Factors influencing access to specialised haematology units during acute myeloblastic leukaemia patient care: A population‐based study in France

Author:

Atsou Kueshivi Midodji12ORCID,Rachet Bernard3ORCID,Cornet Edouard4ORCID,Chretien Marie‐Lorraine125ORCID,Rossi Cédric125ORCID,Remontet Laurent67ORCID,Roche Laurent67ORCID,Giorgi Roch8ORCID,Gauthier Sophie12,Girard Stéphanie12,Böckle Johann12,Wasse Stéphane Kroudia12,Rachou Helene910,Bouzid Laila910,Poncet Jean‐Marc4,Orazio Sébastien910ORCID,Monnereau Alain910,Troussard Xavier4ORCID,Mounier Morgane12,Maynadie Marc12ORCID

Affiliation:

1. Registre des Hémopathies Malignes de la Côte‐d'Or CHU de Dijon Bourgogne Dijon France

2. UMR INSERM 1231 Université Bourgogne Franche‐Comté Dijon France

3. Inequalities in Cancer Outcomes Network, Department of Non‐communicable Disease Epidemiology, Faculty of Epidemiology and Population Health London School of Hygiene & Tropical Medicine London UK

4. Registre régional des hémopathies malignes de Basse‐Normandie CHU Caen‐Normandie Caen France

5. CHU Dijon Bourgogne Service d'Hématologie Clinique Dijon France

6. Pôle Santé Publique, Service de Biostatistique ‐ Bio‐informatique Hospices Civils de Lyon Lyon France

7. UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique‐Santé Université de Lyon, Université Lyon 1, CNRS Villeurbanne France

8. SESSTIM, Sciences Économiques & Sociales de la Santé & Traitement de l'Information Médicale, ISSPAM, Hop Timone, BioSTIC, Biostatistique et Technologies de l'Information et de la, Communication Aix Marseille Univ, APHM, INSERM, IRD Marseille France

9. Registre des Hémopathies Malignes de Gironde Institut Bergonié Bordeaux France

10. EPICENE Team, Inserm U1219, Bordeaux Population Health University of Bordeaux Bordeaux France

Abstract

AbstractBackgroundThe excess mortality observed in Acute Myeloblastic Leukaemia (AML) patients, partly attributed to unequal access to curative treatments, could be linked to care pathways.MethodsWe included 1039 AML incident cases diagnosed between 2012–2016 from the 3 French blood cancer registries (3,625,400 inhabitants). We describe patients according to age, the medical entry unit and access to the specialised haematology unit (SHU) during follow‐up. Multivariate logistic regression model was done to determine the association between covariables and access to SHU. A total of 713 patients (69%) had access to SHU during care.ResultsThe most common care pathway concerned referral from the general practitioner to SHU, n = 459(44%). The univariate analysis observed a downward trend for the most deprived patients. Patients who consulted in SHU were younger (66 years vs. 83, p < 0.001), and 92% had access to cytogenetic analysis (vs. 54%, p < 0.001). They also had less poor prognosis AML‐subtypes (AML‐MRC, t‐AML/MDS and AML‐NOS) (38% vs. 69%); 77% with de novo AML (vs. 67%, p < 0.003)], more favourable cytogenetic prognostic status (23% vs. 6%, p < 0.001), less comorbidities (no comorbidity = 55% vs. 34%, p < 0.001) and treatments proposed were curative 68% (vs. 5.3%, p < 0.001). Factors limiting access to SHU were age over 80 years (OR, 0.14; 95% CI, 0.04–0.38), severe comorbidities (OR, 0.39; 95% CI, 0.21–0.69), emergency unit referral (OR, 0.28; 95% CI, 0.18–0.44) and non‐SHU referral (OR, 0.12; 95% CI, 0.07–0.18). Consultation in an academic hospital increased access to SHU by 8.87 times (95% CI, 5.64–14.2).ConclusionThe high proportion of access to cytogenetic testing and curative treatment among patients admitted to SHU, and the importance of early treatment in AML underlines the importance of access to SHU for both diagnosis and treatment.

Funder

European Regional Development Fund

Institut National Du Cancer

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

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