Evidence map›Paper›PMID 38007400›Full record

ArticleThe oncologist2024

Feasibility and User Experience of Digital Patient Monitoring for Real-World Patients With Lung or Breast Cancer.

Edurne Arriola, Jana Jaal, Anne Edvardsen, Maria Silvoniemi, António Araújo, Anders Vikström, Eleni Zairi, Mari Carmen Rodriguez-Mues, Marco Roccato, Sophie Schneider and 1 more

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 9 institutions in 8 countries.

Edurne ArriolaMedical Oncology Department, Hospital del Mar, Barcelona, Spain.
Jana JaalDepartment of Hematology and Oncology, University of Tartu, Tartu, Estonia.
Anne EdvardsenDepartment of Pulmonary Medicine, Akershus University Hospital, Lørenskog, Norway.
Maria SilvoniemiDepartment of Pulmonary Medicine, Turku University Hospital, Turku, Finland.
António AraújoDepartment of Medical Oncology, Centro Hospitalar Universitário de Santo António, Porto, Portugal.
Anders VikströmPulmonary Clinic, University Hospital, Linköping, Sweden.
Eleni ZairiMedical Oncology Department, St. Luke's Hospital, Thessaloniki, Greece.
Mari Carmen Rodriguez-MuesMedical Oncology Department, Hospital Clínico Barcelona, Barcelona, Spain.
Marco RoccatoProgram Manager Office (PMO), Kaiku Health, Helsinki, Finland.
Sophie SchneiderPharma Personalised Healthcare, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Johannes AmmannGlobal Product Development Medical Affairs, F. Hoffmann-La Roche Ltd, Basel, Switzerland.ORCID 0000-0002-4656-0949
Roche (Switzerland) · CHAkershus University Hospital · NOHospital Clínic de Barcelona · ESHospital Del Mar · ESLinköping University Hospital · SESt. Luke's Hospital · GRTurku University Hospital · FIUniversidade do Porto · PTUniversity of Tartu · EE

Funding

F. Hoffmann-La Roche Ltd
6 · The paper itself

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.

Indexed as

Breast NeoplasmsLung NeoplasmsFeasibility StudiesFemaleHumansLungMonitoring, Physiologicbreast cancerdigital patient monitoringeHealthlung cancerpatient-reported outcomessymptom monitoring

Identifiers

PMID38007400
PMCPMC10994260
OpenAlexW4389005090

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.