Evidence map›Paper›PMID 40924314›Full record

ArticleJournal of patient-reported outcomes2025

Development of a digitalization concept for assessing patient-reported outcomes in the context of a University Cancer Center - a model for use in clinical routine.

Anna Saibold, Michael Koller, Karolina Mueller, Tobias Pukrop, Michael Rechenmacher, Oliver Koelbl, Fabian Pohl, Julia Maurer

Abstract read
In one paragraph

Article in Journal of patient-reported outcomes, 2025. 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

8 authors.

Anna SaiboldDepartment of Information Technology, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany. a.saibold@ukr.de.ORCID http://orcid.org/0009-0004-2088-1025
Michael KollerCenter for Clinical Studies, University Hospital Regensburg, Regensburg, Germany.
Karolina MuellerCenter for Clinical Studies, University Hospital Regensburg, Regensburg, Germany.
Tobias PukropBavarian Cancer Research Center (BZKF), Regensburg, Germany.
Michael RechenmacherDepartment of Internal Medicine 3, University Hospital Regensburg, Regensburg, Germany.
Oliver KoelblDepartment of Radiation Oncology, University Hospital Regensburg, Regensburg, Germany.
Fabian PohlDepartment of Radiation Oncology, University Hospital Regensburg, Regensburg, Germany.
Julia MaurerBavarian Cancer Research Center (BZKF), Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystematic assessment of patient-reported outcomes (PROs) is essential for identifying supportive care needs in oncology. In contrast to paper-based assessments, digital tools offer key advantages such as real-time data availability, improved data quality, and workflow integration. However, digitalization also entails conceptual and technical challenges, including integration into existing clinical systems, data privacy, IT-security, usability, and data quality. DIGITALIZATION CONCEPT: This short report outlines the development and implementation of a modular digitalization strategy for PRO assessment at the University Cancer Center Regensburg. Based on the ONCO-ROUTES screening tool, the digital concept integrates common standards and applies features such as skip logic, metadata tracking, and optional response settings to balance data quality with patient autonomy. PRO data are temporarily stored and retrieved automatically by the tumor documentation system at regular intervals. Patient representatives of the advisory board were involved in the conception from the initial development stages, including focus groups. Particular emphasis was placed on usability and the respective technical setup including necessary communication interfaces. PRO results can be directly integrated into oncological patient records and hospital databases in a structured format and considered in the context of treatment.

conclusionThe concept and technical solution proved feasible for clinical implementation, enabling structured, patient-centered PRO collection in routine oncology care. Its modular design allows for adaptation to other clinical settings and supports broader efforts to digitally integrate PROs into everyday clinical routine.

Indexed as

Cancer Care FacilitiesNeoplasmsPatient Reported Outcome MeasuresDigital HealthHumans

Identifiers

PMID40924314
PMCPMC12420539

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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.