The black box of the relationship between breast cancer patients and accompanying patients: the accompanied patients’ point of view
Pomey M, Iliescu Nelea M, Vialaron C, Normandin L, Côté M, Desforges M, Pomey-Carpentier P, Adjtoutah N, Fortin I, Ganache I, Régis C, Rosberger Z, Charpentier D, Bélanger L, Dorval M, Ghadiri D, Lavoie-Tremblay M, Boivin A, Pelletier J, Fernandez N, Danino A, de Guise M. The black box of the relationship between breast cancer patients and accompanying patients: the accompanied patients’ point of view. BMC Cancer 2024, 24: 822. PMID: 38987731, PMCID: PMC11234724, DOI: 10.1186/s12885-024-12585-z.Peer-Reviewed Original ResearchConceptsSemi-structured interviewsCare trajectoryClinical teamBreast cancer patientsCare trajectory of peopleMethodsA qualitative studyEmotional well-beingQuality of lifeEnhance overall qualityCancer patientsResultsThree themesHealth professionalsPatient experienceHealthcare professionalsProvince of QuebecPatient communicationPatients' perceptionsEmotional reassuranceThematic analysisHealthcare systemUniversity Medical CenterQualitative studyPatient's pointTrajectories of peopleReduce anxietyPredicting the Population Risk of Suicide Using Routinely Collected Health Administrative Data in Quebec, Canada: Model-Based Synthetic Estimation Study
Wang J, Kharrat F, Gariépy G, Gagné C, Pelletier J, Massamba V, Lévesque P, Mohammed M, Lesage A. Predicting the Population Risk of Suicide Using Routinely Collected Health Administrative Data in Quebec, Canada: Model-Based Synthetic Estimation Study. JMIR Public Health And Surveillance 2024, 10: e52773. PMID: 38941610, PMCID: PMC11245657, DOI: 10.2196/52773.Peer-Reviewed Original ResearchConceptsHealth administrative dataCommunity-level predictorsRisk prediction modelHealth care systemPopulation riskAdministrative dataHigh-risk regionsHealth systemCare systemIndividual's risk of suicideApplication of risk prediction modelsPopulation health planningHealth administrative databasesSignificant public health issueCase-control study designCommunity-level variablesRisk prediction toolsPublic health issueRisk of suicideSex-specific modelsProportion of suicidesIndividual-level predictorsAdministrative databasesHealth plansSuicide prevention