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Healthcare migration in Italian paediatric haematology-oncology centres belonging to AIEOP
Roberto Rondelli1, Tamara Belotti2, Riccardo Masetti2
1Pediatric Oncology and Hematology Unit "Lalla Seràgnoli, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy. roberto.rondelli@aosp.bo.it.
Insights
Patient migration to pediatric cancer centers in Italy is common, particularly in the South. While survival rates are lower for these pediatric cancer patients, improved coordination could reduce unnecessary travel.
Area of Science:
- Pediatric Oncology
- Health Services Research
- Cancer Epidemiology
Background:
- Italy has a national network of pediatric cancer centers coordinated by the Italian Association of Pediatric Hematology and Oncology (AIEOP).
- Patient migration between regions for cancer treatment is a notable phenomenon in Italy.
- Understanding migration patterns is crucial for assessing the optimal distribution of pediatric cancer care services.
Purpose of the Study:
- To evaluate the extent and patterns of domestic patient migration within the Italian Association of Pediatric Hematology and Oncology (AIEOP) network.
- To analyze the impact of this migration on the distribution of pediatric cancer cases across Italian regions.
- To identify factors contributing to patient migration for childhood cancer treatment.
Main Methods:
- Analysis of 41,205 pediatric cancer cases (age <20 years) diagnosed between 1988 and 2017 from the AIEOP Mod.1.01 Registry.
- Statistical comparison of patient characteristics using chi-squared, Fisher's exact, and Mann-Whitney tests.
- Kaplan-Meier survival analysis and log-rank tests to compare survival between migrant and non-migrant groups.
Main Results:
- Extra-regional migration affected 19.5% of pediatric cancer cases, decreasing over time (23.3% to 16.4%).
- Migration rates for leukemias/lymphomas were higher in the South & Isles (32.3%) compared to the North (1.2%) and Centre (7.8%).
- Solid tumor migration was 59.6% in the South & Isles, 17.2% in the Centre, and 4.2% in the North.
- Ten-year overall survival was lower for migrants (69.9%) versus non-migrants (78.3%).
Conclusions:
- Domestic migration for pediatric cancer care persists in Italy, driven by specialization needs, lack of local facilities, or absence of centers.
- Migration rates vary significantly by geographic region and cancer type.
- Enhanced coordination among AIEOP centers is recommended to reduce avoidable migration, requiring technical and political collaboration.
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.
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