ArticleInternational journal of environmental research and public health2020
Multiple Sclerosis in the Campania Region (South Italy): Algorithm Validation and 2015-2017 Prevalence.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Methods of estimating prevalence of multiple sclerosis in six European healthcare data sources: a contribution from the ConcePTION project.European journal of epidemiology · 2026Article
- Neural networks to estimate multiple sclerosis disability and predict progression using routinely collected healthcare data.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Article
- Identifying multiple sclerosis in women of childbearing age in six European countries: a contribution from the ConcePTION project.European journal of epidemiology · 2025Article
- Utilization of Ocrelizumab within Different Treatment Strategies for Multiple Sclerosis: A 5-Year Population-Based Study.Neurology international · 2024Article
- Impact of COVID-19 and system recovery in delivering healthcare to people with multiple sclerosis: a population-based Study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023Article
- Performance of administrative databases for identifying individuals with multiple sclerosis.Scientific reports · 2023Article
- Persistence, adherence, healthcare resource utilization and costs for ocrelizumab in the real-world of the Campania Region of Italy.Journal of neurology · 2022Article
- Kidney Replacement Treatment in South-Western Italy (Campania): Population-Based Study on Gender and Residence Inequalities in Health Care Access.Journal of clinical medicine · 2021Article
- Article
- Prevalence of SARS-CoV-2 Antibodies in Multiple Sclerosis: The Hidden Part of the Iceberg.Journal of clinical medicine · 2020Article
- COVID-19 prevention and multiple sclerosis management: The SAFE pathway for the post-peak.Multiple sclerosis and related disorders · 2020Article
- Persistence, adherence, healthcare resource utilisation and costs for interferon Beta in multiple sclerosis: a population-based study in the Campania region (southern Italy).BMC health services research · 2020Article
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11 authors.
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Abstract
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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