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Multiple Sclerosis in the Campania Region (South Italy): Algorithm Validation and 2015–2017 Prevalence

We aim to validate a case-finding algorithm to detect individuals with multiple sclerosis (MS) using routinely collected healthcare data, and to assess the prevalence of MS in the Campania Region (South Italy). To identify individuals with MS living in the Campania Region, we employed an algorithm u...

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Autores principales: Moccia, Marcello, Brescia Morra, Vincenzo, Lanzillo, Roberta, Loperto, Ilaria, Giordana, Roberta, Fumo, Maria Grazia, Petruzzo, Martina, Capasso, Nicola, Triassi, Maria, Sormani, Maria Pia, Palladino, Raffaele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277756/
https://www.ncbi.nlm.nih.gov/pubmed/32414017
http://dx.doi.org/10.3390/ijerph17103388
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author Moccia, Marcello
Brescia Morra, Vincenzo
Lanzillo, Roberta
Loperto, Ilaria
Giordana, Roberta
Fumo, Maria Grazia
Petruzzo, Martina
Capasso, Nicola
Triassi, Maria
Sormani, Maria Pia
Palladino, Raffaele
author_facet Moccia, Marcello
Brescia Morra, Vincenzo
Lanzillo, Roberta
Loperto, Ilaria
Giordana, Roberta
Fumo, Maria Grazia
Petruzzo, Martina
Capasso, Nicola
Triassi, Maria
Sormani, Maria Pia
Palladino, Raffaele
author_sort Moccia, Marcello
collection PubMed
description We aim to validate a case-finding algorithm to detect individuals with multiple sclerosis (MS) using routinely collected healthcare data, and to assess the prevalence of MS in the Campania Region (South Italy). To identify individuals with MS living in the Campania Region, we employed an algorithm using different routinely collected healthcare administrative databases (hospital discharges, drug prescriptions, outpatient consultations with payment exemptions), from 1 January 2015 to 31 December 2017. The algorithm was validated towards the clinical registry from the largest regional MS centre (n = 1460). We used the direct method to standardise the prevalence rate and the capture-recapture method to estimate the proportion of undetected cases. The case-finding algorithm including individuals with at least one MS record during the study period captured 5362 MS patients (females = 64.4%; age = 44.6 ± 12.9 years), with 99.0% sensitivity (95% CI = 98.3%, 99.4%). Standardised prevalence rate per 100,000 people was 89.8 (95% CI = 87.4, 92.2) (111.8 for females [95% CI = 108.1, 115.6] and 66.2 for males [95% CI = 63.2, 69.2]). The number of expected MS cases was 2.7% higher than cases we detected. We developed a case-finding algorithm for MS using routinely collected healthcare data from the Campania Region, which was validated towards a clinical dataset, with high sensitivity and low proportion of undetected cases. Our prevalence estimates are in line with those reported by international studies conducted using similar methods. In the future, this cohort could be used for studies with high granularity of clinical, environmental, healthcare resource utilisation, and pharmacoeconomic variables.
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spelling pubmed-72777562020-06-12 Multiple Sclerosis in the Campania Region (South Italy): Algorithm Validation and 2015–2017 Prevalence Moccia, Marcello Brescia Morra, Vincenzo Lanzillo, Roberta Loperto, Ilaria Giordana, Roberta Fumo, Maria Grazia Petruzzo, Martina Capasso, Nicola Triassi, Maria Sormani, Maria Pia Palladino, Raffaele Int J Environ Res Public Health Article We aim to validate a case-finding algorithm to detect individuals with multiple sclerosis (MS) using routinely collected healthcare data, and to assess the prevalence of MS in the Campania Region (South Italy). To identify individuals with MS living in the Campania Region, we employed an algorithm using different routinely collected healthcare administrative databases (hospital discharges, drug prescriptions, outpatient consultations with payment exemptions), from 1 January 2015 to 31 December 2017. The algorithm was validated towards the clinical registry from the largest regional MS centre (n = 1460). We used the direct method to standardise the prevalence rate and the capture-recapture method to estimate the proportion of undetected cases. The case-finding algorithm including individuals with at least one MS record during the study period captured 5362 MS patients (females = 64.4%; age = 44.6 ± 12.9 years), with 99.0% sensitivity (95% CI = 98.3%, 99.4%). Standardised prevalence rate per 100,000 people was 89.8 (95% CI = 87.4, 92.2) (111.8 for females [95% CI = 108.1, 115.6] and 66.2 for males [95% CI = 63.2, 69.2]). The number of expected MS cases was 2.7% higher than cases we detected. We developed a case-finding algorithm for MS using routinely collected healthcare data from the Campania Region, which was validated towards a clinical dataset, with high sensitivity and low proportion of undetected cases. Our prevalence estimates are in line with those reported by international studies conducted using similar methods. In the future, this cohort could be used for studies with high granularity of clinical, environmental, healthcare resource utilisation, and pharmacoeconomic variables. MDPI 2020-05-13 2020-05 /pmc/articles/PMC7277756/ /pubmed/32414017 http://dx.doi.org/10.3390/ijerph17103388 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Moccia, Marcello
Brescia Morra, Vincenzo
Lanzillo, Roberta
Loperto, Ilaria
Giordana, Roberta
Fumo, Maria Grazia
Petruzzo, Martina
Capasso, Nicola
Triassi, Maria
Sormani, Maria Pia
Palladino, Raffaele
Multiple Sclerosis in the Campania Region (South Italy): Algorithm Validation and 2015–2017 Prevalence
title Multiple Sclerosis in the Campania Region (South Italy): Algorithm Validation and 2015–2017 Prevalence
title_full Multiple Sclerosis in the Campania Region (South Italy): Algorithm Validation and 2015–2017 Prevalence
title_fullStr Multiple Sclerosis in the Campania Region (South Italy): Algorithm Validation and 2015–2017 Prevalence
title_full_unstemmed Multiple Sclerosis in the Campania Region (South Italy): Algorithm Validation and 2015–2017 Prevalence
title_short Multiple Sclerosis in the Campania Region (South Italy): Algorithm Validation and 2015–2017 Prevalence
title_sort multiple sclerosis in the campania region (south italy): algorithm validation and 2015–2017 prevalence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277756/
https://www.ncbi.nlm.nih.gov/pubmed/32414017
http://dx.doi.org/10.3390/ijerph17103388
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