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Data monitoring roadmap. The experience of the Italian Multiple Sclerosis and Related Disorders Register
INTRODUCTION: Over the years, disease registers have been increasingly considered a source of reliable and valuable population studies. However, the validity and reliability of data from registers may be limited by missing data, selection bias or data quality not adequately evaluated or checked. Thi...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264214/ https://www.ncbi.nlm.nih.gov/pubmed/37311951 http://dx.doi.org/10.1007/s10072-023-06876-9 |
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author | Mosconi, Paola Guerra, Tommaso Paletta, Pasquale D’Ettorre, Antonio Ponzio, Michela Battaglia, Mario Alberto Amato, Maria Pia Bergamaschi, Roberto Capobianco, Marco Comi, Giancarlo Gasperini, Claudio Patti, Francesco Pugliatti, Maura Ulivelli, Monica Trojano, Maria Lepore, Vito |
author_facet | Mosconi, Paola Guerra, Tommaso Paletta, Pasquale D’Ettorre, Antonio Ponzio, Michela Battaglia, Mario Alberto Amato, Maria Pia Bergamaschi, Roberto Capobianco, Marco Comi, Giancarlo Gasperini, Claudio Patti, Francesco Pugliatti, Maura Ulivelli, Monica Trojano, Maria Lepore, Vito |
author_sort | Mosconi, Paola |
collection | PubMed |
description | INTRODUCTION: Over the years, disease registers have been increasingly considered a source of reliable and valuable population studies. However, the validity and reliability of data from registers may be limited by missing data, selection bias or data quality not adequately evaluated or checked. This study reports the analysis of the consistency and completeness of the data in the Italian Multiple Sclerosis and Related Disorders Register. METHODS: The Register collects, through a standardized Web-based Application, unique patients. Data are exported bimonthly and evaluated to assess the updating and completeness, and to check the quality and consistency. Eight clinical indicators are evaluated. RESULTS: The Register counts 77,628 patients registered by 126 centres. The number of centres has increased over time, as their capacity to collect patients. The percentages of updated patients (with at least one visit in the last 24 months) have increased from 33% (enrolment period 2000–2015) to 60% (enrolment period 2016–2022). In the cohort of patients registered after 2016, there were ≥ 75% updated patients in 30% of the small centres (33), in 9% of the medium centres (11), and in all the large centres (2). Clinical indicators show significant improvement for the active patients, expanded disability status scale every 6 months or once every 12 months, visits every 6 months, first visit within 1 year and MRI every 12 months. CONCLUSIONS: Data from disease registers provide guidance for evidence-based health policies and research, so methods and strategies ensuring their quality and reliability are crucial and have several potential applications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10072-023-06876-9. |
format | Online Article Text |
id | pubmed-10264214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-102642142023-06-14 Data monitoring roadmap. The experience of the Italian Multiple Sclerosis and Related Disorders Register Mosconi, Paola Guerra, Tommaso Paletta, Pasquale D’Ettorre, Antonio Ponzio, Michela Battaglia, Mario Alberto Amato, Maria Pia Bergamaschi, Roberto Capobianco, Marco Comi, Giancarlo Gasperini, Claudio Patti, Francesco Pugliatti, Maura Ulivelli, Monica Trojano, Maria Lepore, Vito Neurol Sci Original Article INTRODUCTION: Over the years, disease registers have been increasingly considered a source of reliable and valuable population studies. However, the validity and reliability of data from registers may be limited by missing data, selection bias or data quality not adequately evaluated or checked. This study reports the analysis of the consistency and completeness of the data in the Italian Multiple Sclerosis and Related Disorders Register. METHODS: The Register collects, through a standardized Web-based Application, unique patients. Data are exported bimonthly and evaluated to assess the updating and completeness, and to check the quality and consistency. Eight clinical indicators are evaluated. RESULTS: The Register counts 77,628 patients registered by 126 centres. The number of centres has increased over time, as their capacity to collect patients. The percentages of updated patients (with at least one visit in the last 24 months) have increased from 33% (enrolment period 2000–2015) to 60% (enrolment period 2016–2022). In the cohort of patients registered after 2016, there were ≥ 75% updated patients in 30% of the small centres (33), in 9% of the medium centres (11), and in all the large centres (2). Clinical indicators show significant improvement for the active patients, expanded disability status scale every 6 months or once every 12 months, visits every 6 months, first visit within 1 year and MRI every 12 months. CONCLUSIONS: Data from disease registers provide guidance for evidence-based health policies and research, so methods and strategies ensuring their quality and reliability are crucial and have several potential applications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10072-023-06876-9. Springer International Publishing 2023-06-14 2023 /pmc/articles/PMC10264214/ /pubmed/37311951 http://dx.doi.org/10.1007/s10072-023-06876-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Mosconi, Paola Guerra, Tommaso Paletta, Pasquale D’Ettorre, Antonio Ponzio, Michela Battaglia, Mario Alberto Amato, Maria Pia Bergamaschi, Roberto Capobianco, Marco Comi, Giancarlo Gasperini, Claudio Patti, Francesco Pugliatti, Maura Ulivelli, Monica Trojano, Maria Lepore, Vito Data monitoring roadmap. The experience of the Italian Multiple Sclerosis and Related Disorders Register |
title | Data monitoring roadmap. The experience of the Italian Multiple Sclerosis and Related Disorders Register |
title_full | Data monitoring roadmap. The experience of the Italian Multiple Sclerosis and Related Disorders Register |
title_fullStr | Data monitoring roadmap. The experience of the Italian Multiple Sclerosis and Related Disorders Register |
title_full_unstemmed | Data monitoring roadmap. The experience of the Italian Multiple Sclerosis and Related Disorders Register |
title_short | Data monitoring roadmap. The experience of the Italian Multiple Sclerosis and Related Disorders Register |
title_sort | data monitoring roadmap. the experience of the italian multiple sclerosis and related disorders register |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264214/ https://www.ncbi.nlm.nih.gov/pubmed/37311951 http://dx.doi.org/10.1007/s10072-023-06876-9 |
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