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Transplant Regimen Adherence for Kidney Recipients by Engaging Information Technologies: The TAKE IT Trial

Transplant Regimen Adherence for Kidney Recipients by Engaging Information Technologies: The TAKE IT Trial

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03104868
Enrollment
449
Registered
2017-04-07
Start date
2018-05-03
Completion date
2022-02-28
Last updated
2024-09-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Kidney Transplant

Brief summary

The investigators will evaluate a technology-enabled strategy designed to promote medication adherence, routinely monitor regimen use, and mobilize appropriate transplant center resources to respond early to kidney transplant recipients demonstrating inadequate adherence.

Detailed description

The investigators will evaluate a technology-enabled strategy designed to promote medication adherence, routinely monitor regimen use, and mobilize appropriate transplant center resources to respond early to kidney transplant recipients demonstrating inadequate adherence. Among patients receiving a kidney transplant (KT), the 5-year risk of organ (graft) failure is high; 30% for deceased donor and 27% for living donor recipients. Medication non-adherence is a leading root cause of graft failure, and KT recipients have the highest reported rate of poor adherence (\ 35%) among all organ transplant recipients. Despite many attempts, there have been few successful interventions evaluated to date that have significantly improved KT recipients' regimen adherence and subsequent health outcomes over time. There are many reasons why individuals may not take medication regimens as prescribed, including but not limited to: forgetfulness, misunderstanding, regimen complexity, side effects, health issues, social support, motivation and cost. Therefore no single solution can address all patients. A healthcare team must understand the precise nature of a patient's adherence barriers in order to properly respond. Yet medication adherence is not clinically assessed as part of routine post-transplant care, and prior studies have found that medical staff cannot readily identify poor adherence among patients, let alone the reasons why. Using evidence from the research team's extensive previous studies in other chronic disease contexts, the investigators will implement and comprehensively test a potentially low cost, 'low touch', thus highly scalable intervention: the Transplant regimen Adherence for Kidney recipients by Engaging Information Technologies (TAKE IT) strategy. The TAKE IT strategy leverages a transplant center's electronic health record and a web-based patient portal, as well as mobile technology to: 1) educate patients on their prescribed Rx regimens, 2) help them organize their daily regimen schedule in the most efficient manner, 3) remind them via Short Message Service (SMS) text when to take their medicine, 4) routinely monitor regimen use, and 5) provide care alerts to engage appropriate transplant center clinical staff (e.g. nurse coordinator, pharmacist, social worker) when medication concerns are detected. All components of the TAKE IT strategy have been developed with prior NIH support, refined with 'user' input (patient, family, clinic staff), and their efficacy tested in non-transplant settings. The research team's primary aim and hypotheses (H) are to: Aim 1 Test the effectiveness of the TAKE IT strategy, compared to usual care, to improve KT recipients': H1 treatment knowledge (indications, potential side effects, demonstrated proper use) H2 medication use (regimen adherence via self-report, pill count, pharmacy records, tacrolimus levels) H3 transplant-specific outcomes (Δ estimated glomerular filtration rate (eGFR), quality of life, re-hospitalization) H4 chronic disease outcomes (blood pressure, HbA1c) They will conduct a 2-arm, patient-randomized controlled trial at two large, diverse transplant centers (Northwestern University; Mayo Clinic). 300 KT recipients within 3 months of transplant ('de novo') and 400 'established' patients between 18 months and 3 years post-KT will be recruited and followed for 2 years (N=700 patients; n=350 per site and n=175 per study arm within each site). In-person interviews will be conducted at baseline, 6, 12, 18 and 24 months. To determine proximal effects of the TAKE IT strategy, a telephone interview will also be administered 6 weeks post-baseline. Electronic health and pharmacy records will be ascertained to capture medication adherence and clinical outcomes. The secondary aims are to: Aim 2 Examine the persistence of any effects of the TAKE IT strategy on outcomes over 2 years among new and established KT recipients. Aim 3 Evaluate the fidelity of each component of the TAKE IT strategy over time, and investigate any patient, provider, or transplant center barriers to implementation. Aim 4 Determine the costs of delivering the TAKE IT strategy from a transplant center perspective. Additionally, the investigators will closely evaluate the implementation of all components of the TAKE IT strategy from launch through 2 years follow-up (Aim 2). Their evaluation will include a range of process outcomes to assess the intervention's reliability and sustainability. These findings will determine whether any specific modifications to the TAKE IT strategy are necessary (Aim 3). Finally, the team will estimate the incremental costs of implementing and sustaining the TAKE IT strategy from the perspective of two transplant centers (Aim 4).

Interventions

BEHAVIORALTAKE IT Strategy

The TAKE IT Strategy includes: 1. Programming the electronic health record (EHR) to organize/simplify daily regimen schedules and generate electronic, tangible, print, low literacy medication education materials at every clinical encounter. 2. SMS text-messaging to remind patients when to take all their medicine. 3. A web-based patient portal that requests patients to periodically report upon their medication use, providing a continuous link between the transplant center and patient beyond routine in-person visits. 4. EHR notifications directed to the transplant center nurse coordinator if an adherence-related problem is identified by the web-based portal assessment, who then can activate appropriate staff to respond.

Sponsors

Mayo Clinic
CollaboratorOTHER
Northwestern Memorial Hospital
CollaboratorOTHER
University of Illinois at Chicago
CollaboratorOTHER
Northwestern University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
DOUBLE (Subject, Investigator)

Masking description

We will blind: 1) research interviewers involved with outcomes assessment, 2) personnel involved in statistical analyses (Dr. Kwasny, Ms. Patel), 3) principal investigators (Wolf, Ladner). Site project managers will have access to study arm assignments to initiate TAKE IT components to those randomized to receive them.

Intervention model description

Participants will be randomized to one of two arms: TAKE IT strategy or usual care.

Eligibility

Sex/Gender
ALL
Age
21 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* 1\) age 21 or older * 2\) 5 weeks to 24 months post kidney transplant * 3\) English speaking * 4\) primarily responsible for administering own medication * 5\) owns a cell phone and comfortable receiving text messages * 6\) has access to and proficiency using internet in home

Exclusion criteria

* any severe, uncorrectable vision, hearing or cognitive impairments

Design outcomes

Primary

MeasureTime frameDescription
Rx Pill Count1 year - 1.5 yearsAn in-person pill count using established guidelines will be conducted. When in-person interviews are not possible, pill count will be done over the phone. Adherence will be assessed within drugs. The proportion of pills taken/pills prescribed will be calculated per medication. Patients will be considered non-adherent for a medication if this score is \<=80% and adherent if pills taken/pill prescribed\>80% (0=non-adherent, 1=adherent).

Secondary

MeasureTime frameDescription
Correct Medication Dosing Over Past 24 Hours (24 Hour Recall)1 yearPatients are asked to self-report 1) proper dose (# pills), 2) spacing (hours between doses), 3) frequency (times per day), and 4) total pills/day for each prescribed medication over the last 24 hours. Responses are coded as correct or incorrect. Patients will be scored 'yes' if they have demonstrated proper use by correctly reporting all components of the medicine.
Ask-121 yearThe Ask-12 is a self-report scale that assesses general medication attitudes and beliefs. The scale consists of 12 items across three domains (inconvenience/forgetfulness, treatment beliefs, and behaviors), with responses ranging from Strongly Disagree to Strongly Agree. Score can range from 12-60 with higher scores representing greater barriers to adherence.
Change in Estimated Glomerular Filtration Rate (eGFR), ml/Min/1.73m^2Value at 2 years minus value at baselineChange in eGFR (estimated glomerular filtration rate), ml/min/1.73m\^2 over 2 years. Values were not adjusted for race.
Re-hospitalization2 yearsAcute care hospitalizations post transplant. Hospitalizations were self-reported at the 24 month interview and counted if they occurred after the baseline interview.

Countries

United States

Participant flow

Participants by arm

ArmCount
Usual Care
Patients in this group will receive the usual standard of care.
225
Intervention
Patients in this group will receive the TAKE IT strategy components. TAKE IT Strategy: The TAKE IT Strategy includes: 1. Programming the electronic health record (EHR) to organize/simplify daily regimen schedules and generate electronic, tangible, print, low literacy medication education materials at every clinical encounter. 2. SMS text-messaging to remind patients when to take all their medicine. 3. A web-based patient portal that requests patients to periodically report upon their medication use, providing a continuous link between the transplant center and patient beyond routine in-person visits. 4. EHR notifications directed to the transplant center nurse coordinator if an adherence-related problem is identified by the web-based portal assessment, who then can activate appropriate staff to respond.
224
Total449

Withdrawals & dropouts

PeriodReasonFG000FG001
12 Month Follow upCompleted Later Timepoint3229
12 Month Follow upDeath01
12 Month Follow upLost to Follow-up12
12 Month Follow upWithdrawal by Subject03
18 Month Follow upCompleted Later Timepoint1920
18 Month Follow upDeath21
18 Month Follow upGraft Loss11
18 Month Follow upLost to Follow-up711
18 Month Follow upWithdrawal by Subject12
24 Month Follow upDeath32
24 Month Follow upGraft Loss20
24 Month Follow upLost to Follow-up1516
24 Month Follow upWithdrawal by Subject10
6 Month Follow upCompleted Later Timepoint2232
6 Month Follow upDeath01
6 Month Follow upLost to Follow-up22
6 Week Follow upCompleted Later Timepoint2422
6 Week Follow upDeath11
6 Week Follow upLost to Follow-up58
6 Week Follow upWithdrawal by Subject76

Baseline characteristics

CharacteristicUsual CareInterventionTotal
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
42 Participants38 Participants80 Participants
Age, Categorical
Between 18 and 65 years
183 Participants186 Participants369 Participants
Age, Continuous52.0 years
STANDARD_DEVIATION 13.3
51.7 years
STANDARD_DEVIATION 12.6
51.9 years
STANDARD_DEVIATION 12.9
Ethnicity (NIH/OMB)
Hispanic or Latino
44 Participants36 Participants80 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
177 Participants188 Participants365 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
4 Participants0 Participants4 Participants
Race (NIH/OMB)
American Indian or Alaska Native
3 Participants3 Participants6 Participants
Race (NIH/OMB)
Asian
11 Participants20 Participants31 Participants
Race (NIH/OMB)
Black or African American
39 Participants43 Participants82 Participants
Race (NIH/OMB)
More than one race
5 Participants9 Participants14 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
6 Participants3 Participants9 Participants
Race (NIH/OMB)
White
161 Participants146 Participants307 Participants
Recruitment Site
Mayo Clinic - Arizona
101 Participants100 Participants201 Participants
Recruitment Site
Northwestern Medicine
124 Participants124 Participants248 Participants
Sex: Female, Male
Female
90 Participants93 Participants183 Participants
Sex: Female, Male
Male
135 Participants131 Participants266 Participants
Time Since Transplant10.0 month
STANDARD_DEVIATION 8.2
9.7 month
STANDARD_DEVIATION 8.1
9.9 month
STANDARD_DEVIATION 8.2

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
6 / 2256 / 224
other
Total, other adverse events
0 / 2250 / 224
serious
Total, serious adverse events
3 / 2251 / 224

Outcome results

Primary

Rx Pill Count

An in-person pill count using established guidelines will be conducted. When in-person interviews are not possible, pill count will be done over the phone. Adherence will be assessed within drugs. The proportion of pills taken/pills prescribed will be calculated per medication. Patients will be considered non-adherent for a medication if this score is \<=80% and adherent if pills taken/pill prescribed\>80% (0=non-adherent, 1=adherent).

Time frame: 1 year - 1.5 years

Population: Analyses included a pill count collected at 1 year or at 1.5 years if a pill count was not collected at 1 year. Observations were excluded if: 1.Medications were not in pill form; 2.Participants couldn't provide accurate quantities on their bottles; 3.Missing Fill or Start Dates, 4.Participants started their medications that day; 5. Pro re nata (PRN) Medications.

ArmMeasureValue (LEAST_SQUARES_MEAN)
Usual CareRx Pill Count0.26 Probability of adherence (1/0)
InterventionRx Pill Count0.26 Probability of adherence (1/0)
Secondary

Ask-12

The Ask-12 is a self-report scale that assesses general medication attitudes and beliefs. The scale consists of 12 items across three domains (inconvenience/forgetfulness, treatment beliefs, and behaviors), with responses ranging from Strongly Disagree to Strongly Agree. Score can range from 12-60 with higher scores representing greater barriers to adherence.

Time frame: 1 year

Population: We discovered the wrong timepoint was used in the original analysis. Results were updated in March 2024.

ArmMeasureValue (LEAST_SQUARES_MEAN)
Usual CareAsk-1218.4 score on a scale (12-60)
InterventionAsk-1217.7 score on a scale (12-60)
Secondary

Change in Estimated Glomerular Filtration Rate (eGFR), ml/Min/1.73m^2

Change in eGFR (estimated glomerular filtration rate), ml/min/1.73m\^2 over 2 years. Values were not adjusted for race.

Time frame: Value at 2 years minus value at baseline

Population: Participants were analyzed if we were able to retrieve a baseline and 2 year eGFR value from the chart to calculate change. Results were updated in March 2024 after receiving additional data from Mayo Clinic.

ArmMeasureValue (LEAST_SQUARES_MEAN)
Usual CareChange in Estimated Glomerular Filtration Rate (eGFR), ml/Min/1.73m^2-0.68 ml/min/1.73m^2
InterventionChange in Estimated Glomerular Filtration Rate (eGFR), ml/Min/1.73m^2-0.76 ml/min/1.73m^2
Secondary

Correct Medication Dosing Over Past 24 Hours (24 Hour Recall)

Patients are asked to self-report 1) proper dose (# pills), 2) spacing (hours between doses), 3) frequency (times per day), and 4) total pills/day for each prescribed medication over the last 24 hours. Responses are coded as correct or incorrect. Patients will be scored 'yes' if they have demonstrated proper use by correctly reporting all components of the medicine.

Time frame: 1 year

Population: Observations were excluded if participants did not complete the 24-hour recall questions.

ArmMeasureValue (LEAST_SQUARES_MEAN)
Usual CareCorrect Medication Dosing Over Past 24 Hours (24 Hour Recall)0.89 Probability of Adherence (1/0)
InterventionCorrect Medication Dosing Over Past 24 Hours (24 Hour Recall)0.88 Probability of Adherence (1/0)
Secondary

Re-hospitalization

Acute care hospitalizations post transplant. Hospitalizations were self-reported at the 24 month interview and counted if they occurred after the baseline interview.

Time frame: 2 years

Population: Participants were included if they completed the hospitalization items.

ArmMeasureValue (LEAST_SQUARES_MEAN)
Usual CareRe-hospitalization0.59 probability of re-hospitalization
InterventionRe-hospitalization0.59 probability of re-hospitalization

Source: ClinicalTrials.gov · Data processed: Feb 13, 2026