Comparing quality of breast cancer care in the Netherlands and Norway by federated propensity score analytics.


Journal

Breast cancer research and treatment
ISSN: 1573-7217
Titre abrégé: Breast Cancer Res Treat
Pays: Netherlands
ID NLM: 8111104

Informations de publication

Date de publication:
Sep 2023
Historique:
received: 02 01 2023
accepted: 24 05 2023
medline: 23 10 2023
pubmed: 25 6 2023
entrez: 24 6 2023
Statut: ppublish

Résumé

The aim of the study was to benchmark and compare breast cancer care quality indicators (QIs) between Norway and the Netherlands using federated analytics preventing transfer of patient-level data. Breast cancer patients (2017-2018) were retrieved from the Netherlands Cancer Registry and the Cancer Registry of Norway. Five European Society of Breast Cancer Specialists (EUSOMA) QIs were assessed: two on magnetic resonance imaging (MRI), two on surgical approaches, and one on postoperative radiotherapy. The QI outcomes were calculated using 'Vantage 6' federated Propensity Score Stratification (PSS). Likelihood of receiving a treatment was expressed in odds ratios (OR). In total, 39,163 patients were included (32,786 from the Netherlands and 6377 from Norway). PSS scores were comparable to the crude outcomes of the QIs. The Netherlands scored higher on the QI 'proportions of patients preoperatively examined with breast MRI' [37% vs.17.5%; OR 2.8 (95% CI 2.7-2.9)], the 'proportions of patients receiving primary systemic therapy examined with breast MRI' [83.3% vs. 70.8%; OR 2.3 (95% CI 1.3-3.3)], and 'proportion of patients receiving a single breast operation' [95.2% vs. 91.5%; OR 1.8 (95% CI 1.4-2.2)]. Country scores for 'immediate breast reconstruction' and 'postoperative radiotherapy after breast-conserving surgery' were comparable. The EUSOMA standard was achieved in both countries for 4/5 indicators. Both countries achieved high scores on the QIs. Differences were observed in the use of MRI and proportion of patients receiving single surgery. The federated approach supports future possibilities on benchmark QIs without transfer of privacy-sensitive data.

Identifiants

pubmed: 37355527
doi: 10.1007/s10549-023-06986-0
pii: 10.1007/s10549-023-06986-0
pmc: PMC10361850
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

247-256

Informations de copyright

© 2023. The Author(s).

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Auteurs

Dave T Hamersma (DT)

Faculty Science & Technology, Health Sciences, University of Twente, Enschede, The Netherlands.

Kay Schreuder (K)

Netherlands Comprehensive Cancer Organization (IKNL), Utrecht/Eindhoven/Enschede, The Netherlands.

Gijs Geleijnse (G)

Netherlands Comprehensive Cancer Organization (IKNL), Utrecht/Eindhoven/Enschede, The Netherlands.

Erik Heeg (E)

Netherlands Comprehensive Cancer Organization (IKNL), Utrecht/Eindhoven/Enschede, The Netherlands.
Department of Plastic & Reconstructive Surgery, Amsterdam University Medical Center, Amsterdam, The Netherlands.

Matteo Cellamare (M)

Netherlands Comprehensive Cancer Organization (IKNL), Utrecht/Eindhoven/Enschede, The Netherlands.

Marc B I Lobbes (MBI)

Department of Medical Imaging, Zuyderland Medical Center, Sittard-Geleen, The Netherlands.
Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.

Marc A M Mureau (MAM)

Department of Plastic & Reconstructive Surgery, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.

Linetta B Koppert (LB)

Department of Surgical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.

Helle Skjerven (H)

Section for Breast and Endocrine Surgery Department, Vestre Viken Hospital Trust, Drammen, Norway.
Department of Registry Informatics, Cancer Registry of Norway, Oslo, Norway.

Jan F Nygård (JF)

Department of Registry Informatics, Cancer Registry of Norway, Oslo, Norway.
Machine Learning Group, The Arctic University of Norway, Tromsø, Norway.

Catharina G M Groothuis-Oudshoorn (CGM)

Faculty Science & Technology, Health Sciences, University of Twente, Enschede, The Netherlands.

Sabine Siesling (S)

Faculty Science & Technology, Health Sciences, University of Twente, Enschede, The Netherlands. s.siesling@utwente.nl.
Netherlands Comprehensive Cancer Organization (IKNL), Utrecht/Eindhoven/Enschede, The Netherlands. s.siesling@utwente.nl.
Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Hallenweg 5, 7522 NH, Enschede, The Netherlands. s.siesling@utwente.nl.

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