI -0.729 to 0.463
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = .713 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 5-8.) · Spearman's correlation: 0.134 · 95% CI -0.557 to 0.715
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = .823 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 9-12.) · Spearman's correlation: .095 · 95% CI -0.668 to 0.761
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = .420 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 13-18.) · Spearman's correlation: .333 · 95% CI -0.505 to 0.848
SecondarySpearman Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap for Years of Education

The outcome measures correlations between two variables and the resulting correlation coefficient describes the strength of the relationship between the variables. To assess the relationship between the adherence method MEMS\^TM cap for years of education, Spearman correlation was used. For this analysis, MEMS\^TM was defined as the average mean adherence for cycles 1-4. A dose was considered adherent if it was taken within an 11-to-13-hour interval from the prior correct dose. The mean was computed by summing medication adherence across the cycle and dividing it by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data to compute the average. Number of years of education was collected through participant self-report and was a continuous variable.

Time frame:
Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days
Reported as:
Number · Correlation coefficient
Spearman Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap for Years of Education
Correlation coefficientAdult Participants (18+ Years)
Cycles 1-4-0.333
Cycles 5-8-0.309
Cycles 9-12-0.259
Cycles 13-18-0.222
Statistical analysis
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = 0.317 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 1-4.) · Spearman's correlation: -0.333 · 95% CI -0.785 to 0.352
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = .385 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 5-8.) · Spearman's correlation: -0.309 · 95% CI -0.794 to 0.416
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = .535 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 9-12.) · Spearman's correlation: -0.259 · 95% CI -0.824 to 0.563
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = .597 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 13-18.) · Spearman's correlation: -0.222 · 95% CI -0.811 to 0.589
SecondarySpearman's Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Quality of Life (QOL) Patient-Reported Outcomes Measurement Information System (PROMIS) Pain Interference T-scores

Outcome measures correlations between 2 variables and the resulting correlation coefficient describes the strength of the relationship between the variables. To assess the relationship between the adherence method MEMS\^TM cap \& PROMIS Pain Interference T- Scores (Same for all PROMIS measures) Spearman correlation was used. For this analysis, MEMS\^TM was defined as the average mean adherence for cycles 1-4. A dose was considered adherent if it was taken within an 11-13hour interval from the prior correct dose. The mean was computed by summing medication adherence across the cycle \& dividing it by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data to compute the average. PROMIS Pain Interference raw scores transformed to T-scores for analysis (mean:50,standard deviation: 10, higher scores is more pain interference, T of 55 is cutoff-mild pain interference).

Time frame:
Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days
Reported as:
Number · Correlation coefficient
Spearman's Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Quality of Life (QOL) Patient-Reported Outcomes Measurement Information System (PROMIS) Pain Interference T-scores
Correlation coefficientAdult Participants (18+ Years)
Cycles 1-4-.215
Cycles 5-80.049
Cycles 9-12-0.048
Cycles 13-18-0.167
Statistical analysis
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = 0.526 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 1-4.) · Spearman's correlation: -.215 · 95% CI -0.731 to 0.459
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = .894 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 5-8.) · Spearman's correlation: 0.049 · 95% CI -0.613 to 0.670
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = .911 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 9-12) · Spearman's correlation: -0.048 · 95% CI -0.740 to 0.694
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = .693 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 13-18) · Spearman's correlation: -0.167 · 95% CI -0.790 to 0.626
SecondarySpearman's Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Quality of Life (QOL) Patient-Reported Outcomes Measurement Information System (PROMIS) Depression T-scores

The outcome measures correlations between two variables and the resulting correlation coefficient describes the strength of the relationship between the variables. To assess the relationship between the adherence method MEMS\^TM cap and PROMIS Depression Scores, Spearman correlation was used. For this analysis, MEMS\^TM was defined as the average mean adherence for cycles 1-4. A dose was considered adherent if it was taken within an 11-to-13-hour interval from the prior correct dose. The mean was computed by summing medication adherence across the cycle and dividing it by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data to compute the average. PROMIS Depression raw scores were transformed to T-scores for analysis (mean: 50, standard deviation: 10, higher scores is more depression symptoms, T of 55 is the cut off for mild depressive symptoms).

Time frame:
Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days
Reported as:
Number · Correlation coefficients
Spearman's Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Quality of Life (QOL) Patient-Reported Outcomes Measurement Information System (PROMIS) Depression T-scores
Correlation coefficientsAdult Participants (18+ Years)
Cycles 1-4-.607
Cycles 5-8-0.658
Cycles 9-12-0.708
Cycles 13-18-0.878
Statistical analysis
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = 0.048 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 1-4.) · Spearman's correlation: -.607 · 95% CI -0.889 to 0.009
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = 0.038 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 5-8.) · Spearman's correlation: -0.658 · 95% CI -0.914 to -0.027
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = 0.50 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 9-12.) · Spearman's correlation: -0.708 · 95% CI -0.945 to 0.020
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = 0.004 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 13-18.) · Spearman's correlation: -0.878 · 95% CI -0.979 to -0.435
SecondarySpearman's Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Quality of Life (QOL) Patient-Reported Outcomes Measurement Information System (PROMIS) Cognitive Interference T-scores

The outcome measures correlations between two variables and the resulting correlation coefficient describes the strength of the relationship between the variables. To assess the relationship between the adherence method MEMS\^TM cap and PROMIS Cognitive Interference Scores, Spearman correlation was used. For this analysis, MEMS\^TM was defined as the average mean adherence for cycles 1-4. A dose was considered adherent if it was taken within an 11-to-13-hour interval from the prior correct dose. The mean was computed by summing medication adherence across the cycle and dividing it by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data to compute the average. PROMIS Cognitive Interference raw scores were transformed to T-scores for analysis (mean: 50, standard deviation: 10, higher scores is more cognitive interference, T of 60 represents mild interference).

Time frame:
Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days
Reported as:
Number · Correlation coefficient
Spearman's Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Quality of Life (QOL) Patient-Reported Outcomes Measurement Information System (PROMIS) Cognitive Interference T-scores
Correlation coefficientAdult Participants (18+ Years)
Cycles 1-40.293
Cycles 5-80.278
Cycles 9-120.229
Cycles 13-180.530
Statistical analysis
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = 0.382 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 1-4.) · Spearman's correlation: 0.293 · 95% CI -0.390 to 0.768
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = 0.436 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 5-8.) · Spearman's correlation: 0.278 · 95% CI -0.444 to 0.781
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = 0.586 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 9-12.) · Spearman's correlation: 0.229 · 95% CI -0.585 to 0.813
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = 0.177 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 13-18.) · Spearman's correlation: 0.530 · 95% CI -0.302 to 0.904
SecondaryBarriers to Adherence Questionnaire

Participants completed a barriers questionnaire to assess barriers most frequently endorsed on the questionnaire. The questionnaire focused on any medication adherence issues during the trial (e.g., missed doses). Participants were given 16 possible reasons that they may have missed a dose and were asked to check all items that caused them to miss a dose of medication. Participants were also able to provide additional reasons for missing medication that were not on the form.

Time frame:
Baseline and follow-up (between cycles 8 and 12; or after cycle 18/when taken off of study (range of 224-504 days)
Reported as:
Count of participants · Participants
Barriers to Adherence Questionnaire
ParticipantsAdult Participants (18+ Years)
Most commonly reported barrier at baseline: Away from home0
Most commonly reported barrier at baseline: Busy with other things0
Most commonly reported barrier at baseline: Forgot0
Most commonly reported barrier at baseline: Had too many pills to take0
Most commonly reported barrier at baseline: Wanted to avoid having side effects0
Most commonly reported barrier at baseline: Did not want others to see taking medication0
Most commonly reported barrier at baseline: Change in daily routine0
Most commonly reported barrier at baseline: Too tired or slept through dose time0
Most commonly reported barrier at baseline: Felt sick or ill0
Most commonly reported barrier at baseline: Felt sad or stressed out0
Most commonly reported barrier at baseline: Had problem taking medicine with clear liquid0
Most commonly reported barrier at baseline: Had difficulty swallowing pills0
Most commonly reported barrier at baseline: Ran out of pills0
Most commonly reported barrier at baseline: Didn't like taste of medicine0
Didn't think medicine was working0
Most commonly reported barrier at baseline: Didn't feel like it/Needed a break0
Most commonly reported barrier at baseline: Other reason0
Most commonly reported barrier at follow-up: Forgetting6
SecondarySpearman's Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Barriers to Adherence Questionnaire

The outcome measures Spearman correlations between two variables and the resulting correlation coefficient describes the strength of the relationship between the variables. MEMS\^TM was defined as the average mean adherence, an adherent dose was taken 11-13 hours from the prior correct dose. The mean was computed by dividing medication adherence across the cycle by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data. Barriers to adherence was calculated by summing the number of barriers for each participant at follow-up. Participants were given 16 possible reasons that they may have missed a dose and were asked to check all items that apply to them.

Time frame:
Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days
Reported as:
Number · Correlation coefficient
Spearman's Correlation of the Relationship Between Medication Event Monitoring Systems (MEMS^TM) Cap and Barriers to Adherence Questionnaire
Correlation coefficientAdult Participants (18+ Years)
Cycles 1-4-0.576
Cycles 5-8-0.680
Cycles 9-12-0.835
Cycles 13-18-0.933
Statistical analysis
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = 0.063 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 1-4.) · Spearman's correlation: -0.576 · 95% CI -0.879 to 0.056
  • Adult Participants (18+ Years) · Wilcoxon (Mann-Whitney) · p = 0.031 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 5-8.) · Spearman's correlation: -0.680 · 95% CI -0.920 to -0.066
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = 0.010 (The reported p-value represents the strength of the relationship between the variables at cycles 9-12.) · Spearman's correlation: -0.835 · 95% CI -0.971 to -0.292
  • Adult Participants (18+ Years) · Spearman correlation (non-parametric) · p = <0.001 (The reported p-value represents the probability that the strength of the relationship is due to chance at cycles 13-18.) · Spearman's correlation: -0.933 · 95% CI -0.989 to -0.652
SecondaryMedication Event Monitoring Systems (MEMS^TM) Cap and Stressful Life Events: Number of Stressful Life Events Endorsed in the Life Events Checklist

To assess the relationship between the adherence method MEMS\^TM cap and stressful life events (i.e., the number of stressful life events endorsed in the Life Events Checklist), Spearman correlation was used. Participants complete a 22-item questionnaire to report stressful events that impact medication adherence. MEMS\^TM was defined as the average mean adherence, an adherent dose was taken 11-13 hours from the prior correct dose. The mean was computed by dividing medication adherence across the cycle by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data.

Time frame:
Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days
Reported as:
Number · Correlation coefficient
Medication Event Monitoring Systems (MEMS^TM) Cap and Stressful Life Events: Number of Stressful Life Events Endorsed in the Life Events Checklist
Correlation coefficientAdult Participants (18+ Years)
Cycles 1-4-0.035
Cycles 5-80.227
Cycles 9-120.179
Cycles 13-180.041
Statistical analysis
  • Adult Participants (18+ Years) · Spearman correlation · p = 0.919 (The reported p-value represents the strength of the relationship between the variables for cycles 1-4.) · Spearman's correlation: -0.035 · 95% CI -0.634 to 0.591
  • Adult Participants (18+ Years) · Spearman correlation · p = 0.528 (The reported p-value represents the strength of the relationship between the variables for cycles 5-8.) · Spearman's correlation: 0.227 · 95% CI -0.487 to 0.759
  • Adult Participants (18+ Years) · Spearman correlation · p = 0.672 (The reported p-value represents the strength of the relationship between the variables for cycles 9-12.) · Spearman's correlation: 0.179 · 95% CI -0.618 to 0.794
  • Adult Participants (18+ Years) · Spearman correlation · p = 0.923 (The reported p-value represents the strength of the relationship between the variables for cycles 13-18.) · Spearman's correlation: 0.041 · 95% CI -0.697 to 0.737
SecondaryMedication Event Monitoring Systems (MEMS^TM) Cap and Rating of Overall Stress

To assess the relationship between the adherence method MEMS\^TM cap and rating of overall stress, Spearman correlation was used. Participants complete a 1-item question asking them to rate their stress from 0 - 10, with higher numbers being more stressed. MEMS\^TM was defined as the average mean adherence, an adherent dose was taken 11-13 hours from the prior correct dose. The mean was computed by dividing medication adherence across the cycle by the number of days within the cycle. Then, the average mean was calculated by using Statistical Package for the Social Sciences (SPSS) MEAN function, which uses all non-missing data.

Time frame:
Cycles 1-4, 5-8, 9-12 and 13-18 (1 cycle = 28 days), a range of approximately 112 days to 504 days
Reported as:
Number · Correlation coefficient
Medication Event Monitoring Systems (MEMS^TM) Cap and Rating of Overall Stress
Correlation coefficientAdult Participants (18+ Years)
Cycles 1-4-0.638
Cycles 5-8-0.361
Cycles 9-12-0.407
Cycles 13-18-0.180
Statistical analysis
  • Adult Participants (18+ Years) · Spearman correlation · p = 0.035 (The reported p-value represents the strength of the relationship between the variables for cycles 1-4.) · Spearman's correlation: -0.638 · 95% CI -0.899 to -0.041
  • Adult Participants (18+ Years) · Spearman correlation · p = 0.306 (The reported p-value represents the strength of the relationship between the variables for cycles 5-8.) · Spearman's correlation: -0.361 · 95% CI -0.815 to 0.367
  • Adult Participants (18+ Years) · Spearman correlation · p = 0.317 (The reported p-value represents the strength of the relationship between the variables for cycles 9-12.) · Spearman's correlation: -0.407 · 95% CI -0.870 to 0.438
  • Adult Participants (18+ Years) · Spearman correlation · p = 0.670 (The reported p-value represents the strength of the relationship between the variables for cycles 13-18.) · Spearman's correlation: -0.180 · 95% CI -0.795 to 0.0617
Other pre-specifiedNumber of Participants With Serious and/or Non-serious Adverse Events

Here is the number of participants with serious and/or non-serious adverse events. A non-serious adverse event is any untoward medical occurrence. A serious adverse event is an adverse event or suspected adverse reaction that results in death, a life-threatening adverse drug experience, hospitalization, disruption of the ability to conduct normal life functions, congenital anomaly/birth defect or important medical events that jeopardize the patient or subject and may require medical or surgical intervention to prevent one of the previous outcomes mentioned.

Time frame:
Baseline to cycle 18 (end of study), approximately 504 days (1.38 years)
Reported as:
Count of participants · Participants
Number of Participants With Serious and/or Non-serious Adverse Events
ParticipantsAdult Participants (18+ Years)
Number of Participants With Serious and/or Non-serious Adverse Events0

Adverse events

Collected over Baseline to cycle 18 (end of study), approximately 504 days (1.38 years). Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Adult Participants (18+ Years)0/12 (0%)0/12 (0%)0/12 (0%)

Baseline characteristics

Age, Categorical
Age, Categorical(Participants)Adult Participants (18+ Years)
<=18 years0
Between 18 and 65 years12
>=65 years0
Age, Continuous
Age, Continuous(years)Adult Participants (18+ Years)
Mean34.36 ± 8.91
Sex: Female, Male
Sex: Female, Male(Participants)Adult Participants (18+ Years)
Female5
Male7
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)Adult Participants (18+ Years)
Hispanic or Latino0
Not Hispanic or Latino12
Unknown or Not Reported0
Race (NIH/OMB)
Race (NIH/OMB)(Participants)Adult Participants (18+ Years)
American Indian or Alaska Native1
Asian1
Native Hawaiian or Other Pacific Islander0
Black or African American2
White8
More than one race0
Unknown or Not Reported0
Region of Enrollment
Region of Enrollment(participants)Adult Participants (18+ Years)
United States12
08

Study locations

1 site
  • National Institutes of Health Clinical Center
    Bethesda, Maryland 20892, United States
09

References and documents

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: Yes — All individual participant data (IPD) recorded in the medical record will be shared with intramural investigators upon request.

Supporting information: Study protocol, Statistical analysis plan, Informed consent form

Time frame: Clinical data available during the study and indefinitely.

Access criteria: Clinical data will be made available via subscription to Biomedical Translational Research Information System (BTRIS) and with the permission of the study principal investigator (PI).

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jun 11, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT03531814
Responsible party
Staci Peron, Ph.D. (Principal Investigator, National Cancer Institute (NCI)) — Principal investigator
First posted
May 22, 2018
Start date
Oct 23, 2018
Primary completion
Mar 20, 2023
Completion
Mar 20, 2023
Results posted
Jun 11, 2024
Last update
Jun 11, 2024

Study contacts

Staci M Peron, Ph.D.
principal investigator · National Cancer Institute (NCI)

Oversight

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

Not currently enrolling

This study is completed, as verified in May 2024. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion