Evidence map›Paper›PMID 42005927›Full record

ArticleEClinicalMedicine2026

Digital illiteracy and access to remote patient monitoring in oncology: a multicentre study of healthcare providers' perceptions and patient-reported digital literacy.

Eléna Prospero, Alexandre Yazigi, Roman Rouzier, Maria Alice Franzoi, Jean-Matthieu L'Orphelin

Abstract read
In one paragraph

Article in EClinicalMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Eléna ProsperoDepartment of Dermatology, Caen-Normandy University Hospital, Avenue de la Côte de Nacre, F-14000, CAEN, France.
Alexandre YazigiResilience Care, Medical Department, Paris, France.
Roman RouzierSurgical Oncology Department, Comprehensive Cancer Center François Baclesse, UNICANCER, 14000, Caen, France.
Maria Alice FranzoiUniversité Paris-Saclay, Gustave Roussy, Inserm, CESP, F-94805, Villejuif, France.
Jean-Matthieu L'OrphelinDepartment of Dermatology, Caen-Normandy University Hospital, Avenue de la Côte de Nacre, F-14000, CAEN, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Remote patient monitoring (RPM) through electronic patient-reported outcomes (ePROs) has been shown to improve symptom management, treatment adherence, and quality of care in oncology. Despite these benefits, implementation in routine practice remains challenging due to organisational constraints, digital literacy gaps among patients and providers, and variability in institutional adoption of RPM. Vulnerable patients are among those who most benefit from such pathways but may have difficulty accessing these tools. Digital illiteracy, defined as difficulty using digital tools, is associated with age, education, and social vulnerability. Healthcare providers play a key role in initiating RPM but may hold implicit biases that influence patients' access. This study aimed to evaluate healthcare providers' perceptions and patient-reported digital literacy influence on access to RPM and patient engagement, potentially contributing to disparities in symptom monitoring in routine oncology care. Methods: We conducted a multi-component observational study across oncology centres in France and Belgium. First, a cross-sectional survey was distributed to healthcare providers to assess their confidence in digital tools and the factors influencing their RPM prescriptions. Two composite scores were developed: a Practitioner Representation Score and a Patient Capability Projection Score. Second, a prospective (September 2023 to December 2024) single-centre survey captured consultation-level decisions around RPM proposals. Third, we analysed patient-reported outcomes, through a retrospective observational cohort (June 2022 to March 2025), to evaluate adherence and symptom burden according to self-declared digital literacy. Findings: Healthcare providers (n = 103) reported high personal confidence with digital health (49.5/65), but their perception of patient digital capacity was significantly influenced by age, socioeconomic status, and geriatric vulnerability (31.0/40). In clinical practice, RPM was influenced by perceived social isolation and patient's understanding of the digital tool (3.9/5), language barriers, and smartphone ownership (3.2/5). Among patients (n = 4762), those with unfavourable digital literacy (n = 1308) had higher baseline symptom burden but demonstrated comparable adhesion (81.3% vs 85.6%; p < 0.0001) and similar symptom improvement after alerts compared to their digitally literate peers (96.4%; p = 0.99). Interpretation: Healthcare providers bias and perceived digital barriers may restrict equitable access to RPM. However, patients with low digital literacy, who often experience more severe symptoms, can engage effectively when included and may benefit most. Efforts to mitigate bias, adapt tools, and support onboarding and engagement are essential to ensure digital equity in cancer care. Funding: Breast Cancer Research and Resilience Care. Maria Alice Franzoi reports funding from IHU PRISM (Agence Nationale de la Recherche) [grant number ANR-18-IBHU-0002]; Agence Nationale de la Recherche under the Investissements Program integrated into France 2030 [WeShare grant number ANR-21-ESRE-0017] a Conquer Cancer-Breast Cancer Research Foundation Career Development Award for Diversity and Inclusion, supported by Breast Cancer Research Foundation (no grant number).

Indexed as

Digital health equityDigital illiteracyePROsImplementation scienceImplicit biasOncology care deliveryRemote symptom monitoringRoutine care

Identifiers

PMID42005927
PMCPMC13087452

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.