Evidence map›Paper›PMID 39383175›Full record

Trial reportPLoS medicine2024

Cost-effectiveness of a patient-reported outcome-based remote monitoring and alert intervention for early detection of critical recovery after joint replacement: A randomised controlled trial.

Lukas Schöner, David Kuklinski, Laura Wittich, Viktoria Steinbeck, Benedikt Langenberger, Thorben Breitkreuz, Felix Compes, Mathias Kretzler, Ursula Marschall, Wolfgang Klauser and 8 more

Abstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in PLoS medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

18 authors.

Lukas SchönerDepartment of Health Care Management, Technische Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0003-0881-2145
David KuklinskiChair of Health Economics, Policy and Management, School of Medicine, University of St. Gallen, St. Gallen Switzerland.ORCID https://orcid.org/0000-0002-7092-7480
Laura WittichDepartment of Health Care Management, Technische Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0009-0009-2902-8932
Viktoria SteinbeckDepartment of Health Care Management, Technische Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0003-2950-9057
Benedikt LangenbergerDepartment of Health Care Management, Technische Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-0825-0464
Thorben BreitkreuzaQua-Institut, Göttingen, Germany.ORCID https://orcid.org/0000-0002-5700-4729
Felix CompesHeartbeat Medical Solutions GmbH, Cologne, Germany.ORCID https://orcid.org/0009-0001-2495-3530
Mathias KretzlerBKK Dachverband e.V., Berlin, Germany.ORCID https://orcid.org/0009-0003-0511-7208
Ursula MarschallBARMER Institut für Gesundheitsforschung, Wuppertal, Germany.
Wolfgang KlauserVAMED Ostseeklinik Damp, Damp, Germany.
Mustafa CitakHelios ENDO-Klinik, Hamburg, Germany.
Georg MatziolisUniversity Hospital Jena, Campus Eisenberg, Germany.ORCID https://orcid.org/0000-0002-5105-5875
Daniel SchrednitzkiSana Kliniken Sommerfeld, Kremmen, Germany.ORCID https://orcid.org/0000-0003-2696-1769
Kim GrasböckRoMed Klinik, Prien am Chiemsee, Germany.ORCID https://orcid.org/0009-0004-4459-4629
Justus VogelChair of Health Economics, Policy and Management, School of Medicine, University of St. Gallen, St. Gallen Switzerland.ORCID https://orcid.org/0000-0002-2605-8994
Christoph ProssDepartment of Health Care Management, Technische Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-9973-3981
Reinhard BusseDepartment of Health Care Management, Technische Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0003-4961-9130
Alexander GeisslerChair of Health Economics, Policy and Management, School of Medicine, University of St. Gallen, St. Gallen Switzerland.ORCID https://orcid.org/0000-0002-7445-2929

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile the effectiveness of patient-reported outcome measures (PROMs) as an intervention to impact patient pathways has been established for cancer care, it is unknown for other indications. We assessed the cost-effectiveness of a PROM-based monitoring and alert intervention for early detection of critical recovery paths following hip and knee replacement. METHODS AND

findingsThe cost-effectiveness analysis (CEA) is based on a multicentre randomised controlled trial encompassing 3,697 patients with hip replacement and 3,110 patients with knee replacement enrolled from 2019 to 2020 in 9 German hospitals. The analysis was conducted with a subset of 546 hip and 492 knee replacement cases with longitudinal cost data from 24 statutory health insurances. Patients were randomised 1:1 to a PROM-based remote monitoring and alert intervention or to a standard care group. All patients were assessed at 12-months post-surgery via digitally collected PROMs. Patients within the intervention group were additionally assessed at 1-, 3-, and 6-months post-surgery to be contacted in case of critical recovery paths. For the effect evaluation, a PROM-based composite measure (PRO-CM) was developed, combining changes across various PROMs in a single index ranging from 0 to 100. The PRO-CM included 6 PROMs focused on quality of life and various aspects of physical and mental health. The primary outcome was the incremental cost-effectiveness ratio (ICER). The intervention group showed incremental outcomes of 2.54 units PRO-CM (95% confidence interval (CI) [0.93, 4.14]; p = 0.002) for patients with hip and 0.87 (95% CI [-0.94, 2.67]; p = 0.347) for patients with knee replacement. Within the 12-months post-surgery period the intervention group had less costs of 376.43€ (95% CI [-639.74, -113.12]; p = 0.005) in patients with hip, and 375.50€ (95% CI [-767.40, 16.39]; p = 0.060) in patients with knee replacement, revealing a dominant ICER for both procedures. However, it remains unclear which step of the multistage intervention contributes most to the positive effect.

conclusionsThe intervention significantly improved patient outcomes at lower costs in patients with hip replacements when compared with standard care. Further it showed a nonsignificant cost reduction in knee replacement patients. This reinforces the notion that PROMs can be utilised as a cost-effective instrument for remote monitoring in standard care settings.

trial registrationRegistration: German Register for Clinical Studies (DRKS) under DRKS00019916.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeCost-Benefit AnalysisPatient Reported Outcome MeasuresAgedEarly DiagnosisFemaleGermanyHumansMaleMiddle AgedQuality of LifeRecovery of Function

Identifiers

PMID39383175
PMCPMC11463742

What Socratic 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 Socratic graph.