Clustering of prostate cancer healthcare pathways in the French National Healthcare database - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Cancer Innovation Année : 2023

Clustering of prostate cancer healthcare pathways in the French National Healthcare database

Résumé

Background: Healthcare pathways of patients with prostate cancer are heterogeneous and complex to apprehend using traditional descriptive statistics. Clustering and visualization methods can enhance their characterization. Methods: Patients with prostate cancer in 2014 were identified in the French National Healthcare database (Système National des Données de Santé-SNDS) and their data were extracted with up to 5 years of history and 4 years of follow-up. Fifty-one-specific encounters constitutive of prostate cancer management were synthesized into four macro-variables using a clustering approach. Their values over patient follow-ups constituted healthcare pathways. Optimal matching was applied to calculate distances between pathways. Partitioning around medoids was then used to define consistent groups across four exclusive cohorts of incident prostate cancer patients: Hormone-sensitive (HSPC), metastatic hormone-sensitive (mHSPC), castration-resistant (CRPC), and metastatic castration-resistant (mCRPC). Index plots were used to represent pathways clusters. Results: The repartition of macro-variables values-surveillance, local treatment, androgenic deprivation, and advanced treatment-appeared to be consistent with prostate cancer status. Two to five clusters of healthcare pathways were observed in each of the different cohorts, corresponding for most of them to relevant clinical patterns, although some heterogeneity remained. For instance, clustering allowed to distinguish patients undergoing
Fichier principal
Vignette du fichier
Cancer Innovation - 2023 - Baulain - Clustering of prostate cancer healthcare pathways in the French National Healthcare.pdf (3.03 Mo) Télécharger le fichier
Origine : Publication financée par une institution
Licence : CC BY NC - Paternité - Pas d'utilisation commerciale

Dates et versions

hal-03988556 , version 1 (14-02-2023)

Identifiants

Citer

Roméo Baulain, Jérémy Jové, Dunia Sakr, Marine Gross‐goupil, Magali Rouyer, et al.. Clustering of prostate cancer healthcare pathways in the French National Healthcare database. Cancer Innovation, 2023, ⟨10.1002/cai2.42⟩. ⟨hal-03988556⟩
19 Consultations
8 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More