ArticleThe oncologist2024
Feasibility and User Experience of Digital Patient Monitoring for Real-World Patients With Lung or Breast Cancer.
Article in The oncologist, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Improving real-world evaluation of patient- and physician-reported tolerability: niraparib for recurrent ovarian cancer (NiQoLe).JNCI cancer spectrum · 2025Trial
- The Current Landscape of Remote Digital Symptom Monitoring for Patients With Lung Cancer: Scoping Review.Journal of medical Internet research · 2026Article
- Acceptability of Health Information Technology by Health Care Professionals: Where We Are Now and How We Can Fill the Gap.Journal of medical Internet research · 2025Review
- Systematic review on the technology's role in supporting lung cancer patients in the treatment journey.NPJ digital medicine · 2025Article
- Optimizing Adjuvant Care in Early Breast Cancer: Multidisciplinary Strategies and Innovative Models from Canadian Centers.Current oncology (Toronto, Ont.) · 2025Review
- Real-world ePRO use and clinical outcomes using electronic patient-reported symptom monitoring for patients with advanced non-small-cell lung cancer receiving first-line pembrolizumab.Journal of comparative effectiveness research · 2025Observational
- Patient-reported outcome measure (PROM) programs for monitoring symptoms among patients treated with immunotherapy: a scoping review.JNCI cancer spectrum · 2024Article
Corrections and comments
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Authors and funding
11 authors at 9 institutions in 8 countries.
Funding
Abstract
backgroundDigital 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
methodsPatients 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.
resultsAt 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%).
conclusionThe DPM tool demonstrated positive adoption, adherence, and user experience for patients with lung/breast cancer, suggesting that DPM tools may benefit clinical cancer care.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.