{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T05:28:20Z","timestamp":1761802100336,"version":"build-2065373602"},"reference-count":28,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T00:00:00Z","timestamp":1761782400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Neurological disorders (ND), particularly dementia and parkinsonism, are major public health challenges in aging populations. Estimating their prevalence and incidence is essential for healthcare resource planning and targeted interventions. This study aims to estimate the burden of these conditions in the Marche region of Italy, using a novel identification approach applied to administrative healthcare data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A cross-sectional study was conducted using administrative databases from the Marche region (2016\u20132021), including drug prescriptions, hospital discharge records, and chronic condition registries. The TREND protocol was used to enhance case identification. Individuals aged 40 and older were included. Age- and sex-adjusted prevalence and incidence rates were calculated for dementia, parkinsonism, and their co-occurrence. Geographic Information Systems (GIS) were used to analyze spatial distribution.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In 2021, age-adjusted prevalence rates were 7.1\u2030 for parkinsonism and 31.2\u2030 for dementia among individuals aged 40 and older, rising to 22.6\u2030 and 65.8\u2030, respectively, in those aged 65 and older. Five-year incidence rates were 1.7\u2030 for parkinsonism and 6.9\u2030 for dementia. Dementia was more common in women, while parkinsonism predominated in men. GIS revealed higher parkinsonism in southern areas and higher dementia in central and inland areas of Marche. Including antipsychotic and antidepressant prescriptions improved dementia case detection sensitivity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2025.1622088","type":"journal-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T05:23:36Z","timestamp":1761801816000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Estimating the burden of dementia and parkinsonism through a novel identification algorithm based on healthcare administrative data"],"prefix":"10.3389","volume":"13","author":[{"given":"Jacopo","family":"Sabbatinelli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leonardo","family":"Biscetti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Lilla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angelica","family":"Giuliani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Balducci","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deborah","family":"Ramini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuseppe","family":"Rupelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Pompili","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuseppe","family":"Pelliccioni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rina","family":"Recchioni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"Capalbo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicola","family":"Vanacore","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabiola","family":"Olivieri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liana","family":"Spazzafumo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2025,10,30]]},"reference":[{"key":"ref1","year":"2023"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"2838","DOI":"10.1111\/jgs.17893","article-title":"Patients living with dementia have worse outcomes when undergoing high-risk procedures","volume":"70","author":"Shah","year":"2022","journal-title":"J Am Geriatr Soc"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"e12861","DOI":"10.1111\/acel.12861","article-title":"Trends in age-related disease burden and healthcare utilization","volume":"18","author":"Atella","year":"2019","journal-title":"Aging Cell"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"e105","DOI":"10.1016\/S2468-2667(21)00249-8","article-title":"Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the global burden of disease study 2019","volume":"7","year":"2022","journal-title":"Lancet Public Health"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1186\/s40035-022-00296-z","article-title":"Advances in the development of new biomarkers for Alzheimer's disease","volume":"11","author":"Klyucherev","year":"2022","journal-title":"Transl Neurodegener"},{"key":"ref6","doi-asserted-by":"publisher","first-page":"5661","DOI":"10.1038\/s41467-024-49949-9","article-title":"Neuroimaging and fluid biomarkers in Parkinson's disease in an era of targeted interventions","volume":"15","author":"Zarkali","year":"2024","journal-title":"Nat Commun"},{"key":"ref7","volume-title":"Demographic indicators - Year 2022","year":"2023"},{"key":"ref8","volume-title":"World health statistics 2020: Monitoring health for the SDGs, sustainable development goals","year":"2020"},{"key":"ref9","doi-asserted-by":"publisher","first-page":"100445","DOI":"10.1016\/j.lanepe.2022.100445","article-title":"Economic costs of dementia in 11 countries in Europe: estimates from nationally representative cohorts of a panel study","volume":"20","author":"Meijer","year":"2022","journal-title":"Lancet Reg Health Eur"},{"key":"ref10","doi-asserted-by":"publisher","first-page":"e12327","DOI":"10.1002\/trc2.12327","article-title":"Identification of dementia and MCI cases in health information systems: an Italian validation study","volume":"8","author":"Bacigalupo","year":"2022","journal-title":"Alzheimers Dement (N Y)"},{"key":"ref11","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1146\/annurev-biodatasci-110123-041001","article-title":"Disease trajectories from healthcare data: methodologies, key results, and future perspectives","volume":"7","author":"Jorgensen","year":"2024","journal-title":"Annu Rev Biomed Data Sci"},{"key":"ref12","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1186\/s12913-021-07450-9","article-title":"Exploring social inequalities in healthcare trajectories following diagnosis of diabetes: a state sequence analysis of linked survey and administrative data","volume":"22","author":"McKay","year":"2022","journal-title":"BMC Health Serv Res"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2427\/8840","article-title":"Administrative databases as a tool for identifying healthcare demand and costs in an over-one million population","volume":"10","author":"Madotto","year":"2013","journal-title":"Epidemiol Biostat Public Health"},{"key":"ref14","doi-asserted-by":"publisher","first-page":"1354538","DOI":"10.3389\/fpubh.2024.1354538","article-title":"A study protocol for identifying aging trajectories toward chronic neurodegenerative diseases by means of Marche regional administrative databases - TREND project","volume":"12","author":"Spazzafumo","year":"2024","journal-title":"Front Public Health"},{"key":"ref15","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1093\/ageing\/afq090","article-title":"The burden of psychotropic drug prescribingin people with dementia: a populationdatabase study","volume":"39","author":"Guthrie","year":"2010","journal-title":"Age Ageing"},{"key":"ref16","doi-asserted-by":"publisher","first-page":"615","DOI":"10.1093\/eurpub\/cky270","article-title":"Estimating disease prevalence from drug utilization data using the random Forest algorithm","volume":"29","author":"Slobbe","year":"2019","journal-title":"Eur J Pub Health"},{"key":"ref17","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1186\/s13195-023-01255-0","article-title":"Association study between drug prescriptions and Alzheimer's disease claims in a commercial insurance database","volume":"15","author":"Hu","year":"2023","journal-title":"Alzheimer's Res Ther"},{"key":"ref18","doi-asserted-by":"publisher","first-page":"1471","DOI":"10.3233\/JAD-180416","article-title":"A systematic review and meta-analysis on the prevalence of dementia in Europe: estimates from the highest-quality studies adopting the DSM IV diagnostic criteria","volume":"66","author":"Bacigalupo","year":"2018","journal-title":"J Alzheimer's Dis"},{"key":"ref19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1159\/000539031","article-title":"Incidence and prevalence of dementia: a 2015-2020 population-based study in the Campania region of Italy","volume":"58","author":"Affinito","year":"2024","journal-title":"Neuroepidemiology"},{"key":"ref20","doi-asserted-by":"publisher","first-page":"2745","DOI":"10.1007\/s00415-024-12216-4","article-title":"Risk and sex-specific trends of dementia and stroke in Italy compared to European and high-income countries and the world: global implications","volume":"271","author":"Avan","year":"2024","journal-title":"J Neurol"},{"key":"ref21","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1046\/j.1532-5415.2002.50006.x","article-title":"Incidence of dementia, Alzheimer's disease, and vascular dementia in Italy. The ILSA study","volume":"50","author":"Di Carlo","year":"2002","journal-title":"J Am Geriatr Soc"},{"key":"ref22","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1038\/s41582-020-00452-x","article-title":"Inequities in neurology amplified by the COVID-19 pandemic","volume":"17","author":"Nolen","year":"2021","journal-title":"Nat Rev Neurol"},{"key":"ref23","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1186\/s12877-022-03070-y","article-title":"Changes in dementia diagnoses in Sweden during the COVID-19 pandemic","volume":"22","author":"Axenhus","year":"2022","journal-title":"BMC Geriatr"},{"key":"ref24","doi-asserted-by":"publisher","first-page":"1583","DOI":"10.1002\/mds.25945","article-title":"The prevalence of Parkinson's disease: a systematic review and meta-analysis","volume":"29","author":"Pringsheim","year":"2014","journal-title":"Mov Disord"},{"key":"ref25","doi-asserted-by":"publisher","first-page":"1709","DOI":"10.1007\/s10072-019-03872-w","article-title":"Incidence and prevalence of Parkinson's disease in the Italian region of Umbria: a population-based study using healthcare administrative databases","volume":"40","author":"Eusebi","year":"2019","journal-title":"Neurol Sci"},{"key":"ref26","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/S0140-6736(23)01419-8","article-title":"The epidemiology of Parkinson's disease","volume":"403","author":"Ben-Shlomo","year":"2024","journal-title":"Lancet"},{"key":"ref27","doi-asserted-by":"publisher","first-page":"e0198736","DOI":"10.1371\/journal.pone.0198736","article-title":"Identifying Parkinson's disease and parkinsonism cases using routinely collected healthcare data: a systematic review","volume":"14","author":"Harding","year":"2019","journal-title":"PLoS One"},{"key":"ref28","doi-asserted-by":"publisher","first-page":"1038","DOI":"10.1016\/j.jalz.2018.02.016","article-title":"Identifying dementia cases with routinely collected health data: a systematic review","volume":"14","author":"Wilkinson","year":"2018","journal-title":"Alzheimers Dement"}],"container-title":["Frontiers in Public Health"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpubh.2025.1622088\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T05:23:37Z","timestamp":1761801817000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpubh.2025.1622088\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,30]]},"references-count":28,"alternative-id":["10.3389\/fpubh.2025.1622088"],"URL":"https:\/\/doi.org\/10.3389\/fpubh.2025.1622088","relation":{},"ISSN":["2296-2565"],"issn-type":[{"value":"2296-2565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,30]]},"article-number":"1622088"}}