Counterfactual approach with survival or time to event outcomes: An application to an exhaustive cohort of Epithelial Ovarian Carcinoma in the Rhône-Alps region of France

Marius Huguet (), Lionel Perrier, Olivia Bally, Xavier Joutard (), Nathalie Havet (), Fadila Farsi, David Benayoun, Pierre de Saint Hilaire, Dominique Beal Ardisson, Magali Morelle () and Isabelle Ray-Coquard ()
Additional contact information
Marius Huguet: UL2 - Université Lumière - Lyon 2
Olivia Bally: Centre Léon Bérard [Lyon]
Xavier Joutard: GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique
Fadila Farsi: Réseau Espace Santé Cancer, Rhône-Alpes
David Benayoun: Department of Radiation Oncology, Centre Hospitalier Universitaire Lyon Sud, Pierre Benite, France - HCL - Hospices Civils de Lyon
Pierre de Saint Hilaire: Hopital universitaire de Lyon - Hôpital Universitaire de Lyon
Dominique Beal Ardisson: Hôpital privé Jean Mermoz [Lyon]
Magali Morelle: Centre Léon Bérard [Lyon]
Isabelle Ray-Coquard: Service d'Oncologie Médicale - Centre Léon Bérard [Lyon]

Working Papers from HAL

Abstract: Epithelial Ovarian Carcinoma (EOC) is a disease with poor prognosis, most often diagnosed at an advanced stage, thus necessitating aggres sive and complex surgery. The aim of this study was to compare Progression Free Survival (PFS) at 1st line treatment of EOC patients treated in high vs low-volume hospitals. This retrospective study using prospectively implemented databases was conducted o n an exhaustive cohort of 267 patients treated in first line during 2012 in the Rhone-Alps Region of France. In order to control for selection bias, a multivariate analysis and the Inverse Probability Weighting (IPW) using the propensity score were adopted. An Adjusted Kaplan Meier Estimator (AKME) and a univariate Cox model in the weighted sample were then applied in order to determine the impact of the centralization of care on EOC. Patients treated in lower volume hospitals had a probability of relapse (including death) that was 1.5 times higher than for patients treated in higher volume hospitals (p=0.02). As reported in other countries, the concentration of care for EOC has a significant positive impact on patient outcomes .

Keywords: T Counterfactual; Disease management programme; France; Epithelial Ovarian Cancer; Propensity score; Centralization of care (search for similar items in EconPapers)
Date: 2016
New Economics Papers: this item is included in nep-hea
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Working Paper: Counterfactual approach with survival or time to event outcomes: An application to an exhaustive cohort of Epithelial Ovarian Carcinoma in the Rhône-Alps region of France (2016)
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