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Implementation Strategies for Monitoring Adherence in Real Time

Implementation Strategies for Monitoring Adherence in Real Time

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04347161
Acronym
iSMART
Enrollment
75
Registered
2020-04-15
Start date
2021-02-22
Completion date
2026-10-16
Last updated
2026-03-04

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

Conditions

Lung Cancer, Medication Adherence, Symptoms and Signs

Keywords

medication adherence, symptom management, non-small cell lung cancer, implementation science, digital health, behavioral science

Brief summary

The objective of this project is to identify effective strategies to help patients with lung cancer manage side effects and achieve optimal adherence to oral targeted therapies. To achieve this objective, we will evaluate the effect of a novel, bidirectional conversational agent, compared to usual care, on adherence to oral targeted therapies using a two-arm randomized controlled trial, and explore how multilevel factors impact the acceptability and effectiveness of this strategy by collecting qualitative and quantitative data from clinicians and patients.

Detailed description

Drawing from insights in behavioral economics and implementation science, the goal of our project is to identify effective strategies for improving lung cancer outcomes by helping patients to better manage symptoms and adhere to oral therapies. Given the rapid increase in FDA-approved targeted therapies, the need for such strategies will continue to grow. Our central hypothesis is that conversational agent will improve adherence to oral therapies by targeting patient-level determinants of behavior change. The specific aims are to: 1) Test the effects of a patient-directed intervention (conversational agent) to improve adherence to oral targeted therapies in patients with non-small cell lung cancer.; and 2) Use mixed-methods approaches with clinicians and patients to explore multilevel factors shaping the acceptability, effectiveness, and future implementation of intervention into routine cancer care. Primary trial outcomes (adherence and persistence) will be measured using microelectronic monitoring system (MEMS) caps. Secondary outcomes will be assessed using longitudinal surveys and medical record data.

Interventions

DEVICEConversational Agent/Chatbot

Via text messages, the bidirectional, conversation agent provides specific dosing instructions and motivational reminders to promote oral targeted therapy adherence and symptom management. Patients can report symptoms at any time via text message and are also prompted to report symptoms and medication adherence at periodic intervals. Reported symptoms are monitored and managed algorithmically according severity. High-grade symptoms are triaged directly to the patients' cancer care team. Patients in the intervention arm will use MEMS caps to enable capture of the primary outcome and asked to complete longitudinal surveys.

OTHERUsual Care

Patients in the control arm will receive usual care, which includes receiving information about dosing and self-administration of oral therapy, and anticipatory guidance for patients regarding management of side effects. Patients in the control arm will use MEMS caps to enable capture of the primary outcome and asked to complete longitudinal surveys.

Sponsors

Abramson Cancer Center at Penn Medicine
Lead SponsorOTHER
Lung Cancer Research Foundation
CollaboratorOTHER
Pfizer
CollaboratorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
SINGLE (Outcomes Assessor)

Masking description

Due to the nature of the intervention, participants and their care providers (including investigators) will not be blinded. The primary analyst and outcomes assessor will be blinded. Blinding may be broken in an emergency.

Intervention model description

Patients with lung cancer receiving oral targeted therapies at recruitment sites will be randomized (1:1 stratified by drug class and prescription status) to receive intervention or usual care.

Eligibility

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

Inclusion criteria

* Adult patient (age \> 18 years) with NSCLC at UPHS who is receiving one of the following nine oral therapies: afatinib, erlotinib, dacomitinib, gefitinib, osimertinib, alectinib, brigatinib, crizotinib, or lorlatinib. * Patient possession of a mobile device that can send/receive SMS texts * Ability to respond to questions and engage with "Penny" in English * Ability to provide informed consent to participate in the study * Approval from the patient's medical oncologist to be approached

Exclusion criteria

* Inability to respond to questions and engage with "Penny" in English * Inability or unwillingness to provide informed consent to participate in the study * Inability to engage with SMS text-messaging platform * Concurrent enrollment in a therapeutic clinical trial * Taking more than one oral targeted therapy or concurrent chemotherapy during the study window * Lack of approval from the patient's oncologist

Design outcomes

Primary

MeasureTime frameDescription
Adherence12 weeks after study initiation or at therapy discontinuation, whichever is shorterDefined as number of patients who have 95% or greater adherent days across the study period based on their prescribed dose. Adherence data will be assessed via MEMS caps, which capture a date and time stamp each time the pill bottle is opened.

Secondary

MeasureTime frameDescription
Persistence12 weeks after study initiation or at therapy discontinuation, whichever is shorterDefined as the average number of total days on the regimen before discontinuation measured using MEMS caps across participants

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORKatharine A Rendle, PhD,MSW,MPH

University of Pennsylvania

PRINCIPAL_INVESTIGATORSamuel U Takvorian, MD, MSHP

University of Pennsylvania

Participant flow

Participants by arm

ArmCount
Intervention Arm
Participants in the intervention arm will be tracked and able to engage with the intervention (conversational agent) on their mobile telephone for 12 weeks. Conversational Agent/Chatbot: Via text messages, the bidirectional, conversation agent provides specific dosing instructions and motivational reminders to promote oral targeted therapy adherence and symptom management. Patients can report symptoms at any time via text message and are also prompted to report symptoms and medication adherence at periodic intervals. Reported symptoms are monitored and managed algorithmically according severity. High-grade symptoms are triaged directly to the patients' cancer care team. Patients in the intervention arm will use MEMS caps to enable capture of the primary outcome and asked to complete longitudinal surveys.
38
Control Arm
Patients in the control arm will receive usual care, which includes clinician-driven education on medication management and self-monitoring of symptoms. Usual Care: Patients in the control arm will receive usual care, which includes receiving information about dosing and self-administration of oral therapy, and anticipatory guidance for patients regarding management of side effects. Patients in the control arm will use MEMS caps to enable capture of the primary outcome and asked to complete longitudinal surveys.
37
Total75

Baseline characteristics

CharacteristicIntervention ArmTotalControl Arm
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
24 Participants41 Participants17 Participants
Age, Categorical
Between 18 and 65 years
14 Participants34 Participants20 Participants
Age, Continuous63.6 years
STANDARD_DEVIATION 2.4
62.3 years
STANDARD_DEVIATION 1.5
61.3 years
STANDARD_DEVIATION 2
Ethnicity (NIH/OMB)
Hispanic or Latino
0 Participants0 Participants0 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
36 Participants70 Participants34 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
2 Participants5 Participants3 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
2 Participants3 Participants1 Participants
Race (NIH/OMB)
Black or African American
3 Participants3 Participants0 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants2 Participants2 Participants
Race (NIH/OMB)
White
33 Participants67 Participants34 Participants
Region of Enrollment
United States
38 participants75 participants37 participants
Sex: Female, Male
Female
22 Participants48 Participants26 Participants
Sex: Female, Male
Male
16 Participants27 Participants11 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 382 / 37
other
Total, other adverse events
1 / 380 / 37
serious
Total, serious adverse events
0 / 380 / 37

Outcome results

Primary

Adherence

Defined as number of patients who have 95% or greater adherent days across the study period based on their prescribed dose. Adherence data will be assessed via MEMS caps, which capture a date and time stamp each time the pill bottle is opened.

Time frame: 12 weeks after study initiation or at therapy discontinuation, whichever is shorter

Population: Analysis population includes those patients with available adherence data (i.e., MEMS data successfully assessed).

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Intervention ArmAdherence18 Participants
Control ArmAdherence20 Participants
Secondary

Persistence

Defined as the average number of total days on the regimen before discontinuation measured using MEMS caps across participants

Time frame: 12 weeks after study initiation or at therapy discontinuation, whichever is shorter

ArmMeasureValue (MEAN)Dispersion
Intervention ArmPersistence78.4 daysStandard Error 2.3
Control ArmPersistence79.8 daysStandard Error 2.7

Source: ClinicalTrials.gov · Data processed: May 30, 2026