Evidence map›Paper›PMID 42527580›Full record

Articlenpj health systems2026

National scale up of PROM based monitoring after joint replacement in Germany.

Laura Wittich, Lukas Schöner, David Ehlig, Reinhard Busse, Justus Vogel

Abstract read
In one paragraph

Article in npj health systems, 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

5 authors.

Laura Wittich *Faculty of Economics and Management, Department of Health Care Management, Technische Universität Berlin, Berlin, Germany. wittich.1@tu-berlin.de.
Lukas Schöner *Faculty of Economics and Management, Department of Health Care Management, Technische Universität Berlin, Berlin, Germany.
David EhligSchool of Medicine, Chair of Health Economics, Policy and Management, University of St. Gallen, St. Gallen, Switzerland.
Reinhard BusseFaculty of Economics and Management, Department of Health Care Management, Technische Universität Berlin, Berlin, Germany.
Justus VogelSchool of Medicine, Chair of Health Economics, Policy and Management, University of St. Gallen, St. Gallen, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient-reported outcome measures (PROMs) can extend follow-up after joint replacement beyond discharge. Using Germany as a case example, national scalability and its potential impact on cost and health outcomes of a trial-proven PROM-based digital monitoring intervention were assessed. A four-step extrapolation mapped trial tasks and time, removed study-only procedures to derive streamlined delivery models, projected national implementation costs (personnel, licence fees, integration), and modelled population-level effects using trial outcomes and insurance claims. Personnel time decreased from 62 min per patient (trial) to 21 min in a hybrid model that retained limited human touchpoints and to 10 min in an automated model that restricted human involvement to safety-critical interventions, with costs of €158, €133 and €127, respectively. Assuming constant effectiveness, estimated health gains were 0.023-0.025 QALYs per patient with €218-€249 savings, suggesting potential annual national savings of €75-€86 million and a surplus of more than 8200 QALYs. Realised value depends on licence pricing, scalable integration, minimal human touchpoints for engagement and safety, and the transferability of trial effects to streamlined delivery models.

Identifiers

PMID42527580
PMCPMC13354145

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.