Healthcare migration in Italian paediatric haematology-oncology centres belonging to AIEOP

Author:

Rondelli RobertoORCID,Belotti Tamara,Masetti Riccardo,Locatelli Franco,Massimino Maura,Biffi Alessandra,Dufour Carlo,Fagioli Franca,Menna Giuseppe,Biondi Andrea,Favre Claudio,Zecca Marco,Santoro Nicola,Russo Giovanna,Perrotta Silverio,Pession Andrea,Prete Arcangelo

Abstract

Abstract Background In Italy, there is a network of centres headed by the Italian Association of Pediatric Hematology and Oncology (AIEOP) for the diagnosis and treatment of paediatric cancers on almost the entire national territory. Nevertheless, migration of patients in a hospital located in a region different from that of residence is a widespread habit, sometimes motivated by several reasons. The aim of this paper is to assess the impact of migration of children with cancer to AIEOP centres in order to verify their optimal distribution throughout the national territory. Methods To this purpose, we used information on 41,205 registered cancer cases in the database of Mod.1.01 Registry from AIEOP centres, with age of less than 20 years old at diagnosis, diagnosed from 1988 to 2017. Patients’ characteristics were analysed and compared using the X2 or Fisher’s exact test or Mann–Whitney test, when appropriate. Survival distributions were estimated using the method of Kaplan and Meier, and the log-rank test was used to examine differences among subgroups. Results Extra-regional migration involved overall 19.5% of cases, ranging from 23.3% (1988–1997) to 16.4% (2008–2017) (p < 0.001). In leukaemias and lymphomas we observed a mean migration of 8.8% overall, lower in the North (1.2%) and Centre (7.8%) compared to the South & Isles (32.3%). In the case of solid tumours, overall migration was 25.7%, with 4.2% in the North, 17.2% in the Centre and 59.6% in the South & Isles. For regions with overall levels of migration higher than the national average, most migration cases opted for AIEOP centres of close or even neighbouring regions. Overall survival at 10 years from diagnosis results 69.9% in migrants vs 78.3% in no migrants (p < 0.001). Conclusions There is still a certain amount of domestic migration, the causes of which can be easily identified: migration motivated by a search for high specialization, migration due to lack of local facilities, or regions in which no AIEOP centres are present, which makes migration obligatory. Better coordination between AIEOP centres could help to reduce so-called avoidable migration, but technical and political choices will have to be considered, with the active participation of sector technicians.

Publisher

Springer Science and Business Media LLC

Reference16 articles.

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