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Medication Adherence Patterns in Rheumatic Diseases: A Behavioral Trial

Using Cues and Rewards in Patients With Arthritis and Rheumatic Disease

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04776161
Enrollment
62
Registered
2021-03-01
Start date
2021-08-02
Completion date
2022-11-10
Last updated
2023-10-04

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

Conditions

Adherence, Medication, Gout, Lupus Erythematosus, Systemic, Rheumatic Diseases

Brief summary

Non-adherence to evidence-based prescription medications results in preventable morbidity and mortality for middle-aged and older adults. Taking medications intended for daily use, like those to prevent or treat chronic conditions, is a repetitive action that has great similarity with other behaviors that must be performed consistently, such as regular exercise, healthy eating, and hand washing. In these cases, people who act consistently do so out of habit. The repetition-cue-reward model proposes that habit formation has three central components: behavioral repetition, associated context cues, and rewards. This model has obvious applicability to the daily repetitive activity of medication-taking but has not been tested for this behavior nor adapted as an intervention for patients in real-world care settings. The goal of this pilot study is to evaluate the feasibility and effectiveness of using the repetition-cue-reward model of healthy habit formation to improve medication adherence in patients with arthritis and other rheumatic diseases.

Detailed description

Non-adherence to evidence-based prescription medications results in preventable morbidity and mortality for middle-aged and older adults. Taking medications intended for daily use, like those to prevent or treat chronic conditions, is a repetitive action that has great similarity with other behaviors that must be performed consistently, such as regular exercise, healthy eating, and hand washing. In these cases, people who act consistently do so out of habit. The repetition-cue-reward model proposes that habit formation has three central components: behavioral repetition, associated context cues, and rewards. This model has obvious applicability to the daily repetitive activity of medication-taking but has not been tested for this behavior nor adapted as an intervention for patients in real-world care settings. The goal of this pilot study is to evaluate the feasibility and effectiveness of using the repetition-cue-reward model of healthy habit formation to improve medication adherence in patients with arthritis and other rheumatic diseases. This pilot study will be a 3-arm parallel randomized pragmatic trial comparing medication adherence for adults over 18 years old with arthritis, lupus, or gout who are prescribed 1-3 daily oral medications for this disease. Participants will be randomized to one of three arms for the duration of the study period. Patients in the first intervention arm will choose an event-based cue and receive daily reminder text messages reminding them of their cue. Patients in the second intervention arm will start by establishing their cue and having the donation made, but only those who show no improvement in adherence after 6 weeks will start receiving the text messages. In both interventions arms, a donation will be made to a local charity every time they take their medication. Patients in the control arm will not receive any intervention (but will receive pill bottles to monitor their adherence). Our outcomes of interest will be medication adherence, as measured by electronic pill bottles.

Interventions

BEHAVIORALCue-Reward Intervention

Patients in the first intervention arm will participate in a goal-setting exercise during which they will identify which habit they want to link their medication-taking to. Patients will also receive text messages reminding them of the habit they decided to link to their medication-taking. Finally, patients will also select a charity to which a donation will be made every time the bottle is opened. The research team will donate $0.50 every day that the patient takes their medication as prescribed. A research assistant will place a sticker with the charity logo under the pill bottle cap so that the patient is reminded of the donation every time they take the medication. Additionally, the patient will receive texts every 4 days summarizing how much money was donated on their behalf.

BEHAVIORALCue-Reward Intervention with possible intensification

Patients in the second intervention arm will participate in a goal-setting exercise during which they will identify which habit they want to link their medication-taking to. Finally, patients will also select a charity to which a donation will be made every time the bottle is opened. The research team will donate $0.50 every day that the patient takes their medication as prescribed. A research assistant will place a sticker with the charity logo under the pill bottle cap so that the patient is reminded of the donation every time they take the medication. Additionally, the patient will receive texts every 4 days summarizing how much money was donated on their behalf. After 6 weeks, patients who demonstrate an adherence under 80% to study medications (as measured by the electronic pill bottle) will begin receiving text messages reminding them of their selected cue.

Sponsors

National Institute on Aging (NIA)
CollaboratorNIH
Brigham and Women's Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
DOUBLE (Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 85 Years
Healthy volunteers
No

Inclusion criteria

* English-speaking patients * receiving their care at a Brigham and Women's Hospital-affiliated rheumatology practice * \>=18 years of age * with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), or gout * prescribed \>=1 oral medication for this disease for \>=4 months. * for patients with gout, had a uric acid level checked in the prior 18 months and the most recent level is \>6. * for patients with SLE, their most recent c-reactive protein level collected in the past 18 months must be \>10. * currently have a smartphone with a data plan or WiFi at home * willing and able to set up the platform and adhere to study procedures * either not currently using a pillbox or willing to use electronic pill bottles (EDMs) for diabetes medications for the duration of the study

Exclusion criteria

* Pregnant women * Incarcerated individuals

Design outcomes

Primary

MeasureTime frameDescription
Rate of Medication Adherence18 weeksMedication adherence will be measured as the percentage of times a patient opened the electronic pill bottle out of the number of doses prescribed for each bottle in each day, averaged across the study medications and over follow-up.

Secondary

MeasureTime frameDescription
Change in Uric Acid Level From Baseline18 weeksChange in uric acid level from baseline

Countries

United States

Participant flow

Participants by arm

ArmCount
Control
Patients in the control arm will not receive any intervention (but will receive electronic pill bottles to monitor their adherence).
18
Non-adaptive Intervention
Patients in this intervention arm will choose an event-based cue and receive reminder text messages reminding them of their cue. Additionally, a donation will be made to a local charity every time they take their medication. Cue-Reward Intervention: Patients in the first intervention arm will participate in a goal-setting exercise during which they will identify which habit they want to link their medication-taking to. Patients will also receive text messages reminding them of the habit they decided to link to their medication-taking. Finally, patients will also select a charity to which a donation will be made every time the bottle is opened. The research team will donate $0.50 every day that the patient takes their medication as prescribed. A research assistant will place a sticker with the charity logo under the pill bottle cap so that the patient is reminded of the donation every time they take the medication. Additionally, the patient will receive texts every 4 days summarizing how much money was donated on their behalf.
18
Adaptive Intervention
Patients in this intervention arm will choose an event-based cue. Additionally, a donation will be made to a local charity every time they take their medication. Those who show no improvement in adherence after 6 weeks will start receiving reminder text messages reminding them of their cue. Cue-Reward Intervention with possible intensification: Patients in the second intervention arm will participate in a goal-setting exercise during which they will identify which habit they want to link their medication-taking to. Finally, patients will also select a charity to which a donation will be made every time the bottle is opened. The research team will donate $0.50 every day that the patient takes their medication as prescribed. A research assistant will place a sticker with the charity logo under the pill bottle cap so that the patient is reminded of the donation every time they take the medication. Additionally, the patient will receive texts every 4 days summarizing how much money was donated on their behalf. After 6 weeks, patients who demonstrate an adherence under 80% to study medications (as measured by the electronic pill bottle) will begin receiving text messages reminding them of their selected cue.
20
Total56

Withdrawals & dropouts

PeriodReasonFG000FG001FG002
Overall StudyAdverse Event011
Overall StudyWithdrawal by Subject101
Overall StudyWithdrew after randomization but prior to intervention132

Baseline characteristics

CharacteristicControlTotalAdaptive InterventionNon-adaptive Intervention
Age, Continuous54.8 years
STANDARD_DEVIATION 12.5
55.6 years
STANDARD_DEVIATION 12.6
60.2 years
STANDARD_DEVIATION 11.8
50.7 years
STANDARD_DEVIATION 12.4
Ethnicity (NIH/OMB)
Hispanic or Latino
1 Participants4 Participants1 Participants2 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
17 Participants52 Participants19 Participants16 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
0 Participants1 Participants0 Participants1 Participants
Race (NIH/OMB)
Black or African American
3 Participants9 Participants2 Participants4 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
1 Participants2 Participants1 Participants0 Participants
Race (NIH/OMB)
White
14 Participants44 Participants17 Participants13 Participants
Sex: Female, Male
Female
2 Participants11 Participants5 Participants4 Participants
Sex: Female, Male
Male
16 Participants45 Participants15 Participants14 Participants
Uric Acid Level7.07 mg/dL
STANDARD_DEVIATION 0.9
7.47 mg/dL
STANDARD_DEVIATION 1.55
7.43 mg/dL
STANDARD_DEVIATION 1.06
7.92 mg/dL
STANDARD_DEVIATION 2.31

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
deaths
Total, all-cause mortality
0 / 180 / 180 / 20
other
Total, other adverse events
0 / 180 / 180 / 20
serious
Total, serious adverse events
1 / 182 / 183 / 20

Outcome results

Primary

Rate of Medication Adherence

Medication adherence will be measured as the percentage of times a patient opened the electronic pill bottle out of the number of doses prescribed for each bottle in each day, averaged across the study medications and over follow-up.

Time frame: 18 weeks

ArmMeasureValue (MEAN)Dispersion
ControlRate of Medication Adherence0.76 percentage of doses takenStandard Deviation 0.26
Non-adaptive InterventionRate of Medication Adherence0.79 percentage of doses takenStandard Deviation 0.23
Adaptive InterventionRate of Medication Adherence0.83 percentage of doses takenStandard Deviation 0.18
p-value: 0.7895% CI: [-0.16, 0.12]Generalized linear models
p-value: 0.7995% CI: [-0.1, 0.13]Generalized linear models
Secondary

Change in Uric Acid Level From Baseline

Change in uric acid level from baseline

Time frame: 18 weeks

ArmMeasureValue (MEAN)Dispersion
ControlChange in Uric Acid Level From Baseline-1.21 milligrams per deciliter (mg/dL)Standard Deviation 1.31
Non-adaptive InterventionChange in Uric Acid Level From Baseline-1.13 milligrams per deciliter (mg/dL)Standard Deviation 1.66
Adaptive InterventionChange in Uric Acid Level From Baseline-0.55 milligrams per deciliter (mg/dL)Standard Deviation 1.88
p-value: 0.2295% CI: [-0.28, 1.22]Generalized linear models
p-value: 0.2495% CI: [-0.33, 1.26]Generalized linear models

Source: ClinicalTrials.gov · Data processed: Feb 14, 2026