TY - JOUR
T1 - Prevalence of multiple sclerosis in the Lazio region, Italy: use of an algorithm based on health information systems
AU - Mirabella, Massimiliano
AU - Nociti, Viviana
AU - Bargagli, Anna Maria
AU - Colais, Paola
AU - Agabiti, Nera
AU - Mayer, Flavia
AU - Buttari, Fabio
AU - Centonze, Diego
AU - Di Folco, Marta
AU - Filippini, Graziella
AU - Francia, Ada
AU - Galgani, Simonetta
AU - Gasperini, Claudio
AU - Giuliani, Manuela
AU - Pozzilli, Carlo
AU - Davoli, Marina
PY - 2016
Y1 - 2016
N2 - Compared with other areas of the country, very limited data are available on multiple sclerosis (MS) prevalence in Central Italy. We aimed to estimate MS prevalence in the Lazio region and its geographical distribution using regional health information systems (HIS). To identify MS cases we used data from drug prescription, hospital discharge and ticket exemption registries. Crude, age- and gender-specific prevalence estimates on December 31, 2011 were calculated. To compare MS prevalence between different areas within the region, we calculated age- and gender-adjusted prevalence and prevalence ratios using a multivariate Poisson regression model. Crude prevalence rate was 130.5/100,000 (95 % CI 127.5-133.5): 89.7/100,000 for males and 167.9/100,000 for females. The overall prevalence rate standardized to the European Standard Population was 119.6/100,000 (95 % CI 116.8-122.4). We observed significant differences in MS prevalence within the region, with estimates ranging from 96.3 (95 % CI 86.4-107.3) for Latina to 169.6 (95 % CI 147.6-194.9) for Rieti. Most districts close to the coast showed lower prevalence estimates compared to those situated in the eastern mountainous area of the region. In conclusion, this study produced a MS prevalence estimate at regional level using population-based health administrative databases. Our results showed the Lazio region is a high-risk area for MS, although with an uneven geographical distribution. While some limitations must be considered including possible prevalence underestimation, HIS represent a valuable source of information to measure the burden of SM, useful for epidemiological surveillance and healthcare planning.
AB - Compared with other areas of the country, very limited data are available on multiple sclerosis (MS) prevalence in Central Italy. We aimed to estimate MS prevalence in the Lazio region and its geographical distribution using regional health information systems (HIS). To identify MS cases we used data from drug prescription, hospital discharge and ticket exemption registries. Crude, age- and gender-specific prevalence estimates on December 31, 2011 were calculated. To compare MS prevalence between different areas within the region, we calculated age- and gender-adjusted prevalence and prevalence ratios using a multivariate Poisson regression model. Crude prevalence rate was 130.5/100,000 (95 % CI 127.5-133.5): 89.7/100,000 for males and 167.9/100,000 for females. The overall prevalence rate standardized to the European Standard Population was 119.6/100,000 (95 % CI 116.8-122.4). We observed significant differences in MS prevalence within the region, with estimates ranging from 96.3 (95 % CI 86.4-107.3) for Latina to 169.6 (95 % CI 147.6-194.9) for Rieti. Most districts close to the coast showed lower prevalence estimates compared to those situated in the eastern mountainous area of the region. In conclusion, this study produced a MS prevalence estimate at regional level using population-based health administrative databases. Our results showed the Lazio region is a high-risk area for MS, although with an uneven geographical distribution. While some limitations must be considered including possible prevalence underestimation, HIS represent a valuable source of information to measure the burden of SM, useful for epidemiological surveillance and healthcare planning.
KW - Epidemiology
KW - Health administrative data
KW - Health information systems
KW - Multiple sclerosis
KW - Prevalence
KW - Epidemiology
KW - Health administrative data
KW - Health information systems
KW - Multiple sclerosis
KW - Prevalence
UR - http://hdl.handle.net/10807/77786
U2 - 10.1007/s00415-016-8049-8
DO - 10.1007/s00415-016-8049-8
M3 - Article
VL - 263
SP - 751-9-759
JO - Journal of Neurology
JF - Journal of Neurology
SN - 0340-5354
ER -