Pilot Study of a Mobile Phone Chatbot for Medication Adherence and Toxicity Management Among Patients With GI Cancers on Capecitabine

Author:

Lau-Min Kelsey S.1ORCID,Marini Jessica2,Shah Nishant K.3ORCID,Pucci Donna4ORCID,Blauch Abigail N.4,Cambareri Christine2,Mooney Bethany4,Agarwal Parul4ORCID,Johnston Caleb5,Schumacher Ryan P.5,White Kyle5,Gabriel Peter E.3ORCID,Rosin Roy6ORCID,Jacobs Linda A.4ORCID,Shulman Lawrence N.4ORCID

Affiliation:

1. Division of Hematology/Oncology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA

2. Hospital of the University of Pennsylvania, Penn Medicine, Philadelphia, PA

3. Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA

4. Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA

5. Memora Health, San Francisco, CA

6. Center for Health Care Innovation, Penn Medicine, Philadelphia, PA

Abstract

PURPOSE Capecitabine is an oral chemotherapy used to treat many gastrointestinal cancers. Its complex dosing and narrow therapeutic index make medication adherence and toxicity management crucial for quality care. METHODS We conducted a pilot study of PENNY-GI, a mobile phone text messaging–based chatbot that leverages algorithmic surveys and natural language processing to promote medication adherence and toxicity management among patients with gastrointestinal cancers on capecitabine. Eligibility initially included all capecitabine-containing regimens but was subsequently restricted to capecitabine monotherapy because of challenges in integrating PENNY-GI with radiation and intravenous chemotherapy schedules. We used design thinking principles and real-time data on safety, accuracy, and usefulness to make iterative refinements to PENNY-GI with the goal of minimizing the proportion of text messaging exchanges with incorrect medication or symptom management recommendations. All patients were invited to participate in structured exit interviews to provide feedback on PENNY-GI. RESULTS We enrolled 40 patients (median age 64.5 years, 52.5% male, 62.5% White, 55.0% with colorectal cancer, 50.0% on capecitabine monotherapy). We identified 284 of 3,895 (7.3%) medication-related and 13 of 527 (2.5%) symptom-related text messaging exchanges with incorrect recommendations. In exit interviews with 24 patients, participants reported finding the medication reminders reliable and user-friendly, but the symptom management tool was too simplistic to be helpful. CONCLUSION Although PENNY-GI provided accurate recommendations in >90% of text messaging exchanges, we identified multiple limitations with respect to the intervention's generalizability, usefulness, and scalability. Lessons from this pilot study should inform future efforts to develop and implement digital health interventions in oncology.

Publisher

American Society of Clinical Oncology (ASCO)

Reference30 articles.

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