Evidence map›Paper›PMID 41824067›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Adaptation of digital integration of PROMs and PREMs in oncology during implementation: a scoping review.

Nuša Farič, Anne-Lore Scherrens, Eveline Raemdonck, Kim Beernaert, Kathrin Cresswell, An Jacobs, Tonje Lundeby, Koen Pardon, Robin Williams, Femke Van Landschoot and 8 more

Abstract readScoping Review
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Nuša FaričInstitute for Adaptive and Neural Computation, School of Informatics, The University of Edinburgh, 10 Crichton St, Edinburgh, EH8 9AB, UK. nfaric@ed.ac.uk.
Anne-Lore ScherrensEnd-of-Life Care Research Group, Vrije Universiteit Brussel (VUB) and Ghent University, Brussels, Belgium.
Eveline RaemdonckEnd-of-Life Care Research Group, Vrije Universiteit Brussel (VUB) and Ghent University, Brussels, Belgium.
Kim BeernaertEnd-of-Life Care Research Group, Vrije Universiteit Brussel (VUB) and Ghent University, Brussels, Belgium.
Kathrin CresswellUsher Institute, The University of Edinburgh, Edinburgh, UK.
An JacobsImec-SMIT Research Group, Department of Media and Communication Studies, Vrije Universiteit Brussel, Brussels, Belgium.
Tonje LundebyInstitute of Clinical Medicine, University Hospital, University of Oslo, Oslo, Norway.
Koen PardonEnd-of-Life Care Research Group, Vrije Universiteit Brussel (VUB) and Ghent University, Brussels, Belgium.
Robin WilliamsInstitute for the Study of Science, Technology and Innovation, The University of Edinburgh, Edinburgh, UK.
Femke Van LandschootEnd-of-Life Care Research Group, Vrije Universiteit Brussel (VUB) and Ghent University, Brussels, Belgium.
Judith de Vos-GeelenDepartment of Internal Medicine, Division of Medical Oncology, GROW - Research Institute for Oncology & Reproduction, Maastricht University Medical Center, Maastricht, the Netherlands.
Dag AusenDNV Imatis, Porsgrunn, Norway.
Amaia UrrizolaInstitute of Clinical Medicine, University Hospital, University of Oslo, Oslo, Norway.
Marianne Jensen HjermstadInstitute of Clinical Medicine, University Hospital, University of Oslo, Oslo, Norway.
Stein KaasaInstitute of Clinical Medicine, University Hospital, University of Oslo, Oslo, Norway.
Marie FallonEdinburgh Cancer Research Centre, Institute of Genetics and Cancer (IGC), The University of Edinburgh, Edinburgh, UK.
Luc DeliensEnd-of-Life Care Research Group, Vrije Universiteit Brussel (VUB) and Ghent University, Brussels, Belgium.
MyPath consortium

Funding

HORIZON EUROPE European Research Council 101057514
6 · The paper itself

Abstract

purposeDigital tools facilitate the timely collection of patient-reported outcome and experience measures (ePROMs/PREMs), but there is no consistent reporting on the technical and content adaptations made essential to implementing these digital tools in a specific context. Adaptations made to ePROMs/ePREMs can improve data quality, clinical management, and patient outcomes. We explored how studies report on adaptations and the reasons and types of these during an implementation process of ePROMs/ePREMs systems in routine cancer care.

methodsWe conducted a systematic scoping review. We searched PubMed, Embase, PsychINFO, and CINAHL (inception-May 5, 2023), using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist. Guided by the Population, Concept, and Context (PCC) framework, data were extracted and summarised in tables in four dimensions: context, content, evaluation, and training.

resultsThe systematic search found n = 5597 publications, and n = 20 were included (85% published since 2019). No studies reported on ePREMs. Various data collection methods and stakeholders were utilised to make adaptations, guided by one or more implementation frameworks (80% of studies). Common types of adaptations included changing context (e.g. complex onboarding), content (e.g. readability) (all studies), evaluation (e.g. alerts), and training (e.g. patients and clinicians). The use of an implementation framework did not affect the types of adaptations made.

conclusionsThis review summarises the types of adaptations made to oncology ePROMs during implementation. To date, there has been no agreed system to capture adaptations of ePROMs in oncology, nor a system or framework to assess ePROMs efficacy.

Indexed as

Digital HealthMedical OncologyNeoplasmsPatient Reported Outcome MeasuresHumansCare management–patientDigital healthHealthcare quality indicatorsPalliative carePatient-reported outcome measuresPsycho-oncology

Identifiers

PMID41824067
PMCPMC12987908

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.