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'Penny', a SMS Text-based Chatbot Intervention for Medication Adherence and Side Effect Management Among Patients With GI Cancers

Primary Purpose

Gastrointestinal Cancer

Status
Recruiting
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
'Penny' via Memora Platform
Sponsored by
Abramson Cancer Center at Penn Medicine
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional supportive care trial for Gastrointestinal Cancer

Eligibility Criteria

18 Years - undefined (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • Adults (age >18 years) with a diagnosis of a GI cancer, that is receiving one of the below treatments:

    • Capecitabine ONLY
    • Capecitabine concurrent with Radiation Therapy
    • Capecitabine with Temozolomide
    • Capecitabine with Oxaliplatin
    • Capecitabine with Mitomycin and concurrent Radiation Therapy

Exclusion Criteria:

-

Sites / Locations

  • Abramson Cancer CenterRecruiting

Arms of the Study

Arm 1

Arm Type

Experimental

Arm Label

Penny, a SMS Text-based chatbot intervention

Arm Description

This is a single arm study. All recruited patients will be entered on the Penny SMS Text-based chatbot intervention.

Outcomes

Primary Outcome Measures

Patient Safety of the Patient - Penny Chatbot interactions with patients will be assessed for accuracy of medication directions and triaging of symptoms reported and number of incorrect interactions between Penny and Patients will be measured.
Penny will triage patient-reported side effects based on CTCAE guidelines. If the side effect is determined to be a grade one or two, patients will be walked through self-care by the bot utilizing pre-determined algorithms. If the side effect is deemed grade three or higher or if the chatbot does not recognize the symptom to triage, an Epic inbox message will trigger to the patients care team to follow-up directly with the patient. While the chatbot will be responding independently, members of the investigative team will monitor and audit ALL conversations between the patient and Penny to validate its safety, track for any information that may be relayed to the patient incorrectly and intervene upon these events to guarantee patient safety
Medication Compliance - Will assess accuracy of medication reminders to patients and patient adherence to prescribed medication dosing and schedule
Over an approximate three-month treatment period, Penny will guide patients through when and how to take their oral chemotherapies as well as any supportive medications designed to improve regimen compliance. Penny will text patient to walk them through what medications to take, how to take them and any other supplemental pieces involved with their medication regimen based on specified instructions outlined by their providers, i.e. specific timing of medications in relation to meals. After the three-month treatment period, medication compliance will be assessed by looking at how many times the patient responds 'taken' after begin prompted with a medication reminder.
Patient Engagement with the Penny chatbot
The intervention will be measured longitudinally by patient engagement with Penny using a threshold of 80%. That number will be calculated by the following formula: Number of patient responses within two hours of Penny initiating a conversation divided by the total number times Penny initiates a conversation.

Secondary Outcome Measures

Patient Satisfaction with the Penny chatbot interactions will be measured by the Promoter Score
In order to quantify this, we will ask every patient using Penny to grade their experience using Penny utilizing the Net Promoter Score (NPS). This will be completed at the end of their three-month enrollment period.

Full Information

First Posted
October 19, 2021
Last Updated
August 8, 2023
Sponsor
Abramson Cancer Center at Penn Medicine
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1. Study Identification

Unique Protocol Identification Number
NCT05113264
Brief Title
'Penny', a SMS Text-based Chatbot Intervention for Medication Adherence and Side Effect Management Among Patients With GI Cancers
Official Title
A Feasibility Study of Electronic Medication Adherence Reminders and Side Effect Management by an Artificial Intelligence ChatBot Via Mobiles Phones Among Patients With Gastrointestinal Cancers
Study Type
Interventional

2. Study Status

Record Verification Date
August 2023
Overall Recruitment Status
Recruiting
Study Start Date
August 2, 2021 (Actual)
Primary Completion Date
June 1, 2024 (Anticipated)
Study Completion Date
September 1, 2024 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Abramson Cancer Center at Penn Medicine

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No

5. Study Description

Brief Summary
There has been a dramatic paradigm shift over the last 25 years within cancer care due to the onset of many new targeted therapies and a transition from inpatient to outpatient care. Hand in hand with this shift has been the increased development and use of oral anti-cancer drugs, including cytotoxic chemotherapies that patients self-administer at home versus administration of an intravenous product at an infusion center. One of the main drivers for the growth and popularity of oral chemotherapy has been patient preference. However, an incorrect assumption exists among patients that oral therapy is associated with minimal side effects. According to the 2008 NCCN Task Force Report on Oral Chemotherapy, "some patients may incorrectly assume that oral chemotherapy is not "real" chemotherapy and is more akin to taking a vitamin or antibiotic. Furthermore, patients must understand that oral equivalents of cytotoxic therapies, such as capecitabine, have side effects that are similar to their parenteral counterparts in this case, fluorouracil. The need to monitor for side effects and titrate dosages increases the complexity of oral chemotherapy regimens". Self-administration of these complex oral therapies causes patients to become more autonomous in their care, without medical supervision of doses between office visits. Due to the lack of oversight, there is a concern of compromised efficacy if patients take less than the prescribed doses, or increased, sometimes life-threatening, toxicity, often between office visits, if more than the prescribed dose is taken. Both daily dose and schedule can be complicated for patients to comprehend and follow. Capecitabine is a particularly complex oral chemotherapy, with 2 pill dose sizes, dosing by Body Surface Area (BSA), twice a day dosing, and days of on therapy and days off of therapy. For this reason, capecitabine has been chosen as the backbone for regimens that will be studied. As noted in section 5.3 capecitabine might be combined with other oral chemotherapies, Parenteral chemotherapy or radiation therapy. The investigators believe there is an opportunity in this space to improve oral chemotherapy adherence by walking patients through how and when to take their oral therapies remotely, as well as to better manage toxicity by gathering more information from the patient during their treatment.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Gastrointestinal Cancer

7. Study Design

Primary Purpose
Supportive Care
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Masking
None (Open Label)
Allocation
N/A
Enrollment
140 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Penny, a SMS Text-based chatbot intervention
Arm Type
Experimental
Arm Description
This is a single arm study. All recruited patients will be entered on the Penny SMS Text-based chatbot intervention.
Intervention Type
Device
Intervention Name(s)
'Penny' via Memora Platform
Intervention Description
The overall objective of this study is to evaluate the feasibility and safety of a novel SMS text- based intervention of an Algorithmically Driven Augmented Intelligence chatbot, "Penny". This chat bot will walk patients through how and when to take their oral chemotherapies, as well as provide real-time management of side effects Grade II or less, and escalate to the clinical team side effects of Grade III or more, as based on the Common Terminology Criteria for Adverse Events (CTCAE), for patients that have a gastrointestinal (GI) cancer.
Primary Outcome Measure Information:
Title
Patient Safety of the Patient - Penny Chatbot interactions with patients will be assessed for accuracy of medication directions and triaging of symptoms reported and number of incorrect interactions between Penny and Patients will be measured.
Description
Penny will triage patient-reported side effects based on CTCAE guidelines. If the side effect is determined to be a grade one or two, patients will be walked through self-care by the bot utilizing pre-determined algorithms. If the side effect is deemed grade three or higher or if the chatbot does not recognize the symptom to triage, an Epic inbox message will trigger to the patients care team to follow-up directly with the patient. While the chatbot will be responding independently, members of the investigative team will monitor and audit ALL conversations between the patient and Penny to validate its safety, track for any information that may be relayed to the patient incorrectly and intervene upon these events to guarantee patient safety
Time Frame
12 month
Title
Medication Compliance - Will assess accuracy of medication reminders to patients and patient adherence to prescribed medication dosing and schedule
Description
Over an approximate three-month treatment period, Penny will guide patients through when and how to take their oral chemotherapies as well as any supportive medications designed to improve regimen compliance. Penny will text patient to walk them through what medications to take, how to take them and any other supplemental pieces involved with their medication regimen based on specified instructions outlined by their providers, i.e. specific timing of medications in relation to meals. After the three-month treatment period, medication compliance will be assessed by looking at how many times the patient responds 'taken' after begin prompted with a medication reminder.
Time Frame
12 months
Title
Patient Engagement with the Penny chatbot
Description
The intervention will be measured longitudinally by patient engagement with Penny using a threshold of 80%. That number will be calculated by the following formula: Number of patient responses within two hours of Penny initiating a conversation divided by the total number times Penny initiates a conversation.
Time Frame
12 months
Secondary Outcome Measure Information:
Title
Patient Satisfaction with the Penny chatbot interactions will be measured by the Promoter Score
Description
In order to quantify this, we will ask every patient using Penny to grade their experience using Penny utilizing the Net Promoter Score (NPS). This will be completed at the end of their three-month enrollment period.
Time Frame
12 months

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Adults (age >18 years) with a diagnosis of a GI cancer, that is receiving one of the below treatments: Capecitabine ONLY Capecitabine concurrent with Radiation Therapy Capecitabine with Temozolomide Capecitabine with Oxaliplatin Capecitabine with Mitomycin and concurrent Radiation Therapy Exclusion Criteria: -
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Lawrence N Shulman, MD
Phone
215-615-5858
Email
Lawrence.Shulman@pennmedicine.upenn.edu
First Name & Middle Initial & Last Name or Official Title & Degree
Abigail Blauch, MPH
Phone
215-615-6825
Email
abigail.blaush@pennmedicine.upenn.edu
Facility Information:
Facility Name
Abramson Cancer Center
City
Philadelphia
State/Province
Pennsylvania
ZIP/Postal Code
19104
Country
United States
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Lawrence N Shulman, MD
Phone
215-615-5858
Email
Lawrence.Shulman@pennmedicine.upenn.edu
First Name & Middle Initial & Last Name & Degree
Lawrence N Shulman, MD

12. IPD Sharing Statement

Plan to Share IPD
No

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'Penny', a SMS Text-based Chatbot Intervention for Medication Adherence and Side Effect Management Among Patients With GI Cancers

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