Estimating the burden of dementia and parkinsonism through a novel identification algorithm based on healthcare administrative data
This study demonstrates the value of administrative data and the TREND protocol in improving case identification for neurodegenerative diseases. The observed geographical patterns provide insight for regional healthcare planning in the Marche region. The analysis of antipsychotic and antidepressant use underscores the clinical complexity and healthcare needs of affected individuals. The methodology is scalable and supports reproducible, data-driven strategies for public health policy in aging populations.
Authors
- Liana Spazzafumo (ORCID: https://orcid.org/0000-0002-9718-1658)
- Rina Recchioni (ORCID: https://orcid.org/0000-0002-7596-3077)
- Francesco Balducci (ORCID: https://orcid.org/0000-0001-9481-1274)
- Jacopo Sabbatinelli (ORCID: https://orcid.org/0000-0001-9947-6778)
- Leonardo Biscetti (ORCID: https://orcid.org/0000-0002-2878-9432)
- Giuseppe Pelliccioni (ORCID: https://orcid.org/0000-0002-0377-9713)
- Nicola Vanacore (ORCID: https://orcid.org/0000-0003-2817-3758)
- Olivieri Fabiola (ORCID: https://orcid.org/0000-0002-9606-1144)
- Angelica Giuliani (ORCID: https://orcid.org/0000-0002-8477-8519)
- Deborah Ramini (ORCID: https://orcid.org/0000-0001-8925-8195)
- Marco Pompili (ORCID: https://orcid.org/0000-0001-6689-2652)
- Marco Lilla
- Giuseppe Rupelli
- Maria Capalbo
Institutions
- Agenzia Regionale per la Protezione Ambientale del Piemonte (IT)
- Marche Polytechnic University (IT)
- Istituto Superiore di Sanità (IT)
- National Centre for Disease Prevention and Control (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Istituto Nazionale di Riposo e Cura per Anziani (IT)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-10-30
- DOI
- https://doi.org/10.3389/fpubh.2025.1622088
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministero della Salute