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.


Journal

PLoS medicine
ISSN: 1549-1676
Titre abrégé: PLoS Med
Pays: United States
ID NLM: 101231360

Informations de publication

Date de publication:
Oct 2024
Historique:
received: 08 12 2023
accepted: 14 08 2024
medline: 9 10 2024
pubmed: 9 10 2024
entrez: 9 10 2024
Statut: epublish

Résumé

While 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. The 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. The 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. Registration: German Register for Clinical Studies (DRKS) under DRKS00019916.

Sections du résumé

BACKGROUND BACKGROUND
While 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 FINDINGS RESULTS
The 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.
CONCLUSIONS CONCLUSIONS
The 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 REGISTRATION BACKGROUND
Registration: German Register for Clinical Studies (DRKS) under DRKS00019916.

Identifiants

pubmed: 39383175
doi: 10.1371/journal.pmed.1004459
pii: PMEDICINE-D-23-03623
doi:

Types de publication

Journal Article Randomized Controlled Trial Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1004459

Informations de copyright

Copyright: © 2024 Schöner et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The project was funded by the Innovation Fund of the of Joint Federal Committee Germany (01NVF18016). Project funding was paid to the consortium institutions and covered the employment positions of LS, VS, LW, BL and CP. CP reports a salaried position with MedTech company Stryker that is separate and independent from his university research employment and position. FC reports an employment relation with Heartbeat Medical Solutions GmBH. GM reports receiving royalties or contracts, grants, consulting fees, payments for lectures and leadership in other boards, all outside the submitted work. RB reports being member of the government commission on modern and needs-based hospital care, outside the submitted work. DS reports receiving payments for lectures from Zimmer Biomet outside the submitted work. All other authors declare no competing interests.

Auteurs

Lukas Schöner (L)

Department of Health Care Management, Technische Universität Berlin, Berlin, Germany.

David Kuklinski (D)

Chair of Health Economics, Policy and Management, School of Medicine, University of St. Gallen, St. Gallen Switzerland.

Laura Wittich (L)

Department of Health Care Management, Technische Universität Berlin, Berlin, Germany.

Viktoria Steinbeck (V)

Department of Health Care Management, Technische Universität Berlin, Berlin, Germany.

Benedikt Langenberger (B)

Department of Health Care Management, Technische Universität Berlin, Berlin, Germany.

Thorben Breitkreuz (T)

aQua-Institut, Göttingen, Germany.

Felix Compes (F)

Heartbeat Medical Solutions GmbH, Cologne, Germany.

Mathias Kretzler (M)

BKK Dachverband e.V., Berlin, Germany.

Ursula Marschall (U)

BARMER Institut für Gesundheitsforschung, Wuppertal, Germany.

Wolfgang Klauser (W)

VAMED Ostseeklinik Damp, Damp, Germany.

Mustafa Citak (M)

Helios ENDO-Klinik, Hamburg, Germany.

Georg Matziolis (G)

University Hospital Jena, Campus Eisenberg, Germany.

Daniel Schrednitzki (D)

Sana Kliniken Sommerfeld, Kremmen, Germany.

Kim Grasböck (K)

RoMed Klinik, Prien am Chiemsee, Germany.

Justus Vogel (J)

Chair of Health Economics, Policy and Management, School of Medicine, University of St. Gallen, St. Gallen Switzerland.

Christoph Pross (C)

Department of Health Care Management, Technische Universität Berlin, Berlin, Germany.

Reinhard Busse (R)

Department of Health Care Management, Technische Universität Berlin, Berlin, Germany.

Alexander Geissler (A)

Chair of Health Economics, Policy and Management, School of Medicine, University of St. Gallen, St. Gallen Switzerland.

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Classifications MeSH