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A Behavioral Economics-Based Telehealth Intervention to Improve Post-MI Medication Adherence

A Behavioral Economics-Based Telehealth Intervention to Improve Post-MI Medication Adherence

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03022266
Enrollment
130
Registered
2017-01-16
Start date
2017-02-01
Completion date
2018-11-14
Last updated
2019-05-09

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

Conditions

Myocardial Infarction, Myocardial Infarction, Acute

Keywords

Adherence, CleverCap® Lite BLE C035, Smartphone App, Telehealth, Digital Health, Mobile Phone App, Behavioral Economics, Aspirin, Wellth App

Brief summary

The proposed study is a pilot randomized clinical trial (RCT). Participants in the intervention arm will participate in a 90-day adherence promotion program based on the theory of behavioral economics and administered through the Wellth mobile phone application. Subjects will be provided a CleverCap® Lite BLE C035 smart pill bottle (electronic monitoring (EM), device) containing a 90-day supply of aspirin (90 pills) and those in the intervention arm will be offered $150 for app-based medication check-ins, which consist of uploading daily photos of pills at the time of administration through the Wellth app. Subjects will have $2 deducted from total rewards for each day that a medication check-in is missed. Subjects in the control arm will receive usual care and be monitored with the same EM device types used in the intervention arm.

Detailed description

Medication adherence is a quantifiable parameter detailing when and how consistently doses are taken. Elements of medication adherence include: 1) the proportion of prescribed drug taken or %PDT (primary outcome); 2) the proportion of days with the correct number of doses taken; 3) the proportion of doses taken on time, in relation to a prescription-defined time interval between successive doses; 4) the distribution of inter-dose intervals; 5) the number of drug holidays; and 6) the longest interval between two doses \[Vrijens et al. British journal of clinical pharmacology. 2012;73(5):691-705\]. Medication adherence will be assessed in all participants using EM technology manufactured by CleverCaps®. Electronic Monitoring (EM) is more sensitive, reliable and valid than other measurement techniques such as pill counts, self-reports, or clinical judgment \[Vrijens et al. Expert review of clinical pharmacology. 2014;7(5):633-644\]. In this study the investigators will monitor a single drug, aspirin, in MI patients prescribed aspirin on hospital discharge. In addition to measurement of medication adherence using an EM device, the investigators will measure adherence using the Wellth cell phone app in the intervention arm. Participants in the intervention arm will also be asked to track their medication-taking habits by uploading photos of their medications at the appropriate dosage times using the Wellth app. Readmissions will be measured using the EMR and by interview to capture events outside the Penn system. Events will be classified according to timing (e.g. 30-day readmission) and cause (e.g. cardiac, all-cause). This study is not designed to detect a statistically significant difference in readmissions.

Interventions

BEHAVIORALFinancial Incentive and Mobile Phone App

Subjects receiving the Financial Incentive and Mobile Phone App will each participate in a 90-day adherence promotion program. When users first log in to the app, the screen will display an incentive of $150 that participants have earned by enrolling in the program. Participants will be told that each missed medication check-in will result in a $2 deduction from the account before it is paid out. Each $50 portion (minus any penalties) of the $150 incentive will be paid out in 30-day installments by remotely crediting a previously distributed debit card. Adherence will be measured simultaneously by app photos and CleverCap(R) electronic monitoring (EM) devices filled with a 90-day supply of aspirin. Claims data will be analyzed for a 90 day period to account for any hospital admissions.

Sponsors

University of Pennsylvania
CollaboratorOTHER
Wellth Inc.
Lead SponsorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
SINGLE (Investigator)

Eligibility

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

Inclusion criteria

* Over 21 years of age * Admitted to one of the University of Pennsylvania hospitals for acute myocardial infarction (ICD-10 codes I21.xx) or unstable angina (ICD 10 codes I20.xxx) * Prescribed once-per-day aspirin at discharge * The patient administers his or her own medications * Own a smartphone with a sufficient data plan or home Wi-Fi to enable app use and avoid overage charges * Able to speak and understand English

Exclusion criteria

* Diagnosis of MI following non-cardiac admission * Discharge to any facility other than the patient's home * Cognitive impairment that limits ability to understand and complete questionnaires * Inability to operate a mobile phone and the Wellth app * Physician-estimated life expectancy less than 6 months

Design outcomes

Primary

MeasureTime frameDescription
Medication Adherence90 DaysBetter medication adherence at 90 days as Percentage of Doses Taken (%PDT) using CleverCap(R) electronic monitoring devices

Secondary

MeasureTime frameDescription
30-Day All-cause Readmissions30 DaysAverage rates of hospital readmissions within 30 days assessed by medical record review and patient interviews
90-Day All-cause Readmissions90 DaysAverage rates of hospital readmissions within 90 days assessed by medical record review and patient interviews
Medication adherence assessed using patient smartphone photos90 Days% PDT will not differ between the app and electronic monitoring measurement approaches
Self-reported self-care90 DaysSelf-care of coronary heart disease inventory

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026