CClinicalTrials.gg
CompletedNCT03973931Updated Apr 2, 2025Results posted

Personalized Patient Data and Behavioral Nudges to Improve Adherence to Chronic Cardiovascular Medications

An interventional study of Nudge in Cardiovascular Diseases, Adherence, Medication and Medication Adherence, sponsored by University of Colorado, Denver. Completed at 4 sites in United States. Open to participants aged 18 Years to 89 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-04-02.

Sponsored by University of Colorado, Denver · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
9,501
Allocation
Randomized
Ages
18 Years to 89 Years
Sex
All
01

Study summary

The study plans to learn if sending different text messages, serving as reminders or encouragement, may help patients take their medication more often if they have had trouble keeping up with their medicines.

Read the detailed description

Background: Up to fifty percent of patients do not take their cardiovascular medications as prescribed resulting in increased morbidity, mortality, and healthcare costs. Mobile and digital technologies for health promotion and disease self-management offer an intriguing and as of yet untested opportunity to adapt behavioral 'nudges' using ubiquitous cell phone technology to facilitate medication adherence.

Objectives: Aim 1: Conduct a pragmatic patient-level randomized intervention across three health care systems (HCS) to improve adherence to chronic CV medications. The primary outcome will be medication adherence defined by the proportion of days covered (PDC) using pharmacy refill data. Secondary outcomes include clinical events (e.g., event times for stroke, MI, mortality), utilization of care (e.g., hospitalizations or clinic visits for CV-related reasons), and costs of healthcare utilization. Aim 2: Evaluate the intervention using a mixed methods approach and applying the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework. In addition, assess the context and implementation processes to inform local tailoring, adaptations and modifications, and eventual expansion of the intervention within the 3 HCS more broadly and nationally.

Setting: The study will be conducted within three HCS in metro Denver: VA Eastern Colorado Health Care System (VA), Denver Health and Hospital Authority, and UCHealth.

02

Conditions studied

  • Cardiovascular Diseases
  • Adherence, Medication
  • Medication Adherence
  • Diabetes Mellitus
  • Hypertension
  • Hyperlipidemias
  • Coronary Artery Disease
  • Atrial Fibrillation

Keywords

  • cardiovascular disease
  • telemedicine
  • medication adherence
  • behavioral health
03

In context

Atrial Fibrillation

3,870 studies on the registry are indexed under Atrial Fibrillation; 924 are open to participants now.

This study's enrollment of 9,501 is above the median of 144 across 2,380 interventional studies indexed under Atrial Fibrillation.

Browse Atrial Fibrillation studies →

Lead sponsor

University of Colorado, Denver is the lead sponsor of 1,499 studies on the registry; 315 are open to participants now.

Of its 139 completed or terminated interventional studies of FDA-regulated products, 89 (64%) have results posted.

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

04

Who can participate

Ages eligible
18 Years to 89 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Patients with the following cardiovascular conditions and respective medication classes:
  • Hypertension (Beta-blockers [B-blockers)], Calcium Channel Blocker [CCB], Angiotensin converting enzyme inhibitors (ACEi), Angiotensin Receptor Blockers [ARB], or Thiazide diuretic)
  • Hyperlipidemia (HMG CoA reductase inhibitor [Statins])
  • Diabetes (Alpha-glucosidase inhibitors, Biguanides, DPP-4 inhibitors, Sodium glucose transport inhibitor, Meglitinides, Sulfonylureas, Thiazolidinediones, or statins Coronary artery disease P2Y12 inhibitor [Clopidogrel, Ticagrelor, Prasugrel, Ticlopidine], B-blockers, ACEi or ARB or statins)
  • Atrial fibrillation (Direct oral anticoagulants, B-blockers, CCB)

Exclusion criteria

Exclusion Criteria:

  • Patients who do not have a mailing address listed in EHR;
  • Patients who do not have a landline or cellphone listed in EHR;
  • Currently pregnant if denoted in the EHR at the time of the data pull;
  • Patients with a mailing address outside of the state of Colorado;
  • Patients that do not speak either English or Spanish.
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
9,501 participants (actual)

Study arms

  • No intervention
    Usual Care

    This group will not receive an intervention. We have included a usual care group to demonstrate the impact of the text messaging interventions above and beyond usual care given that many prior medication adherence interventions have demonstrated small to negligible effects.

  • Experimental
    Generic Nudge

    A generic reminder text will be delivered to patients to refill their medication at days 1, 3, 5, 7 and 10 after they been labeled as non-adherent.

    Behavioral: Nudge

  • Experimental
    Optimized nudge

    An optimized nudge text will be delivered to patients to remind them to refill their medications at days 1, 3, 5, 7 and 10 after they have been labeled as non-adherent.

    Behavioral: Nudge

  • Experimental
    Optimized nudge plus AI Chat Bot

    An optimized nudge text will be delivered to patients to remind them to refill their medications at days 1 and 3 after they have been labeled as non-adherent. If the patient has not filled their medication on days 5 and 7, in addition to receiving an optimized nudge text, an AI will conduct interactive chat via a chat bot to assess barriers filling the medication as described in Aim 1 above. If they still have not filled the medication, they will receive another message on day 10.

    Behavioral: Nudge

Interventions

  • BehavioralNudge

    Interventions will include a variety of text messages aimed at improving medication adherence.

06

What researchers measure

Primary outcomes

  1. Medication Adherence

    The primary outcome was medication adherence defined by the proportion of days covered (PDC) using pharmacy refill data adjusted difference from usual care.

    Time frame: 12 months after intervention

  2. Mean Proportion of Days Covered Relative to Usual Care

    We analyzed this longitudinal data (up to 12 observations per patient) and estimated absolute differences in PDC between treatment arms and usual care using a Generalized Estimating Equation (GEE) model with an identity link and independence with unequal variances for the covariance structure of the 12 observations .A multistage gatekeeper approach was used to account for multiple treatment comparisons by comparing each of the 3 treatment arms to the control in stage 1 using significance levels of 0.05/3, and if any test was significant, a significance level of (R/3)\*(0.05/3) using the Holm method was used for the 3 pairwise comparisons, where R is the number of significant stage 1 tests.

    Time frame: 12 months

Secondary outcomes

  1. Hospitalization

    estimated probability of hospitalization at one year

    Time frame: one year

  2. Death

    estimated probability of death at one year

    Time frame: one year

  3. Emergency Department Visit

    estimated probability of emergency department visit at one year

    Time frame: one year

07

Results

Posted Apr 2, 2025

Participant flow

Participant flow — Overall Study
MilestoneGeneric NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual Care
Started2377237323752376
Completed2324230523192321
Not completed53685655
Withdrew: Lost to follow-up47635154
Withdrew: Opted out6551

Outcome measures

PrimaryMedication Adherence

The primary outcome was medication adherence defined by the proportion of days covered (PDC) using pharmacy refill data adjusted difference from usual care.

Time frame:
12 months after intervention
Reported as:
Mean · mean PDC
Medication Adherence
mean PDCGeneric NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual Care
Medication Adherence.606 (.594 to .618).620 (.609 to .633).623 (.612 to .635).630 (.618 to .640)
Statistical analysis
  • Generic Nudge vs Optimized Nudge vs Optimized Nudge Plus AI Chat Bot vs Usual Care · GEE · p = <0.05To account for multiple treatment comparisons significance levels of 0.05/3
PrimaryMean Proportion of Days Covered Relative to Usual Care

We analyzed this longitudinal data (up to 12 observations per patient) and estimated absolute differences in PDC between treatment arms and usual care using a Generalized Estimating Equation (GEE) model with an identity link and independence with unequal variances for the covariance structure of the 12 observations .A multistage gatekeeper approach was used to account for multiple treatment comparisons by comparing each of the 3 treatment arms to the control in stage 1 using significance levels of 0.05/3, and if any test was significant, a significance level of (R/3)\*(0.05/3) using the Holm method was used for the 3 pairwise comparisons, where R is the number of significant stage 1 tests.

Time frame:
12 months
Reported as:
Mean · proportion of days covered
Mean Proportion of Days Covered Relative to Usual Care
proportion of days coveredGeneric NudgeOptimized NudgeOptimized Nudge Plus AI Chat Bot
Mean Proportion of Days Covered Relative to Usual Care0.022 (0.003 to 0.042)0.020 (0.001 to 0.039)0.023 (0.004 to 0.042)
Statistical analysis
  • Generic Nudge vs Optimized Nudge vs Optimized Nudge Plus AI Chat Bot · GEE · p = <0.05 (To account for multiple treatment comparisons significance levels of 0.05/3, and if any test was significant, a significance level of (R/3)\*(0.05/3) using the Holm method was used for the 3 pairwise comparisons, R=number of significant stage 1 tests.)
SecondaryHospitalization

estimated probability of hospitalization at one year

Time frame:
one year
Reported as:
Mean · estimated probability of hospitalization
Hospitalization
estimated probability of hospitalizationGeneric NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual Care
Hospitalization.13 (.115 to .144).136 (.121 to .151).136 (.121 to .151).143 (.128 to .158)
SecondaryDeath

estimated probability of death at one year

Time frame:
one year
Reported as:
Mean · estimated probability of death
Death
estimated probability of deathGeneric NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual Care
Death.031 (.03 to .039).026 (.019 to .033).027 (.020 to .034).033 (.025 to .041)
SecondaryEmergency Department Visit

estimated probability of emergency department visit at one year

Time frame:
one year
Reported as:
Mean · estimated probability of ED visit
Emergency Department Visit
estimated probability of ED visitGeneric NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual Care
Emergency Department Visit.292 (.272 to .311).285 (.265 to .305).294 (.274 to .313).301 (.281 to .321)

Adverse events

Collected over 12 months. Non-serious events are listed at a 5% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Generic Nudge63/2,324 (2.7%)267/2,324 (11.5%)612/2,324 (26.3%)
Optimized Nudge53/2,305 (2.3%)283/2,305 (12.3%)594/2,305 (25.8%)
Optimized Nudge Plus AI Chat Bot55/2,319 (2.4%)283/2,319 (12.2%)616/2,319 (26.6%)
Usual Care68/2,321 (2.9%)303/2,321 (13.1%)639/2,321 (27.5%)
Most frequent serious events
Most frequent serious events
EventGeneric NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual Care
Number with All Cause Hospitalization in 12 monthsGeneral disorders267/2324283/2305283/2319303/2321
Most frequent other events
Most frequent other events
EventGeneric NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual Care
Number with Emergency Department visits in 12 monthsGeneral disorders612/2324594/2305616/2319639/2321

Baseline characteristics

Age, Continuous
Age, Continuous(years)Generic NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual CareTotal
Mean59.9 ± 12.560 ± 12.960.1 ± 12.760.1 ± 12.660.0 ± 12.7
Sex: Female, Male
Sex: Female, Male(Participants)Generic NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual CareTotal
Female10871075110110884351
Male12371230121812334918
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)Generic NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual CareTotal
Hispanic or Latino11001147116811494564
Not Hispanic or Latino12041141113411504629
Unknown or Not Reported2017172276
Race (NIH/OMB)
Race (NIH/OMB)(Participants)Generic NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual CareTotal
American Indian or Alaska Native22272335107
Asian29312129110
Native Hawaiian or Other Pacific Islander326314
Black or African American3913783563921517
White16011615164615986460
More than one race101416949
Unknown or Not Reported2682382512551012
Marital Status
Marital Status(Participants)Generic NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual CareTotal
Married Married9949409809503864
Single8838838708743510
Divorced/Widowed4344644524831833
Unknown1318171462
Insurance
Insurance(Participants)Generic NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual CareTotal
Medicare8538788608893480
Medicaid6596326296652585
Commercial4634715004411875
Unknown12396130112461
VHA8781235
None218221192202833
Medical History
Medical History(participants)Generic NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual CareTotal
Depression4214634424161742
Chronic Kidney Disease191202203189785
Heart Failure160199163171693
Cerebrovascular Disease142145125134546
Posttraumatic Stress Disorder118114102108442
Substance Abuse8910111688394
Prior Coronary Revascularization63567058247
Prior Myocardial Infarction9510912198423
Qualifying Condition
Qualifying Condition(participants)Generic NudgeOptimized NudgeOptimized Nudge Plus AI Chat BotUsual CareTotal
Hypertension18371829182118647351
Diabetes11481164116211494623
Hyperlipidemia10721052108910544267
Coronary Artery Disease3053253523281310
Atrial Fibrillation132152130134548
>1 Qualifying Condition14061390141014385644

2 further baseline measures are reported on the registry.

08

Study locations

4 sites
  • UCHealth
    Aurora, Colorado 80045, United States
  • University of Colorado Denver
    Aurora, Colorado 80045, United States
  • VA Eastern Colorado Health Care System
    Aurora, Colorado 80045, United States
  • Denver Health and Hospital Authority
    Denver, Colorado 80204, United States
09

References and documents

Publications

  • Jackevicius CA, Li P, Tu JV. Prevalence, predictors, and outcomes of primary nonadherence after acute myocardial infarction. Circulation. 2008 Feb 26;117(8):1028-36. doi: 10.1161/CIRCULATIONAHA.107.706820. PubMed 18299512 ↗
  • Ho PM, Spertus JA, Masoudi FA, Reid KJ, Peterson ED, Magid DJ, Krumholz HM, Rumsfeld JS. Impact of medication therapy discontinuation on mortality after myocardial infarction. Arch Intern Med. 2006 Sep 25;166(17):1842-7. doi: 10.1001/archinte.166.17.1842. PubMed 17000940 ↗
  • Rasmussen JN, Chong A, Alter DA. Relationship between adherence to evidence-based pharmacotherapy and long-term mortality after acute myocardial infarction. JAMA. 2007 Jan 10;297(2):177-86. doi: 10.1001/jama.297.2.177. PubMed 17213401 ↗
  • Spertus JA, Kettelkamp R, Vance C, Decker C, Jones PG, Rumsfeld JS, Messenger JC, Khanal S, Peterson ED, Bach RG, Krumholz HM, Cohen DJ. Prevalence, predictors, and outcomes of premature discontinuation of thienopyridine therapy after drug-eluting stent placement: results from the PREMIER registry. Circulation. 2006 Jun 20;113(24):2803-9. doi: 10.1161/CIRCULATIONAHA.106.618066. Epub 2006 Jun 12. PubMed 16769908 ↗
  • Brown MT, Bussell JK. Medication adherence: WHO cares? Mayo Clin Proc. 2011 Apr;86(4):304-14. doi: 10.4065/mcp.2010.0575. Epub 2011 Mar 9. PubMed 21389250 ↗
  • Wei L, Wang J, Thompson P, Wong S, Struthers AD, MacDonald TM. Adherence to statin treatment and readmission of patients after myocardial infarction: a six year follow up study. Heart. 2002 Sep;88(3):229-33. doi: 10.1136/heart.88.3.229. PubMed 12181210 ↗
  • Wei L, Flynn R, Murray GD, MacDonald TM. Use and adherence to beta-blockers for secondary prevention of myocardial infarction: who is not getting the treatment? Pharmacoepidemiol Drug Saf. 2004 Nov;13(11):761-6. doi: 10.1002/pds.963. PubMed 15386713 ↗
  • Lu CY, Ross-Degnan D, Soumerai SB, Pearson SA. Interventions designed to improve the quality and efficiency of medication use in managed care: a critical review of the literature - 2001-2007. BMC Health Serv Res. 2008 Apr 7;8:75. doi: 10.1186/1472-6963-8-75. PubMed 18394200 ↗
  • Volpp KG, Loewenstein G, Troxel AB, Doshi J, Price M, Laskin M, Kimmel SE. A test of financial incentives to improve warfarin adherence. BMC Health Serv Res. 2008 Dec 23;8:272. doi: 10.1186/1472-6963-8-272. PubMed 19102784 ↗
  • Murray MD, Young J, Hoke S, Tu W, Weiner M, Morrow D, Stroupe KT, Wu J, Clark D, Smith F, Gradus-Pizlo I, Weinberger M, Brater DC. Pharmacist intervention to improve medication adherence in heart failure: a randomized trial. Ann Intern Med. 2007 May 15;146(10):714-25. doi: 10.7326/0003-4819-146-10-200705150-00005. PubMed 17502632 ↗
  • Lee JK, Grace KA, Taylor AJ. Effect of a pharmacy care program on medication adherence and persistence, blood pressure, and low-density lipoprotein cholesterol: a randomized controlled trial. JAMA. 2006 Dec 6;296(21):2563-71. doi: 10.1001/jama.296.21.joc60162. Epub 2006 Nov 13. PubMed 17101639 ↗
  • Peterson PN, Campagna EJ, Maravi M, Allen LA, Bull S, Steiner JF, Havranek EP, Dickinson LM, Masoudi FA. Acculturation and outcomes among patients with heart failure. Circ Heart Fail. 2012 Mar 1;5(2):160-6. doi: 10.1161/CIRCHEARTFAILURE.111.963561. Epub 2012 Jan 13. PubMed 22247483 ↗
  • Gurol-Urganci I, de Jongh T, Vodopivec-Jamsek V, Atun R, Car J. Mobile phone messaging reminders for attendance at healthcare appointments. Cochrane Database Syst Rev. 2013 Dec 5;2013(12):CD007458. doi: 10.1002/14651858.CD007458.pub3. PubMed 24310741 ↗
  • de Jongh T, Gurol-Urganci I, Vodopivec-Jamsek V, Car J, Atun R. Mobile phone messaging for facilitating self-management of long-term illnesses. Cochrane Database Syst Rev. 2012 Dec 12;12(12):CD007459. doi: 10.1002/14651858.CD007459.pub2. PubMed 23235644 ↗
  • Vodopivec-Jamsek V, de Jongh T, Gurol-Urganci I, Atun R, Car J. Mobile phone messaging for preventive health care. Cochrane Database Syst Rev. 2012 Dec 12;12(12):CD007457. doi: 10.1002/14651858.CD007457.pub2. PubMed 23235643 ↗
  • Glasgow RE, Knoepke CE, Magid D, Grunwald GK, Glorioso TJ, Waughtal J, Marrs JC, Bull S, Ho PM. The NUDGE trial pragmatic trial to enhance cardiovascular medication adherence: study protocol for a randomized controlled trial. Trials. 2021 Aug 11;22(1):528. doi: 10.1186/s13063-021-05453-9. PubMed 34380527 ↗
  • Luong P, Glorioso TJ, Grunwald GK, Peterson P, Allen LA, Khanna A, Waughtal J, Sandy L, Ho PM, Bull S. Text Message Medication Adherence Reminders Automated and Delivered at Scale Across Two Institutions: Testing the Nudge System: Pilot Study. Circ Cardiovasc Qual Outcomes. 2021 May;14(5):e007015. doi: 10.1161/CIRCOUTCOMES.120.007015. Epub 2021 May 17. PubMed 33993727 ↗

Study documents

  • Protocol and statistical analysis plan · May 23, 2023

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: Yes — Data collected as part of this project will be released in accordance with standard data sharing policies and procedures. Data will be made available to the broader scientific community after results are published in peer-reviewed journals. Prior to making this data available, data will be redacted to strip identifiers and further de-identified by removing indirect identifiers that could lead to "deductive disclosure" of identities. Due to the small numbers of participants in the qualitative interviews, we do not anticipate sharing raw data from individuals. The agreement will prohibit the recipient from transferring the data to other users, require that the data's security be protected by standard means and be used for research purposes only. After a requestor completes the data-sharing agreement, we will either mail a CD with a limited dataset to the requestor, or email the data through our secure email system that requires users to create an account to receive sensitive data.

Supporting information: Study protocol, Sap, Icf, Csr, Analytic code

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 2, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT03973931
Lead sponsor
University of Colorado, Denver
Collaborators
National Heart, Lung, and Blood Institute (NHLBI)
Responsible party
Sponsor
First posted
Jun 4, 2019
Start date
Jul 1, 2019
Primary completion
May 25, 2023
Completion
Nov 19, 2023
Results posted
Apr 2, 2025
Last update
Apr 2, 2025

Study contacts

Michael Ho, MD, PhD
principal investigator · University of Colorado, Denver
Sheana Bull, PhD, MPH
principal investigator · University of Colorado, Denver

Oversight

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

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