Feasibility and User Experience of Digital Patient Monitoring for Real-World Patients With Lung or Breast Cancer
- PMID: 38007400
- PMCID: PMC10994260
- DOI: 10.1093/oncolo/oyad289
Feasibility and User Experience of Digital Patient Monitoring for Real-World Patients With Lung or Breast Cancer
Abstract
Background: Digital patient monitoring (DPM) tools can facilitate early symptom management for patients with cancer through systematic symptom reporting; however, low adherence can be a challenge. We assessed patient/healthcare professional (HCP) use of DPM in routine clinical practice.
Materials and methods: Patients with locally advanced/metastatic lung cancer or HER2-positive breast cancer received locally approved/reimbursed drugs alongside DPM, with elements tailored by F. Hoffmann-La Roche Ltd, on the Kaiku Health DPM platform. Patient access to the DPM tool was through their own devices (eg, laptops, PCs, smartphones, or tablets), via either a browser or an app on Apple iOS or Android devices. Coprimary endpoints were patient DPM tool adoption (positive threshold: 60%) and week 1-6 adherence to weekly symptom reporting (positive threshold: 70%). Secondary endpoints included experience and clinical impact.
Results: At data cutoff (June 9, 2022), adoption was 85% and adherence was 76%. Customer satisfaction and effort scores for patients were 76% and 82%, respectively, and 83% and 79% for HCPs. Patients spent approximately 10 minutes using the DPM tool and completed approximately 1.0 symptom questionnaires per week (completion time 1-4 minutes). HCPs spent approximately 1-3 minutes a week using the tool per patient. Median time to HCP review for alerted versus non-alerted symptom questionnaires was 19.6 versus 21.5 hours. Most patients and HCPs felt that the DPM tool covered/mostly covered symptoms experienced (71% and 75%), was educational (65% and 92%), and improved patient-HCP conversations (70% and 83%) and cancer care (51% and 71%).
Conclusion: The DPM tool demonstrated positive adoption, adherence, and user experience for patients with lung/breast cancer, suggesting that DPM tools may benefit clinical cancer care.
Keywords: breast cancer; digital patient monitoring; eHealth; lung cancer; patient-reported outcomes; symptom monitoring.
© The Author(s) 2023. Published by Oxford University Press.
Conflict of interest statement
All authors received research support in the form of third-party medical writing assistance from F. Hoffmann-La Roche Ltd. Edurne Arriola reported consulting/advisory relationships with Lilly and Boehringer Ingelheim, and honoraria from Roche, MSD, BMS, AstraZeneca, Pfizer, Thermo Fisher Scientific, Guardant Health, and Takeda. Jana Jaal reported research funding from Roche, and consulting/advisory relationships with MSD and AstraZeneca. Anne Edvardsen reported research funding from Roche. Maria Silvoniemi reported a consulting/advisory relationship with Roche. Antonio Araujo reported research funding from Roche. Anders Vikström reported consulting/advisory relationships with Merck, BMS, MSD, and Pfizer, and honoraria from MSD, AstraZeneca, Roche, and BMS. Eleni Zairi and Mari Carmen Rodriguez-Mues: Authors declare no other competing interests. Marco Roccato is an employee of Kaiku Health. Sophie Schneider is an employee of F. Hoffmann-La Roche AG, with ownership interests. Johannes Ammann is an employee of F. Hoffmann-La Roche AG, with ownership interests.
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