Supportive Care Organization in France: a national in-depth survey among patients and oncologists.

PURPOSE: Medical doctors' (MDs), but not patients', perception of supportive care in cancer (SCC) in France has been previously assessed in a national survey. This study evaluated MDs and patients' perceptions of the SCC organization and implementation in France. METHODS: The French SCC Association conducted two observational studies: study 1 (S1), containing a 30-point questionnaire sent to 2263 MDs, and study 2 (S2), containing a 40-point questionnaire sent to 2000 patients. RESULTS: Overall, 711 MDs completed S1 and 1562 patients completed S2. In S1, 81% of MDs reported relying on a SCC organization and 76% attended SCC multidisciplinary discussions. MDs considered palliative (98%), psychological (98%), and social care (98%) as the top 3 SCC areas of importance for patients. In contrast, patients' priorities were psychology (61%), nutrition (55%) and organization of intake consultations (55%). The concept of SCC was familiar to 34% of patients; according to MDs, this concept was introduced mainly by MDs (78%) and admission nurses (41%). Outpatients identified as professional resources for SCC information general practitioners (84%), nurses (58%), and pharmacists (52%). Patients reported supportive treatment being prescribed in 63% of cases, with 64% receiving information on the negative side-effects. Among MDs, 87% reported proposing palliative and 41% adjuvant SCC treatment. Furthermore, 72% of MDs recommended SCC treatment at the metastatic stage, and 36% immediately following diagnosis. DISCUSSION: Oncologists play a vital role in enhancing SCC efficacy. This can be increased by implementing a multidisciplinary integrated approach or by assuring the availability of patient information.

Design of an Ontology-Based Triage System for Patients with Chronic Pain.

OBJECTIVE: Waiting time for a consultation for chronic pain is a widespread health problem. This paper presents the design of an ontology use to assess patients referred to a consultation for chronic pain. METHODS: We designed OntoDol, an ontology of pain domain for patient triage based on priority degrees. Terms were extracted from clinical practice guidelines and mapped to SNOMED-CT concepts through the Python module Owlready2. Selected SNOMED-CT concepts, relationships, and the TIME ontology, were implemented in the ontology using Protégé. Decision rules were implemented with SWRL. We evaluated OntoDol on 5 virtual cases. RESULTS: OntoDol contains 762 classes, 92 object properties and 18 SWRL rules to assign patients to 4 categories of priority. OntoDol was able to assert every case and classify them in the right category of priority. CONCLUSION: Further works will extend OntoDol to other diseases and assess OntoDol with real world data from the hospital.