Feasibility and User Experience of Digital Patient Monitoring for Real-World Patients With Lung or Breast Cancer
Overview
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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.
Blakely L, Oskar S, Kudel I, Roush A, Shamsi Z, Perry T J Comp Eff Res. 2025; 14(2):e240122.
PMID: 39819032 PMC: 11773859. DOI: 10.57264/cer-2024-0122.
Joly F, Bazan F, Garbay Decoopman D, Garbay D, Ouldbey Y, Follana P JNCI Cancer Spectr. 2024; 9(1).
PMID: 39673810 PMC: 11878563. DOI: 10.1093/jncics/pkae114.
Lambert S, Soldera S, Kazdan J, Frati F, Slominska A, Boutin M JNCI Cancer Spectr. 2024; 8(6).
PMID: 39468738 PMC: 11660428. DOI: 10.1093/jncics/pkae102.